Khan, MS, Carr, H and Angus, D (2016) Generating Watertight Isosurfaces from 3D Seismic Data. In: Computer Graphics & Visual Computing (CGVC) 2016. Computer Graphics & Visual Computing (CGVC) 2016, 15-16 Sep 2016, Bournemouth, United Kingdom. Eurographics Association for Computer Graphics ISBN 978-3-03868-022-2
Abstract
Seismic data visualisation and analysis is an area of research interest for a lot of commercial and academic disciplines. It enables the geoscientists to understand structures underneath the earth. It is an important step in building subsurface geological models to identify hydrocarbon reservoirs and running geological simulations. Good quality watertight surface meshes are required for constructing these models for accurate identification and extraction of strata/horizons that contain carbon deposits such as fuel and gas. This research demonstrates extracting watertight geometric surfaces from 3D seismic volumes to improve horizon identification and extraction. Isosurfaces and Fiber Surfaces are proposed for extracting horizons from seismic data. Initial tests with isosurfaces have been conducted and further experiments using fiber furfaces are underway as next direction and discussed in sections 4.5 and 4.6.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Computer Graphics, Volume Visualisation, Isosurfaces, Watertight Meshes, Seismic Volumes, Seismic Horizon, Surface Handles |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 28 Oct 2016 10:44 |
Last Modified: | 08 Nov 2016 22:39 |
Published Version: | http://doi.org/10.2312/cgvc.20162020 |
Status: | Published |
Publisher: | Eurographics Association for Computer Graphics |
Identification Number: | 10.2312/cgvc.20162020 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:106638 |