Back to Search
Start Over
3-D Structural geological models: Concepts, methods, and uncertainties
- Source :
- Advances in Geophysics, Cedric Schmelzbach. Advances in Geophysics, 59, Elsevier, pp.1-121, 2018, ⟨10.1016/bs.agph.2018.09.001⟩
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; 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.
- Subjects :
- [SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics
010504 meteorology & atmospheric sciences
Interface (Java)
Computer science
uncertainty quantification
Interpretation (philosophy)
3-D geometric modeling
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]
joint inversion
010502 geochemistry & geophysics
01 natural sciences
Data science
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Field (geography)
Multivariate interpolation
Set (abstract data type)
spatial interpolation
Uncertainty quantification
Representation (mathematics)
complexity
Uncertainty analysis
geological knowledge
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Advances in Geophysics, Cedric Schmelzbach. Advances in Geophysics, 59, Elsevier, pp.1-121, 2018, ⟨10.1016/bs.agph.2018.09.001⟩
- Accession number :
- edsair.doi.dedup.....5659c35a8e8d2874a47127ad245aab09
- Full Text :
- https://doi.org/10.1016/bs.agph.2018.09.001⟩