Geosteering under geological uncertainty

This work presents a novel, ensemble-based workflow for well placement under geological uncertainty. The goal is to make geosteering decisions that adapt to incoming data while accounting for multiple possible geological scenarios within a model ensemble. Traditional geosteering uses a single “base case” geomodel that engineers update during drilling. That approach assumes one model can represent reality, even though geological uncertainty always exists. We show that by using an ensemble based approach to geosteering we can improve the expected value of the well if our ensemble adequately describes the uncertainty.