Sequential approach to joint flow-seismic inversion for improved characterization of fractured media
Seismic interpretation of subsurface structures is traditionally performed without any account of flow behavior. Here we present a methodology for characterizing fractured geologic reservoirs by integrating flow and seismic data. The key element of the proposed approach is the identification—within...
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American Geophysical Union (AGU)
2017
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Online Access: | http://hdl.handle.net/1721.1/110485 https://orcid.org/0000-0002-4961-6899 https://orcid.org/0000-0002-8814-5495 https://orcid.org/0000-0002-7370-2332 |
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author | Kang, Peter Kyungchul Zheng, Yingcai Fang, Xinding Wojcik, Rafal McLaughlin, Dennis Brown, Stephen Burns, Daniel R Juanes, Ruben Fehler, Michael |
author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Kang, Peter Kyungchul Zheng, Yingcai Fang, Xinding Wojcik, Rafal McLaughlin, Dennis Brown, Stephen Burns, Daniel R Juanes, Ruben Fehler, Michael |
author_sort | Kang, Peter Kyungchul |
collection | MIT |
description | Seismic interpretation of subsurface structures is traditionally performed without any account of flow behavior. Here we present a methodology for characterizing fractured geologic reservoirs by integrating flow and seismic data. The key element of the proposed approach is the identification—within the inversion—of the intimate relation between fracture compliance and fracture transmissivity, which determine the acoustic and flow responses of a fractured reservoir, respectively. Owing to the strong (but highly uncertain) dependence of fracture transmissivity on fracture compliance, the modeled flow response in a fractured reservoir is highly sensitive to the geophysical interpretation. By means of synthetic models, we show that by incorporating flow data (well pressures and tracer breakthrough curves) into the inversion workflow, we can simultaneously reduce the error in the seismic interpretation and improve predictions of the reservoir flow dynamics. While the inversion results are robust with respect to noise in the data for this synthetic example, the applicability of the methodology remains to be tested for more complex synthetic models and field cases. |
first_indexed | 2024-09-23T15:46:19Z |
format | Article |
id | mit-1721.1/110485 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T15:46:19Z |
publishDate | 2017 |
publisher | American Geophysical Union (AGU) |
record_format | dspace |
spelling | mit-1721.1/1104852024-05-15T02:16:03Z Sequential approach to joint flow-seismic inversion for improved characterization of fractured media Kang, Peter Kyungchul Zheng, Yingcai Fang, Xinding Wojcik, Rafal McLaughlin, Dennis Brown, Stephen Burns, Daniel R Juanes, Ruben Fehler, Michael Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences Kang, Peter Kyungchul Zheng, Yingcai Fang, Xinding Wojcik, Rafal McLaughlin, Dennis Brown, Stephen Fehler, Michael C Burns, Daniel R Juanes, Ruben Seismic interpretation of subsurface structures is traditionally performed without any account of flow behavior. Here we present a methodology for characterizing fractured geologic reservoirs by integrating flow and seismic data. The key element of the proposed approach is the identification—within the inversion—of the intimate relation between fracture compliance and fracture transmissivity, which determine the acoustic and flow responses of a fractured reservoir, respectively. Owing to the strong (but highly uncertain) dependence of fracture transmissivity on fracture compliance, the modeled flow response in a fractured reservoir is highly sensitive to the geophysical interpretation. By means of synthetic models, we show that by incorporating flow data (well pressures and tracer breakthrough curves) into the inversion workflow, we can simultaneously reduce the error in the seismic interpretation and improve predictions of the reservoir flow dynamics. While the inversion results are robust with respect to noise in the data for this synthetic example, the applicability of the methodology remains to be tested for more complex synthetic models and field cases. Eni-MIT Energy Initiative Founding Member Program Korea (South). Ministry of Land, Transportation and Maritime Affairs (15AWMP-B066761-03) 2017-07-06T15:02:49Z 2017-07-06T15:02:49Z 2016-02 2015-04 Article http://purl.org/eprint/type/JournalArticle 0043-1397 http://hdl.handle.net/1721.1/110485 Kang, Peter K. et al. “Sequential Approach to Joint Flow-Seismic Inversion for Improved Characterization of Fractured Media: SEQUENTIAL APPROACH TO JOINT FLOW-SEISMIC INVERSION.” Water Resources Research 52.2 (2016): 903–919. © 2016 American Geophysical Union https://orcid.org/0000-0002-4961-6899 https://orcid.org/0000-0002-8814-5495 https://orcid.org/0000-0002-7370-2332 en_US http://dx.doi.org/10.1002/2015wr017412 Water Resources Research Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Geophysical Union (AGU) MIT Web Domain |
spellingShingle | Kang, Peter Kyungchul Zheng, Yingcai Fang, Xinding Wojcik, Rafal McLaughlin, Dennis Brown, Stephen Burns, Daniel R Juanes, Ruben Fehler, Michael Sequential approach to joint flow-seismic inversion for improved characterization of fractured media |
title | Sequential approach to joint flow-seismic inversion for improved characterization of fractured media |
title_full | Sequential approach to joint flow-seismic inversion for improved characterization of fractured media |
title_fullStr | Sequential approach to joint flow-seismic inversion for improved characterization of fractured media |
title_full_unstemmed | Sequential approach to joint flow-seismic inversion for improved characterization of fractured media |
title_short | Sequential approach to joint flow-seismic inversion for improved characterization of fractured media |
title_sort | sequential approach to joint flow seismic inversion for improved characterization of fractured media |
url | http://hdl.handle.net/1721.1/110485 https://orcid.org/0000-0002-4961-6899 https://orcid.org/0000-0002-8814-5495 https://orcid.org/0000-0002-7370-2332 |
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