Geochemical equilibrium determination using an artificial neural network in compositional reservoir flow simulation
<p dir="ltr">The fluid injection in sedimentary formations may generate geochemical interactions between the fluids and the rock minerals, e.g., CO<sub>2</sub> storage in a depleted reservoir or a saline aquifer. To simulate such reactive transfer processes, geochemical e...
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| مؤلفون آخرون: | |
| منشور في: |
2019
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إضافة وسم
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| _version_ | 1864513567914459136 |
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| author | Dominique Guérillot (14150973) |
| author2 | Jérémie Bruyelle (14158887) |
| author2_role | author |
| author_facet | Dominique Guérillot (14150973) Jérémie Bruyelle (14158887) |
| author_role | author |
| dc.creator.none.fl_str_mv | Dominique Guérillot (14150973) Jérémie Bruyelle (14158887) |
| dc.date.none.fl_str_mv | 2019-11-28T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1007/s10596-019-09861-4 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Geochemical_equilibrium_determination_using_an_artificial_neural_network_in_compositional_reservoir_flow_simulation/21597213 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Mathematical sciences Numerical and computational mathematics Reservoir simulation Compositional Heterogeneity CO2 storage Chemically reacting flows Artificial neural network |
| dc.title.none.fl_str_mv | Geochemical equilibrium determination using an artificial neural network in compositional reservoir flow simulation |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The fluid injection in sedimentary formations may generate geochemical interactions between the fluids and the rock minerals, e.g., CO<sub>2</sub> storage in a depleted reservoir or a saline aquifer. To simulate such reactive transfer processes, geochemical equations (equilibrium and kinetics equations) are coupled with compositional flows in porous media in order to represent, for example, precipitation/dissolution phenomena. The aim of the decoupled approach proposed consists in replacing the geochemical equilibrium solver with a substitute method to bypass the huge consuming time required to balance the geochemical system while keeping an accurate equilibrium calculation. This paper focuses on the use of artificial neural networks (ANN) to determine the geochemical equilibrium instead of solving geochemical equations system. To illustrate the proposed workflow, a 3D case study of CO<sub>2</sub> storage in geological formation is presented.</p><h2>Other Information</h2><p dir="ltr">Published in: Computational Geosciences<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10596-019-09861-4" target="_blank">http://dx.doi.org/10.1007/s10596-019-09861-4</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_bce1c2a2eabb9348384c2064381e2130 |
| identifier_str_mv | 10.1007/s10596-019-09861-4 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/21597213 |
| publishDate | 2019 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Geochemical equilibrium determination using an artificial neural network in compositional reservoir flow simulationDominique Guérillot (14150973)Jérémie Bruyelle (14158887)Mathematical sciencesNumerical and computational mathematicsReservoir simulationCompositionalHeterogeneityCO2 storageChemically reacting flowsArtificial neural network<p dir="ltr">The fluid injection in sedimentary formations may generate geochemical interactions between the fluids and the rock minerals, e.g., CO<sub>2</sub> storage in a depleted reservoir or a saline aquifer. To simulate such reactive transfer processes, geochemical equations (equilibrium and kinetics equations) are coupled with compositional flows in porous media in order to represent, for example, precipitation/dissolution phenomena. The aim of the decoupled approach proposed consists in replacing the geochemical equilibrium solver with a substitute method to bypass the huge consuming time required to balance the geochemical system while keeping an accurate equilibrium calculation. This paper focuses on the use of artificial neural networks (ANN) to determine the geochemical equilibrium instead of solving geochemical equations system. To illustrate the proposed workflow, a 3D case study of CO<sub>2</sub> storage in geological formation is presented.</p><h2>Other Information</h2><p dir="ltr">Published in: Computational Geosciences<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s10596-019-09861-4" target="_blank">http://dx.doi.org/10.1007/s10596-019-09861-4</a></p>2019-11-28T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1007/s10596-019-09861-4https://figshare.com/articles/journal_contribution/Geochemical_equilibrium_determination_using_an_artificial_neural_network_in_compositional_reservoir_flow_simulation/21597213CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/215972132019-11-28T00:00:00Z |
| spellingShingle | Geochemical equilibrium determination using an artificial neural network in compositional reservoir flow simulation Dominique Guérillot (14150973) Mathematical sciences Numerical and computational mathematics Reservoir simulation Compositional Heterogeneity CO2 storage Chemically reacting flows Artificial neural network |
| status_str | publishedVersion |
| title | Geochemical equilibrium determination using an artificial neural network in compositional reservoir flow simulation |
| title_full | Geochemical equilibrium determination using an artificial neural network in compositional reservoir flow simulation |
| title_fullStr | Geochemical equilibrium determination using an artificial neural network in compositional reservoir flow simulation |
| title_full_unstemmed | Geochemical equilibrium determination using an artificial neural network in compositional reservoir flow simulation |
| title_short | Geochemical equilibrium determination using an artificial neural network in compositional reservoir flow simulation |
| title_sort | Geochemical equilibrium determination using an artificial neural network in compositional reservoir flow simulation |
| topic | Mathematical sciences Numerical and computational mathematics Reservoir simulation Compositional Heterogeneity CO2 storage Chemically reacting flows Artificial neural network |