地质统计学:必要,但远远不够

A. A. Curtis, E. Eslinger, S. Nookala
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摘要

本文解释了在储层描述和建模过程中,地质统计学在哪些主要步骤中起不到什么作用,以及为什么在使用地质统计学之前必须使用其他技术。提出了一种工作流程,克服了储层表征中较为棘手的问题之一:在没有合适网格的情况下,将岩石物理性质(包括与饱和度相关的性质)从精细尺度移动到粗尺度。如果没有对这个问题的严格解决方案,那么随后使用地质统计算法来分发可能质量较差的属性数据是值得怀疑的。该解决方案被称为CUSP工作流,使用基于特征长度变量(clv)的独特参数化,该参数化遵循液压相似原理。利用基于贝叶斯的概率多元聚类分析方法对岩石物性进行分类和传播。CUSP工作流是规模独立的,并已在现成的软件中实现。给出了一个应用该工作流程将岩石物理性质从岩心桥塞尺度转移到电缆测井尺度的例子,并提供了一个从测井尺度转移到土工格室尺度的例子。
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Geostatistics: Necessary, but Far from Sufficient
Summary An explanation is given of both where and why there are several major steps in the reservoir characterisation and modelling process in which geostatistics are of little avail and for which other technologies must be used before geostatistics can then be invoked. A workflow is presented which overcomes one of the more intractable problems in reservoir characterisation: that of moving petrophysical properties, including saturation-dependent properties, from a fine scale to a coarser scale in the absence of suitable grids. Without a rigorous solution to this problem, the subsequent use of geostatistical algorithms to distribute what may be poor quality properties data is questionable. The solution, termed the CUSP workflow, uses a unique parametrisation based on Characteristic Length Variables (CLVs) which honour the principles of hydraulic similitude. A Bayesian-based Probabilistic Multivariate Clustering Analysis is used to carry out the Classification and Propagation of petrophysical properties based on the CLVs. The CUSP workflow is scale independent and has been implemented in readily available software. An example of the application of the workflow to move petrophysical properties from the core-plug scale to the wireline log scale is presented and an example for moving from the log scale to the geocell scale is provided.
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