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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampLamas, Luís Fernando-
dc.contributor.authorunicampBotechia, Vinicius Eduardo-
dc.contributor.authorunicampCorreia, Manuel Gomes-
dc.contributor.authorunicampSchiozer, Denis José-
dc.typeArtigopt_BR
dc.titleInfluence of polymer properties on selection of production strategy for a heavy oil fieldpt_BR
dc.contributor.authorLamas, Luís Fernando-
dc.contributor.authorBotechia, Vinícius Eduardo-
dc.contributor.authorCorreia, Manuel Gomes-
dc.contributor.authorSchiozer, Denis José-
dc.contributor.authorDelshad, Mojdeh-
dc.subjectPolímerospt_BR
dc.subjectReservatóriospt_BR
dc.subject.otherlanguagePolymerspt_BR
dc.subject.otherlanguageReservoirspt_BR
dc.description.abstractPolymer flooding is an enhanced oil recovery method (EOR) where water-soluble polymer is added to the injection brine. This increases brine viscosity and reduces water mobility, aiming to increase volumetric sweep and thus oil recovery. Selection and development of a production strategy for oil field is a complex task. Polymer properties bring additional complexity to this process and it is important that each of them is properly treated and considered. This paper discusses the selection of production strategy considering different approaches: (1) water flooding, (2) ideal polymer (only viscosifying effect of polymer) and (3) polymer flooding, including separately four of the most influencing polymer properties i.e. retention, viscoelasticity, salinity and degradation. The analysis is extended to a probabilistic point of view, where scenarios were generated combining geological and polymer uncertainties. Selected production strategies are compared to quantify the impact of each property on field indicators. Comparisons were made in terms of net present value (NPV), produced oil, injected and produced water, oil recovery factor and polymer mass. Two different situations were considered: (1) to optimize considering each property since beginning (design + control variables, meaning development, and management stages) and (2) considering design variables (development stage) for ideal polymer, optimizing only control variables (management stage) for each property. The methodology is applied to a synthetic field, based on characteristics of an offshore field with high permeability (∼1 000 mD) and containing heavy and viscous oil (∼100 cP, 14° API). Ranking the properties according to overall impact on the project NPV, it was found the impact of each variable in a descending order: degradation, salinity, viscoelasticity, and retention. Water and ideal polymer strategies limit indicators results, giving an idea of the performance of strategies. Considering the key polymer properties from the beginning of optimization process resulted in similar values in terms of NPV when compared with strategies that considered ideal polymer in the selection of project variables. Risk curves show that conclusions can be extended to a probabilistic point of view. The results allow a comprehensive understanding of the influence of each polymer property on selection of production strategy considering uncertainties. The results also show that it is possible to select a good strategy using Ideal polymer model. Finally, results show that strategies selected for water and for ideal polymer model act as lower and upper limits of performance for the field, giving valuable information to the decision maker, even before accurate data about polymer is availablept_BR
dc.relation.ispartofJournal of petroleum science and engineeringpt_BR
dc.relation.ispartofabbreviationJ. pet. sci. eng.pt_BR
dc.publisher.cityAmsterdampt_BR
dc.publisher.countryPaíses Baixospt_BR
dc.publisherElsevierpt_BR
dc.date.issued2018-
dc.date.monthofcirculationApr.pt_BR
dc.language.isoengpt_BR
dc.description.volume163pt_BR
dc.description.firstpage110pt_BR
dc.description.lastpage118pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0920-4105pt_BR
dc.identifier.eissn1873-4715pt_BR
dc.identifier.doi10.1016/j.petrol.2017.12.074pt_BR
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0920410517310318pt_BR
dc.description.sponsorshipCOORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPESpt_BR
dc.description.sponsordocumentnumberBEX 10004/14-9pt_BR
dc.date.available2020-07-20T13:58:47Z-
dc.date.accessioned2020-07-20T13:58:47Z-
dc.description.provenanceSubmitted by Susilene Barbosa da Silva (susilene@unicamp.br) on 2020-07-20T13:58:47Z No. of bitstreams: 0. Added 1 bitstream(s) on 2021-01-07T20:41:01Z : No. of bitstreams: 1 000426417400011.pdf: 2573573 bytes, checksum: f3a39405e055fa9088d24f4488a8aa3c (MD5) Bitstreams deleted on 2021-01-08T14:10:58Z: 000426417400011.pdf,. Added 1 bitstream(s) on 2021-01-08T14:14:35Z : No. of bitstreams: 1 000426417400011.pdf: 2573573 bytes, checksum: f3a39405e055fa9088d24f4488a8aa3c (MD5) Bitstreams deleted on 2021-01-13T13:27:32Z: 000426417400011.pdf,. Added 1 bitstream(s) on 2021-01-13T13:30:28Z : No. of bitstreams: 1 000426417400011.pdf: 2573573 bytes, checksum: f3a39405e055fa9088d24f4488a8aa3c (MD5)en
dc.description.provenanceMade available in DSpace on 2020-07-20T13:58:47Z (GMT). No. of bitstreams: 0 Previous issue date: 2018en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/345735-
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.departmentDepartamento de Engenharia do Petróleopt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.subject.keywordProduction strategy selectionpt_BR
dc.subject.keywordChemical enhanced oil recoverypt_BR
dc.identifier.source000426417400011pt_BR
dc.creator.orcidSem informaçãopt_BR
dc.creator.orcidSem informaçãopt_BR
dc.creator.orcidSem informaçãopt_BR
dc.creator.orcid0000-0001-6702-104Xpt_BR
dc.type.formArtigopt_BR
dc.description.sponsorNoteThe authors would like to thank Petrobras, Statoil and FCMG. Also would like to thank CAPES Foundation for financial support under the process BEX 10004/14-9, University of Campinas – UNICAMP and the Center of Petroleum Studies – CEPETRO for permission to publish this article and provide the support to accomplish this work. We also would like to acknowledge CMG for the software support. This work was performed with support from CENAPAD/SP. We would like to thank ANP ("Compromisso de Investimentos com Pesquisa e Desenvolvimento")pt_BR
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