通过基于核心的量化调查特拉华盆地骨泉和Wolfcamp观测:集成工作流中的案例研究,包括封闭的蒸馏器比较

S. Perry, J. Zumberge, K. Cheng
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引用次数: 1

摘要

在过去的十年里,在非常规油气勘探、评价和开发阶段,大二叠纪盆地体系的Delaware盆地一直是人们关注的焦点。在油气行业继续钻水平井开采可产油气的同时,地下学科通过应用各种技术工具继续研究地层的岩石和流体性质。在这项研究中,我们重点研究了德克萨斯州西部Loving、Ward和Reeves县的5口井,在这些井中采集了整个岩心样本,并对不同地质背景下Bone Spring和Wolfcamp地层的变化进行了比较。从整个常规岩心中提取的样品在实验室环境中进行了研究,并对每个样品进行了一系列测量。实验室测量区分了地层间隔上岩石属性体积(即孔隙度、饱和度、总有机碳)的趋势和变化。利用核磁共振,以及获得的地球化学数据,允许一种创新的方法和校正系数的应用,应用于饱和度定量。将地质背景与实验室测量数据约束和岩石物理电缆测井解释相结合,将岩石和流体性质分布的预测趋势联系起来,有助于预测油气产量与水产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating Delaware Basin Bone Spring and Wolfcamp Observations Through Core-Based Quantification: Case Study in the Integrated Workflow, Including Closed Retort Comparisons
The Delaware Basin of the greater Permian Basin system has been the focus of continually increased attention in the exploration, appraisal, and development phases of unconventional oil and gas potential over the past decade. While the industry continues to drill horizontal wells for the exploitation of producible hydrocarbon, subsurface disciplines continue to investigate the rock and fluid properties of the stratigraphy through the application of various technological tools. In this study, we focus on five wells spatially covering Loving, Ward, and Reeves Counties in West Texas, where whole core samples were acquired and investigated to compare variations in the Bone Spring and Wolfcamp Formations across varying geological contexts. Samples taken from the whole conventional core were investigated in the laboratory setting, and a series of measurements were acquired on each sample. The laboratory measurements distinguished trends and changes in the rock property volumes (i.e., porosity, saturation, total organic carbon) over stratigraphic intervals. The utilization of nuclear magnetic resonance, as well as acquired geochemical data, allows an innovative approach and application of a correction factor to be applied to the saturation quantification. Integration of geological context with measured laboratory data constraints and petrophysical wireline-log-based interpretation links predictive trends from the defined rock and fluid property distributions and may aid in predicting hydrocarbon vs. water production.
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