A case study is presented in which a storage operator in the northeast US used easily obtainable data to: (1) accurately quantify both existing and potential deliverability of the reservoir; (2) identify bottlenecks in downhole and surface facilities that reduce maximum deliverability; (3) resolve inventory issues by determining the effective reservoir pore volume; (4) demonstrate the feasibility of turning the working gas volume multiple times per season; and (5) determine the optimum horsepower requirements to turn the working gas volume multiple times per season. All of this was accomplished by analysis of inexpensive and easily collected data.

The general optimization process used is outlined and discussed, as well as the limitations of the approach. The value of this optimization process is demonstrated by presenting field case histories that review the results of the optimization process and the implications to the storage operator.

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