地球统计地震页岩物理AVA反演

M. Cyz, L. Azevedo
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引用次数: 0

摘要

储层表征的主要目标是描述地下岩石性质(即孔隙度、矿物体积和流体饱和度)。这通常是通过连续的两步方法来完成的:从地震反演中推断弹性特性,然后通过校准的岩石物理模型来计算岩石特性。然而,这种顺序过程可能导致有偏差的预测,因为不确定性可能不会通过整个过程传播。为了克服这些限制,本文提出了使用地质统计直接页岩物理AVA反演直接从地震数据推断页岩性质的方法。提出的地质统计直接页岩物理AVA反演的目的是从地震反射数据中提取页岩体组成中的属性,如脆性、TOC和孔隙度。将该方法应用于波兰北部下古生界页岩储层的真实数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geostatistical Seismic Shale Rock Physics AVA Inversion
Summary The main goal of reservoir characterization is the description of the subsurface rock properties (i.e. porosity, volume of minerals and fluid saturations). This is commonly done in a sequential, two-step, approach: elastic properties are inferred from seismic inversion, which are then used to compute rock properties by applying calibrated rock physics models. However, this sequential procedure may lead to biased predictions as the uncertainties may not be propagated through the entire process. To overcome these limitations, here we propose the inference of shale rock properties directly from seismic data using a geostatistical direct shale rock physics AVA inversion. The purpose of the proposed geostatistical direct shale rock physics AVA inversion is to extract the properties included in the composition of a shale volume, such as brittleness, TOC and porosity from the seismic reflection data. The proposed method is applied to a real dataset from a Lower Paleozoic shale reservoir in Northern Poland.
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