首页> 外文会议>SPWLA annual logging symposium;Society of Petrophysicists and Well Log Analysts, inc >ESTIMATING IN-SITU RELATIVE PERMEABILITY AND CAPILLARY PRESSURE FROM MULTIPHYSICS WIRELINE MEASUREMENTS
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ESTIMATING IN-SITU RELATIVE PERMEABILITY AND CAPILLARY PRESSURE FROM MULTIPHYSICS WIRELINE MEASUREMENTS

机译:从多物理层导线测量中估算原位相对渗透率和毛细管压力

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We present a comprehensive workflow, in the presence of water-based-mud drilling fluids, to estimate in-situ relative permeability and capillary pressure curves by integrating multiphysics wireline measurements including array resistivity, dielectric, nuclear magnetic resonance (NMR), and formation testing and sampling data. Array resistivity logs are used for estimating the radial invasion profile and formation connate water saturation. Dielectric logs have shallow depths of investigation and hence are ideal for estimating residual oil saturation. Also, they provide vital information for determining Archie’s parameters ğ‘š and ğ‘›. NMR data are used to estimate irreducible water saturation, and from the T_2 distribution, we can estimate a pore size distribution index (PSDI), which can help constrain the solution when inverting for relative permeability and capillary pressure curves. NMR data can also be input to the computation of a continuous permeability log that can be calibrated to permeabilities from cores or formation tests. Based on the derived PSDI, we can further narrow the physical bounds for Corey’s exponents in the relative permeability model, i.e., the curvatures of relative permeability curves for the water phase and the oil phase. This workflow demonstrates an efficient method to obtain in-situ relative permeability and capillary pressure parameters, which can help fill the gap in reservoir modeling and simulation. The method has been successfully applied to different reservoir formations including shaly sands, carbonates, and unconsolidated siliciclastic reservoirs.
机译:在存在水基泥浆钻井液的情况下,我们提出了一个全面的工作流程,通过整合包括阵列电阻率,电介质,核磁共振(NMR)和地层测试在内的多物理场电缆测量来估算原位相对渗透率和毛细管压力曲线和采样数据。阵列电阻率测井曲线用于估算径向侵入剖面和地层原生水饱和度。介电测井的调查深度较浅,因此是估算剩余油饱和度的理想选择。而且,它们为确定Archie的参数ğ’š和ğ’›提供了重要信息。 NMR数据用于估计不可还原的水饱和度,并且根据T_2分布,我们可以估计孔径分布指数(PSDI),当相对渗透率和毛细管压力曲线反演时,这可以帮助约束溶液。 NMR数据也可以输入到连续渗透率测井曲线的计算中,该测井曲线可以根据岩心或地层测试的渗透率进行校准。基于导出的PSDI,我们可以进一步缩小Corey指数在相对渗透率模型中的物理范围,即水相和油相的相对渗透率曲线的曲率。该工作流程演示了一种获取原位相对渗透率和毛细管压力参数的有效方法,可以帮助填补储层建模和模拟的空白。该方法已成功应用于不同的储层,包括泥质砂岩,碳酸盐岩和非固结硅质碎屑岩储层。

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