Project Plan:

Project Objective: The project will extend and formalize prior results and convert results into specific guidance, by method, on how to maximize coverage, minimize cost, and maintain effectiveness of leak surveys for gas pipelines. 

The combined CSU/SMU team proposes to directly address PHMSA’s interest in extending and formalizing advanced leak detection methods for gas pipelines. Using extended testing at the Methane Emissions Technology Evaluation Center (METEC), targeted algorithm development, and field trials, the team will develop field deployment protocols for 3-5 advanced methods for pipeline leak detection selected in conjunction with our Technical Advisory Panel (TAP). Results  can then be used by solution providers, operators, and regulators to guide the selection of leak detection methods for pipeline systems and enhance the advancement of available methods. 

The project will be structured as around multi-week experimental sessions at METEC’s existing and newly developed testbeds (see Facilities and Staff, below). Long duration test cycles maximize the range of environmental conditions encountered while allowing sufficient time for leaks to fully stabilize. During experimental cycles, results will be compiled, analyzed, documented, and reviewed with the TAP. In our experience, experimental windows of 8-12 weeks are required: Set up the leak, test as weather conditions change, step up leak rate, stabilize, repeat testing. Including preparation and data analysis, both cycles are scheduled over a 9-month period, including setup, testing, and teardown. All methods can be deployed on each cycle, although weather conditions may ‘lock out’ certain methods on certain days. To maximize the range of weather conditions, the experimental windows will be timed for mid-spring or mid-fall (shoulder seasons) when the weather in Fort Collins, Colorado is highly variable – from cold/snow to hot/sunny, with highly variable winds diurnally. During analysis, the team will also prototype analysis tools, including software algorithms, if needed. 

Overlapped with cycle 2, the project will deploy protocols and results developed in cycle 1 in the field to understand how well the protocols translate to field conditions. The study team will transfer knowledge to field personnel and then join deployments to assess how well the methods work. Protocols will be accompanied by analysis tools to assist technicians.