首页> 外文期刊>Petrophysics: The SPWLA Journal of Formation Evaluation and Reservoir Description >Field Examples of the Combined Petrophysical Inversion of Gamma-ray, Density, and Resistivity Logs acquired in Thinly-bedded Clastic Rock Formations
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Field Examples of the Combined Petrophysical Inversion of Gamma-ray, Density, and Resistivity Logs acquired in Thinly-bedded Clastic Rock Formations

机译:薄层碎屑岩层中获得的伽马射线,密度和电阻率测井组合岩石物理反演的现场实例

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摘要

Limited vertical resolution of logging tools causes shoulder-bed effects on borehole measurements, therefore biases in the assessment of porosity and hydrocarbon saturation across thinly-bedded rock formations. Previously, a combined inversion procedure was developed for induction resistivity and density logs to improve the petrophysical assessment of multi-layer reservoirs. In this paper, we include the inversion of gamma-ray (GR) logs in the interpretation method and evaluate three field cases that comprise hydrocarbon-saturated Tertiary turbidite sequences. On average, inversion results yield 19% better agreement to core measurements and lead to 28% increase in hydrocarbon reserves when compared to standard well-log interpretation procedures. The most critical step for reliable and accurate inversion results is the detection/ selection of bed boundaries. Inversion of field data also indicates that the minimum bed thickness resolvable with combined inversion is approximately 0.7ft (0.21m), and that inflection points of density logs are the best option for bed-boundary detection. Combined inversion also allows the detection of noisy, inconsistent, and inadequate measurements, including cases of abnormal measurement-correction biases otherwise difficult to diagnose on processed logs.
机译:测井工具的垂直分辨率有限会导致井床测量受到肩层影响,因此在评估薄层岩层的孔隙度和烃饱和度时会产生偏差。以前,人们开发了一种组合的反演程序,用于感应电阻率和密度测井,以改善多层储层的岩石物性评估。在本文中,我们在解释方法中包括了伽马射线(GR)测井的反演,并评估了包含烃类饱和第三纪浊质层序的三个现场案例。平均而言,与标准测井解释程序相比,反演结果与岩心测量结果的吻合度提高了19%,并使油气储量增加了28%。获得可靠和准确的反演结果的最关键步骤是探测/选择床边界。现场数据的反演还表明,组合反演可解决的最小床层厚度约为0.7英尺(0.21m),密度测井拐点是床边界探测的最佳选择。组合反演还可以检测出嘈杂的,不一致的和不足的测量值,包括异常的测量校正偏差情况,否则很难在已处理的日志上进行诊断。

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