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Feasibility Analysis and Optimal Design of Acidizing of Coalbed Methane Wells

机译:煤层气酸盐酸化的可行性分析与优化设计

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摘要

Plugging is a prominent reason for production reduction in coalbed methane (CBM) wells. In order to solve this problem, authors conducted the feasibility analysis and optimal design of acidizing of CBM wells to remove the plugging in Hancheng block (H block) China. First, X-ray diffraction analysis shows that the plugging contains acidsoluble minerals and the field case indicates that acidizing effect is positively correlated with the content of acid-soluble minerals. Inspired by this, authors analyze determining factors of the content of acid-soluble minerals. Well logging parameters (DEN, AC, GR) are selected to establish a neural network model to predict the content of acid-soluble minerals. Furthermore, a feasibility criterion of acidizing of CBM wells is proposed. Then, a forward model and an inversion algorithm are proposed to diagnose the plugging. The multisolution problem of parameters inversion is solved by the Gauss-Marquardt (G-M) algorithm based on the stochastic initial value and maximum probability. Combining this method with the current numerical model of acidizing, authors present an optimal design in order to optimize the volume and injection rate of the acid. Meanwhile, by experimental study, authors propose a new acid formulation. Finally, results have been applied in the field to confirm the feasibility of the acidizing. It turns out that acidizing is an effective stimulation technology for some specific CBM wells, and the feasibility analysis and the optimal design can improve the effect of acidizing of CBM wells.
机译:堵塞是煤层气(CBM)孔的降低的突出原因。为了解决这个问题,作者进行了康复井酸化的可行性分析和最优设计,以消除汉城块(H块)中国的堵塞。首先,X射线衍射分析表明,堵塞含有酸性矿物质,壳体壳体表明酸化效果与酸溶解矿物的含量正相关。由此启发,作者分析了酸溶性矿物质含量的确定因素。选择井测井参数(DEN,AC,GR)以建立神经网络模型以预测酸溶性矿物质的含量。此外,提出了CBM孔的酸化的可行性标准。然后,提出了前向模型和反转算法来诊断插入。参数反转的多突变问题由基于随机初始值和最大概率的高斯 - Marquardt(G-M)算法解决。将该方法与当前酸化的数值模型相结合,作者提出了最佳设计,以优化酸的体积和注射速率。同时,通过实验研究,作者提出了一种新的酸配方。最后,结果已应用于现场以确认酸化的可行性。事实证明,酸化是一些特定CBM孔的有效刺激技术,可行性分析和最佳设计可以提高CBM孔酸化的影响。

著录项

  • 来源
    《Journal of Energy Resources Technology》 |2019年第8期|082906.1-082906.12|共12页
  • 作者单位

    Southwest Petr Univ Slate Key Lab Oil & Gas Reservoir Geol & Exploita Chengdu 610500 Sichuan Peoples R China|Univ Regina Fac Engn & Appl Sci Petr Syst Engn Regina SK S4S 0A2 Canada;

    PetroChina Coalbed Methane Co Ltd Beijing 100028 Peoples R China;

    Univ Regina Fac Engn & Appl Sci Petr Syst Engn Regina SK S4S 0A2 Canada;

    Univ Regina Fac Engn & Appl Sci Petr Syst Engn Regina SK S4S 0A2 Canada;

    Southwest Petr Univ Slate Key Lab Oil & Gas Reservoir Geol & Exploita Chengdu 610500 Sichuan Peoples R China;

    Univ Regina Fac Engn & Appl Sci Petr Syst Engn Regina SK S4S 0A2 Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    coalbed methane; plugging; acidizing; feasibility analysis; optimal design;

    机译:煤层;堵塞;酸化;可行性分析;最优设计;
  • 入库时间 2022-08-18 21:17:41

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