Subsidence Analysis and Visualization - For Sedimentary Basin Analysis and Modelling (Paperback, 1st ed. 2019)

This book provides a comprehensive introduction to techniques for quantitative subsidence analysis and visualization with example applications. Subsidence analysis is an essential step to understand basin evolution through geologic time and space in the study of sediments and sedimentary basins. Quantifying techniques have been developed and applied in many basin research projects to evaluate total, tectonic and thermal subsidence. They are also a pre-requisite for basin evolution modelling. Recent studies have applied visualization techniques to understand regional subsidence contexts and trends, which confirmed that three-dimensional visualization of the basin subsidence is highly helpful to gain insight into basin evolution. In this book, we show how geoscience and computer science can be effectively combined in advanced basin analysis, especially in terms of basin subsidence. Each type of subsidence analysis is introduced with example applications. In particular we present a study of the Vienna basin using BasinVis, a MATLAB-based program for analyzing and visualizing basin subsidence. Given its breadth of coverage, this book will benefit students in undergraduate and postgraduate courses and provide helpful information for research projects and industry applications.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Petroleum Geoscience & Engineering
Release date:	June 2018
First published:	2019
Authors:	Eun-young Lee • Johannes Novotny • Michael Wagreich
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	56
Edition:	1st ed. 2019
ISBN-13:	978-3-319-76423-8
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Earth & environment > Earth sciences > Geology & the lithosphere > Soil science, sedimentology Books > Professional & Technical > Energy technology & engineering > Fossil fuel technologies > General
LSN:	3-319-76423-3
Barcode:	9783319764238

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