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Taking Better Advantage of Fold Axis Data to Characterize Anisotropy of Complex Folded Structures in the Implicit Modeling Framework
Mathematical Geosciences ( IF 2.6 ) Pub Date : 2021-07-05 , DOI: 10.1007/s11004-021-09950-0
Laure Pizzella 1 , Xavier Freulon 1 , Jacques Rivoirard 1 , Robin Alais 2 , Simon Lopez 3
Affiliation  

When too few field measurements are available for the geological modeling of complex folded structures, the results of implicit methods typically exhibit an unsatisfactory bubbly aspect. However, in such cases, anisotropy data are often readily available but not fully exploited. Among them, fold axis data are a straightforward indicator of this local anisotropy direction. Focusing on the so-called potential field method, this work aims to evaluate the effect of the incorporation of such data into the modeling process. Given locally sampled fold axis data, this paper proposes to use the second-order derivatives of the scalar field in addition to the existing first-order ones. The mathematical foundation of the approach is developed, and the respective efficiencies of both kinds of constraints are tested. Their integration and impact are discussed based on a synthetic case study, thereby providing practical guidelines to geomodeling tool users on the parsimonious use of data for the geological modeling of complex folded structures.



中文翻译:

在隐式建模框架中更好地利用折叠轴数据来表征复杂折叠结构的各向异性

当用于复杂折叠结构的地质建模的现场测量太少时,隐式方法的结果通常表现出令人不满意的气泡方面。然而,在这种情况下,各向异性数据通常很容易获得但没有得到充分利用。其中,折叠轴数据是这种局部各向异性方向的直接指标。这项工作专注于所谓的势场方法,旨在评估将此类数据纳入建模过程的效果。给定局部采样的折叠轴数据,本文提出除了现有的一阶导数之外,还使用标量场的二阶导数。开发了该方法的数学基础,并测试了两种约束的各自效率。

更新日期:2021-07-05
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