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Rock Electrical Properties from Porous Plate and Resistivity Experiments: Tips to Maximize Data Quality

机译:来自多孔板和电阻率实验的岩石电性能:最大化数据质量的提示

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Oil and gas reserve estimates based on measurements by downhole electrical tools require input data such as the cementation factor m and saturation exponent n obtained from core measurements in the laboratory. Thus,the quality of both the laboratory measurement and downhole measurement determines the overall uncertainty of the data interpretation. The uncertainty associated with the laboratory measurement can be minimized by designing an adequate special core analysis(SCAL)program and taking care of quality assurance. There are several parameters to be controlled to ensure good data quality during a porous plate test with resistivity measurements,such as representative applied net confining stress,equilibrium criteria,corrections of sleeve conformance and brine squeeze off,pore volume compressibility,resistance contribution of the porous plate,excess of conductivity due to clay,temperature variation,or even saturation derived from the material balance. Moreover,comprehensive quality control of these tests requires knowledge of rock characteristics,such as mineral composition and routine core analysis data. This paper presents a description of the porous plate experiment combined with measurement of the rock resistivity at capillary equilibrium. A sensitivity analysis of the resistivity measurement with respect to the various parameters evaluates the degree of impact on the cementation factor and the saturation exponent. Some parameters have a small effect on data quality whereas others can lead to significant error in the calculation of the Archie’s exponents m and n. Precautions are necessary in the laboratory to obtain good data quality and avoid large errors in water saturation calculated from electrical logging techniques.
机译:基于井下电气工具的测量的石油和气体储备估计需要输入数据,例如从实验室中获得的芯片系数M和饱和指数N.因此,实验室测量和井下测量的质量决定了数据解释的总体不确定性。通过设计适当的特殊核心分析(SCAS)计划并照顾质量保证,可以最小化与实验室测量相关的不确定性。有几个参数可以控制,以确保在多孔板测试期间的良好数据质量,电阻率测量,如代表施加的净限制应力,平衡标准,套筒符合和盐水挤出,孔隙体积可压缩,电阻贡献多孔板,由于粘土,温度变化,甚至饱和来自材料平衡而导致的电导率过量。此外,这些测试的全面质量控制需要了解岩石特性,例如矿物成分和常规核心分析数据。本文介绍了多孔板实验的描述,所述多孔板实验结合测量毛细管平衡下的岩石电阻率。关于各种参数的电阻率测量的灵敏度分析评估了对粘合因子和饱和度指数的影响程度。一些参数对数据质量有很小的影响,而其他参数则可能导致Archie的指数M和N的计算中的显着误差。实验室需要预防措施,以获得良好的数据质量,并避免从电测井技术计算的水饱和度的大误差。

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