Multi-data reservoir history matching of crosswell seismic, electromagnetics and gravimetry data

Handle URI:
http://hdl.handle.net/10754/564869
Title:
Multi-data reservoir history matching of crosswell seismic, electromagnetics and gravimetry data
Authors:
Katterbauer, Klemens
Abstract:
Reservoir engineering has become of prime importance for oil and gas field development projects. With rising complexity, reservoir simulations and history matching have become critical for fine-tuning reservoir production strategies, improved subsurface formation knowledge and forecasting remaining reserves. The sparse spatial sampling of production data has posed a significant challenge for reducing uncertainty of subsurface parameters. Seismic, electromagnetic and gravimetry techniques have found widespread application in enhancing exploration for oil and gas and monitor reservoirs, however these data have been interpreted and analyzed mostly separately rarely utilizing the synergy effects that may be attainable. With the incorporation of multiple data into the reservoir history matching process there has been the request knowing the impact each incorporated observation has on the estimation. We present multi-data ensemble-based history matching framework for the incorporation of multiple data such as seismic, electromagnetics, and gravimetry for improved reservoir history matching and provide an adjointfree ensemble sensitivity method to compute the impact of each observation on the estimated reservoir parameters. The incorporation of all data sets displays the advantages multiple data may provide for enhancing reservoir understanding and matching, with the impact of each data set on the matching improvement being determined by the ensemble sensitivity method.
KAUST Department:
Earth Science and Engineering Program
Publisher:
EAGE Publications
Journal:
Proceedings 76th EAGE Conference and Exhibition 2014
Conference/Event name:
76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy - Incorporating SPE EUROPEC 2014
Issue Date:
2014
DOI:
10.3997/2214-4609.20141670
Type:
Conference Paper
ISBN:
9781632666949
Appears in Collections:
Conference Papers; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorKatterbauer, Klemensen
dc.date.accessioned2015-08-04T07:23:38Zen
dc.date.available2015-08-04T07:23:38Zen
dc.date.issued2014en
dc.identifier.isbn9781632666949en
dc.identifier.doi10.3997/2214-4609.20141670en
dc.identifier.urihttp://hdl.handle.net/10754/564869en
dc.description.abstractReservoir engineering has become of prime importance for oil and gas field development projects. With rising complexity, reservoir simulations and history matching have become critical for fine-tuning reservoir production strategies, improved subsurface formation knowledge and forecasting remaining reserves. The sparse spatial sampling of production data has posed a significant challenge for reducing uncertainty of subsurface parameters. Seismic, electromagnetic and gravimetry techniques have found widespread application in enhancing exploration for oil and gas and monitor reservoirs, however these data have been interpreted and analyzed mostly separately rarely utilizing the synergy effects that may be attainable. With the incorporation of multiple data into the reservoir history matching process there has been the request knowing the impact each incorporated observation has on the estimation. We present multi-data ensemble-based history matching framework for the incorporation of multiple data such as seismic, electromagnetics, and gravimetry for improved reservoir history matching and provide an adjointfree ensemble sensitivity method to compute the impact of each observation on the estimated reservoir parameters. The incorporation of all data sets displays the advantages multiple data may provide for enhancing reservoir understanding and matching, with the impact of each data set on the matching improvement being determined by the ensemble sensitivity method.en
dc.publisherEAGE Publicationsen
dc.titleMulti-data reservoir history matching of crosswell seismic, electromagnetics and gravimetry dataen
dc.typeConference Paperen
dc.contributor.departmentEarth Science and Engineering Programen
dc.identifier.journalProceedings 76th EAGE Conference and Exhibition 2014en
dc.conference.date16 June 2014 through 19 June 2014en
dc.conference.name76th European Association of Geoscientists and Engineers Conference and Exhibition 2014: Experience the Energy - Incorporating SPE EUROPEC 2014en
dc.conference.locationAmsterdamen
kaust.authorKatterbauer, Klemensen
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