Reservoir quality prediction in carbonate reservoirs based on integration of core and petrophysical well data: application to the Pre-Salt Santos Basin

Detalhes bibliográficos
Autor(a) principal: Martins, Maria Olho Azul
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
id RCAP_3d5d974926c0b1bb0b8994ba35cad4d1
oai_identifier_str oai:repositorio.ul.pt:10451/9683
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling 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
repository.mail.fl_str_mv
_version_ 1799134232183832576