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<p>As a core part of the refined description of multilayer gas reservoirs, it is difficult for existing methods to quantify the dynamic effects of fluid flow or interference due to interlayer pressure differences in multilayer gas reservoir. In this paper, we propose a new production splitting method based on the principle of superposition of potentials combined with the particle swarm optimization (PSO) algorithm, which aims to better fit the dynamic nature of reservoir fluid flow. The study firstly constructs a three-dimensional spatio-temporal effect fluid potential mathematical model based on the principle of superposition of potentials, and proposes a new method of gas well production splitting based on the principle of superposition of potentials by coupling the potential field calculation of each layer. The results show that the model constructed based on the superposition of potentials has high accuracy, overcomes the discontinuity of the traditional splitting method and the problem of quantifying the interlayer interference, and can dynamically and continuously realize the accurate splitting of the production of each sand body in multilayered collocated gas reservoirs; based on the RFT layered pressure measurement data, the pressure prediction model constructed by ridge regression computes the pressure of the sand body at different times more accurately, and the correlation with the dynamic reserves is good. By taking Sebei No.2 gas field 2–1 layer group well Se 5–1-2 as an example for application analysis, it is found that the relative error between the splitting coefficient and the gas production profile data is basically less than 10%, and the error of individual low-production layers is slightly larger; the correlation analysis of dynamic reserves and pressure coefficient of four sands shows that the error of the dynamic reserves calculated based on the method is only 3.82% from the results of the flow pressure calculations. Compared with 106 static pressure test results, the error is less than 10%.</p>

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A new method for gas well production splitting based on the principle of superposition of potentials

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月31日

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  • Huijie Yang,
  • Zhonglin Wen,
  • Yiwei Xiang,
  • Chenggang Deng,
  • Hui Xu,
  • Sihan Qian,
  • Wei Wang,
  • Weibo Jin,
  • Feifan Li

摘要

As a core part of the refined description of multilayer gas reservoirs, it is difficult for existing methods to quantify the dynamic effects of fluid flow or interference due to interlayer pressure differences in multilayer gas reservoir. In this paper, we propose a new production splitting method based on the principle of superposition of potentials combined with the particle swarm optimization (PSO) algorithm, which aims to better fit the dynamic nature of reservoir fluid flow. The study firstly constructs a three-dimensional spatio-temporal effect fluid potential mathematical model based on the principle of superposition of potentials, and proposes a new method of gas well production splitting based on the principle of superposition of potentials by coupling the potential field calculation of each layer. The results show that the model constructed based on the superposition of potentials has high accuracy, overcomes the discontinuity of the traditional splitting method and the problem of quantifying the interlayer interference, and can dynamically and continuously realize the accurate splitting of the production of each sand body in multilayered collocated gas reservoirs; based on the RFT layered pressure measurement data, the pressure prediction model constructed by ridge regression computes the pressure of the sand body at different times more accurately, and the correlation with the dynamic reserves is good. By taking Sebei No.2 gas field 2–1 layer group well Se 5–1-2 as an example for application analysis, it is found that the relative error between the splitting coefficient and the gas production profile data is basically less than 10%, and the error of individual low-production layers is slightly larger; the correlation analysis of dynamic reserves and pressure coefficient of four sands shows that the error of the dynamic reserves calculated based on the method is only 3.82% from the results of the flow pressure calculations. Compared with 106 static pressure test results, the error is less than 10%.