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https://hdl.handle.net/2440/108575
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Type: | Conference paper |
Title: | A live test of automated facies prediction at wells for CO₂ storage projects |
Other Titles: | A live test of automated facies prediction at wells for CO(2) storage projects |
Author: | Bunch, M. |
Citation: | Energy Procedia, 2014 / Dixon, T., Herzog, H., Twinning, S. (ed./s), vol.63, pp.3432-3446 |
Publisher: | Elsevier Science |
Issue Date: | 2014 |
Series/Report no.: | Energy Procedia, vol. 63 |
ISSN: | 1876-6102 |
Conference Name: | 12th International Conference on Greenhouse Gas Control Technologies (GHGT-12) (5 Oct 2014 - 9 Oct 2014 : Austin, TX) |
Editor: | Dixon, T. Herzog, H. Twinning, S. |
Statement of Responsibility: | Mark Bunch |
Abstract: | At least 900 m of image log data have been interpreted in detail through the Late Cretaceous and Cenozoic succession intersected at two purpose-drilled injection wells of the CO2CRC Otway Project. Interpretations have been calibrated against core observations where possible. Natural clusters for the combined signature of a common suite of coincident well log data were determined using an unsupervised Naive Bayesian classification algorithm called Autoclass. A deterministic relationship between these modelled clusters and interpreted image log facies provides a two-step facies prediction algorithm that can be applied using well log data acquired at other wells intersecting sedimentary successions prospective for CO2 storage. Earlier this year the Division of Resources & Energy, Department of Trade & Investment, of the Australian state of New South Wales drilled a new stratigraphic test well within the Pondie Range Trough of the Darling Basin. The new well, Mena Murtee-1, was drilled close to a 2D seismic tie line linking the Pondie Range Trough depocenter with an old petroleum exploration well, Pondie Range-1, that is sited on a flanking high. Analyses and interpretation of data acquired at Mena Murtee-1 is the latest step in reducing the uncertainty surrounding CO2 storage potential within the Darling Basin. Interpretation of core and image log data acquired at the new well has provided a means by which to test facies predictions made on the basis of the models developed within the Otway Basin. |
Keywords: | CO(2) storage, well log data, facies, Bayesian, modelling, Otway Project, Darling Basin, New South Wales, Australia |
Rights: | © 2014 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). |
DOI: | 10.1016/j.egypro.2014.11.372 |
Published version: | http://dx.doi.org/10.1016/j.egypro.2014.11.372 |
Appears in Collections: | Aurora harvest 8 Australian School of Petroleum publications |
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hdl_108575.pdf | Published version | 6.92 MB | Adobe PDF | View/Open |
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