Register      Login
ASEG Extended Abstracts ASEG Extended Abstracts Society
ASEG Extended Abstracts
RESEARCH ARTICLE

Geophysical Joint Inversion Using Statistical Petrophysical Constraints and Prior Information

Jérémie Giraud, Mark Jessell, Mark Lindsay, Roland Martin, Evren Pakyuz-Charrier and Vitaliy Ogarko

ASEG Extended Abstracts 2016(1) 1 - 6
Published: 2016

Abstract

We introduce and test a workflow that integrates petrophysical constraints and geological data in joint geophysical inversion in order to decrease the uncertainty of the results. This workflow uses statistical petrophysical properties to constrain the values retrieved by the geophysical inversion and geological prior information to decrease the effect of non-uniqueness. We integrate the different sources of information in a Bayesian framework, which takes into account the state of information. This permits us to quantify the posterior state of knowledge, the reduction of the uncertainty and to calculate the influence of prior information using quality indicators based on fixed-point statistics. This workflow was first tested using simple synthetic datasets to validate the method and assess the robustness of the workflow. As a result, the use of petrophysical constraints permits us to retrieve sharper boundaries, while prior structural information from geology permits to retrieve the geometry more accurately. Overall, the integration of the different constraints provides a model, with reduced uncertainties and better resolved parameters.

https://doi.org/10.1071/ASEG2016ab294

© ASEG 2016

PDF (324 KB) Export Citation

Share

Share on Facebook Share on Twitter Share on LinkedIn Share via Email

View Dimensions