深水洞穴型碳酸盐岩核磁共振渗透率估算改进数字岩石模型

R. Victor, C. Torres‐Verdín, M. Prodanović
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引用次数: 0

摘要

我们介绍了一种新的基于岩石的数字方法,用于解释深凹型碳酸盐岩储层测井数据中的核磁共振T2分布。我们的方法考虑了在常规的核磁共振测井解释过程中通常被忽略的不利钻孔条件,如泥浆侵入和孔洞带的大面积冲蚀。这种新方法是基于将测量到的横向弛豫时间的分布描述为有限对数正态分量的叠加。每个组分都说明了钻井液和原始地层流体的特定松弛速率。在处理了整个岩心样品中获得的全岩心x射线计算机断层扫描(CT)图像后,我们仔细设计了核磁共振解释模型。从双能CT数据中估计密度和原子序数,可以直接探测空洞空间中的流体含量,而针对空洞空间的图像分割可以估计空洞网络内部的孔隙度和流动特性。我们的模型能够解释研究数据集中空洞区域的卡尺、光电和核磁共振T2对数平均对数所显示的相关异常。将倒置的NMR T2分布分解为一组基函数,自然地处理了与反演参数相关的不确定性,使得计算流体浓度和渗透率指数的任务相对于截止值的小变化更加稳健。使用这种新方法从核磁共振测井中估计的溶洞层渗透率比基于T2截止值或对数平均的传统技术更准确,而无需人为引入新的拟合参数。利用这种方法,我们还可以明确地量化孔洞孔隙度,这与该特定数据集的分段全岩心层析图像的值非常吻合。上述解释方法的综合使用证实了数字岩石技术在改善复杂碳酸盐岩地层测井资料评价方面的价值,特别是在计算洞穴深度段的渗透率方面。结果可用于改善没有岩心数据和/或高分辨率井眼图像的井的测井解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Digital Rocks-Based Model for NMR Permeability Estimation in Vuggy Deepwater Carbonates
We introduce a new digital rocks-based method for interpreting NMR T2 distributions in well log data acquired in vuggy deep-water carbonate reservoirs. Our method accounts for adverse borehole conditions such as mud invasion and large washouts in vuggy zones, usually neglected in conventional interpretation procedures of NMR logs. The new approach is based on describing the measured distribution of transverse relaxation times as the superposition of a finite set of log-normal components. Each component accounts for specific relaxation rates for drilling mud and original formation fluids. We carefully design our NMR interpretation model after processing whole core X-ray computed tomography (CT) images acquired in whole core samples. Estimation of density and atomic number from dual-energy CT data enabled to directly probe fluid content in the vuggy space, while image segmentation targeting the vuggy space allowed to estimate vuggy porosity and flow properties inside the vug network. Our model was able to explain correlated anomalies shown by caliper, photoelectric, and NMR T2 logarithmic mean logs for the vuggy regions in the dataset studied. The decomposition of inverted NMR T2 distributions in a set of basis functions naturally handles the uncertainty related to inversion parameters, making the task of calculating fluid concentrations and permeability indices more robust with respect to small variations in cutoff values. Permeabilities in vuggy zones estimated from NMR logs using this new method are more accurate than those rendered by conventional techniques based on T2 cutoffs or logarithmic averages, without the need to artificially introduce new fitting parameters. Using this approach, we can also explicitly quantify vuggy porosity, which is in good agreement with values obtained from segmented whole core tomographic images for this particular dataset. The combined use of the above interpretation methods confirms the value of digital rock techniques to improve the evaluation of well logs acquired in complex carbonate formations, specifically in the calculation of permeability across vuggy depth segments. Results can be used to improve well log interpretation in wells devoid of core data and/or high-resolution borehole images.
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