Reservoir quality prediction in carbonate reservoirs based on integration of core and petrophysical well data: application to the Pre-Salt Santos Basin
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/9683 |
Resumo: | Tese de mestrado em Geologia (Estratigrafia, Sedimentologia e Paleontologia), apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2012 |
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Reservoir quality prediction in carbonate reservoirs based on integration of core and petrophysical well data: application to the Pre-Salt Santos BasinTeses de mestrado - 2012Tese de mestrado em Geologia (Estratigrafia, Sedimentologia e Paleontologia), apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2012This work aimed at potentially improving reservoir quality prediction in a heterogeneous carbonate reservoir from the Santos Basin pre-salt section, addressing a methodology for core and petrophysical data integration based on data from five wells in this basin. This was developed bearing in mind that one of the greatest challenges in reservoir characterization is to perform an appropriate and geologically sound distribution of the properties that characterize the reservoir in such a way that it allows reservoir engineering studies and dynamic simulations to properly account for the heterogeneities and flow characteristics of each specific reservoir. The results from a thorough study on core data from four wells in the Santos Basin pre-salt, carried on by the Research & Development Project dedicated to the Study of Depositional Environments and Diagenetic Processes in Carbonate Reservoirs (DEDPCR), were used for a geostatistical analysis and further understanding of the depositional environment, cyclicity and complex diagenetic overprints that occur in this area and which ultimately control reservoir quality distribution. Furthermore, core descriptions and laboratory measurements from Routine Petrophysical Core Analysis (RPCA) and Special Core Analysis (SCAL) were used for Reservoir Rock Typing (RRT) and to establish a Hydraulic Flow Unit (HFU) classification based on pore throat size distributions that are considered to control pore transmissibility, and hence, permeability. Core data information was then integrated with wireline log data to generate core calibrated petrophysical information to improve porosity and permeability estimations using Neutron Magnetic Resonance (NMR) logs allowing for the extrapolation of the RRT methodology and HFU identification in uncored wells. Obtained HFUs were confronted with dynamic data from temperature logs, and due to encouraging results this methodology was considered valid and applicable for the study area. The results were incorporated into a static geocelular RRT model for reservoir quality prediction in the study area.Azerêdo, Ana Cristina Costa Neves dos Santos, 1957-Repositório da Universidade de LisboaMartins, Maria Olho Azul2013-12-12T15:06:50Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/9683engmetadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T15:54:21Zoai:repositorio.ul.pt:10451/9683Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:33:49.346918Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Reservoir quality prediction in carbonate reservoirs based on integration of core and petrophysical well data: application to the Pre-Salt Santos Basin |
title |
Reservoir quality prediction in carbonate reservoirs based on integration of core and petrophysical well data: application to the Pre-Salt Santos Basin |
spellingShingle |
Reservoir quality prediction in carbonate reservoirs based on integration of core and petrophysical well data: application to the Pre-Salt Santos Basin Martins, Maria Olho Azul Teses de mestrado - 2012 |
title_short |
Reservoir quality prediction in carbonate reservoirs based on integration of core and petrophysical well data: application to the Pre-Salt Santos Basin |
title_full |
Reservoir quality prediction in carbonate reservoirs based on integration of core and petrophysical well data: application to the Pre-Salt Santos Basin |
title_fullStr |
Reservoir quality prediction in carbonate reservoirs based on integration of core and petrophysical well data: application to the Pre-Salt Santos Basin |
title_full_unstemmed |
Reservoir quality prediction in carbonate reservoirs based on integration of core and petrophysical well data: application to the Pre-Salt Santos Basin |
title_sort |
Reservoir quality prediction in carbonate reservoirs based on integration of core and petrophysical well data: application to the Pre-Salt Santos Basin |
author |
Martins, Maria Olho Azul |
author_facet |
Martins, Maria Olho Azul |
author_role |
author |
dc.contributor.none.fl_str_mv |
Azerêdo, Ana Cristina Costa Neves dos Santos, 1957- Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Martins, Maria Olho Azul |
dc.subject.por.fl_str_mv |
Teses de mestrado - 2012 |
topic |
Teses de mestrado - 2012 |
description |
Tese de mestrado em Geologia (Estratigrafia, Sedimentologia e Paleontologia), apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2012 |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012 2012-01-01T00:00:00Z 2013-12-12T15:06:50Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/9683 |
url |
http://hdl.handle.net/10451/9683 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134232183832576 |