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首页> 外文期刊>Fuel >Investigation of different production performances in shale gas wells using assisted history matching: Hydraulic fractures and reservoir characterization from production data
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Investigation of different production performances in shale gas wells using assisted history matching: Hydraulic fractures and reservoir characterization from production data

机译：使用辅助历史匹配对页岩气井井不同生产性能的调查：生产数据的液压裂缝和储层特性

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摘要

We investigated the difference in production performances of three shale gas wells with different completions and fracturing designs. We used assisted history matching technique to perform production match automatically and obtain multiple history matching solutions. The history matching algorithm used in this study is neural networks Markov chain Monte Carlo. In addition, we utilized embedded discrete fracture model technique to model hydraulic fractures instead of local grid refinement method to speed up the simulation runs. The history matching parameters consist of fracture half-length, fracture height, fracture conductivity, fracture width and fracture water saturation for hydraulic fractures properties and include matrix porosity, matrix permeability and relative permeability curves for matrix properties. We found that fracture width, fracture half-length, fracture conductivity and matrix permeability were significantly different in three shale gas wells while fracture height, fracture water saturation, porosity and relative permeability curves were less different. The information from this study will be used further to improve completion and fracturing design.
机译：我们调查了三个页岩气井的生产性能差异，具有不同的完井和压裂设计。我们使用辅助历史匹配技术自动执行生产匹配并获得多个历史匹配解决方案。本研究中使用的历史匹配算法是神经网络Markov Chain Monte Carlo。此外，我们利用嵌入的离散骨折模型技术来模拟液压骨折而不是本地网格精制方法，以加快模拟运行。历史匹配参数由骨折半长，断裂高度，断裂电导率，断裂宽度和骨折水饱和度组成，用于液压裂缝性能，包括基质特性的基质孔隙率，基质渗透率和相对渗透性曲线。我们发现，在三个页岩气井中，骨折宽度，裂缝半长，断裂导电性和基质渗透性显着不同，而骨折高度，裂缝水饱和度，孔隙率和相对渗透性曲线的裂缝较小。本研究中的信息将进一步用于改善完成和压裂设计。

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  • 来源
    《Fuel》 |2020年第may1期|117097.1-117097.26|共26页
  • 作者

    Tripoppoom Sutthaporn; Xie Jun; Yong Rui; Wu Jianfa; Yu Wei; Sepehrnoori Kamy; Miao Jijun; Chang Cheng; Li Ning;

  • 作者单位

    Univ Texas Austin Hildebrand Dept Petr & Geosyst Engn Austin TX 78712 USA;

    Petrochina Southwest Oil & Gas Field Co Chengdu 610017 Peoples R China;

    Petrochina Southwest Oil & Gas Field Co Chengdu 610017 Peoples R China;

    Petrochina Southwest Oil & Gas Field Co Chengdu 610017 Peoples R China;

    Univ Texas Austin Hildebrand Dept Petr & Geosyst Engn Austin TX 78712 USA;

    Univ Texas Austin Hildebrand Dept Petr & Geosyst Engn Austin TX 78712 USA;

    Univ Texas Austin Hildebrand Dept Petr & Geosyst Engn Austin TX 78712 USA|Sim Tech LLC Houston TX USA;

    Petrochina Southwest Oil & Gas Field Co Chengdu 610017 Peoples R China;

    Sim Tech LLC Houston TX USA;

  • 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

    Assisted history matching; Embedded discrete fracture model; Markov Chain Monte Carlo; Neural networks; Hydraulic fractures;

    机译：辅助历史匹配;嵌入式离散骨折模型;马尔可夫链蒙特卡罗;神经网络;液压骨折;

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