Publications

AI-Driven Computational Fluid Dynamic Simulations and Experiments to Predict Methane Emission: Applications to Idle and Abandoned Wells

Abstract

Emission from idle and abandoned wells can pose significant safety risks because of methane leakage. Many of such wells in the United States are in residential and commercial areas, with some locations unknown due to the drilling before the establishment of oil and gas regulations. Each year, idle wells add to the number of abandoned wells, potentially developing integrity issues over time. These issues may arise from compromised barriers such as cement cracks, cement-formation bond cracks, and cement-casing bond cracks.
Given the sheer number of idle wells and the flammable nature of methane, there is a need for real-time monitoring solutions with minimal electrical-mechanical components. Our proposed canopy system integrates sensors and communication kits with Internet of Things (IoT) capabilities, enabling operators to remotely monitor methane leaks in real-time. Artificial intelligence …

Date
2025
Authors
Nima Daneshvarjejad, Yash Pragnesh Gandhi, Rajiv Kalia, Young Cho, Donald Paul, Iraj Ershaghi
Conference
SPE Western Regional Meeting
Pages
D031S005R004
Publisher
SPE