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Mechanistic modeling of hybrid low salinity polymer flooding: Role of geochemistry
Low salinity polymer (LSP) based enhanced oil recovery (EOR) technique is getting more attention due to its potential of improving both displacement and sweep efficiencies. Modeling LSP flooding is challenging due to the complicated physical processes and the sensitivity of polymers to brine salinit...
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Published in: | Journal of petroleum science & engineering 2022-03, Vol.210, p.110013, Article 110013 |
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description | Low salinity polymer (LSP) based enhanced oil recovery (EOR) technique is getting more attention due to its potential of improving both displacement and sweep efficiencies. Modeling LSP flooding is challenging due to the complicated physical processes and the sensitivity of polymers to brine salinity. In this study, a coupled numerical model has been implemented to allow investigating the polymer-brine-rock geochemical interactions associated with LSP flooding along with the flow dynamics. MATLAB Reservoir Simulation Toolbox (MRST) was coupled with the geochemical software IPhreeqc, which is the interface module of Phreeqc (i.e., pH-Redox-Equilibrium in C programming language). The effects of polymer were captured by considering Todd–Longstaff mixing model, inaccessible pore volume, permeability reduction, polymer adsorption as well as salinity and shear rate effects on polymer viscosity. Regarding geochemistry, the presence of polymer in the aqueous phase was considered by adding a new solution specie and related chemical reactions to Phreeqc database files. Thus, allowing for modeling the geochemical interactions related to the presence of polymer. Coupling the two simulators was successfully performed, verified, and validated through several case studies. The coupled MRST–IPhreeqc simulator allows for modeling a wide variety of geochemical reactions including aqueous, mineral precipitation/dissolution, and ion exchange reactions. Capturing these reactions allows for real time tracking of the aqueous phase salinity and its effect on polymer rheological properties. The coupled simulator was verified against Phreeqc for a realistic reactive transport scenario. Furthermore, the coupled simulator was validated through history matching a single-phase LSP coreflood from the literature. This paper provides an insight into the geochemical interactions between partially hydrolyzed polyacrylamide (HPAM) and aqueous solution chemistry (salinity and hardness), and their related effect on polymer viscosity. This work is also considered as a base for future two-phase polymer solution and oil interactions, and their related effect on oil recovery.
•One of the few papers on hybrid modeling of Polymer & Low Salinity Water injection.•Successful coupling of MRST and IPhreeqc was performed, verified, and validated.•The coupled simulator allows for modeling a wide variety of geochemical reactions.•Capturing these reactions permits for real time tracking of low salinity polym |
doi_str_mv | 10.1016/j.petrol.2021.110013 |
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•One of the few papers on hybrid modeling of Polymer & Low Salinity Water injection.•Successful coupling of MRST and IPhreeqc was performed, verified, and validated.•The coupled simulator allows for modeling a wide variety of geochemical reactions.•Capturing these reactions permits for real time tracking of low salinity polymer (LSP).•This work is considered as a base for future two-phase polymer solution & oil interactions.</description><identifier>ISSN: 0920-4105</identifier><identifier>EISSN: 1873-4715</identifier><identifier>DOI: 10.1016/j.petrol.2021.110013</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Coupled MRST–IPhreeqc simulator ; Enhanced oil recovery (EOR) ; Geochemical modeling ; Low salinity polymer (LSP) ; MATLAB reservoir simulation toolbox (MRST) ; Phreeqc database</subject><ispartof>Journal of petroleum science & engineering, 2022-03, Vol.210, p.110013, Article 110013</ispartof><rights>2021 Elsevier B.V.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c306t-67c1532882a251f8cda06ef9ceebf0aecdda173717bf0aab6fb7786eced6b9823</citedby><cites>FETCH-LOGICAL-c306t-67c1532882a251f8cda06ef9ceebf0aecdda173717bf0aab6fb7786eced6b9823</cites><orcidid>0000-0003-1072-4507 ; 0000-0003-2055-1398</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Al-Shalabi, Emad W.</creatorcontrib><creatorcontrib>Alameri, Waleed</creatorcontrib><creatorcontrib>Hassan, Anas M.</creatorcontrib><title>Mechanistic modeling of hybrid low salinity polymer flooding: Role of geochemistry</title><title>Journal of petroleum science & engineering</title><description>Low salinity polymer (LSP) based enhanced oil recovery (EOR) technique is getting more attention due to its potential of improving both displacement and sweep efficiencies. Modeling LSP flooding is challenging due to the complicated physical processes and the sensitivity of polymers to brine salinity. In this study, a coupled numerical model has been implemented to allow investigating the polymer-brine-rock geochemical interactions associated with LSP flooding along with the flow dynamics. MATLAB Reservoir Simulation Toolbox (MRST) was coupled with the geochemical software IPhreeqc, which is the interface module of Phreeqc (i.e., pH-Redox-Equilibrium in C programming language). The effects of polymer were captured by considering Todd–Longstaff mixing model, inaccessible pore volume, permeability reduction, polymer adsorption as well as salinity and shear rate effects on polymer viscosity. Regarding geochemistry, the presence of polymer in the aqueous phase was considered by adding a new solution specie and related chemical reactions to Phreeqc database files. Thus, allowing for modeling the geochemical interactions related to the presence of polymer. Coupling the two simulators was successfully performed, verified, and validated through several case studies. The coupled MRST–IPhreeqc simulator allows for modeling a wide variety of geochemical reactions including aqueous, mineral precipitation/dissolution, and ion exchange reactions. Capturing these reactions allows for real time tracking of the aqueous phase salinity and its effect on polymer rheological properties. The coupled simulator was verified against Phreeqc for a realistic reactive transport scenario. Furthermore, the coupled simulator was validated through history matching a single-phase LSP coreflood from the literature. This paper provides an insight into the geochemical interactions between partially hydrolyzed polyacrylamide (HPAM) and aqueous solution chemistry (salinity and hardness), and their related effect on polymer viscosity. This work is also considered as a base for future two-phase polymer solution and oil interactions, and their related effect on oil recovery.
•One of the few papers on hybrid modeling of Polymer & Low Salinity Water injection.•Successful coupling of MRST and IPhreeqc was performed, verified, and validated.•The coupled simulator allows for modeling a wide variety of geochemical reactions.•Capturing these reactions permits for real time tracking of low salinity polymer (LSP).•This work is considered as a base for future two-phase polymer solution & oil interactions.</description><subject>Coupled MRST–IPhreeqc simulator</subject><subject>Enhanced oil recovery (EOR)</subject><subject>Geochemical modeling</subject><subject>Low salinity polymer (LSP)</subject><subject>MATLAB reservoir simulation toolbox (MRST)</subject><subject>Phreeqc database</subject><issn>0920-4105</issn><issn>1873-4715</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kN1KxDAQRoMouK6-gRd5gdZJ0yZdLwRZ_IMVYdHrkCaT3SztZkmK0re3pV57NczwfYfhEHLLIGfAxN0hP2EfQ5sXULCcMQDGz8iC1ZJnpWTVOVnAqoCsZFBdkquUDgDABZcLsn1Hs9dHn3pvaBcstv64o8HR_dBEb2kbfmjS49H3Az2FdugwUteGYMfcPd2GFqf0DoPZYzdi4nBNLpxuE978zSX5en76XL9mm4-Xt_XjJjMcRJ8JaVjFi7oudFExVxurQaBbGcTGgUZjrWaSSyanVTfCNVLWAg1a0azqgi9JOXNNDClFdOoUfafjoBioyYs6qNmLmryo2ctYe5hrOP727TGqZDweR6yPaHplg_8f8As9InAv</recordid><startdate>202203</startdate><enddate>202203</enddate><creator>Al-Shalabi, Emad W.</creator><creator>Alameri, Waleed</creator><creator>Hassan, Anas M.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-1072-4507</orcidid><orcidid>https://orcid.org/0000-0003-2055-1398</orcidid></search><sort><creationdate>202203</creationdate><title>Mechanistic modeling of hybrid low salinity polymer flooding: Role of geochemistry</title><author>Al-Shalabi, Emad W. ; Alameri, Waleed ; Hassan, Anas M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c306t-67c1532882a251f8cda06ef9ceebf0aecdda173717bf0aab6fb7786eced6b9823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Coupled MRST–IPhreeqc simulator</topic><topic>Enhanced oil recovery (EOR)</topic><topic>Geochemical modeling</topic><topic>Low salinity polymer (LSP)</topic><topic>MATLAB reservoir simulation toolbox (MRST)</topic><topic>Phreeqc database</topic><toplevel>online_resources</toplevel><creatorcontrib>Al-Shalabi, Emad W.</creatorcontrib><creatorcontrib>Alameri, Waleed</creatorcontrib><creatorcontrib>Hassan, Anas M.</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of petroleum science & engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Al-Shalabi, Emad W.</au><au>Alameri, Waleed</au><au>Hassan, Anas M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mechanistic modeling of hybrid low salinity polymer flooding: Role of geochemistry</atitle><jtitle>Journal of petroleum science & engineering</jtitle><date>2022-03</date><risdate>2022</risdate><volume>210</volume><spage>110013</spage><pages>110013-</pages><artnum>110013</artnum><issn>0920-4105</issn><eissn>1873-4715</eissn><abstract>Low salinity polymer (LSP) based enhanced oil recovery (EOR) technique is getting more attention due to its potential of improving both displacement and sweep efficiencies. Modeling LSP flooding is challenging due to the complicated physical processes and the sensitivity of polymers to brine salinity. In this study, a coupled numerical model has been implemented to allow investigating the polymer-brine-rock geochemical interactions associated with LSP flooding along with the flow dynamics. MATLAB Reservoir Simulation Toolbox (MRST) was coupled with the geochemical software IPhreeqc, which is the interface module of Phreeqc (i.e., pH-Redox-Equilibrium in C programming language). The effects of polymer were captured by considering Todd–Longstaff mixing model, inaccessible pore volume, permeability reduction, polymer adsorption as well as salinity and shear rate effects on polymer viscosity. Regarding geochemistry, the presence of polymer in the aqueous phase was considered by adding a new solution specie and related chemical reactions to Phreeqc database files. Thus, allowing for modeling the geochemical interactions related to the presence of polymer. Coupling the two simulators was successfully performed, verified, and validated through several case studies. The coupled MRST–IPhreeqc simulator allows for modeling a wide variety of geochemical reactions including aqueous, mineral precipitation/dissolution, and ion exchange reactions. Capturing these reactions allows for real time tracking of the aqueous phase salinity and its effect on polymer rheological properties. The coupled simulator was verified against Phreeqc for a realistic reactive transport scenario. Furthermore, the coupled simulator was validated through history matching a single-phase LSP coreflood from the literature. This paper provides an insight into the geochemical interactions between partially hydrolyzed polyacrylamide (HPAM) and aqueous solution chemistry (salinity and hardness), and their related effect on polymer viscosity. This work is also considered as a base for future two-phase polymer solution and oil interactions, and their related effect on oil recovery.
•One of the few papers on hybrid modeling of Polymer & Low Salinity Water injection.•Successful coupling of MRST and IPhreeqc was performed, verified, and validated.•The coupled simulator allows for modeling a wide variety of geochemical reactions.•Capturing these reactions permits for real time tracking of low salinity polymer (LSP).•This work is considered as a base for future two-phase polymer solution & oil interactions.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.petrol.2021.110013</doi><orcidid>https://orcid.org/0000-0003-1072-4507</orcidid><orcidid>https://orcid.org/0000-0003-2055-1398</orcidid></addata></record> |
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subjects | Coupled MRST–IPhreeqc simulator Enhanced oil recovery (EOR) Geochemical modeling Low salinity polymer (LSP) MATLAB reservoir simulation toolbox (MRST) Phreeqc database |
title | Mechanistic modeling of hybrid low salinity polymer flooding: Role of geochemistry |
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