Intra- and Inter-Facies Variability of Multi-Physics Data in Carbonates. New Insights from Database of ALBION R&D Project

C. Danquigny, G. Massonnat, Cédric Mermoud, J. Rolando
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引用次数: 2

Abstract

In carbonates, the geological facies is a key driver for populating reservoir models with petrophysical properties. Conventionnal core analysis mainly contributes to establish relationships between facies, petrophysics and geophysics. However, populating gridblocks reservoir models with petrophysics requires parsimonious facies classifications and effective relationships at larger scales that field studies rarely investigate. Studying outcrop analogues helps filling the gap between lab measurements and effective upscaled properties of models, and considerably improves the modelling workflows. The ALBION R&D project developed an innovative framework for multi-physics and multi-scales characterization of Barremian-Aptian carbonates from south-eastern France. These outcropping rudist-rich limestones constitute an analogue of Middle-East reservoirs. Petrophysical and geophysical properties were measured on plugs from cores and outcrops but also at larger scales thanks to original experiments on cores, in and between boreholes. Indeed the analogue includes several experimental areas, where hydraulic tests in sealed wells sections and tomographies between very close boreholes allowed investigating petrophysical and geophysical rock properties at intermediate decimetric to decametric scales. Thanks to the resulting database, this paper aims quantifying the variability of multi-physics data (e.g. porosity, permeability, and P-wave velocity) at different scales in regards of an updated and unified facies classification. The latter is only based on sedimentary origin and fabrics. Other available properties affecting petrophysics are used to cluster facies associations in sub-classes. Consequently the facies classification does not allow discriminating the distributions of porosity, permeability, nor p-wave velocity. For the rudist facies, that is the most sampled, texture subclasses do not help this work. Reversely, the place of sampling, that is likely a proxy of diagenesis and age, cluster the petrophysical distributions. The results remind us that a proper facies definition should consider both sedimentary origin, fabrics, texture, diagenesis and tectonics. They also point out the relative importance of each characteristics in regards of the scale of interest and the difficulty to infer upscaled relationships between rock properties from CCAL because the representative elementary volume of carbonates is usually higher than the plug and even the core volumes.
碳酸盐岩多物理场数据的相内、相间变异性。ALBION研发项目数据库的新见解
在碳酸盐岩中,地质相是用岩石物理性质填充储层模型的关键驱动因素。常规岩心分析主要有助于建立相、岩石物理和地球物理之间的关系。然而,用岩石物理学填充网格块油藏模型需要简化的相分类和更大规模的有效关系,而现场研究很少研究这些关系。研究露头类似物有助于填补实验室测量和模型有效升级属性之间的空白,并大大改善建模工作流程。ALBION研发项目开发了一个创新的框架,用于法国东南部Barremian-Aptian碳酸盐岩的多物理场和多尺度表征。这些露头的富乡村灰岩与中东的储层类似。在岩心和露头的岩芯上测量岩石物理和地球物理性质,但由于对岩心、井内和井间的原始实验,也可以在更大的尺度上测量岩石物理和地球物理性质。实际上,模拟包括几个实验区,在封闭井段进行水力测试,在非常接近的井眼之间进行层析成像,可以在中分米至十分米尺度上研究岩石物理和地球物理岩石性质。借助该数据库,本文旨在量化不同尺度下多物理场数据(如孔隙度、渗透率和纵波速度)的变异性,从而更新和统一相分类。后者仅基于沉积成因和组构。其他可用的影响岩石物理性质的属性被用于亚类相组合的聚类。因此,相分类不能区分孔隙度、渗透率和纵波速度的分布。对于采样最多的原始相,纹理子类对这项工作没有帮助。相反,采样地点可能是成岩作用和年龄的代表,聚集了岩石物理分布。研究结果提示,正确的相定义应综合考虑沉积成因、组构、构造、成岩作用和构造等因素。他们还指出,就感兴趣的规模而言,每个特征的相对重要性以及从CCAL推断岩石性质之间的放大关系的难度,因为碳酸盐的代表性基本体积通常高于桥塞甚至岩心体积。
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