Integration of automatic implicit geological modelling in deterministic geophysical inversion - Archive ouverte HAL Access content directly
Preprints, Working Papers, ... Year : 2023

Integration of automatic implicit geological modelling in deterministic geophysical inversion

Jérémie Giraud
  • Function : Author
Vitaliy Ogarko
Paul Cupillard

Abstract

Abstract. We propose and evaluate methods for the integration of automatic implicit geological modelling into the geophysical (potential field) inversion process. The objective is to enforce structural geological realism in level-set inversion, which inverts for the location of boundaries between rock units. We propose two approaches. In the first one, a geological correction term is applied at each iteration of the inversion to reduce geological inconsistencies. This is achieved by integrating an automatic implicit geological modelling scheme within the geophysical inversion process. In the second approach, we use automatic geological modelling to derive a dynamic prior model term at each iteration of the inversion to limit departures from geologically feasible outcomes. We introduce the main theoretical aspects of the inversion algorithm and perform the proof-of-concept using two synthetic studies. The analysis of results using indicators measuring geophysical, petrophysical and structural geological misfits demonstrates that our approach effectively steers inversion towards geologically consistent models and reduces the risk of geologically unrealistic outcomes. Results suggest that geological correction may be effectively applied to pre-existing models to increase their geological realism and that it can also be used to explore geophysically equivalent models.

Dates and versions

hal-03995582 , version 1 (18-02-2023)

Identifiers

Cite

Jérémie Giraud, Guillaume Caumon, Lachlan Grose, Vitaliy Ogarko, Paul Cupillard. Integration of automatic implicit geological modelling in deterministic geophysical inversion. 2023. ⟨hal-03995582⟩
0 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More