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Geostatistical applications in petroleum geology and sedimentary geology.

机译:地统计学在石油地质和沉积地质中的应用。

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摘要

Statistical tools can aid the geologist in understanding geologic data, and in the solution of real-world problems. This thesis examines several tools, concentrating on techniques with wide applicability in sedimentary and petroleum geology.; A case study presents the use of geostatistics for mapping hydrocarbon pore volume and risk assessment in an area surrounding Amos Draw field in the northern Powder River basin of Wyoming. The study used sequential Gaussian and indicator simulation techniques, and documents the ability of indicator simulation to incorporate correlated secondary data.; Reservoir characterization requires the generation of numerical grids of geologic properties. Because those properties differ for each rock type, one should first simulate the distribution of rock types, and then the distribution of the reservoir properties. This thesis proposes two multivariate statistical techniques, discriminant function analysis and cluster analysis, for the identification of petrophysical rock types in the Muddy Formation at Amos Draw. The geology of those rock types is discussed using core descriptions, thin-sections, and well log data. The rock types were simulated in three dimensions using indicator principal component simulation. The study also used simulated annealing for post-processing of the simulations, incorporating information from the wells on the transition frequencies between the rock types.; The third case study used runs analysis for the identification of patterns in bed thickness and grain size in turbidites. Upward-thickening and -thinning patterns have been used to assign turbidite sequences to depositional environments, although there has been disagreement on their identification. Runs analysis was applied to a turbidite section in the Sites Formation at Cache Creek, in northern California. That sequence has been described as a classic example of upward-thickening cycles in a progradational outer fan lobe. Runs length distributions show that the sequence consists of subequal numbers of upward-thinning and -thickening cycles within an overall upward-thickening and -fining sequence. Therefore, the sequence does not appear to be the result of fan lobe progradation. By quantifying and comparing the patterns of sedimentary features observed in turbidite sequences, it may be possible to generate new depositional models in the future that reflect the true variability in deep-sea clastic environments.
机译:统计工具可以帮助地质学家了解地质数据,并解决现实问题。本文研究了几种工具,重点研究了在沉积和石油地质中具有广泛适用性的技术。案例研究介绍了在怀俄明州北部粉末河盆地Amos Draw油田周围地区使用地统计学方法绘制烃孔隙体积和风险评估图。该研究使用顺序高斯和指标模拟技术,并记录了指标模拟合并相关辅助数据的能力。储层表征要求生成地质属性的数字网格。因为每种岩石类型的那些属性都不同,所以应该首先模拟岩石类型的分布,然后再模拟储层属性的分布。本文提出了判别函数分析和聚类分析这两种多元统计技术,用于识别阿莫斯凹陷泥质组中的岩石岩石类型。使用岩心描述,薄片和测井资料讨论了这些岩石类型的地质情况。使用指标主成分模拟对岩石类型进行了三维模拟。该研究还将模拟退火用于模拟的后处理,并结合了来自井的有关岩石类型之间转换频率的信息。第三个案例研究使用运行分析来确定浊度床层厚度和晶粒尺寸的模式。尽管在鉴定上存在分歧,但使用向上增厚和稀疏模式将浊积岩序列分配到沉积环境。对加州北部Cache Creek的Sites地层中的浑浊部分进行了游程分析。该序列已被描述为渐进式外部扇形叶上向上变厚周期的经典示例。行程长度分布表明,该序列由整个向上增厚和精炼序列中相等数量的向上稀疏和增厚周期组成。因此,该序列似乎不是扇形叶增殖的结果。通过量化和比较在浊积岩层序中观察到的沉积特征的模式,将来可能生成反映深海碎屑环境中真实变化的新沉积模型。

著录项

  • 作者

    Murray, Christopher John.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Geology.; Statistics.
  • 学位 Ph.D.
  • 年度 1992
  • 页码 322 p.
  • 总页数 322
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地质学;统计学;
  • 关键词

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