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This work presents a procedure that can quickly identify and isolate methaneemission sources leading to expedient remediation. Minimizing the time requiredto identify a leak and the subsequent time to dispatch repair crews cansignificantly reduce the amount of methane released into the atmosphere. Theprocedure developed utilizes permanently installed low-cost methane sensors atan oilfield facility to continuously monitor leaked gas concentration abovebackground levels. The methods developed for optimal sensor placement and leakinversion in consideration of predefined subspaces and restricted zones arepresented. In particular, subspaces represent regions comprising one or moreequipment items that may leak, and restricted zones define regions in which asensor may not be placed due to site restrictions by design. Thus, subspacesconstrain the inversion problem to specified locales, while restricted zonesconstrain sensor placement to feasible zones. The development of synthetic windmodels, and those based on historical data, are also presented as a means toaccommodate optimal sensor placement under wind uncertainty. The wind modelsserve as realizations for planning purposes, with the aim of maximizing themean coverage measure for a given number of sensors. Once the optimal design isestablished, continuous real-time monitoring permits localization andquantification of a methane leak source. The necessary methods, mathematicalformulation and demonstrative test results are presented.

Subspace-Constrained Continuous Methane Leak Monitoring and Optimal Sensor Placement