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New Integrated History Matching Approach for Vertical Coal Seam Gas Wells in the KN Field, Surat Basin, Australia

机译:澳大利亚苏拉特盆地斯科南垂直煤层气井的新综合历史匹配方法

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摘要

In order to obtain a reliable production forecast for the coal seam gas wells, a history matching was usually conducted to calibrate the simulated water and gas rates to the observed values. This paper presents a case study of history matching vertical coal seam gas wells from the KN Field in the Surat Basin, Australia via a new integrated approach. This approach includes two steps, i.e., determining the key parameters for history matching on the basis of the uncertainty and sensitivity analyses first, and then history matching the observed production data starting from the field level to the local area level to the individual well level. This approach has two significant technical novelties: (1) the range of parameters was defined as the constraint and (2) the direction and extent of production response were considered when modifying the parameters in the history matching. In the study area, satisfactory history matching results were achieved for all 66 wells, which have been produced for 10 or more years, after running only 34 simulation cases. Some practicable strategies were also proposed in this study to overcome the challenges of the history matching task for a coal seam gas field. Results show that the distributions of the final parameters from history matching are consistent with the actual reservoir conditions of this area. These strategies can provide reference for the simulation work of other unconventional gas reservoirs.
机译:为了获得煤层气井的可靠性生产预测,通常进行历史匹配以校准模拟水和气体速率,以观察到的值。本文通过新的综合方法提出了苏里亚苏拉特盆地康文山脉纵向煤层气井的历史与垂直煤层气井的案例研究。该方法包括两个步骤,即确定历史匹配的关键参数,基于不确定性和灵敏度分析,然后历史与观察到的生产数据与场级开始到局部级别到各个井级别。这种方法有两种重要的技术Noveltizes:(1)参数范围被定义为约束和(2)在修改历史匹配中的参数时考虑了生产响应的方向和程度。在研究领域,所有66个井都达到了令人满意的历史匹配结果,这些井已经生产了10年或更长时间后,在运行34个模拟案件之后。本研究还提出了一些可行的策略,以克服煤层气领域历史匹配任务的挑战。结果表明,历史匹配的最终参数的分布与该区域的实际水库条件一致。这些策略可以为其他非传统气体藏的模拟工作提供参考。

著录项

  • 来源
    《Energy & fuels》 |2020年第12期|15829-15842|共14页
  • 作者单位

    PetroChina Res Inst Petr Explorat & Dev Beijing 100083 Peoples R China;

    Arrow Energy Pty Ltd Brisbane Qld 4001 Australia;

    PetroChina Res Inst Petr Explorat & Dev Beijing 100083 Peoples R China;

    PetroChina Res Inst Petr Explorat & Dev Beijing 100083 Peoples R China;

    PetroChina Res Inst Petr Explorat & Dev Beijing 100083 Peoples R China;

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

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