GAMA-based Methane Leak Detection and Repair Simulator

Objective

The objective is to enhance the realism and transparency of the simulation by refining agent characteristics, expanding agent types, and providing clearer insights into LDAR strategies.

Description

This project leverages the GIS Agent-based Modeling Architecture (GAMA) platform to improve the realism and transparency of methane Leak Detection and Repair (LDAR) simulations in the oil and gas industry. By refining agent characteristics, such as equipment aging and inspector proficiency, expanding agent types to represent various equipment and personnel roles, and incorporating real-world conditions like unexpected equipment failures, the simulation offers a more comprehensive perspective on LDAR strategies.

Project Details

Collaborator(s): Jin-Ya Wang

Highlights:

• Presented the draft simulator at OGC’s 129th & 130th Member Meeting (virtually)

Date: 2023-2025