3-D Structural geological models: Concepts, methods, and uncertainties

被引:193
作者
Wellmann, Florian [1 ]
Caumon, Guillaume [2 ]
机构
[1] Rhein Westfal TH Aachen, Computat Geosci & Reservoir Engn CGRE, Aachen, Germany
[2] Univ Lorraine, ENSG, GeoRessources UMR 7359, Vandoeuvre Les Nancy, France
来源
ADVANCES IN GEOPHYSICS, VOL 59 | 2018年 / 59卷
关键词
AIRBORNE ELECTROMAGNETIC DATA; PREDICTIVE MAPPING RPM; REMOTE-SENSING DATA; VISUALIZING UNCERTAINTY; MAGNETIC-ANOMALIES; GEOPHYSICAL-DATA; FAULT NETWORKS; MONTE-CARLO; FIELD DATA; PROBABILISTIC INVERSION;
D O I
10.1016/bs.agph.2018.09.001
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The Earth below ground is the subject of interest for many geophysical as well as geological investigations. Even though most practitioners would agree that all available information should be used in such an investigation, it is common practice that only a part of geological and geophysical information is actually integrated in structural geological models. We believe that some reasons for this omission are (a) an incomplete picture of available geological modeling methods, and (b) the problem of the perceived static picture of an inflexible geological representation in an image or geological model. With this work, we aim to contribute to the problem of subsurface interface detection through (a) the review of state-of-the-art geological modeling methods that allow the consideration of multiple aspects of geological realism in the form of observations, information, and knowledge, cast in geometric representations of subsurface structures, and (b) concepts and methods to analyze, quantify, and communicate related uncertainties in these models. We introduce a formulation for geological model representation and interpolation and uncertainty analysis methods with the aim to clarify similarities and differences in the diverse set of approaches that developed in recent years. We hope that this chapter provides an entry point to recent developments in geological modeling methods, helps researchers in the field to better consider uncertainties, and supports the integration of geological observations and knowledge in geophysical interpretation, modeling and inverse approaches.
引用
收藏
页码:1 / 121
页数:121
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