Harrison, DG, Efford, ND, Fisher, QJ orcid.org/0000-0002-2881-7018 et al. (1 more author) (2018) PETMiner - A visual analysis tool for petrophysical properties of core sample data. IEEE Transactions on Visualization and Computer Graphics, 24 (5). pp. 1728-1741. ISSN 1077-2626
Abstract
The aim of the PETMiner software is to reduce the time and monetary cost of analysing petrophysical data that is obtained from reservoir sample cores. Analysis of these data requires tacit knowledge to fill ‘gaps’ so that predictions can be made for incomplete data. Through discussions with 30 industry and academic specialists, we identified three analysis use cases that exemplified the limitations of current petrophysics analysis tools. We used those use cases to develop nine core requirements for PETMiner, which is innovative because of its ability to display detailed images of the samples as data points, directly plot multiple sample properties and derived measures for comparison, and substantially reduce interaction cost. An 11-month evaluation demonstrated benefits across all three use cases by allowing a consultant to: (1) generate more accurate reservoir flow models, (2) discover a previously unknown relationship between one easy-to-measure property and another that is costly, and (3) make a 100-fold reduction in the time required to produce plots for a report.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
Keywords: | Visualization Systems and Software; Information Visualization; Design Study |
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) The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Institute for Applied Geosciences (IAG) (Leeds) |
Funding Information: | Funder Grant number Operating Account N/A EPSRC EP/K503836/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Mar 2017 10:51 |
Last Modified: | 06 Sep 2019 15:23 |
Published Version: | https://doi.org/10.1109/TVCG.2017.2682865 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/TVCG.2017.2682865 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113580 |