Prediction of decline in shale gas well production using stable carbon isotope technique

被引:0
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作者
Shengxian Zhao
Shujuan Kang
Majia Zheng
Shuangfang Lu
Yunfeng Yang
Huanxu Zhang
Yongyang Liu
Ziqiang Xia
Chenglin Zhang
Haoran Hu
Di Zhu
机构
[1] China University of Petroleum (East China),Key Laboratory of Deep Oil and Gas
[2] China University of Petroleum (East China),School of Geosciences
[3] Chinese Academy of Sciences,Key Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics
[4] Shale Gas Institute of PetroChina Southwest Oil & Gasfield Company,undefined
[5] Suzhou Grand Energy Technology Ltd.,undefined
来源
关键词
shale gas; production decline; Longmaxi formation; carbon isotope;
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学科分类号
摘要
Prediction of shale gas production is a challenging task because of the complex fracture-pore networks and gas flow mechanisms in shale reservoirs. Empirical methods, which are used in the industry to forecast the future production of shale gas, have not been assessed sufficiently to warrant high confidence in their results. Methane carbon isotopic signals have been used for producing gas wells, and are controlled by physical properties and physics-controlling production; they serve as a unique indicator of the gas production status. Here, a workable process, which is combined with a gas isotope interpretation tool (also known as a numerical simulator), has been implemented in Longmaxi shale gas wells to predict the production decline curves. The numerical simulator, which takes into account a convection-diffusion-adsorption model for the matrix and a convection model for fractures in 13CH4 and 12CH4 isotopologues, was used to stabilize the carbon isotope variation in the produced gas to elucidate gas recovery. Combined with the production rates of the four developing wells, the total reserves ranged from 1.72 × 108 to 2.02 × 108 m3, which were used to constrain the trend of two-segment production decline curves that exhibited a transition from a hyperbolic equation to an exponential one within 0.82–0.89 year. Two-segment production decline curves were used to forecast future production and estimate ultimate recovery.
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页码:849 / 859
页数:10
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