Enhanced heavy oil recovery for carbonate reservoirs integrating cross-well seismic–a synthetic Wafra case study

Handle URI:
http://hdl.handle.net/10754/561087
Title:
Enhanced heavy oil recovery for carbonate reservoirs integrating cross-well seismic–a synthetic Wafra case study
Authors:
Katterbauer, Klemens ( 0000-0003-0931-8843 ) ; Arango, Santiago; Sun, Shuyu ( 0000-0002-3078-864X ) ; Hoteit, Ibrahim ( 0000-0002-3751-4393 )
Abstract:
Heavy oil recovery has been a major focus in the oil and gas industry to counter the rapid depletion of conventional reservoirs. Various techniques for enhancing the recovery of heavy oil were developed and pilot-tested, with steam drive techniques proven in most circumstances to be successful and economically viable. The Wafra field in Saudi Arabia is at the forefront of utilizing steam recovery for carbonate heavy oil reservoirs in the Middle East. With growing injection volumes, tracking the steam evolution within the reservoir and characterizing the formation, especially in terms of its porosity and permeability heterogeneity, are key objectives for sound economic decisions and enhanced production forecasts. We have developed an integrated reservoir history matching framework using ensemble based techniques incorporating seismic data for enhancing reservoir characterization and improving history matches. Examining the performance on a synthetic field study of the Wafra field, we could demonstrate the improved characterization of the reservoir formation, determining more accurately the position of the steam chambers and obtaining more reliable forecasts of the reservoir’s recovery potential. History matching results are fairly robust even for noise levels up to 30%. The results demonstrate the potential of the integration of full-waveform seismic data for steam drive reservoir characterization and increased recovery efficiency.
KAUST Department:
Earth Science and Engineering Program
Citation:
Enhanced heavy oil recovery for carbonate reservoirs integrating cross-well seismic–a synthetic Wafra case study 2015 Journal of Petroleum Science and Engineering
Publisher:
Elsevier BV
Journal:
Journal of Petroleum Science and Engineering
Issue Date:
14-Jul-2015
DOI:
10.1016/j.petrol.2015.07.010
Type:
Article
ISSN:
09204105
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S0920410515300577
Appears in Collections:
Articles; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorKatterbauer, Klemensen
dc.contributor.authorArango, Santiagoen
dc.contributor.authorSun, Shuyuen
dc.contributor.authorHoteit, Ibrahimen
dc.date.accessioned2015-07-27T12:32:15Zen
dc.date.available2015-07-27T12:32:15Zen
dc.date.issued2015-07-14en
dc.identifier.citationEnhanced heavy oil recovery for carbonate reservoirs integrating cross-well seismic–a synthetic Wafra case study 2015 Journal of Petroleum Science and Engineeringen
dc.identifier.issn09204105en
dc.identifier.doi10.1016/j.petrol.2015.07.010en
dc.identifier.urihttp://hdl.handle.net/10754/561087en
dc.description.abstractHeavy oil recovery has been a major focus in the oil and gas industry to counter the rapid depletion of conventional reservoirs. Various techniques for enhancing the recovery of heavy oil were developed and pilot-tested, with steam drive techniques proven in most circumstances to be successful and economically viable. The Wafra field in Saudi Arabia is at the forefront of utilizing steam recovery for carbonate heavy oil reservoirs in the Middle East. With growing injection volumes, tracking the steam evolution within the reservoir and characterizing the formation, especially in terms of its porosity and permeability heterogeneity, are key objectives for sound economic decisions and enhanced production forecasts. We have developed an integrated reservoir history matching framework using ensemble based techniques incorporating seismic data for enhancing reservoir characterization and improving history matches. Examining the performance on a synthetic field study of the Wafra field, we could demonstrate the improved characterization of the reservoir formation, determining more accurately the position of the steam chambers and obtaining more reliable forecasts of the reservoir’s recovery potential. History matching results are fairly robust even for noise levels up to 30%. The results demonstrate the potential of the integration of full-waveform seismic data for steam drive reservoir characterization and increased recovery efficiency.en
dc.publisherElsevier BVen
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0920410515300577en
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Journal of Petroleum Science and Engineering. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Petroleum Science and Engineering, 14 July 2015. DOI: 10.1016/j.petrol.2015.07.010en
dc.subjectHeavy Oilen
dc.subjectSteam Driveen
dc.subjectHistory matchingen
dc.subjectFull Waveform Seismicen
dc.subjectEnsemble Kalman Filteren
dc.titleEnhanced heavy oil recovery for carbonate reservoirs integrating cross-well seismic–a synthetic Wafra case studyen
dc.typeArticleen
dc.contributor.departmentEarth Science and Engineering Programen
dc.identifier.journalJournal of Petroleum Science and Engineeringen
dc.eprint.versionPost-printen
kaust.authorKatterbauer, Klemensen
kaust.authorSun, Shuyuen
kaust.authorHoteit, Ibrahimen
kaust.authorArango, Santiagoen
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