A Sequential Decision Framework for Geosteering: Trajectory Selection Using Reinforcement Learning and Multi-Objective Optimization
Abstract Geosteering trajectory decisions are made sequentially as new logging-while-drilling data arrives, and each decision affects both the immediate trajectory and the information available for every decision that follows. Current practice handles this through manual, human-in-the-loop reinterpretation of a static...