Revisiting EOR Projects in Indonesia through Integrated Study: EOR Screening, Predictive Model, and Optimisation

Handle URI:
http://hdl.handle.net/10754/626049
Title:
Revisiting EOR Projects in Indonesia through Integrated Study: EOR Screening, Predictive Model, and Optimisation
Authors:
Hartono, A. D.; Hakiki, Farizal ( 0000-0001-6279-6321 ) ; Syihab, Z.; Ambia, F.; Yasutra, A.; Sutopo, S.; Efendi, M.; Sitompul, V.; Primasari, I.; Apriandi, R.
Abstract:
EOR preliminary analysis is pivotal to be performed at early stage of assessment in order to elucidate EOR feasibility. This study proposes an in-depth analysis toolkit for EOR preliminary evaluation. The toolkit incorporates EOR screening, predictive, economic, risk analysis and optimisation modules. The screening module introduces algorithms which assimilates statistical and engineering notions into consideration. The United States Department of Energy (U.S. DOE) predictive models were implemented in the predictive module. The economic module is available to assess project attractiveness, while Monte Carlo Simulation is applied to quantify risk and uncertainty of the evaluated project. Optimization scenario of EOR practice can be evaluated using the optimisation module, in which stochastic methods of Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Evolutionary Strategy (ES) were applied in the algorithms. The modules were combined into an integrated package of EOR preliminary assessment. Finally, we utilised the toolkit to evaluate several Indonesian oil fields for EOR evaluation (past projects) and feasibility (future projects). The attempt was able to update the previous consideration regarding EOR attractiveness and open new opportunity for EOR implementation in Indonesia.
KAUST Department:
King Abdullah University of Science and Technology
Citation:
Hartono AD, Hakiki F, Syihab Z, Ambia F, Yasutra A, et al. (2017) Revisiting EOR Projects in Indonesia through Integrated Study: EOR Screening, Predictive Model, and Optimisation. SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. Available: http://dx.doi.org/10.2118/186884-ms.
Publisher:
Society of Petroleum Engineers
Journal:
SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition
Issue Date:
17-Oct-2017
DOI:
10.2118/186884-ms
Type:
Conference Paper
Sponsors:
The financial supports from Pertamina Upstream Technology Center (UTC) is appreciated. Help from Mr. Dede Alam Setiadi for the code development is highly acknowledged. Authors would also thank all former research assistants in this project. This research was carried out while A.D. Hartono and F. Hakiki were still at Institut Teknologi Bandung, Indonesia. All tested data is from published works and no confidentiality issues.
Additional Links:
https://www.onepetro.org/conference-paper/SPE-186884-MS
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorHartono, A. D.en
dc.contributor.authorHakiki, Farizalen
dc.contributor.authorSyihab, Z.en
dc.contributor.authorAmbia, F.en
dc.contributor.authorYasutra, A.en
dc.contributor.authorSutopo, S.en
dc.contributor.authorEfendi, M.en
dc.contributor.authorSitompul, V.en
dc.contributor.authorPrimasari, I.en
dc.contributor.authorApriandi, R.en
dc.date.accessioned2017-10-30T08:39:52Z-
dc.date.available2017-10-30T08:39:52Z-
dc.date.issued2017-10-17en
dc.identifier.citationHartono AD, Hakiki F, Syihab Z, Ambia F, Yasutra A, et al. (2017) Revisiting EOR Projects in Indonesia through Integrated Study: EOR Screening, Predictive Model, and Optimisation. SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. Available: http://dx.doi.org/10.2118/186884-ms.en
dc.identifier.doi10.2118/186884-msen
dc.identifier.urihttp://hdl.handle.net/10754/626049-
dc.description.abstractEOR preliminary analysis is pivotal to be performed at early stage of assessment in order to elucidate EOR feasibility. This study proposes an in-depth analysis toolkit for EOR preliminary evaluation. The toolkit incorporates EOR screening, predictive, economic, risk analysis and optimisation modules. The screening module introduces algorithms which assimilates statistical and engineering notions into consideration. The United States Department of Energy (U.S. DOE) predictive models were implemented in the predictive module. The economic module is available to assess project attractiveness, while Monte Carlo Simulation is applied to quantify risk and uncertainty of the evaluated project. Optimization scenario of EOR practice can be evaluated using the optimisation module, in which stochastic methods of Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Evolutionary Strategy (ES) were applied in the algorithms. The modules were combined into an integrated package of EOR preliminary assessment. Finally, we utilised the toolkit to evaluate several Indonesian oil fields for EOR evaluation (past projects) and feasibility (future projects). The attempt was able to update the previous consideration regarding EOR attractiveness and open new opportunity for EOR implementation in Indonesia.en
dc.description.sponsorshipThe financial supports from Pertamina Upstream Technology Center (UTC) is appreciated. Help from Mr. Dede Alam Setiadi for the code development is highly acknowledged. Authors would also thank all former research assistants in this project. This research was carried out while A.D. Hartono and F. Hakiki were still at Institut Teknologi Bandung, Indonesia. All tested data is from published works and no confidentiality issues.en
dc.publisherSociety of Petroleum Engineersen
dc.relation.urlhttps://www.onepetro.org/conference-paper/SPE-186884-MSen
dc.rightsArchived with thanks to SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibitionen
dc.subjectIntegrated EOR Studyen
dc.subjectPreliminary EORen
dc.subjectEOR Screeningen
dc.subjectPredictive Modelen
dc.subjectEconomic Analysisen
dc.subjectRisk and Uncertainty Evaluationen
dc.subjectOptimizationen
dc.subjectStochastic Methodsen
dc.subjectGenetic Algorithm (GA)en
dc.subjectParticle Swarm Optimization (PSO)en
dc.subjectEvolutionary Strategy (ES)en
dc.titleRevisiting EOR Projects in Indonesia through Integrated Study: EOR Screening, Predictive Model, and Optimisationen
dc.typeConference Paperen
dc.contributor.departmentKing Abdullah University of Science and Technologyen
dc.identifier.journalSPE/IATMI Asia Pacific Oil & Gas Conference and Exhibitionen
dc.eprint.versionPost-printen
dc.contributor.institutionKyushu Universityen
dc.contributor.institutionInstitut Teknologi Bandungen
dc.contributor.institutionSKK Migasen
dc.contributor.institutionPertamina Upstream Technology Centeren
kaust.authorHakiki, Farizalen
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