13 Feb 2023
 | 13 Feb 2023

Integration of automatic implicit geological modelling in deterministic geophysical inversion

Jérémie Giraud, Guillaume Caumon, Lachlan Grose, Vitaliy Ogarko, and Paul Cupillard

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.

Jérémie Giraud et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-129', Anonymous Referee #1, 06 Mar 2023
  • RC2: 'Comment on egusphere-2023-129', Anonymous Referee #2, 27 Mar 2023
  • RC3: 'Comment on egusphere-2023-129', Anonymous Referee #3, 29 Mar 2023

Jérémie Giraud et al.

Jérémie Giraud et al.


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Short summary
We present and test an algorithm that integrates geological modelling into geophysical modelling. This is motivated by the need to model the earth using all available data and to reconcile the different types of measurements. We introduce the methodology in detail and test our algorithm using two idealised scenarios. Results suggest that the method we propose is effectively capable of improving the models recovered by geophysical inversion and may be applied in real world scenarios.