Process-based upscaling of reactive flow in geological formations
•Reactive flow modelling concerns fast, slow and intermediate reaction rates.•Reactions can be categorized using the Peclet and Damkohler numbers.•Assigning the reaction to a category depending on temperature, pH and salinity. Recently, there is an increased interest in reactive flow in porous media...
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creator | Meulenbroek, Bernard Farajzadeh, Rouhi Bruining, Hans |
description | •Reactive flow modelling concerns fast, slow and intermediate reaction rates.•Reactions can be categorized using the Peclet and Damkohler numbers.•Assigning the reaction to a category depending on temperature, pH and salinity.
Recently, there is an increased interest in reactive flow in porous media, in groundwater, agricultural and fuel recovery applications. Reactive flow modeling involves vastly different reaction rates, i.e., differing by many orders of magnitude. Solving the ensuing model equations can be computationally intensive. Categorizing reactions according to their speeds makes it possible to greatly simplify the relevant model equations. Indeed some reactions proceed so slow that they can be disregarded. Other reactions occur so fast that they are well described by thermodynamic equilibrium in the time and spatial region of interest. At intermediate rates kinetics needs to be taken into account. In this paper, we categorize selected reactions as slow, fast or intermediate. We model 2D radially symmetric reactive flow with a reaction-convection-diffusion equation. We show that we can subdivide the PeDaII phasespace in three regions. Region I (slow reaction); reaction can be ignored, region II (intermediate reaction); initially kinetics need to be taken into account, region III (fast reaction); all reaction takes places in a very narrow region around the injection point. We investigate these aspects for a few specific examples. We compute the location in phase space of a few selected minerals depending on salinity and temperature. We note that the conditions, e.g., salinity and temperature may be essential for assigning the reaction to the correct region in phase space. The methodology described can be applied to any mineral precipitation/decomposition problem and consequently greatly simplifies reactive flow modeling in porous media. |
doi_str_mv | 10.1016/j.ijheatmasstransfer.2020.119969 |
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Recently, there is an increased interest in reactive flow in porous media, in groundwater, agricultural and fuel recovery applications. Reactive flow modeling involves vastly different reaction rates, i.e., differing by many orders of magnitude. Solving the ensuing model equations can be computationally intensive. Categorizing reactions according to their speeds makes it possible to greatly simplify the relevant model equations. Indeed some reactions proceed so slow that they can be disregarded. Other reactions occur so fast that they are well described by thermodynamic equilibrium in the time and spatial region of interest. At intermediate rates kinetics needs to be taken into account. In this paper, we categorize selected reactions as slow, fast or intermediate. We model 2D radially symmetric reactive flow with a reaction-convection-diffusion equation. We show that we can subdivide the PeDaII phasespace in three regions. Region I (slow reaction); reaction can be ignored, region II (intermediate reaction); initially kinetics need to be taken into account, region III (fast reaction); all reaction takes places in a very narrow region around the injection point. We investigate these aspects for a few specific examples. We compute the location in phase space of a few selected minerals depending on salinity and temperature. We note that the conditions, e.g., salinity and temperature may be essential for assigning the reaction to the correct region in phase space. The methodology described can be applied to any mineral precipitation/decomposition problem and consequently greatly simplifies reactive flow modeling in porous media.</description><identifier>ISSN: 0017-9310</identifier><identifier>EISSN: 1879-2189</identifier><identifier>DOI: 10.1016/j.ijheatmasstransfer.2020.119969</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Convection-diffusion equation ; Decomposition reactions ; Groundwater ; Mathematical models ; Modelling ; Peclet/Damkohler number phasespace ; Porous media ; Reaction kinetics ; Reactive flow modeling ; Reservoir conditions ; Salinity ; Temperature/pH/salinity dependence ; Thermodynamic equilibrium ; Two dimensional flow ; Two dimensional models</subject><ispartof>International journal of heat and mass transfer, 2020-08, Vol.157, p.119969, Article 119969</ispartof><rights>2020 The Authors</rights><rights>Copyright Elsevier BV Aug 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-fe658e243e2cde21a19f13ec7768b88296bf04fa2d1bd1ffb96320b144f27d1c3</citedby><cites>FETCH-LOGICAL-c428t-fe658e243e2cde21a19f13ec7768b88296bf04fa2d1bd1ffb96320b144f27d1c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0017931019333770$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids></links><search><creatorcontrib>Meulenbroek, Bernard</creatorcontrib><creatorcontrib>Farajzadeh, Rouhi</creatorcontrib><creatorcontrib>Bruining, Hans</creatorcontrib><title>Process-based upscaling of reactive flow in geological formations</title><title>International journal of heat and mass transfer</title><description>•Reactive flow modelling concerns fast, slow and intermediate reaction rates.•Reactions can be categorized using the Peclet and Damkohler numbers.•Assigning the reaction to a category depending on temperature, pH and salinity.
Recently, there is an increased interest in reactive flow in porous media, in groundwater, agricultural and fuel recovery applications. Reactive flow modeling involves vastly different reaction rates, i.e., differing by many orders of magnitude. Solving the ensuing model equations can be computationally intensive. Categorizing reactions according to their speeds makes it possible to greatly simplify the relevant model equations. Indeed some reactions proceed so slow that they can be disregarded. Other reactions occur so fast that they are well described by thermodynamic equilibrium in the time and spatial region of interest. At intermediate rates kinetics needs to be taken into account. In this paper, we categorize selected reactions as slow, fast or intermediate. We model 2D radially symmetric reactive flow with a reaction-convection-diffusion equation. We show that we can subdivide the PeDaII phasespace in three regions. Region I (slow reaction); reaction can be ignored, region II (intermediate reaction); initially kinetics need to be taken into account, region III (fast reaction); all reaction takes places in a very narrow region around the injection point. We investigate these aspects for a few specific examples. We compute the location in phase space of a few selected minerals depending on salinity and temperature. We note that the conditions, e.g., salinity and temperature may be essential for assigning the reaction to the correct region in phase space. The methodology described can be applied to any mineral precipitation/decomposition problem and consequently greatly simplifies reactive flow modeling in porous media.</description><subject>Convection-diffusion equation</subject><subject>Decomposition reactions</subject><subject>Groundwater</subject><subject>Mathematical models</subject><subject>Modelling</subject><subject>Peclet/Damkohler number phasespace</subject><subject>Porous media</subject><subject>Reaction kinetics</subject><subject>Reactive flow modeling</subject><subject>Reservoir conditions</subject><subject>Salinity</subject><subject>Temperature/pH/salinity dependence</subject><subject>Thermodynamic equilibrium</subject><subject>Two dimensional flow</subject><subject>Two dimensional models</subject><issn>0017-9310</issn><issn>1879-2189</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqNkLFOwzAQhi0EEqXwDpFYWFJ8jpvEG1UFBVQJBpgtxzkXR2lcfGkRb0-qsLEwnU7_r-90H2M3wGfAIb9tZr75QNNvDVEfTUcO40xwMcSgVK5O2ATKQqUCSnXKJpxDkaoM-Dm7IGqOK5f5hC1eY7BIlFaGsE72O7Km9d0mCS6JaGzvD5i4Nnwlvks2GNqw8UMjcSFuTe9DR5fszJmW8Op3Ttn7w_3b8jFdv6yelot1aqUo-9RhPi9RyAyFrVGAAeUgQ1sUeVmVpVB55bh0RtRQ1eBcpfJM8AqkdKKowWZTdj1ydzF87pF63YR97IaTWkgJ8yKDQg6tu7FlYyCK6PQu-q2J3xq4PorTjf4rTh_F6VHcgHgeETh8c_BDStZjZ7H2EW2v6-D_D_sBCxmD5w</recordid><startdate>202008</startdate><enddate>202008</enddate><creator>Meulenbroek, Bernard</creator><creator>Farajzadeh, Rouhi</creator><creator>Bruining, Hans</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>202008</creationdate><title>Process-based upscaling of reactive flow in geological formations</title><author>Meulenbroek, Bernard ; Farajzadeh, Rouhi ; Bruining, Hans</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c428t-fe658e243e2cde21a19f13ec7768b88296bf04fa2d1bd1ffb96320b144f27d1c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Convection-diffusion equation</topic><topic>Decomposition reactions</topic><topic>Groundwater</topic><topic>Mathematical models</topic><topic>Modelling</topic><topic>Peclet/Damkohler number phasespace</topic><topic>Porous media</topic><topic>Reaction kinetics</topic><topic>Reactive flow modeling</topic><topic>Reservoir conditions</topic><topic>Salinity</topic><topic>Temperature/pH/salinity dependence</topic><topic>Thermodynamic equilibrium</topic><topic>Two dimensional flow</topic><topic>Two dimensional models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meulenbroek, Bernard</creatorcontrib><creatorcontrib>Farajzadeh, Rouhi</creatorcontrib><creatorcontrib>Bruining, Hans</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International journal of heat and mass transfer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meulenbroek, Bernard</au><au>Farajzadeh, Rouhi</au><au>Bruining, Hans</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Process-based upscaling of reactive flow in geological formations</atitle><jtitle>International journal of heat and mass transfer</jtitle><date>2020-08</date><risdate>2020</risdate><volume>157</volume><spage>119969</spage><pages>119969-</pages><artnum>119969</artnum><issn>0017-9310</issn><eissn>1879-2189</eissn><abstract>•Reactive flow modelling concerns fast, slow and intermediate reaction rates.•Reactions can be categorized using the Peclet and Damkohler numbers.•Assigning the reaction to a category depending on temperature, pH and salinity.
Recently, there is an increased interest in reactive flow in porous media, in groundwater, agricultural and fuel recovery applications. Reactive flow modeling involves vastly different reaction rates, i.e., differing by many orders of magnitude. Solving the ensuing model equations can be computationally intensive. Categorizing reactions according to their speeds makes it possible to greatly simplify the relevant model equations. Indeed some reactions proceed so slow that they can be disregarded. Other reactions occur so fast that they are well described by thermodynamic equilibrium in the time and spatial region of interest. At intermediate rates kinetics needs to be taken into account. In this paper, we categorize selected reactions as slow, fast or intermediate. We model 2D radially symmetric reactive flow with a reaction-convection-diffusion equation. We show that we can subdivide the PeDaII phasespace in three regions. Region I (slow reaction); reaction can be ignored, region II (intermediate reaction); initially kinetics need to be taken into account, region III (fast reaction); all reaction takes places in a very narrow region around the injection point. We investigate these aspects for a few specific examples. We compute the location in phase space of a few selected minerals depending on salinity and temperature. We note that the conditions, e.g., salinity and temperature may be essential for assigning the reaction to the correct region in phase space. The methodology described can be applied to any mineral precipitation/decomposition problem and consequently greatly simplifies reactive flow modeling in porous media.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ijheatmasstransfer.2020.119969</doi><oa>free_for_read</oa></addata></record> |
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subjects | Convection-diffusion equation Decomposition reactions Groundwater Mathematical models Modelling Peclet/Damkohler number phasespace Porous media Reaction kinetics Reactive flow modeling Reservoir conditions Salinity Temperature/pH/salinity dependence Thermodynamic equilibrium Two dimensional flow Two dimensional models |
title | Process-based upscaling of reactive flow in geological formations |
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