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A Workflow to Evaluate Porosity, Mineralogy, and TOC in the Utica-Point Pleasant Shale Play

机译:在Utica-Point Pleasant Shale Play中评估孔隙度,矿物学和TOC的工作流程

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Porosity is a key reservoir property used in petrophysical evaluations. Obtaining realistic porosity estimates in unconventional reservoirs is challenging using only conventional logs. Conventional log porosity measurements are affected by the presence of kerogen in organic-rich reservoirs. Techniques such as ΔLogR can be used to predict total organic carbon (TOC) which can be converted to kerogen volume. The kerogen volume can then be used to apply corrections to conventional porosity measurements. However, these techniques require prior knowledge of thermal maturity or core measurements such as vitrinite reflectance (R_o). The predicted TOC can also be used in conjunction with geochemical elemental measurements for a more accurate assessment of formation kerogen and mineralogy, as well as for hydrocarbon volumes. Nuclear magnetic resonance (NMR) logs measure only the fluids present and represent a total porosity unaffected by solid components such as kerogen and bitumen. Recent observations in numerous unconventional resource plays indicate that NMR log porosity provides the best match to core porosity and does not require corrections for kerogen. NMR log porosity is available in real time as an input to the petrophysical model long before core measurements can be completed. The complex refractive index method (CRIM) in conjunction with mineralogy log data can be used to compute accurate dielectric porosities, which exclude both kerogen and hydrocarbon. Integrating core TOC, predicted TOC, mineral analysis, NMR, and dielectric information, a final verification of the kerogen volume, porosity, hydrocarbon content, and mineral analysis can be assessed. Based on previous work in the Eagle Ford Shale, a comprehensive workflow was developed for unconventional source rock reservoir interpretation. The workflow integrates conventional logs, a geochemical log, an NMR log, and a dielectric log to predict TOC, kerogen volume, mineralogy, total porosity, and hydrocarbon volume. This paper will show results from the Eagle Ford wells upon which this workflow is based. Then, we apply the workflow to the Utica-Point Pleasant Shale Play and compare those results to core measurements.
机译:孔隙度是岩石物理评估中使用的关键储层性质。获得非传统水库的现实孔隙度估计是使用常规日志具有挑战性的。常规的日志孔隙率测量受到富有机储存器中Kerogen的影响。诸如ΔLOG的技术可用于预测可以转化为Kerogen体积的总有机碳(TOC)。然后可以使用Kerogen体积对常规孔隙度测量施加校正。然而,这些技术需要先前了解热成熟度或核心测量,例如vitriinite反射(R_O)。预测的TOC也可以与地球化学元素测量结合使用,以便更准确地评估形成的角膜原和矿物,以及烃类。核磁共振(NMR)原木仅测量存在的流体,并且代表由固体组分(如Kerogen和沥青)不受影响的总孔隙率。近期在许多非传统资源中的观察结果表明NMR日志孔隙度提供了与核心孔隙度最佳匹配,并且不需要对角蛋白进行校正。 NMR日志孔隙度实时可用,作为核心测量开始前的岩石物理模型的输入。复合折射率法(CRIM)与矿物学对数数据结合使用可用于计算精确的介电孔隙率,该介电孔隙率排除了角蛋白和烃。集成核心TOC,预测的TOC,矿物质分析,NMR和介电信息,可以评估Kerogen体积,孔隙率,烃含量和矿物质分析的最终验证。基于以前的工作在Eagle Ford Shale,为非传统源岩储层解释开发了一个全面的工作流程。工作流程集成了常规日志,地球化学日志,NMR日志和介电日志,以预测TOC,Kerogen体积,矿物学,总孔隙率和烃体积。本文将显示Eagle Ford Wells的结果,在此工作流程是基于的。然后,我们将工作流程应用于Utica-Point Pleasant页岩播放,并将这些结果与核心测量进行比较。

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