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Characterization and estimation of gas-bearing properties of Devonian coals using well log data from five Illizi Basin wells (Algeria)

机译:从Five Illizi Bours井(阿尔及利亚)使用井数数据的探针煤煤气轴承性能的特征及估算

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摘要

In Algeria, wells drilled in the Illizi Basin suggest the presence of a significant areal trend of Devonian coal seams with the thickest coal seams penetrated in the Lower Devonian stratigraphic unit F6. This makes them some of the oldest thick coal seams encountered. These coals exist between approximately 1500 and 4000 meters below surface. In particular, numerous coals in these formations drilled in the Oudoume field have recorded gas shows while drilling. A study of basic well log data from five wells penetrating Illizi Basin coals is conducted to characterize their distribution and provisionally evaluate their gas-bearing potential using petrophysical analysis coupled with machine learning. A simple multi-layer perceptron model (one hidden layer with four nodes) is used in a novel way to replicate estimates of gas saturation in the coal samples calculated approximately with the modified Kim equation. It does so by considering three commonly measured well-log variables: gamma ray, sonic travel time, deep resistivity (307 data records from the five wells studied). The log-calculated approximations (modified Kim equation) can be matched to better than plus or minus 1 scf/ton by the multi-layer perceptron model. The results and analysis presented provide preliminary encouragement that suggests the presence of a potentially extensive gas-bearing Devonian coal trend in the Illizi Basin that is worthy of further exploration. Future work is required to integrate data from additional wells and laboratory analysis of core samples to verify the extent of that coal trend and to quantify its gas concentrations.
机译:在阿尔及利亚,在Illizi盆地钻井的井建议存在德文翁煤层的角度,具有较深的煤层渗透在下德文郡地层单元F6中。这使得它们遇到了一些最古老的厚煤层。这些煤在表面以下约1500和4000米之间。特别是,在Oudoume FiEld中钻的这些地层中的许多煤在钻井时录制了燃气表演。对来自五孔井穿透illizi盆煤的基本井数数据进行了研究,以表征它们的分布,并暂时使用岩石物理分析与机器学习相结合的含气电位。简单的多层Perceptron模型(具有四个节点的一个隐藏层)以一种新的方式使用,以复制大约与修改的KIM方程计算的煤样中的气体饱和度的估计。它通过考虑三个常用的井 - 日志变量来实现:伽玛射线,声波行程时间,深电阻率(所研究的五个井中的数据记录)。可以通过多层的Perceptron模型更好地匹配日志计算的近似(Modi Ed Kim方程)与Plus或Minus 1 SCF /吨匹配。提出的结果和分析提供了初步鼓励,表明Illizi盆地中存在潜在广泛的煤气煤趋势,这是值得进一步的探索。未来的工作是必须从额外的井和核心样品的实验室分析中整合数据,以验证煤趋势的程度并量化其气体浓度。

著录项

  • 作者

    Rafik Baouche; David A. Wood;

  • 作者单位
  • 年度 2020
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  • 原文格式 PDF
  • 正文语种 eng
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