Rock physics and multiple-point geostatistics for seismic inversion

葛布斯

Rock physics and multiple-point geostatistics for seismic inversion

地震反演中的岩石物理与多点地质统计学

Summary概要

This paper presents a novel inversion techniquethat combines rock physics and multiple-point geostatistics (MPG) in a Bayesianframework.The proposed method can be applied in its current implementation toany inverse problem that can be approximated as a series of 1D forward-modelingoperators.Rock-physics principles are incorporated at the beginning of theprocess, defining the links between reservoir properties (e.g., lithology,saturation) and physical properties (e.g., compressibility, electricalconductivity).MPG is used to define and explore the space of solutions.Themethod can be extended to satisfy multiple physical constraints simultaneously;in other words, the solutions can be conditioned with different types ofgeophysical data.Results of two synthetic tests and a real data application arepresented to demonstrate the validity and applicability of the proposedinversion technique.

本文提出了一种新颖的反演技术，将贝叶斯框架中的岩石物理学和多点地质统计学（MPG）结合起来。提出的方法可以在其当前实现中应用于可以近似为一系列1D前向建模的任何逆问题 操作人员在物理学原理的引入过程中，确定了油藏性质（如岩性，饱和度）和物理性质（如压缩性，导电性）之间的联系.MPG用于定义和探索 方法可以同时扩展以满足多个物理约束; 换句话说，解决方案可以用不同类型的地球物理数据进行调节。提出了两个综合测试和实际数据应用的结果，以证明所提出的反演技术的有效性和适用性。