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Fugitive methane emissions from the oil and gas sector are typically addressed through periodic leak detection and repair surveys. These surveys, conducted manually using handheld leak detection technologies, are time-consuming. To improve the speed and cost-effectiveness of leak detection, technology developers are introducing innovative solutions using mobile platforms, close-range portable systems, and permanent installations. Many of these new approaches promise faster, cheaper, or more effective leak detection than conventional methods. However, ensuring mitigation targets are achieved requires demonstrating that alternative approaches are at least as effective in reducing emissions as current approaches – a concept known as emissions reduction equivalence. Here, we propose a five-stage framework for demonstrating equivalence that combines controlled testing, simulation modeling, and field trials. The framework was developed in consultation with operators, regulators, academics, solution providers, consultants, and non-profit groups from Canada and the U.S. We present the equivalence framework and discuss challenges to implementation.
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T. A. Fox
University of Zurich
Arvind Ravikumar
The University of Texas at Austin
Chris H. Hugenholtz
University of Calgary
Elementa Science of the Anthropocene
SHILAP Revista de lepidopterología
Colorado State University
Carleton College
Environmental Defense Fund
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Fox et al. (Tue,) studied this question.
synapsesocial.com/papers/69d7e8013b601d7be3ae33bc — DOI: https://doi.org/10.1525/elementa.369