Conditionnement de la modélisation stochastique 3D des réseaux de failles

Abstract : Faults are discontinuities in rock volumes that affect mechanical properties and flow paths of hydrocarbon reservoirs. However, subsurface modeling remains limited by the incompleteness and resolution of available data, so that uncertainties remain on the geometry and the connectivity of fault networks. To assess fault network uncertainties, several stochastic approaches have been introduced in the literature. These methods generate a set of possible fault models conditioned by reservoir data. In this thesis, we investigate two main conditioning strategies of stochastic fault modeling methods. The first one takes into account the observations of the fault absence, for instance, as indicated by seismic reflector continuity. To do this, the reservoir volume is divided into two sub-volumes delimited by a 3D envelope surface: (1) a volume where no faults occur, and (2) a potentially-faulted volume. Then, faults are simulated and optimized in such a way as to be entirely confined to the potentially-faulted volume. The second presented strategy deals with the uncertainties related to the seismic interpretation of fault segmentation. It generates a set of fine-scale segmented faults from a larger-scale and continuous interpretation of the fault. The method uses the orientation variations of the continuous fault to subdivide it into several possible fault segments. The effects of the different segmentation configurations on flow simulations are studied
Document type :
Theses
Complete list of metadatas

Cited literature [199 references]  Display  Hide  Download

https://hal.univ-lorraine.fr/tel-01754539
Contributor : Thèses Ul <>
Submitted on : Friday, March 30, 2018 - 9:52:29 AM
Last modification on : Friday, April 5, 2019 - 8:21:42 PM

File

DDOC_T_2015_0254_JULIO.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : tel-01754539, version 1

Citation

Charline Julio. Conditionnement de la modélisation stochastique 3D des réseaux de failles. Sciences de la Terre. Université de Lorraine, 2015. Français. ⟨NNT : 2015LORR0254⟩. ⟨tel-01754539⟩

Share

Metrics

Record views

46

Files downloads

47