P. Abrahamsen, Bayesian Kriging for Seismic Depth Conversion of a Multi-Layer Reservoir, Geostatistics Tróia '92, pp.385-398, 1993.

P. Abrahamsen, P. Dahle, V. L. Hauge, A. Vazquez, and M. Vigsnes, Surface prediction using rejection sampling to handle non-linear constraints, Bulletin of Canadian Petroleum Geology, vol.63, issue.4, pp.304-317, 2015.

P. Abrahamsen, R. Hauge, K. Heggland, and P. Mostad, Estimation of Gross Rock Volume of Filled Geological Structures With Uncertainty Measures, SPE Reservoir Evaluation & Engineering, vol.3, issue.4, pp.304-309, 2000.

P. Abrahamsen, O. Lia, and H. Omre, An Integrated Approach to Prediction of Hydrocarbon in Place and Recoverable Reserve With Uncertainty Measures, 1992.

P. Abrahamsen, H. Omre, and O. Lia, Stochastic Models for Seismic Depth Conversion of Geological Horizons, 1991.

A. Aitken, E. Holden, and M. C. Dentith, Semiautomated quantification of the influence of data richness on confidence in the geologic interpretation of aeromagnetic maps, Geophysics, vol.78, issue.2, pp.1-13, 2013.

J. Alcalde, C. E. Bond, G. Johnson, R. W. Butler, M. A. Cooper et al., The importance of structural model availability on seismic interpretation. Balanced Cross-sections and Their Geological Significance 97, pp.161-171, 2017.

J. Alcalde, C. E. Bond, and C. H. Randle, Framing bias: The effect of figure presentation on seismic interpretation, Interpretation, vol.5, issue.4, pp.591-605, 2017.

J. L. Alonso and A. Teixell, Forelimb deformation in some natural examples of fault-propagation folds, Thrust Tectonics, pp.175-180, 1992.

N. Amenta and M. Bern, Surface reconstruction by Voronoi filtering, Discrete & Computational Geometry, vol.22, issue.4, pp.481-504, 1999.

M. P. Anderson, Hydrogeologic facies models to delineate large-scale spatial trends in glacial and glaciofluvial sediments, GSA Bulletin, vol.101, issue.4, pp.501-511, 1989.

M. Armstrong, A. Galli, H. Beucher, G. Loc'h, D. Renard et al., Plurigaussian Simulations in Geosciences, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00709324

W. Aspinall, A route to more tractable expert advice, Nature, vol.463, issue.7279, pp.294-295, 2010.

R. Aster, B. Borchers, and C. Thurber, Parameter Estimation and Inverse Problems, 2005.

S. Auerbach and H. Schaeben, Computer-aided geometric design of geologic surfaces and bodies, Mathematical Geology, vol.22, issue.8, pp.957-987, 1990.

C. Aug, J. Chilès, G. Courrioux, and C. Lajaunie, 3D geological modelling and uncertainty: The potential-field method, Geostatistics, pp.145-154, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00796180

J. Autin, M. Scheck-wenderoth, H. J. Götze, C. Reichert, and D. Marchal, Deep structure of the Argentine margin inferred from 3D gravity and temperature modelling, Tectonophysics, vol.676, pp.198-210, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01257562

P. Avseth, T. Mukerji, and G. Mavko, Quantitative seismic interpretation: Applying rock physics tools to reduce interpretation risk, 2010.

O. Aydin and J. K. Caers, Quantifying structural uncertainty on fault networks using a marked point process within a Bayesian framework, pp.101-124, 2017.

G. E. Backus and J. F. Gilbert, Numerical Applications of a Formalism for Geophysical Inverse Problems, Geophysical Journal International, vol.13, issue.1-3, pp.247-276, 1967.

M. C. Baddeley, A. Curtis, and R. Wood, An introduction to prior information derived from probabilistic judgements: elicitation of knowledge, cognitive bias and herding, Special Publications, vol.239, issue.1, pp.15-27, 2004.

G. Bardossy and J. Fodor, Evaluation of Uncertainties and Risks in Geology: New Mathematical Approaches for their Handling, 2004.

M. Batty, Spatial Entropy. Geographical Analysis, vol.6, issue.1, pp.1-31, 1974.

M. A. Beaumont, W. Zhang, and D. J. Balding, Approximate Bayesian Computation in Population Genetics, Genetics, vol.162, issue.4, pp.2025-2035, 2002.

L. H. Beni, M. A. Mostafavi, and J. Pouliot, Developing an adaptive topological tessellation for 3D modeling in geosciences, Geomatica, vol.63, issue.4, pp.419-431, 2009.

K. K. Benke, C. J. Pettit, and K. E. Lowell, Visualisation of spatial uncertainty in hydrological modelling, Journal of Spatial Science, vol.56, issue.1, pp.73-88, 2011.

M. Bentley and P. Ringrose, Future directions in reservoir modelling: new tools and 'fit-forpurpose' workflows, 2017.

M. Bentley and S. Smith, Scenario-based reservoir modelling: the need for more determinism and less anchoring, Special Publications, vol.309, issue.1, pp.145-159, 2008.

R. C. Berg, S. J. Mathers, H. Kessler, and D. A. Keefer, Synopsis of Current Threedimensional Geological Mapping and Modeling in Geological Survey Organizations, Tech. Rep. Circular, vol.578, 2011.

K. Beven, Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication, Hydrological Sciences Journal, vol.61, issue.9, pp.1652-1665, 2016.

K. Beven and A. Binley, GLUE: 20years on. Hydrological Processes, vol.28, pp.5897-5918, 2014.

K. Beven, R. Lamb, D. Leedal, and N. Hunter, Communicating uncertainty in flood inundation mapping: a case study, International Journal of River Basin Management, vol.13, issue.3, pp.285-295, 2014.

M. Bianchi, T. Kearsey, and A. Kingdon, Integrating deterministic lithostratigraphic models in stochastic realizations of subsurface heterogeneity. Impact on predictions of lithology, hydraulic heads and groundwater fluxes, Journal of Hydrology, vol.531, pp.557-573, 2015.

F. Bilotti, J. H. Shaw, and P. A. Brennan, Quantitative structural analysis with stereoscopic remote sensing imagery, AAPG Bulletin, vol.84, issue.6, pp.727-740, 2000.

A. Bistacchi, F. Balsamo, F. Storti, M. Mozafari, R. Swennen et al., Photogrammetric digital outcrop reconstruction, visualization with textured surfaces, and three-dimensional structural analysis and modeling: Innovative methodologies applied to fault-related dolomitization, Geosphere, vol.11, issue.6, pp.2031-2048, 2015.

A. Bistacchi, M. Massironi, V. G. Dal-piaz, B. Monopoli, A. Schiavo et al., 3D fold and fault reconstruction with an uncertainty model: An example from an Alpine tunnel case study, Computers & Geosciences, vol.34, issue.4, pp.351-372, 2008.

T. Bobach, G. Farin, D. Hansford, and G. Umlauf, Natural neighbor extrapolation using ghost points, Computer-Aided Design, vol.41, issue.5, pp.350-365, 2009.

C. E. Bond, A. D. Gibbs, Z. K. Shipton, and S. Jones, What do you think this is? "Conceptual uncertainty" in geoscience interpretation, GSA Today, vol.17, issue.11, p.4, 2007.

C. E. Bond, G. Johnson, and J. F. Ellis, Structural model creation: the impact of data type and creative space on geological reasoning and interpretation, Special Publications, vol.421, issue.1, pp.421-425, 2015.

C. E. Bond, R. J. Lunn, Z. K. Shipton, and A. D. Lunn, What makes an expert effective at interpreting seismic images?, Geology, vol.40, issue.1, pp.75-78, 2012.

J. R. Borgomano, F. Fournier, S. Viseur, and L. Rijkels, Stratigraphic well correlations for 3-D static modeling of carbonate reservoirs, AAPG bulletin, vol.92, issue.6, pp.789-824, 2008.

M. Bosch, Lithologic tomography: From plural geophysical data to lithology estimation, Journal of Geophysical Research: Solid Earth, vol.104, issue.B1, pp.749-766, 1999.

M. Bosch, A. Guillen, and P. Ledru, Lithologic tomography: an application to geophysical data from the Cadomian belt of northern Brittany, France. Tectonophysics, vol.331, issue.1-2, pp.197-227, 2001.

M. Bosch, T. Mukerji, and E. F. Gonzalez, Seismic inversion for reservoir properties combining statistical rock physics and geostatistics: A review, Geophysics, vol.75, issue.5, pp.75-165, 2010.

F. Boschetti and L. Moresi, Interactive inversion in geosciences, Geophysics, vol.66, issue.4, pp.1226-1234, 2001.

A. Bostrom, L. Anselin, and J. Farris, Visualizing Seismic Risk and Uncertainty, Annals of the New York Academy of Sciences, vol.1128, issue.1, pp.29-40, 2008.

C. Botter, N. Cardozo, S. Hardy, I. Lecomte, G. Paton et al., Seismic characterisation of fault damage in 3D using mechanical and seismic modelling, Marine and Petroleum Geology, vol.77, pp.973-990, 2016.

M. Bourges, J. Mari, and N. Jeannée, A practical review of geostatistical processing applied to geophysical data: Methods and applications: Geostatistical processing applied to geophysical data, Geophysical Prospecting, vol.60, issue.3, pp.400-412, 2012.

R. A. Bowden, Building confidence in geological models, Special Publications, vol.239, issue.1, pp.157-173, 2004.

R. A. Bowden, Optimal elicitation of probabilistic information from experts, Special Publications, vol.239, issue.1, pp.127-145, 2004.

S. Brandel, S. Schneider, M. Perrin, N. Guiard, J. Rainaud et al., Automatic Building of Structured Geological Models, Journal of Computing and Information Science in Engineering, vol.5, issue.2, p.138, 2005.

R. Brown, Animated visual vibrations as an uncertainty visualisation technique, 2004.

M. Bruen, P. Krahe, M. Zappa, J. Olsson, B. Vehvilainen et al., Visualizing flood forecasting uncertainty: some current European EPS platforms-COST731 working group 3, Atmospheric Science Letters, vol.11, issue.2, pp.92-99, 2010.

B. Buttenfield, Representing Data Quality. Cartographica: The International Journal for Geographic Information and Geovisualization, vol.30, pp.1-7, 1993.

J. Caers, Modeling Uncertainty in the Earth Sciences, 2011.

P. Calcagno, J. Chiles, G. Courrioux, and A. Guillen, Geological modelling from field data and geological knowledge: Part I. Modelling method coupling 3D potential-field interpolation and geological rules: Recent Advances in Computational Geodynamics: Theory, Numerics and Applications, Physics of the Earth and Planetary Interiors, vol.171, issue.1-4, pp.147-157, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00569266

N. Cardozo and S. Aanonsen, Optimized trishear inverse modeling, Journal of Structural Geology, vol.31, issue.6, pp.546-560, 2009.

N. Cardozo and J. P. Brandenburg, Kinematic modeling of folding above listric propagating thrusts, Journal of Structural Geology, vol.60, pp.1-12, 2014.

T. Carmichael and L. Ailleres, Method and analysis for the upscaling of structural data, Journal of Structural Geology, vol.83, pp.121-133, 2016.

C. J. Carr, K. R. Beatson, B. J. Cherrie, J. T. Mitchell, R. W. Fright et al., Reconstruction and representation of 3D objects with radial basis functions, Proceedings of the 28th annual conference on Computer graphics and interactive techniques, pp.67-76, 2001.

O. Catuneanu, W. E. Galloway, C. G. Kendall, A. D. Miall, H. W. Posamentier et al., Sequence Stratigraphy: Methodology and Nomenclature. Newsletters on Stratigraphy, vol.44, issue.3, pp.173-245, 2011.

G. Caumon, Towards stochastic time-varying geological modeling, Mathematical Geosciences, vol.42, issue.5, pp.555-569, 2010.

G. Caumon, Geological Objects and Physical Parameter Fields in the Subsurface: A Review, pp.567-588, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01824190

G. Caumon, P. Collon-drouaillet, . Le-carlier-de, C. Veslud, S. Viseur et al., Surfacebased 3D modeling of geological structures, Mathematical Geosciences, vol.41, issue.8, pp.927-945, 2009.
URL : https://hal.archives-ouvertes.fr/insu-00429910

G. Caumon, G. Gray, C. Antoine, and M. Titeux, Three-Dimensional Implicit Stratigraphic Model Building From Remote Sensing Data on Tetrahedral Meshes: Theory and Application to a Regional Model of La Popa Basin, NE Mexico. Geoscience and Remote Sensing, IEEE Transactions on, vol.51, issue.3, pp.1613-1621, 2013.

G. Caumon, G. Laurent, N. Cherpeau, F. Lallier, R. Merland et al., Structural Framework and Reservoir Gridding: Current Bottlenecks and Way Forward, Closing the Gap: Advances in Applied Geomodeling for Hydrocarbon Reservoirs. CSPG, pp.43-52, 2013.

G. Caumon, F. Lepage, C. H. Sword, and J. Mallet, Building and editing a sealed geological model, Mathematical Geology, vol.36, issue.4, pp.405-424, 2004.

G. Caumon, C. H. Sword, and J. Mallet, Constrained modifications of non-manifold b-reps, Proceedings of the Eighth ACM Symposium on Solid Modeling and Applications, pp.310-315, 2003.

G. Caumon, A. L. Tertois, and L. Zhang, Elements for Stochastic Structural Perturbation of Stratigraphic Models, 2007.

A. J. Cawood, C. E. Bond, J. A. Howell, R. W. Butler, and Y. Totake, LiDAR, UAV or compass-clinometer? Accuracy, coverage and the effects on structural models, Journal of Structural Geology, vol.98, pp.67-82, 2017.

T. C. Chamberlin, Studies for Students: The Method of Multiple Working Hypotheses, The Journal of Geology, vol.5, issue.8, pp.837-848

T. Charles, J. M. Guemene, B. Corre, G. Vincent, and O. Dubrule, Experience with the Quantification of Subsurface Uncertainties, 2001.

N. Cherpeau and G. Caumon, Stochastic structural modelling in sparse data situations, Petroleum Geoscience, vol.21, issue.4, pp.233-247, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01276852

N. Cherpeau, G. Caumon, J. Caers, and B. Levy, Method for Stochastic Inverse Modeling of Fault Geometry and Connectivity Using Flow Data, Mathematical Geosciences, vol.44, issue.2, pp.147-168, 2012.

N. Cherpeau, G. Caumon, and B. Lévy, Stochastic simulations of fault networks in 3D structural modeling, Comptes Rendus Geoscience, vol.342, issue.9, pp.687-694, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00602500

J. P. Chilès, C. Aug, A. Guillen, and T. Lees, Modelling the Geometry of Geological Units and its Uncertainty in 3D From Structural Data: The Potential-Field Method, Proc. Orebody Modelling and Strategic Mine Planning, pp.313-320, 2004.

J. Chiles and P. Delfiner, Geostatistics: Modeling Spatial Uncertainty, 2nd Edition. Wiley series in probability and statistics, 2012.

R. G. Clapp, B. L. Biondi, and J. F. Claerbout, Incorporating geologic information into reflection tomography, GEOPHYSICS, vol.69, issue.2, pp.533-546, 2004.

P. Collon, A. Pichat, C. Kergaravat, A. Botella, G. Caumon et al., 3D modeling from outcrop data in a salt tectonic context: Example from the Inceyol minibasin, Turkey. Interpretation, vol.4, issue.3, pp.17-31, 2016.

P. Collon-drouaillet, W. Steckiewicz-laurent, J. Pellerin, G. Laurent, G. Caumon et al., 3D geomodelling combining implicit surfaces and Voronoi-based remeshing: A case study in the Lorraine Coal Basin (France), Computers & Geosciences, vol.77, pp.29-43, 2015.

A. Comber, P. Fisher, C. Brunsdon, and A. Khmag, Spatial analysis of remote sensing image classification accuracy. Remote sensing of environment, vol.127, pp.237-246, 2012.

R. M. Cooke, Experts in Uncertainty: Opinion and Subjective Probability in Science, 1991.

S. Corbel and F. Wellmann, Framework for multiple hypothesis testing improves the use of legacy data in structural geological modeling, GeoResJ, vol.6, pp.202-212, 2015.

B. Corre, P. Thore, V. De-feraudy, and G. Vincent, Integrated Uncertainty Assessment For Project Evaluation and Risk Analysis, 2000.

G. Courrioux, S. Nullans, A. Guillen, J. D. Boissonnat, P. Repusseau et al., ): an automatic method using Vorono diagrams, 3D volumetric modelling of Cadomian terranes, vol.331, pp.181-196, 2001.

T. M. Cover and J. A. Thomas, Elements of Information Theory, 2005.

E. J. Cowan, R. K. Beatson, W. R. Fright, T. J. Mclennan, and T. J. Mitchell, Rapid Geological Modelling. Applied Structural Geology for Mineral Exploration and Mining, 2002.

A. L. Cox, Artifactual Uncertainty in Risk Analysis, Risk Analysis, vol.2, issue.3, pp.121-135, 1982.

J. Cox, D. House, and M. Lindell, Visualizing uncertainty in predicted hurricane tracks, International Journal for Uncertainty Quantification, vol.3, issue.2, pp.143-156, 2013.

R. T. Cox, Probability, Frequency and Reasonable Expectation, American Journal of Physics, vol.14, issue.1, pp.1-13, 1946.

M. J. Cracknell and A. M. Reading, The upside of uncertainty: Identification of lithology contact zones from airborne geophysics and satellite data using random forests and support vector machines, Geophysics, vol.78, issue.3, pp.113-126, 2013.

M. J. Cracknell and A. M. Reading, Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information, Computers and Geosciences, vol.63, pp.22-33, 2014.

N. Cressie, The origins of kriging, Mathematical Geology, vol.22, issue.3, pp.239-252, 1990.

M. G. Culshaw, From concept towards reality: developing the attributed 3D geological model of the shallow subsurface, Quarterly Journal of Engineering Geology and Hydrogeology, vol.38, issue.3, pp.231-284, 2005.

A. Curtis, The science of subjectivity, Geology, vol.40, issue.1, pp.95-96, 2012.

A. Curtis and A. Lomax, Prior information, sampling distributions, and the curse of dimensionality, Geophysics, vol.66, issue.2, pp.372-378, 2001.

A. Curtis and R. Wood, Optimal elicitation of probabilistic information from experts, Special Publications, vol.239, issue.1, pp.127-145, 2004.

R. J. Davies, S. A. Stewart, J. A. Cartwright, M. Lappin, R. Johnston et al., 3D Seismic Technology: Are We Realising Its Full Potential?, London, Memoirs, vol.29, issue.1, pp.1-10, 2004.

C. J. Davis, Statistics and data analysis in geology, 2002.

E. A. De-kemp and K. B. Sprague, Interpretive Tools for 3-D Structural Geological Modeling Part I: Bézier-Based Curves, Ribbons and Grip Frames, Geoinformatica, vol.7, issue.1, pp.55-71, 2003.

M. De-la-varga, A. Schaaf, and F. Wellmann, GemPy 1.0: open-source stochastic geological modeling and inversion, Geoscientific Model Development Discussions, pp.1-50, 2018.

M. De-la-varga and F. Wellmann, Structural geologic modeling as an inference problem: A Bayesian perspective, Interpretation, vol.4, issue.3, pp.1-16, 2016.

D. G. De-paor, Bézier Curves and Geological Design, Computer Methods in the Geosciences. Pergamon, pp.389-417, 1996.

P. Delfiner and J. Chiles, Conditional Simulations : A New Monte Carlo Approach To Probabilistic Evaluation Of Hydrocarbon In Place, 1977.

V. Demyanov, D. Arnold, T. Rojas, and M. Christie, Uncertainty Quantification in Reservoir Prediction: Part 2-Handling Uncertainty in the Geological Scenario, Mathematical Geosciences, vol.50, issue.17, pp.1-24, 2018.

V. Demyanov, L. Backhouse, and M. Christie, Geological feature selection in reservoir modelling and history matching with Multiple Kernel Learning, Computers and Geosciences, vol.85, pp.16-25, 2015.

M. Dentith and S. T. Mudge, Geophysics for the mineral exploration geoscientist, 2014.

S. Djurcilov, K. Kim, P. Lermusiaux, and A. Pang, Visualizing scalar volumetric data with uncertainty, Computers & Graphics, vol.26, issue.2, pp.239-248, 2002.

S. Djurcilov, K. Kim, P. F. Lermusiaux, and A. Pang, Volume Rendering Data with Uncertainty Information, Data Visualization, pp.243-252, 2001.

G. A. Dorn, Modern 3-D seismic interpretation, The Leading Edge, vol.17, issue.9, pp.1262-1262, 1998.

D. Dubois and H. Prade, Fundamentals of Fuzzy Sets (The Handbooks of Fuzzy Sets), softcover reprint of the original, 2012.

O. Dubrule, Comparing splines and kriging, Computers & Geosciences, vol.10, issue.2-3, pp.327-338, 1984.

P. Durand-riard, G. Caumon, and P. Muron, Balanced restoration of geological volumes with relaxed meshing constraints, Computers & Geosciences, vol.36, issue.4, pp.441-452, 2010.

J. Edwards, F. Lallier, G. Caumon, and C. Carpentier, Uncertainty management in stratigraphic well correlation and stratigraphic architectures: A training-based method, Computers & Geosciences, vol.111, pp.1-17, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01622252

J. Eidsvik, T. Mukerji, and P. Switzer, Estimation of Geological Attributes from a Well Log: An Application of Hidden Markov Chains, Mathematical Geology, vol.36, issue.3, pp.379-397, 2004.

A. M. Elfeki and F. M. Dekking, Modelling Subsurface Heterogeneity by Coupled Markov Chains: Directional Dependency, Walther's Law and Entropy, Geotechnical & Geological Engineering, vol.23, issue.6, pp.721-756, 2005.

C. L. Farmer, Mathematical Methods and Modelling in Hydrocarbon Exploration and Production, pp.119-212, 2005.

O. Fernández, J. A. Muñoz, P. Arbués, O. Falivene, and M. Marzo, Three-dimensional reconstruction of geological surfaces: An example of growth strata and turbidite systems from the ainsa basin (pyrenees, spain), AAPG Bulletin, vol.88, issue.8, pp.1049-1068, 2004.

D. A. Ferrill, A. P. Morris, J. A. Stamatakos, and D. W. Sims, Crossing conjugate normal faults, AAPG bulletin, vol.84, issue.10, pp.1543-1559, 2000.

A. Fichtner, D. Van-herwaarden, M. Afanasiev, S. Simut?, L. Krischer et al., The Collaborative Seismic Earth Model: Generation 1. Geophysical Research Letters, vol.45, issue.9, pp.4007-4016, 2018.

N. I. Fisher, B. J. Embelton, and T. Lewis, Statistical analysis of spherical data, 1993.

P. Fisher, A. Comber, and R. Wadsworth, Approaches to Uncertainty in Spatial Data, Fundamentals of Spatial Data Quality. ISTE, pp.43-59, 2006.

R. Fisher, Dispersion on a Sphere, Proceedings of the Royal Society of London. Series A, vol.217, p.295, 1130.

T. R. Fisher and R. Q. Wales, Three Dimensional Solid Modeling of Geo-Objects Using NonUniform Rational B-Splines (NURBS), pp.85-105, 1992.

A. Ford and T. G. Blenkinsop, Evaluating geological complexity and complexity gradients as controls on copper mineralisation, Mt Isa Inlier, Australian Journal of Earth Sciences, vol.55, issue.1, pp.13-23, 2008.

D. N. Ford and J. D. Sterman, Expert knowledge elicitation to improve formal and mental models, System Dynamics Review, vol.14, issue.4, pp.309-340, 1998.

T. Frank, A. Tertois, and J. Mallet, 3D-reconstruction of complex geological interfaces from irregularly distributed and noisy point data, Computers & Geosciences, vol.33, issue.7, pp.932-943, 2007.

N. P. Fremming, 3D Geological Model Construction Using a 3D Grid, ECMOR VIII-8th European Conference on the Mathematics of Oil Recovery, 2002.

R. Frodeman, Geological reasoning: Geology as an interpretive and historical science, GSA Bulletin, vol.107, issue.8, pp.960-968, 1995.

P. K. Fullagar, G. A. Pears, and B. Mcmonnies, Constrained inversion of geologic surfacespushing the boundaries, The Leading Edge, vol.27, issue.1, pp.98-105, 2008.

L. A. Gallardo and M. A. Meju, Characterization of heterogeneous near-surface materials by joint 2D inversion of dc resistivity and seismic data, Geophys. Res. Lett, vol.30, issue.13, p.3018, 2003.

L. A. Gallardo and M. A. Meju, Structure-coupled multiphysics imaging in geophysical sciences, Reviews of Geophysics, vol.49, issue.1, p.3115, 2011.

A. Galli, H. Beucher, G. Le-loc'h, and B. Doligez, The pros and cons of the truncated Gaussian method, Geostatistical Simulations, pp.217-233, 1994.

D. E. Gawith and P. A. Gutteridge, Seismic Validation of Reservoir Simulation Using a Shared Earth Model, Petroleum Geoscience, vol.2, issue.2, pp.97-103, 1996.

A. Gelman, J. B. Carlin, H. S. Stern, and D. B. Rubin, Bayesian data analysis, 1995.

F. Georgsen, P. Røe, A. R. Syversveen, and O. Lia, Fault displacement modelling using 3D vector fields, Computational Geosciences, vol.16, issue.2, pp.247-259, 2012.

K. A. Giles and T. F. Lawton, Halokinetic sequence stratigraphy adjacent to the El Papalote diapir, northeastern Mexico, AAPG Bulletin, vol.86, issue.5, pp.823-840, 2002.

J. Giraud, E. Pakyuz-charrier, M. W. Jessell, M. Lindsay, R. Martin et al., Uncertainty reduction through geologically conditioned petrophysical constraints in joint inversionConditioned petrophysical constraints, Geophysics, vol.82, issue.6, pp.19-34, 2017.

H. Gjøystdal, J. E. Reinhardsen, and K. Åstebøl, Computer Representation of Complex 3-D Geological Structures using a new "Sold Modeling, Technique. Geophysical Prospecting, vol.33, issue.8, pp.1195-1211, 1985.

E. M. Glinsky, B. Asher, R. Hill, M. Flynn, M. Stanley et al., Integration of uncertain subsurface information into multiple reservoir simulation models, The Leading Edge, vol.24, issue.10, pp.990-999, 2005.

K. Goda and J. Song, Uncertainty modeling and visualization for tsunami hazard and risk mapping: a case study for the 2011 Tohoku earthquake, Stochastic Environmental Research and Risk Assessment, vol.30, issue.8, pp.2271-2285, 2015.

G. Godefroy, Modlisation cinmatique et stochastique des failles partir de donnes parses pour lanalyse des incertitudes structurales, 2018.

G. Godefroy, G. Caumon, M. Ford, G. Laurent, C. A. Jackson et al., A parametric fault displacement model to introduce kinematic control into modeling faults from sparse data, Interpretation, vol.6, issue.2, pp.1-14, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01738149

Í. G. Gonçalves, S. Kumaira, and F. Guadagnin, A machine learning approach to the potential-field method for implicit modeling of geological structures, Computers and Geosciences, vol.103, pp.173-182, 2017.

F. M. Goodchild, B. Buttenfield, and J. Wood, Introduction to visualizing data validity, Visualization in Geographical Information Systems, pp.141-149, 1994.

F. M. Goodchild, L. Chih-chang, and Y. Leung, Visualizing fuzzy maps, Visualization in Geographical Information Systems, pp.158-167, 1994.

P. Goovaerts, Geostatistics for natural resources evaluation, 1997.

H. J. Götze and B. Lahmeyer, Application of three-dimensional interactive modeling in gravity and magnetics, Geophysics, vol.53, issue.8, pp.1096-1108, 1988.

S. Gradmann, J. Ebbing, and J. Fullea, Integrated geophysical modelling of a lateral transition zone in the lithospheric mantle under Norway and Sweden, Geophysical Journal International, vol.194, issue.3, pp.1358-1373, 2013.

D. Grana, Joint facies and reservoir properties inversionJoiFRI, Geophysics, vol.83, issue.3, pp.15-24, 2018.

D. Grana, M. Pirrone, and T. Mukerji, Quantitative log interpretation and uncertainty propagation of petrophysical properties and facies classification from rock-physics modeling and formation evaluation analysis, Geophysics, vol.77, issue.3, pp.45-63, 2012.

J. Gratier and B. Guillier, Compatibility constraints on folded and faulted strata and calculation of total displacement using computational restoration (UNFOLD program), Journal of Structural Geology, vol.15, issue.3-5, pp.391-402, 1993.

L. Greengard and V. Rokhlin, A fast algorithm for particle simulations, Journal of Computational Physics, vol.73, issue.2, pp.325-348, 1987.

E. Greenly, Methods in geological surveying, Thomas Murby And Co, vol.4, 1930.

E. J. Gringarten, G. B. Arpat, M. A. Haouesse, A. Dutranois, L. Deny et al., New Grids for Robust Reservoir Modeling, 2008.

L. Grose, G. Laurent, L. Ailleres, R. Armit, M. W. Jessell et al., Structural data constraints for implicit modeling of folds. Balanced Cross-sections and Their Geological Significance, vol.104, pp.80-92, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01618660

L. Grose, G. Laurent, L. Ailleres, R. Armit, M. W. Jessell et al., Inversion of Structural Geology Data for Fold Geometry, Journal of Geophysical Research: Solid Earth, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01853382

A. Guillen, P. Calcagno, G. Courrioux, A. Joly, and P. Ledru, Geological modelling from field data and geological knowledge: Part II. Modelling validation using gravity and magnetic data inversion: Recent Advances in Computational Geodynamics: Theory, Numerics and Applications, Physics of the Earth and Planetary Interiors, vol.171, issue.1-4, pp.158-169, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00644012

J. L. Guiziou, J. L. Mallet, and R. Madariaga, 3-D seismic reflection tomography on top of the GOCAD depth modeler, Geophysics, vol.61, issue.5, pp.1499-1510, 1996.

C. Haase, J. Ebbing, and T. Funck, A 3D regional crustal model of the NE Atlantic based on seismic and gravity data, Special Publications, vol.447, issue.1, pp.233-247, 2017.

D. Hale and J. Emanuel, Seismic interpretation using global image segmentation, SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists, pp.2410-2413, 2003.

R. L. Hardy, Multiquadric Equations of Topography and Other Irregular Surfaces, Journal of Geophysical Research, vol.76, issue.8, pp.1905-1915, 1971.

J. R. Harris, Remote Predictive Mapping (RPM): A not so New Paradigm for Mapping Canada's North, Geoscience Canada, vol.34, p.2, 2007.

J. R. Harris, L. Wickert, T. Lynds, P. Behnia, R. Rainbird et al., Remote Predictive Mapping 3. Optical Remote Sensing -A Review for Remote Predictive Geological Mapping in Northern Canada, Geoscience Canada, vol.38, issue.2, 2011.

J. Hauser, K. M. Dyer, M. E. Pasyanos, H. Bungum, J. I. Faleide et al., A probabilistic seismic model for the European Arctic, J. Geophys. Res, vol.116, issue.B1, p.1303, 2011.

J. Hauser, J. Gunning, and D. Annetts, Probabilistic inversion of airborne electromagnetic data under spatial constraints, Geophysics, vol.80, issue.2, pp.135-146, 2015.

J. Hauser, J. Gunning, and D. Annetts, Probabilistic inversion of airborne electromagnetic data for basement conductors, Geophysics, vol.81, issue.5, pp.389-400, 2016.

V. Henrion, G. Caumon, and N. Cherpeau, ODSIM: An Object-Distance Simulation method for conditioning complex natural structures, Mathematical Geosciences, vol.42, issue.8, pp.911-924, 2010.

D. A. Herron, Pitfalls in horizon autopicking, Interpretation, vol.3, issue.1, pp.1-4, 2015.

M. J. Hillier, E. M. Schetselaar, E. A. De-kemp, and G. Perron, Three-Dimensional Modelling of Geological Surfaces Using Generalized Interpolation with Radial Basis Functions, Mathematical Geosciences, vol.46, issue.8, pp.931-953, 2014.

K. S. Hoffman and J. W. Neave, The fused fault block approach to fault network modelling, Special Publications, vol.292, issue.1, pp.75-87, 2007.

K. S. Hoffman and J. W. Neave, The fused fault block approach to fault network modelling, Special Publications, vol.292, issue.1, pp.75-87, 2007.

E. Holden, J. C. Wong, P. Kovesi, D. Wedge, M. Dentith et al., Identifying structural complexity in aeromagnetic data: An image analysis approach to greenfields gold exploration, Ore Geology Reviews, vol.46, pp.47-59, 2012.

L. Holden, P. Mostad, B. Nielsen, J. Gjerde, C. Townsend et al., Stochastic Structural Modeling, Mathematical Geology, vol.35, issue.8, pp.899-914, 2003.

K. Hollund, P. Mostad, B. F. Nielsen, L. Holden, J. Gjerde et al., Havana-a fault modeling tool, Norwegian Petroleum Society Special Publications, vol.11, pp.157-171, 2002.

P. Hornby, F. Boschetti, and F. Horowitz, Analysis of potential field data in the wavelet domain, Geophysical Journal of the Royal Astronomical Society, vol.137, issue.1, pp.175-196, 1999.

S. W. Houlding, 3D Geoscience Modeling Computer Techniques for Geological Characterization, 1994.

L. Y. Hu and T. Chugunova, Multiple-point geostatistics for modeling subsurface heterogeneity: A comprehensive review: REVIEW OF MULTIPLE POI, Water Resources Research, vol.44, issue.11, 2008.

M. R. Hudec and M. P. Jackson, Terra infirma: Understanding salt tectonics, Earth-Science Reviews, vol.82, issue.1-2, pp.1-28, 2007.

M. Irakarama, P. Cupillard, G. Caumon, and P. Sava, Appraising structural models using seismic data: Problem and challenges, SEG Technical Program Expanded Abstracts, pp.1897-1901, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01868470

A. D. Irving, E. Chavanne, V. Faure, P. Buffet, and E. Barber, An uncertainty modelling workflow for structurally compartmentalized reservoirs, Special Publications, vol.347, issue.1, pp.283-299, 2010.

C. A. Jackson and K. E. Kane, 3D Seismic Interpretation Techniques: Applications to Basin Analysis, vol.96, 2012.

W. J. Jacoby and P. L. Smilde, Gravity Interpretation, 2009.

E. T. Jaynes and G. L. Bretthorst, Probability Theory: The Logic of Science, 2003.

M. W. Jessell, Noddy" -An interactive Map creation Package, 1981.

M. W. Jessell, L. Ailleres, E. De-kemp, M. Lindsay, F. Wellmann et al., Next Generation Three-Dimensional Geologic Modeling and Inversion, Society of Economic Geologists Special Publication, vol.18, pp.261-272, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01301696

M. W. Jessell, L. Ailleres, and A. E. Kemp, Towards an Integrated Inversion of Geoscientific data: what price of, Geology? Tectonophysics, vol.490, issue.3-4, pp.294-306, 2010.

M. W. Jessell and R. K. Valenta, Structural geophysics: Integrated structural and geophysical modelling, Computer Methods in the Geosciences, vol.15, pp.303-324, 1996.

C. Johnson and T. Jones, Putting Geology Into Reservoir Simulations: A Three-Dimensional Modeling Approach, 1988.

A. Joly, Y. Chen, M. Faure, and G. Martelet, A multidisciplinary study of a syntectonic pluton close to a major lithospheric-scale fault -Relationships between the Montmarault granitic massif and the Sillon Houiller Fault in the Variscan French Massif Central: 1. Geochronology, mineral fabrics, and tectonic implications, J. Geophys. Res, vol.112, 2007.

A. Joly, M. Faure, G. Martelet, and Y. Chen, Gravity inversion, AMS and geochronological investigations of syntectonic granitic plutons in the southern part of the Variscan French Massif Central, Journal of Structural Geology, vol.31, issue.4, pp.421-443, 2009.
URL : https://hal.archives-ouvertes.fr/insu-00352868

A. Joly, G. Martelet, Y. Chen, and M. Faure, A multidisciplinary study of a syntectonic pluton close to a major lithospheric-scale fault-Relationships between the Montmarault granitic massif and the Sillon Houiller Fault in the Variscan French Massif Central: 2. Gravity, aeromagnetic investigations, and 3-D geologic modeling, Journal of Geophysical Research, vol.113, 1404.

R. R. Jones, J. K. Mccaffrey, W. R. Wilson, and E. R. Holdsworth, Digital field data acquisition: towards increased quantification of uncertainty during geological mapping, Special Publications, vol.239, issue.1, p.43, 2004.

A. G. Journel, The abuse of principles in model building and the quest for objectivity, Geostatistics Wollongong '96, vol.1, pp.3-14, 1997.

A. G. Journel and C. J. Huijbregts, Mining Geostatistics, 1978.

C. Julio, G. Caumon, and M. Ford, Impact of the en echelon fault connectivity on reservoir flow simulations. Interpretation, vol.3, pp.23-34, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01281809

A. Jung, D. H. Fenwick, and J. Caers, Training image-based scenario modeling of fractured reservoirs for flow uncertainty quantification, Comput Geosci, vol.17, issue.6, pp.1015-1031, 2013.

S. I. Kabanikhin, Definitions and examples of inverse and ill-posed problems, Journal of Inverse and Ill-posed Problems, vol.16, issue.4, 2008.

R. Kamei and D. Lumley, Full waveform inversion of repeating seismic events to estimate time-lapse velocity changes, Geophysical Journal International, vol.209, issue.2, pp.1239-1264, 2017.

O. Kaufmann and T. Martin, 3D Geological Modelling from Boreholes, Cross-Sections and Geological Maps, Application over Former Natural Gas Storages in Coal Mines, Computers & Geosciences, vol.34, issue.3, pp.278-290, 2008.

B. Kelk, 3-D Modelling With Geoscientific Information Systems: The Problem, pp.29-37, 1992.

H. Kessler, S. Mathers, and H. Sobisch, The Capture and Dissemination of Integrated 3D Geospatial Knowledge at the British Geological Survey Using GSI3D Software and Methodology, Computers & Geosciences, vol.35, issue.6, pp.1311-1321, 2009.

A. L. Kidd, Knowledge Acquisition. In: Knowledge Acquisition for Expert Systems, pp.1-16, 1987.

Y. Kim and D. J. Sanderson, The relationship between displacement and length of faults: A review, Earth-Science Reviews, vol.68, issue.3-4, pp.317-334, 2005.

D. B. Kitts, Certainty and uncertainty in geology, American Journal of Science, vol.276, issue.1, pp.29-46, 1976.

A. D. Kiureghian and O. Ditlevsen, Aleatory or epistemic? Does it matter?, Structural Safety, vol.31, issue.2, pp.105-112, 2009.

M. Kunz, A. Grêt-regamey, and L. Hurni, Visualization of uncertainty in natural hazards assessments using an interactive cartographic information system, Natural Hazards, vol.59, issue.3, pp.1735-1751, 2011.

C. Lajaunie, G. Courrioux, and L. Manuel, Foliation Fields and 3D Cartography in Geology: Principles of a Method Based on Potential Interpolation, Mathematical Geology, vol.29, issue.4, pp.571-584, 1997.

F. Lallier, G. Caumon, J. Borgomano, S. Viseur, F. Fournier et al., Relevance of the stochastic stratigraphic well correlation approach for the study of complex carbonate settings: Application to the Malampaya buildup (Offshore Palawan, Philippines), Special Publications, vol.370, issue.1, pp.265-275, 2012.

F. Lallier, G. Caumon, J. Borgomano, S. Viseur, J. Royer et al., Uncertainty assessment in the stratigraphic well correlation of a carbonate ramp: Method and application to the Beausset Basin, Comptes Rendus Geoscience, vol.348, issue.7, pp.499-509, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01765503

D. J. Lary, A. H. Alavi, A. H. Gandomi, and A. L. Walker, Machine learning in geosciences and remote sensing, Geoscience Frontiers, vol.7, issue.1, pp.3-10, 2016.

G. Laurent, Iterative Thickness Regularization of Stratigraphic Layers in Discrete Implicit Modeling, Mathematical Geosciences, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01338981

G. Laurent, L. Ailleres, L. Grose, G. Caumon, M. W. Jessell et al., Implicit modeling of folds and overprinting deformation, Earth and Planetary Science Letters, vol.456, pp.26-38, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01390858

G. Laurent, G. Caumon, A. Bouziat, and M. Jessell, A parametric method to model 3D displacements around faults with volumetric vector fields, Tectonophysics, vol.590, pp.83-93, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01301478

G. Laurent, G. Caumon, and M. Jessell, Interactive editing of 3D geological structures and tectonic history sketching via a rigid element method, Computers & Geosciences, vol.74, pp.71-86, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01281805

M. Lecour, R. Cognot, I. Duvinage, P. Thore, and J. Dulac, Modelling of stochastic faults and fault networks in a structural uncertainty study, Petroleum Geoscience, vol.7, pp.31-42, 2001.

P. Lelièvre, D. Oldenburg, and N. Williams, Constraining geophysical inversions with geologic information, SEG Technical Program Expanded Abstracts, pp.1223-1227, 2008.

P. G. Lelièvre and D. W. Oldenburg, A comprehensive study of including structural orientation information in geophysical inversions, Geophysical Journal International, vol.178, issue.2, pp.623-637, 2009.

M. R. Lelliott, M. R. Cave, and G. P. Wealthall, A structured approach to the measurement of uncertainty in 3D geological models, Quarterly Journal of Engineering Geology and Hydrogeology, vol.42, issue.1, pp.95-105, 2009.

A. M. Lemon and N. L. Jones, Building solid models from boreholes and user-defined crosssections, Computers & Geosciences, vol.29, issue.5, pp.547-555, 2003.

Y. Leung, F. M. Goodchild, and C. C. Lin, Visualization of fuzzy scenes and probability fields, Computing?Science and Statistics, pp.416-416, 1993.

L. Li, J. Caers, and P. Sava, Assessing seismic uncertainty via geostatistical velocity-model perturbation and image registration: An application to subsalt imaging, The Leading Edge, vol.34, issue.9, pp.1064-1070, 2015.

Y. Li and D. W. Oldenburg, 3-D inversion of gravity data, Geophysics, vol.63, issue.1, pp.109-119, 1998.

Y. Li and D. W. Oldenburg, Incorporating geological dip information into geophysical inversions, Geophysics, vol.65, issue.1, pp.148-157, 2000.

N. J. Lim, S. A. Brandt, and S. Seipel, Visualisation and evaluation of flood uncertainties based on ensemble modelling, International Journal of Geographical Information Science, vol.30, issue.2, pp.240-262, 2015.

N. Linde, D. Ginsbourger, J. Irving, F. Nobile, and A. Doucet, On uncertainty quantification in hydrogeology and hydrogeophysics, Advances in Water Resources, vol.110, pp.166-181, 2017.

M. Lindsay, L. Ailleres, M. W. Jessell, E. De-kemp, and P. G. Betts, Locating and quantifying geological uncertainty in three-dimensional models: Analysis of the Gippsland Basin, pp.10-27, 2012.

M. Lindsay, S. Perrouty, M. W. Jessell, and L. Ailleres, Inversion and Geodiversity: Searching Model Space for the Answers, Mathematical Geosciences, vol.46, issue.8, pp.971-1010, 2014.

M. D. Lindsay, M. W. Jessell, L. Ailleres, S. Perrouty, E. De-kemp et al., Geodiversity: Exploration of 3D geological model space, Tectonophysics, vol.594, pp.27-37, 2013.

M. D. Lindsay, S. Perrouty, M. W. Jessell, and L. Ailleres, Making the link between geological and geophysical uncertainty: geodiversity in the Ashanti Greenstone Belt, Geophysical Journal International, vol.195, issue.2, pp.903-922, 2013.

T. Lochbühler, J. A. Vrugt, M. Sadegh, and N. Linde, Summary statistics from training images as prior information in probabilistic inversion, Geophysical Journal International, vol.201, issue.1, pp.157-171, 2015.

J. Lomask, A. Guitton, S. Fomel, J. Claerbout, and A. A. Valenciano, Flattening without picking, GEOPHYSICS, vol.71, issue.4, pp.13-20, 2006.

A. M. Maceachren, Visualizing Uncertain Information, Cartographic Perspectives, vol.0, issue.13, pp.10-19, 1992.

M. A. Maceachren, A. Robinson, S. Hopper, S. Gardner, R. Murray et al., Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know, Cartography and Geographic Information Science, vol.32, issue.3, pp.139-161, 2005.

D. J. Mackay, Information Theory, Inference, and Learning Algorithms, 2003.

L. Maerten, P. Gillespie, and J. Daniel, Three-dimensional geomechanical modeling for constraint of subseismic fault simulation, AAPG Bulletin, vol.90, issue.9, pp.1337-1358, 2006.

J. Mallet, Automatic Contouring in Presence of Discontinuities, Geostatistics for Natural Resources Characterization, pp.669-677, 1984.

J. L. Mallet, Three-dimensional graphic display of disconnected bodies, Mathematical Geology, vol.20, issue.8, pp.977-990, 1988.

J. Mallet, Discrete smooth interpolation, ACM Transactions on Graphics, vol.8, issue.2, pp.121-144, 1989.

J. L. Mallet, GOCAD: A Computer Aided Design Program for Geological Applications, pp.123-141, 1992.

J. L. Mallet, Discrete modeling for natural objects, Mathematical Geology, vol.29, issue.2, pp.199-219, 1997.

J. Mallet, Geomodeling, 2002.

J. L. Mallet, Space-time mathematical framework for sedimentary geology, Mathematical geology, vol.36, issue.1, pp.1-32, 2004.

J. Mallet, Elements of Mathematical Sedimentary Geology: The GeoChron Model, 2014.

J. Mallet and A. Tertois, Solid Earth Modeling and Geometric Uncertainties, SPE Annual Technical Conference and Exhibition, 2010.

C. J. Mann, Randomness in Nature. GSA Bulletin, vol.81, issue.1, pp.95-104, 1970.

J. C. Mann, Uncertainty in geology, Computers in geology-25 years of progress, pp.241-254, 1993.

M. Mäntylä, An Introduction to Solid Modeling, vol.401, p.pp, 1988.

D. Marchal, M. Guiraud, T. Rives, and J. Van-den-driessche, Space and time propagation processes of normal faults, Special Publications, vol.147, issue.1, pp.51-70, 1998.

A. Marechal, Kriging Seismic Data in Presence of Faults, Geostatistics for Natural Resources Characterization, pp.271-294, 1984.

G. Mariethoz and J. Caers, Multiple-point geostatistics : stochastic modeling with training images, 2015.

P. Marjoram, J. Molitor, V. Plagnol, and S. Tavaré, Markov chain Monte Carlo without likelihoods, Proceedings of the National Academy of Sciences, vol.100, issue.26, pp.15324-15328, 2003.

G. Martelet, P. Calcagno, C. Gumiaux, C. Truffert, A. Bitri et al., Integrated 3D geophysical and geological modelling of the Hercynian Suture Zone in the Champtoceaux area, Tectonophysics, vol.382, issue.1-2, pp.117-128, 2004.

R. Martin and J. B. Boisvert, Iterative refinement of implicit boundary models for improved geological feature reproduction, Computers & Geosciences, vol.109, pp.1-15, 2017.

G. Matheron, Estimating and Choosing: An Essay on Probability in Practice, 2012.

G. Mavko, T. Mukerji, and . Nov, A rock physics strategy for quantifying uncertainty in common hydrocarbon indicators, Geophysics, vol.63, issue.6, pp.1997-2008, 1998.

G. Mavko, T. Mukerji, and J. Dvorkin, The Rock Physics Handbook, 2nd Edition. Tools for Seismic Analysis of Porous Media, 2009.

M. Maxelon, P. Renard, G. Courrioux, M. Brändli, and N. Mancktelow, A workflow to facilitate three-dimensional geometrical modelling of complex poly-deformed geological units, Computers & Geosciences, vol.35, issue.3, pp.644-658, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00514761

K. J. Mccaffrey, R. R. Jones, R. E. Holdsworth, R. W. Wilson, P. Clegg et al., Unlocking the spatial dimension: digital technologies and the future of geoscience fieldwork, Journal of the Geological Society, vol.162, issue.6, pp.927-938, 2005.

J. Mcgaughey, The Common Earth Model: A Revolution in Mineral Exploration Data Integration, GIS for the Earth Sciences. No. 44 in Special Publication. Geological Association of Canada, pp.567-576, 2006.

J. Mcgaughey, The Common Earth Model: A Revolution in Mineral Exploration Data Integration. GIS for the Earth Sciences: Geological Association of Canada, Special Publication, vol.44, pp.567-576, 2006.

U. T. Mello and M. E. Henderson, Techniques for including large deformations associated with salt and fault motion in basin modeling, Marine and Petroleum Geology, vol.14, issue.5, pp.551-564, 1997.

R. Merland, G. Caumon, B. Levy, and P. Collon-drouaillet, Voronoi Grids Conforming to 3D Structural Features, Computational Geosciences, vol.18, issue.3-4, pp.373-383, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01303811

J. Ming, M. Pan, H. Qu, and Z. Ge, GSIS A 3D geological multi-body modeling system from netty cross-sections with topology, Computers & Geosciences, vol.36, issue.6, pp.756-767, 2010.

N. Moës, A. Gravouil, and T. Belytschko, Non-planar 3D crack growth by the extended finite element and level sets-Part I: Mechanical model: NON-PLANAR 3D CRACK GROWTH-PART I, International Journal for Numerical Methods in Engineering, vol.53, issue.11, pp.2549-2568, 2002.

A. Montanari, What do we mean by 'uncertainty'? The need for a consistent wording about uncertainty assessment in hydrology, Hydrological Processes, vol.21, pp.841-845, 2007.

M. Moorkamp, B. Heincke, M. Jegen, A. W. Roberts, and R. W. Hobbs, A framework for 3-D joint inversion of MT, gravity and seismic refraction data, Geophysical Journal International, vol.184, issue.1, pp.477-493, 2011.

K. Mosegaard and A. Tarantola, Monte Carlo sampling of solutions to inverse problems, Journal of Geophysical Research, vol.100, issue.B7, pp.12-431, 1995.

R. Moyen, J. L. Mallet, T. Frank, B. Leflon, and J. J. Royer, 3D-Parameterization of the 3D Geological Space -The GeoChron Model, 2004.

T. Mukerji, P. Avseth, G. Mavko, I. Takahashi, and E. F. Gonzalez, Statistical rock physics: Combining rock physics, information theory, and geostatistics to reduce uncertainty in seismic reservoir characterization, The Leading Edge, vol.20, issue.3, pp.313-319, 2001.

K. Munthe, L. Holden, P. Mostad, and C. Townsend, Modelling Sub-seismic Fault Patterns using a Marked Point Process, ECMOR IV -4th European Conference on the Mathematics of Oil Recovery, 1994.

G. S. Nearing and H. V. Gupta, Ensembles vs. information theory: supporting science under uncertainty, Frontiers of Earth Science, vol.90, issue.12, pp.1-8, 2018.

G. S. Nearing, Y. Tian, H. V. Gupta, M. P. Clark, K. W. Harrison et al., A philosophical basis for hydrological uncertainty, Hydrological Sciences Journal, vol.61, issue.9, pp.1666-1678, 2016.

B. Nilsson, L. A. Højberg, C. J. Refsgaard, and L. Troldborg, Uncertainty in geological and hydrogeological data, Hydrology and Earth System Sciences, vol.11, issue.5, pp.1551-1561, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00298763

R. A. Olea, Optimal Contour Mapping Using Universal Kriging, Journal of Geophysical Research, vol.79, issue.5, pp.695-702, 1974.

H. Omre, Bayesian kriging-Merging observations and qualified guesses in kriging, Mathematical Geology, vol.19, issue.1, pp.25-39, 1987.

K. Osypov, Y. Yang, A. Fournier, N. Ivanova, R. Bachrach et al., Model-uncertainty quantification in seismic tomography: method and applications, Geophysical Prospecting, vol.61, issue.6, pp.1114-1134, 2013.

E. Pakyuz-charrier, M. Lindsay, V. Ogarko, J. Giraud, and M. W. Jessell, Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization, SE, vol.9, issue.2, pp.385-402, 2018.

J. L. Pallero, J. L. Fernández-martínez, S. Bonvalot, and O. Fudym, Gravity inversion and uncertainty assessment of basement relief via Particle Swarm Optimization, Journal of Applied Geophysics, vol.116, pp.180-191, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01609208

J. L. Pallero, J. L. Fernández-martínez, S. Bonvalot, and O. Fudym, 3D gravity inversion and uncertainty assessment of basement relief via Particle Swarm Optimization, Journal of Applied Geophysics, vol.139, pp.338-350, 2017.

A. Pang, Visualizing Uncertainty in Natural Hazards, Risk Assessment, Modeling and Decision Support, pp.261-294, 2008.

A. T. Pang, C. M. Wittenbrink, and S. K. Lodha, Approaches to uncertainty visualization, The Visual Computer, vol.13, issue.8, pp.370-390, 1997.

H. Park, C. Scheidt, D. Fenwick, A. Boucher, and J. Caers, History matching and uncertainty quantification of facies models with multiple geological interpretations, Comput Geosci, vol.17, issue.4, pp.609-621, 2013.

R. L. Parker, Best Bounds on Density and Detph from Gravity Data. Geophysics, vol.39, issue.5, pp.644-649, 1974.

J. Pellerin, G. Caumon, C. Julio, P. Mejia-herrera, and A. Botella, Elements for measuring the complexity of 3D structural models: Connectivity and geometry, Computers & Geosciences, vol.76, pp.130-140, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01276849

M. Perrin and J. Rainaud, Shared Earth Modeling: Knowledge Driven Solutions for Building and Managing Subsurface 3D Geological Models, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01518015

M. Perrin, B. Zhu, J. Rainaud, and S. Schneider, Knowledge-Driven Applications for Geological Modeling, Journal of Petroleum Science and Engineering, vol.47, issue.1-2, pp.89-104, 2005.

M. Polanyi, Personal knowledge. Routledge & Kegan Paul Ltd, 1958.

D. Polson and A. Curtis, Dynamics of uncertainty in geological interpretation, Journal of the Geological Society, vol.167, issue.1, pp.5-10, 2010.

K. Potter, S. Gerber, and E. W. Anderson, Visualization of Uncertainty without a Mean, IEEE Computer Graphics and Applications, vol.33, issue.1, pp.75-79, 2013.

K. Potter, J. Kniss, R. Riesenfeld, and C. R. Johnson, Visualizing Summary Statistics and Uncertainty, Computer Graphics Forum, vol.29, issue.3, pp.823-832, 2010.

J. Pouliot, K. Bédard, D. Kirkwood, and B. Lachance, Reasoning about geological space: Coupling 3D GeoModels and topological queries as an aid to spatial data selection, Computers & Geosciences, vol.34, issue.5, pp.529-541, 2008.

J. Pouzet, Estimation of a surface with known discontinuities for automatic contouring purposes, Journal of the International Association for Mathematical Geology, vol.12, issue.6, pp.559-575, 1980.

M. Putz, K. Stuwe, M. W. Jessell, and P. Calcagno, Three-dimensional model and late stage warping of the Plattengneis Shear Zone in the Eastern Alps, Tectonophysics, vol.412, issue.1-2, pp.87-103, 2006.

M. J. Pyrcz and C. V. Deutsch, Geostatistical Reservoir Modeling, 2014.

M. J. Pyrcz and V. C. Deutsch, Geostatistical Reservoir Engineering, 2014.

M. J. Pyrcz and C. D. White, Uncertainty in reservoir modeling, Interpretation, vol.3, issue.2, pp.7-19, 2015.

E. C. Rankey and J. C. Mitchell, That's why it's called interpretation: Impact of horizon uncertainty on seismic attribute analysis, The Leading Edge, vol.22, issue.9, pp.820-828, 2003.

C. J. Refsgaard, P. J. Van-der-sluijs, J. Brown, and P. Van-der-keur, A framework for dealing with uncertainty due to model structure error, Advances in Water Resources, vol.29, issue.11, pp.1586-1597, 2006.

J. Renaudeau, F. Maerten, E. Malvesin, and G. Caumon, Implicit structural modeling with local meshless functions, 80th EAGE Conference and Exhibition, 2018.

P. Ringrose and M. Bentley, Reservoir Model Design, 2015.

J. C. Rivenaes, C. Otterlei, E. Zachariassen, C. Dart, and J. Sjøholm, A 3D stochastic model integrating depth, fault and property uncertainty for planning robust wells, Njord Field, offshore Norway. Petroleum Geoscience, vol.11, issue.1, pp.57-65, 2005.

P. Røe, P. Abrahamsen, F. Georgsen, A. R. Syversveen, and O. Lia, , 2010.

P. Røe, F. Georgsen, and P. Abrahamsen, An Uncertainty Model for Fault Shape and Location, Mathematical Geosciences, vol.46, issue.8, pp.957-969, 2014.

G. Rongier, P. Collon-drouaillet, and M. Filipponi, Simulation of 3D karst conduits with an object-distance based method integrating geological knowledge, Geomorphology, vol.217, pp.152-164, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01304938

J. Rossignac, Shape complexity. The Visual Computer, vol.21, pp.985-996, 2005.

P. Rowbotham, P. Kane, and M. Bentley, Bias in geophysical interpretation-the case for multiple deterministic scenarios, The Leading Edge, vol.29, issue.5, pp.590-595, 2010.

A. K. Runge, F. Scherbaum, A. Curtis, and C. Riggelsen, An Interactive Tool for the Elicitation of Subjective Probabilities in Probabilistic Seismic-Hazard Analysis, Bulletin of the Seismological Society of America, vol.103, issue.5, pp.2862-2874, 2013.

L. Salles, M. Ford, P. Joseph, . Le-carlier-de, C. Veslud et al., Migration of a synclinal depocentre from turbidite growth strata: The Annot syncline, vol.182, pp.199-220, 2011.
URL : https://hal.archives-ouvertes.fr/insu-00611446

R. W. Saltus and R. J. Blakely, Unique geologic insights from "non-unique" gravity and magnetic interpretation, GSA Today, vol.21, issue.12, pp.4-11, 2011.

M. Sambridge, T. Bodin, K. Gallagher, and H. Tkalcic, Transdimensional inference in the geosciences, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.371, pp.20110547-20110547, 1984.
URL : https://hal.archives-ouvertes.fr/insu-00776911

P. Samson, O. Dubrule, and N. Euler, Quantifying the Impact of Structural Uncertainties on Gross-Rock Volume Estimates, 1996.

C. Scheidt and J. Caers, Representing Spatial Uncertainty Using Distances and Kernels, Mathematical Geosciences, vol.41, issue.4, pp.397-419, 2008.

E. M. Schetselaar, J. R. Harris, T. Lynds, and E. A. De-kemp, Remote Predictive Mapping 1. Remote Predictive Mapping (RPM): A Strategy for Geological Mapping of Canada's North, Geoscience Canada, vol.34, 2007.

S. Schmidt, C. Plonka, H. J. Götze, and B. Lahmeyer, Hybrid modelling of gravity, gravity gradients and magnetic fields, Geophysical Prospecting, vol.59, issue.6, pp.1046-1051, 2011.

R. Schneeberger, M. De-la-varga, D. Egli, A. Berger, F. Kober et al., Methods and uncertainty estimations of 3-D structural modelling in crystalline rocks: a case study, SE, vol.8, issue.5, pp.987-1002, 2017.

A. Schöniger, T. Wöhling, L. Samaniego, and W. Nowak, Model selection on solid ground: Rigorous comparison of nine ways to evaluate Bayesian model evidence, Water Resour. Res, vol.50, issue.12, pp.9484-9513, 2014.

D. Schweizer, P. Blum, and C. Butscher, Uncertainty assessment in 3-D geological models of increasing complexity, Solid Earth, vol.8, issue.2, pp.515-530, 2017.

T. D. Seers and D. Hodgetts, Probabilistic constraints on structural lineament best fit plane precision obtained through numerical analysis. Balanced Cross-sections and Their Geological Significance, vol.82, pp.37-47, 2016.

D. Seifert, T. O. Sonnenborg, J. C. Refsgaard, A. L. Højberg, and L. Troldborg, Assessment of hydrological model predictive ability given multiple conceptual geological models, Water resources research, issue.6, p.48, 2012.

S. Seipel and N. J. Lim, Color map design for visualization in flood risk assessment, International Journal of Geographical Information Science, vol.31, issue.11, pp.2286-2309, 2017.

E. C. Shannon, A mathematical theory of communication, Bell System Technical Journal, vol.27, 1948.

J. H. Shaw, A. Plesch, C. Tape, M. P. Suess, T. H. Jordan et al., Unified Structural Representation of the southern California crust and upper mantle, Earth and Planetary Science Letters, vol.415, pp.1-15, 2015.

R. Sibson, A brief description of natural neighbour interpolation, pp.21-36, 1981.

E. J. Sides, Geological modelling of mineral deposits for prediction in mining, Geologische Rundschau, vol.86, issue.2, pp.342-353, 1997.

J. B. Silva, W. E. Medeiros, and V. C. Barbosa, Potential-field inversion: Choosing the appropriate technique to solve a geologic problem, Geophysics, vol.66, issue.2, pp.511-520, 2001.

D. S. Sivia, Data Analysis: A Bayesian Tutorial, 2006.

L. Souche, F. Lepage, and G. Iskenova, Volume Based Modeling-Automated Construction of Complex Structural Models, 75th EAGE Conference & Exhibition Incorporating SPE EU-ROPEC, 2013.

D. Spiegelhalter, M. Pearson, and I. Short, Visualizing Uncertainty About the Future, Science, vol.333, issue.6048, pp.1393-1400, 2011.

K. B. Sprague and E. A. De-kemp, Interpretive Tools for 3-D Structural Geological Modelling Part II: Surface Design from Sparse Spatial Data, GeoInformatica, vol.9, issue.1, pp.5-32, 2005.

M. R. Srivastava, Reservoir Characterization With Probability Field Simulation, 1992.

R. M. Srivastava, The Interactive Visualization of Spatial Uncertainty, 1994.

R. M. Srivastava and R. Froidevaux, Probability Field Simulation: A Retrospective, Geostatistics Banff, pp.55-64, 2004.

N. Steno, , 1669.

S. R. Sukumar, D. L. Page, A. F. Koschan, and M. A. Abidi, Towards understanding what makes 3D objects appear simple or complex, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops, pp.1-8, 2008.

S. Suzuki, G. Caumon, and J. Caers, Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization, Comput Geosci, vol.12, issue.1, pp.105-119, 2008.

D. Swanson, A New Geological Volume Computer Modeling System for Reservoir Description, 1988.

M. Talwani, Computation with the help of a digital computer of magnetic anomalies caused by bodies of arbitrary shape, Geophysics, vol.30, issue.5, pp.797-817, 1965.

M. Talwani, J. L. Worzel, and M. Landisman, Rapid gravity computations for two-dimensional bodies with application to the Mendocino submarine fracture zone, Journal of Geophysical Research, vol.64, issue.1, pp.49-59, 1959.

A. Tarantola, Inverse problem theory and methods for model parameter estimation, Society for Industrial Mathematics, 2005.

A. Tarantola, Popper, Bayes and the inverse problem, Nature Physics, vol.2, issue.8, p.492, 2006.

A. Tarantola and B. Valette, Generalized nonlinear inverse problems solved using the least squares criterion, Reviews of Geophysics, vol.20, issue.2, pp.219-232, 1982.

W. M. Telford, L. P. Geldart, and R. E. Sheriff, Applied Geophysics, 2009.

A. L. Tertois and J. L. Mallet, Editing faults within tetrahedral volume models in real time, Special Publications, vol.292, issue.1, pp.89-101, 2007.

B. Thibert, J. P. Gratier, and J. M. Morvan, A direct method for modeling and unfolding developable surfaces and its application to the Ventura Basin (California), Journal of structural geology, vol.27, issue.2, pp.303-316, 2005.

S. T. Thiele, M. W. Jessell, M. Lindsay, V. Ogarko, F. Wellmann et al., The topology of geology 1: Topological analysis, vol.91, pp.27-38, 2016.

S. T. Thiele, M. W. Jessell, M. Lindsay, F. Wellmann, and E. Pakyuz-charrier, The topology of geology 2: Topological uncertainty, Journal of Structural Geology, vol.91, pp.74-87, 2016.

J. P. Thirion and . Sep, Image matching as a diffusion process: an analogy with Maxwell's demons, Medical Image Analysis, vol.2, issue.3, pp.243-260, 1998.

P. Thore, Uncertainty in seismic inversion: What really matters?, The Leading Edge, vol.34, issue.9, pp.1000-1004, 2015.

P. Thore, A. Shtuka, M. Lecour, T. Ait-ettajer, and R. Cognot, Structural uncertainties: Determination, management, and applications, Geophysics, vol.67, issue.3, pp.840-852, 2002.

A. N. Tikhonov, On the solution of ill-posed problems and the method of regularization, Dokl. Akad. Nauk SSSR, vol.151, issue.3, pp.501-504, 1963.

L. Troldborg, C. J. Refsgaard, H. K. Jensen, and P. Engesgaard, The importance of alternative conceptual models for simulation of concentrations in a multi-aquifer system, Hydrogeology Journal, vol.15, issue.5, pp.843-860, 2007.

A. Tversky and D. Kahneman, Judgment under Uncertainty: Heuristics and Biases, Science, vol.185, issue.4157, pp.1124-1131, 1974.

F. J. Van-der-wel, L. C. Van-der-gaag, and B. G. Gorte, Visual exploration of uncertainty in remote-sensing classification, Computers and Geosciences, vol.24, issue.4, pp.335-343, 1998.

T. Viard, G. Caumon, and B. Levy, Adjacent versus coincident representations of geospatial uncertainty: Which promote better decisions?, Computers & Geosciences, vol.37, issue.4, pp.511-520, 2011.
URL : https://hal.archives-ouvertes.fr/insu-00593625

V. H. Visschers, R. M. Meertens, W. W. Passchier, and N. N. De-vries, Probability Information in Risk Communication: A Review of the Research Literature, Risk Analysis, vol.29, issue.2, pp.267-287, 2009.

S. A. Vollgger and A. R. Cruden, Mapping folds and fractures in basement and cover rocks using UAV photogrammetry, Cape Liptrap and Cape Paterson, Journal of Structural Geology, vol.85, pp.168-187, 2016.

R. F. Walters, Contouring by Machine: A User's Guide, AAPG Bulletin, vol.53, 1969.

H. Wang, F. Wellmann, Z. Li, X. Wang, and R. Y. Liang, A Segmentation Approach for Stochastic Geological Modeling Using Hidden Markov Random Fields, Mathematical Geosciences, vol.49, issue.2, pp.145-177, 2017.

X. Wang and R. O. Hansen, Inversion for magnetic anomalies of arbitrary three-dimensional bodies, GEOPHYSICS, vol.55, issue.10, pp.1321-1326, 1990.

D. Watson, The natural neighbor series manuals and source codes, Computers & Geosciences, vol.25, issue.4, pp.463-466, 1999.

H. Wehr, S. Chevrot, G. Courrioux, and A. Guillen, A three-dimensional model of the Pyrenees and their foreland basins from geological and gravimetric data, pp.16-32, 2018.

W. Weinzierl, L. Schulte, and V. Aarre, Volumetric impact of fault perturbation in the first Fresnel zone, Interpretation, vol.4, issue.4, pp.419-426, 2016.

F. Wellmann, Information Theory for Correlation Analysis and Estimation of Uncertainty Reduction in Maps and Models, Entropy, vol.15, issue.4, pp.1464-1485, 2013.

F. Wellmann, M. De-la-varga, R. E. Murdie, K. Gessner, and M. W. Jessell, Uncertainty estimation for a geological model of the Sandstone greenstone belt, Western Australia -insights from integrated geological and geophysical inversion in a Bayesian inference framework, Geological Society, p.453, 2017.

F. Wellmann, F. G. Horowitz, E. Schill, and K. Regenauer-lieb, Towards incorporating uncertainty of structural data in 3D geological inversion, Tectonophysics, vol.490, issue.3-4, pp.141-151, 2010.

F. Wellmann, F. G. Horowitz, E. Schill, and K. Regenauer-lieb, Towards incorporating uncertainty of structural data in 3D geological inversion, Tectonophysics, vol.490, issue.3-4, pp.141-151, 2010.

F. Wellmann and K. Regenauer-lieb, Uncertainties have a meaning: Information entropy as a quality measure for 3-D geological models, Tectonophysics, vol.526, pp.207-216, 2012.

J. F. Wellmann, S. T. Thiele, M. D. Lindsay, and M. W. Jessell, Pynoddy 1.0: An experimental platform for automated 3-D kinematic and potential field modelling, Geoscientific Model Development, vol.9, issue.3, pp.1019-1035, 2016.

C. Wijns, F. Boschetti, and L. Moresi, Inverse modelling in geology by interactive evolutionary computation. Balanced Cross-sections and Their Geological Significance, vol.25, pp.1615-1621, 2003.

C. Wijns and P. Kowalczyk, Interactive geophysical inversion using qualitative geological constraints, Exploration Geophysics, vol.38, issue.3, p.208, 2007.

D. Wildenschild, C. M. Vaz, M. L. Rivers, D. Rikard, and B. S. Christensen, Using X-ray computed tomography in hydrology: systems, resolutions, and limitations, Journal of Hydrology, vol.267, issue.3-4, pp.285-297, 2002.

I. J. Won and M. Bevis, Computing the gravitational and magnetic anomalies due to a polygon: Algorithms and Fortran subroutines, Geophysics, vol.52, issue.2, pp.232-238, 1987.

R. Wood and A. Curtis, Geological prior information and its applications to geoscientific problems, Special Publications, vol.239, issue.1, pp.1-14, 2004.

X. Wu, Building 3D subsurface models conforming to seismic structural and stratigraphic features, GEOPHYSICS, vol.82, issue.3, pp.21-30, 2017.

X. Wu and G. Caumon, Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms, GEOPHYSICS, vol.82, issue.1, pp.13-20, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01401431

X. Wu and D. Hale, Horizon volumes with interpreted constraints, GEOPHYSICS, vol.80, issue.2, pp.21-33, 2015.

O. Yilmaz, Seismic data analysis: Processing, inversion, and interpretation of seismic data, 2001.

A. L. Zadeh, Fuzzy sets*. Information and control, vol.8, issue.3, pp.338-353, 1965.

H. Zeng, M. M. Backus, K. T. Barrow, and N. Tyler, Stratal slicing; Part 1, Realistic 3-D seismic model, Geophysics, vol.63, issue.2, pp.502-513, 1998.

Y. Zhang, D. Zhong, B. Wu, T. Guan, P. Yue et al., 3D Parametric Modeling of Complex Geological Structures for Geotechnical Engineering of Dam Foundation Based on T-Splines: 3D parametric geological modeling based on T-splines, Computer-Aided Civil and Infrastructure Engineering, vol.33, issue.7, pp.545-570, 2018.

J. Zhao, S. Chen, R. Zuo, and E. J. Carranza, Mapping complexity of spatial distribution of faults using fractal and multifractal models: vectoring towards exploration targets, Computers and Geosciences, vol.37, issue.12, pp.1958-1966, 2011.

P. Zheglova, P. G. Lelièvre, and C. G. Farquharson, Multiple level-set joint inversion of traveltime and gravity data with application to ore delineation: A synthetic study, Geophysics, vol.83, issue.1, pp.13-30, 2018.

P. Zheglova, P. G. Lelièvre, and C. G. Farquharson, Multiple level-set joint inversion of traveltime and gravity data with application to ore delineation: A synthetic studyMultiple level-set joint inversion, Geophysics, vol.83, issue.1, pp.13-30, 2018.

H. Zhu, S. Li, S. Fomel, G. Stadler, and O. Ghattas, A Bayesian approach to estimate uncertainty for full-waveform inversion using a priori information from depth migration, Geophysics, vol.81, issue.5, pp.307-323, 2016.

L. Zhu, C. Zhang, M. Li, X. Pan, and J. Sun, Building 3D solid models of sedimentary stratigraphic systems from borehole data: An automatic method and case studies, Engineering Geology, vol.127, pp.1-13, 2012.

J. Ziesch, C. M. Aruffo, D. C. Tanner, T. Beilecke, T. Dance et al., Geological Structure and Kinematics of Normal Faults in the Otway Basin, 2015.

H. J. Zimmermann, An application-oriented view of modeling uncertainty, European Journal of Operational Research, vol.122, issue.2, pp.190-198, 2000.