Synergizing Crosswell Seismic and Electromagnetic Techniques for Enhancing Reservoir Characterization

Handle URI:
http://hdl.handle.net/10754/592889
Title:
Synergizing Crosswell Seismic and Electromagnetic Techniques for Enhancing Reservoir Characterization
Authors:
Katterbauer, Klemens ( 0000-0003-0931-8843 ) ; Hoteit, Ibrahim ( 0000-0002-3751-4393 ) ; Sun, Shuyu ( 0000-0002-3078-864X )
Abstract:
Increasing complexity of hydrocarbon projects and the request for higher recovery rates have driven the oil-and-gas industry to look for a more-detailed understanding of the subsurface formation to optimize recovery of oil and profitability. Despite the significant successes of geophysical techniques in determining changes within the reservoir, the benefits from individually mapping the information are limited. Although seismic techniques have been the main approach for imaging the subsurface, the weak density contrast between water and oil has made electromagnetic (EM) technology an attractive complement to improve fluid distinction, especially for high-saline water. This crosswell technology assumes greater importance for obtaining higher-resolution images of the interwell regions to more accurately characterize the reservoir and track fluid-front developments. In this study, an ensemble-Kalman-based history-matching framework is proposed for directly incorporating crosswell time-lapse seismic and EM data into the history-matching process. The direct incorporation of the time-lapse seismic and EM data into the history-matching process exploits the complementarity of these data to enhance subsurface characterization, to incorporate interwell information, and to avoid biases that may be incurred from separate inversions of the geophysical data for attributes. An extensive analysis with 2D and realistic 3D reservoirs illustrates the robustness and enhanced forecastability of critical reservoir variables. The 2D reservoir provides a better understanding of the connection between fluid discrimination and enhanced history matches, and the 3D reservoir demonstrates its applicability to a realistic reservoir. History-matching enhancements (in terms of reduction in the history-matching error) when incorporating both seismic and EM data averaged approximately 50% for the 2D case, and approximately 30% for the 3D case, and permeability estimates were approximately 25% better compared with a standard history matching with only production data.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Synergizing Crosswell Seismic and Electromagnetic Techniques for Enhancing Reservoir Characterization 2015 SPE Journal
Publisher:
Society of Petroleum Engineers (SPE)
Journal:
SPE Journal
Issue Date:
18-Nov-2015
DOI:
10.2118/174559-PA
Type:
Article
ISSN:
1086-055X
Additional Links:
http://www.onepetro.org/doi/10.2118/174559-PA
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorKatterbauer, Klemensen
dc.contributor.authorHoteit, Ibrahimen
dc.contributor.authorSun, Shuyuen
dc.date.accessioned2016-01-06T06:17:22Zen
dc.date.available2016-01-06T06:17:22Zen
dc.date.issued2015-11-18en
dc.identifier.citationSynergizing Crosswell Seismic and Electromagnetic Techniques for Enhancing Reservoir Characterization 2015 SPE Journalen
dc.identifier.issn1086-055Xen
dc.identifier.doi10.2118/174559-PAen
dc.identifier.urihttp://hdl.handle.net/10754/592889en
dc.description.abstractIncreasing complexity of hydrocarbon projects and the request for higher recovery rates have driven the oil-and-gas industry to look for a more-detailed understanding of the subsurface formation to optimize recovery of oil and profitability. Despite the significant successes of geophysical techniques in determining changes within the reservoir, the benefits from individually mapping the information are limited. Although seismic techniques have been the main approach for imaging the subsurface, the weak density contrast between water and oil has made electromagnetic (EM) technology an attractive complement to improve fluid distinction, especially for high-saline water. This crosswell technology assumes greater importance for obtaining higher-resolution images of the interwell regions to more accurately characterize the reservoir and track fluid-front developments. In this study, an ensemble-Kalman-based history-matching framework is proposed for directly incorporating crosswell time-lapse seismic and EM data into the history-matching process. The direct incorporation of the time-lapse seismic and EM data into the history-matching process exploits the complementarity of these data to enhance subsurface characterization, to incorporate interwell information, and to avoid biases that may be incurred from separate inversions of the geophysical data for attributes. An extensive analysis with 2D and realistic 3D reservoirs illustrates the robustness and enhanced forecastability of critical reservoir variables. The 2D reservoir provides a better understanding of the connection between fluid discrimination and enhanced history matches, and the 3D reservoir demonstrates its applicability to a realistic reservoir. History-matching enhancements (in terms of reduction in the history-matching error) when incorporating both seismic and EM data averaged approximately 50% for the 2D case, and approximately 30% for the 3D case, and permeability estimates were approximately 25% better compared with a standard history matching with only production data.en
dc.language.isoenen
dc.publisherSociety of Petroleum Engineers (SPE)en
dc.relation.urlhttp://www.onepetro.org/doi/10.2118/174559-PAen
dc.rightsArchived with thanks to SPE Journalen
dc.titleSynergizing Crosswell Seismic and Electromagnetic Techniques for Enhancing Reservoir Characterizationen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalSPE Journalen
dc.eprint.versionPost-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorKatterbauer, Klemensen
kaust.authorHoteit, Ibrahimen
kaust.authorSun, Shuyuen
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