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首页> 外文会议>第12届国际数学地质大会 >Refined Lithological Classification through Structured Multivariate Analysis
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Refined Lithological Classification through Structured Multivariate Analysis

机译：通过结构多元分析细化岩性分类

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Estimation of reservoir heterogeneity from well logs is an important yet difficult task encountered in geophysical formation evaluation and reservoir engineering. This paper presents a methodology for mapping petro-variability through a structured multivariate analysis of four wells from an Upper Triassic to Lower Jurassic fluvial succession, offshore mid-Norway. Traditionally principal component analysis (PCA) is run by analyzing the entire wireline log and using PCA scores to characterize variability within and between lithologies. In this paper we propose a technique to quantify reservoir heterogeneity due to second order rock property contrasts in addition to more standard approaches for lithological segmentation. In this study, fades characterization has been addressed through the use of four separate PCAs. PC loadings and scores are calculated from: (1) a total analysis of all fades and all log variables in addition to derived variables through a 1st and 2nd derivative transform, (2) a subset analysis including only the coaly facies and (3) a second subset analysis including only cemented zones and finally (4) a refined reservoir heterogeneity analysis portraying the effects of secondary sources of petro-variability is quantified through the use of the Eckart-Young theorem. This complex reconstruction of the log variables into petro-normalized logs can then be used to portray the within-facies heterogeneities and refine the more standard characterization of reservoir heterogeneity. This paper demonstrates that the petro-normalization using the Eckart-Young theorem enhances our ability to characterize reservoir heterogeneity compared to the more traditional workflows. The methodology has been successfully tested on a cored well and the application of this procedure provided additional insight into the complex fluvial characteristics of a heterolithic sequence that poses great development challenges.
机译：从测井曲线估算储层非均质性是地球物理地层评估和储层工程中遇到的重要而又艰巨的任务。本文提出了一种通过对挪威中部近上三叠纪至下侏罗纪河流相继的4口井进行结构化多元分析来绘制岩相变化的方法。传统上，主成分分析（PCA）是通过分析整个电缆测井记录并使用PCA分数来表征岩性内部和岩性之间的变化来进行的。在本文中，我们提出了一种技术，用于量化由于二阶岩石特性差异而引起的储层非均质性，以及用于岩性分段的更多标准方法。在这项研究中，通过使用四个单独的PCA解决了褪色表征。 PC负载和分数的计算方法是：（1）通过一阶和二阶导数变换对所有衰落和所有对数变量以及派生变量进行总体分析;（2）仅包括煤相的子集分析;（3）第二个子集分析仅包括胶合带，最后（4）通过使用Eckart-Young定理量化了精细的储层非均质性分析，该分析描述了石油变率的次要来源的影响。将测井变量转换为石油标准化测井的复杂方法，可以用来描述相内非均质性，并完善储层非均质性的更标准特征。本文表明，与更传统的工作流程相比，使用Eckart-Young定理进行的石油标准化可以增强我们表征储层非均质性的能力。该方法已在带芯井上成功进行了测试，该方法的应用为深入理解异质石序列的复杂河流特征提供了新的见解，这给开发带来了巨大挑战。

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