Predicting formation pore pressure in real time based on mud gas data

Abstract

A system for estimating a pore pressure value associated with a depth of a well subject to drilling operations may include a data repository for storing integrated mud gas and pore pressure data associated with one or more existing wells. The data repository may also store a machine learning (ML) engine. The system may also include one or more hardware processors configured to train a ML model using the ML engine and the integrated mud gas and pore pressure data, to estimate, during the drilling operations, the pore pressure value of a formation zone, at the depth of the well, using the trained ML model and mud gas data associated with a depth value that identifies the depth of the well subject to the drilling operations, and to update a drilling program for a production system based on the estimated pore pressure value.