Controlling the gas/oil ratio (GOR) is important in safeguarding ensured recoverable reserves and optimizing production in oil-rim reservoirs or fields subjected to water-alternating-gas injection schemes. This paper presents the results of an artificial intelligence (AI)-based high-GOR well-control (iGOR) solution, which was piloted in an oil-rim reservoir. The technology aims to stabilize and optimize production from wells experiencing gas breakthrough and high GOR using differential pressure measurements and an automated surface choke for continuous well operations.
Introduction
The aim of the pilot project was to develop and validate a digital process technology for real-time GOR control, targeting wells affected by gas coning or high-GOR issues. This project served as proof of concept, with a plan for full-field deployment in the next phase across all candidate oil wells.
The fundamental technology behind iGOR uses pressure-drop measurements across a restriction to control flow streams, which is not a new concept.
