气候变化领域集成服务门户(CCPortal): Multi-scenario Interpretations From Sparse Fault Evidence Using Graph Theory and Geological Rules

CCPortal

DOI	10.1029/2020JB020022
	Multi-scenario Interpretations From Sparse Fault Evidence Using Graph Theory and Geological Rules
	Godefroy G.; Caumon G.; Laurent G.; Bonneau F.
发表日期	2021
ISSN	21699313
卷号	126 期号:2
英文摘要	The characterization of geological faults from geological and geophysical data is often subject to uncertainties, owing to data ambiguity and incomplete spatial coverage. We propose a stochastic sampling algorithm which generates fault network scenarios compatible with sparse fault evidence while honoring some geological concepts. This process is useful for reducing interpretation bias, formalizing interpretation concepts, and assessing first-order structural uncertainties. Each scenario is represented by an undirected association graph, where a fault corresponds to an isolated clique, which associates pieces of fault evidence represented as graph nodes. The simulation algorithm samples this association graph from the set of edges linking the pieces of fault evidence that may be interpreted as part of the same fault. Each edge carries a likelihood that the endpoints belong to the same fault surface, expressing some general and regional geological interpretation concepts. The algorithm is illustrated on several incomplete data sets made of three to six two-dimensional seismic lines extracted from a three-dimensional seismic image located in the Santos Basin, offshore Brazil. In all cases, the simulation method generates a large number of plausible fault networks, even when using restrictive interpretation rules. The case study experimentally confirms that retrieving the reference association is difficult due to the problem combinatorics. Restrictive and consistent rules increase the likelihood to recover the reference interpretation and reduce the diversity of the obtained realizations. We discuss how the proposed method fits in the quest to rigorously (1) address epistemic uncertainty during structural studies and (2) quantify subsurface uncertainty while preserving structural consistency. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	geology; graph theory; interpretation; seismic; structural
语种	英语
来源期刊	Journal of Geophysical Research: Solid Earth
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/187374
作者单位	Université de Lorraine, CNRS, GeoRessources, ENSG, Nancy, France; University of Orléans, CNRS, BRGM, ISTO, UMR 7327, Orléans, France
推荐引用方式 GB/T 7714	Godefroy G.,Caumon G.,Laurent G.,et al. Multi-scenario Interpretations From Sparse Fault Evidence Using Graph Theory and Geological Rules[J],2021,126(2).
APA	Godefroy G.,Caumon G.,Laurent G.,&Bonneau F..(2021).Multi-scenario Interpretations From Sparse Fault Evidence Using Graph Theory and Geological Rules.Journal of Geophysical Research: Solid Earth,126(2).
MLA	Godefroy G.,et al."Multi-scenario Interpretations From Sparse Fault Evidence Using Graph Theory and Geological Rules".Journal of Geophysical Research: Solid Earth 126.2(2021).