Surveys in Geophysics ( IF 4.9 ) Pub Date : 2024-06-13 , DOI: 10.1007/s10712-024-09843-x Xiaolong Wei , Zhen Yin , Celine Scheidt , Kris Darnell , Lijing Wang , Jef Caers
Prior model construction is a fundamental component in geophysical inversion, especially Bayesian inversion. The prior model, usually derived from available geological information, can reduce the uncertainty of model characteristics during the inversion. However, the prior geological data for inferring a prior distribution model are often limited in real cases. Our work presents a novel framework to create 3D geophysical prior models using soil geochemistry and borehole rock sample measurements. We focus on the Bayesian inversion, which enables encoding of knowledge and multiple non-geophysical data into the prior. The new framework developed in our research comprises three main parts, namely correlation analysis, prior model reconstruction, and Bayesian inversion. We investigate the correlations between surface and subsurface geochemical features, as well as the correlation between geochemistry and geophysics, using canonical correlation analysis for the surface and borehole geochemistry. Based on the resulting correlations, we construct the prior susceptibility model. The informed prior model is then tested using geophysical forward modeling and outlier detection methods. In this test, we aim to falsify the prior model, which happens when the model cannot predict the field geophysical observation. To obtain the posterior models, the reliable prior models are incorporated into a Bayesian inversion framework. Using a real case of exploration in the Central African Copperbelt, we illustrate the workflow of constructing the high-resolution 3D stratigraphic model conditioned on soil geochemistry, borehole data, and airborne geophysics.
中文翻译:
构建受地表和钻孔地球化学约束的地球物理反演先验
先验模型构建是地球物理反演,尤其是贝叶斯反演的基本组成部分。先验模型通常源自现有的地质信息,可以减少反演过程中模型特征的不确定性。然而,用于推断先验分布模型的先验地质数据在实际情况中通常受到限制。我们的工作提出了一种新颖的框架,可以使用土壤地球化学和钻孔岩石样本测量来创建 3D 地球物理先验模型。我们专注于贝叶斯反演,它能够将知识和多个非地球物理数据编码到先验中。我们研究开发的新框架包括三个主要部分,即相关分析、先验模型重建和贝叶斯反演。我们使用地表和井眼地球化学的典型相关分析来研究地表和地下地球化学特征之间的相关性,以及地球化学和地球物理学之间的相关性。根据所得的相关性,我们构建了先验敏感性模型。然后使用地球物理正演建模和异常值检测方法来测试知情的先验模型。在这个测试中,我们的目标是伪造先前的模型,当模型无法预测现场地球物理观测时就会发生这种情况。为了获得后验模型,将可靠的先验模型纳入贝叶斯反演框架中。我们利用中非铜带勘探的真实案例,说明了构建基于土壤地球化学、钻孔数据和机载地球物理学的高分辨率 3D 地层模型的工作流程。