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