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Abstract

DOI: 10.1306/09221615106

The gas isotope interpretation tool: A novel method to better predict production decline

Li Gao,1 Sheng Wu,2 Andrei Deev,3 Robert Olson,4 Fausto Mosca,5 Shuichang Zhang,6 Yunyan Ni,7 Qi Qu,8 Randy LaFollette,9 Guanyi Chen,10 and Yongchun Tang11

1Power Environmental Energy Research Institute, 738 Arrow Grand Cir, Covina, California 91722; [email protected]
2Power Environmental Energy Research Institute, 738 Arrow Grand Cir, Covina, California 91722; [email protected]
3Power Environmental Energy Research Institute, 738 Arrow Grand Cir, Covina, California 91722; [email protected]
4Devon Energy, 333 W. Sheridan, Oklahoma City, Oklahoma 73102-5015; present address: Independent Consultant, 13502 Indigo Lake Court, Houston, Texas 77077; [email protected]
5Devon Energy, 333 W. Sheridan, Oklahoma City, Oklahoma 73102-5015; present address: Murphy Exploration & Production Company, Houston, Texas 77024; [email protected]
6Research Institute of Petroleum Exploration and Development, PetroChina Central Laboratory of Geological Sciences, P.O. Box 910, No. 20 Xueyuan Road, Beijing 100083, China; [email protected]
7Research Institute of Petroleum Exploration and Development, PetroChina Central Laboratory of Geological Sciences, P.O. Box 910, No. 20 Xueyuan Road, Beijing 100083, China; [email protected]
8BJ Services, 11211 FM 2920, Tomball, Texas 77375; present address: Solvay, 8 Cedar Brook Dr., Cranbury, New Jersey 08512; [email protected]
9BJ Services, 11211 FM 2920, Tomball, Texas 77375; present address: Independent Consultant, 14451 Oriole Lane, Conroe, Texas 77306; [email protected]
10School of Environment Science and Engineering, Tianjin University, Tianjin 300072, China; present address: State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China; [email protected]
11Power Environmental Energy Research Institute, 738 Arrow Grand Cir, Covina, California 91722; [email protected]

ABSTRACT

Production decline prediction is important to understand the performance and life span of oil and gas wells. The most common prediction method is decline curve fitting based on available production rate data. Such data are fit with different equations that extrapolate to future time. However, the parameters are commonly poorly constrained, especially when the production rate data are limited. In this study, we establish a novel gas isotope interpretation tool to better predict the resource quantity and life span of producing gas wells. This tool is based on the evolution of methane carbon isotope ratios (δ13C1) caused by different gas-releasing processes during production. It requires (1) real-time methane carbon isotope ratio data, (2) continuous gas production rate data for a certain period of time, and (3) basic geological and engineering conditions. We successfully applied the production decline prediction tool to a producing shale gas well in the Barnett Shale. We obtained real-time δ13C1 data for approximately 1 yr using our proprietary, field-deployable gas chromatography–infrared isotope ratio analyzer. The prediction in this well from the isotope method showed a total reserve of up to 7.34–7.75 BCF (2.07–2.19 × 108 m3), which was used to constrain the production decline trend of the study well. The measured production rate data were first fit using the Arps equation, which then joined to an exponential decline curve smoothly at approximately 10 yr, such that the cumulative production calculation from integration of the product rate curve equaled to the total reserve predicted by the isotope method. The novel production decline prediction method thus provided important constraint on the future well production and expected ultimate recoverable reserves.

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