Uncertainty reduction through geologically conditioned petrophysical constraints in joint inversion

• DOI: 10.1190/geo2016-0615.1
• Publication Date: 2017-08-02T06:42:30Z
• Authors: Jérémie Giraud; Evren Pakyuz-Char...; Mark Jessell; Mark Lindsay; Roland Martin; Vitaliy Ogarko
• Keywords: Petrophysics

We have developed a joint geophysical inversion workflow that aims to improve subsurface imaging and decrease uncertainty by integrating petrophysical constraints geologic data. In this framework, probabilistic modeling is used as source of information condition the spatially derive starting models. The then uses measurements constrain values retrieved inversion. different sources are integrated into least-squares framework capture integrate related geophysical, petrophysical, This allows us quantify posterior state knowledge calculate statistical indicators. To test workflow, using field data, we generated set models, which model. synthetic case study, found integration in could reduce imaging. particular, use retrieves sharper boundaries better reproduces statistics observed measurements. permits more accurate retrieval model geometry, it constrains solution while still satisfying derived from analysis indicators at each step indicates (1) methodology effective when applied complex geology (2) prior petrophysics significantly improves results decreasing uncertainty. Finally, conditioned also that, for example, best obtained modeling.