Generative Modeling and Inverse Mapping for Reservoir Navigation with Shallow-to-Ultra-Deep LWD Electromagnetics

Summary We have tested our pilot 3D generative modeling and hybrid physics + AI/ML mapping applied to oil & gas reservoir navigation. Initially, we developed the capability to statistically mimic a logging survey and analyze the computed electromagnetic tool responses. Then, under real-time and pre-/post-well memory workflow conditions, probabilistic inverse mapping has been investigated aiming at optimal placement of the new wells. We wrap-up our forward and inverse applications into deployable soft notebooks and power them with CPU/GPU parallel computing and 3D scene visualization. The use of supercomputing-on-chip performance features, web-based GUIs and OS-agnostic environments makes these soft notebooks very suitable for fast-fail-fast-learn interactions not only with internal subject-matter experts, but also with early adopters among the partners and customers in the industry.