Developing a phenomenological model to simulate single and mixed scale formation during flow in porous media: Coupling a salt precipitation model with an ion transport equation under dynamic conditions

Water flooding and pressure maintenance are recommended to improve oil recovery practices after low recovery of petroleum reservoirs occurs during primary production. Salt crystal formation is a frequent occurrence when using these techniques. Several experimental, numerical, and theoretical studies...

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Main Authors: Erfan Hosseini, Dana Mohammad Nazar, Negar Hosseini, Mohammad Sarmadivaleh
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-03-01
Series:Petroleum Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2096249523000686
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author Erfan Hosseini
Dana Mohammad Nazar
Negar Hosseini
Mohammad Sarmadivaleh
author_facet Erfan Hosseini
Dana Mohammad Nazar
Negar Hosseini
Mohammad Sarmadivaleh
author_sort Erfan Hosseini
collection DOAJ
description Water flooding and pressure maintenance are recommended to improve oil recovery practices after low recovery of petroleum reservoirs occurs during primary production. Salt crystal formation is a frequent occurrence when using these techniques. Several experimental, numerical, and theoretical studies have been done on the mechanisms underlying scaling and permeability reduction in porous media; however, there has not been a satisfactory model developed. This study developed a phenomenological model to predict formation damage caused by salt deposition. Compared with existing models, which provide a scaling tendency, the proposed model predicts the profile of scale deposition. The salt precipitation model simulates reactive fluid flow through porous media. A thermodynamic, kinetic, and flow hydrodynamic model was developed and coupled with the ion transport equation to describe the movement of ions. Further, a set of carefully designed dynamic experiments were conducted and the data were compared with the model predictions. Model forecasts and experimental data were observed to have an average absolute error (AAE) ranging from 0.68% to 5.94%, which indicates the model's suitability.
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spelling doaj.art-d8022f19c2514359916fbec44b86bb032024-03-17T07:53:25ZengKeAi Communications Co., Ltd.Petroleum Research2096-24952024-03-01911736Developing a phenomenological model to simulate single and mixed scale formation during flow in porous media: Coupling a salt precipitation model with an ion transport equation under dynamic conditionsErfan Hosseini0Dana Mohammad Nazar1Negar Hosseini2Mohammad Sarmadivaleh3Exploration Directorate, National Iranian Oil Company (NIOC), Tehran, Iran; Corresponding author.Institute of Physical Chemistry and Polymer Physics, Leibniz Institute of Polymer Research Dresden, Dresden, GermanyDepartment of Petroleum Engineering, Islamic Azad University (IAU), Ilam, IranWA School of Mines: Minerals, Energy and Chemical Engineering, Curtin University, Perth, Western Australia, AustraliaWater flooding and pressure maintenance are recommended to improve oil recovery practices after low recovery of petroleum reservoirs occurs during primary production. Salt crystal formation is a frequent occurrence when using these techniques. Several experimental, numerical, and theoretical studies have been done on the mechanisms underlying scaling and permeability reduction in porous media; however, there has not been a satisfactory model developed. This study developed a phenomenological model to predict formation damage caused by salt deposition. Compared with existing models, which provide a scaling tendency, the proposed model predicts the profile of scale deposition. The salt precipitation model simulates reactive fluid flow through porous media. A thermodynamic, kinetic, and flow hydrodynamic model was developed and coupled with the ion transport equation to describe the movement of ions. Further, a set of carefully designed dynamic experiments were conducted and the data were compared with the model predictions. Model forecasts and experimental data were observed to have an average absolute error (AAE) ranging from 0.68% to 5.94%, which indicates the model's suitability.http://www.sciencedirect.com/science/article/pii/S2096249523000686Improved oil recoveryWater floodingFormation damageScaling tendencySalt precipitation
spellingShingle Erfan Hosseini
Dana Mohammad Nazar
Negar Hosseini
Mohammad Sarmadivaleh
Developing a phenomenological model to simulate single and mixed scale formation during flow in porous media: Coupling a salt precipitation model with an ion transport equation under dynamic conditions
Petroleum Research
Improved oil recovery
Water flooding
Formation damage
Scaling tendency
Salt precipitation
title Developing a phenomenological model to simulate single and mixed scale formation during flow in porous media: Coupling a salt precipitation model with an ion transport equation under dynamic conditions
title_full Developing a phenomenological model to simulate single and mixed scale formation during flow in porous media: Coupling a salt precipitation model with an ion transport equation under dynamic conditions
title_fullStr Developing a phenomenological model to simulate single and mixed scale formation during flow in porous media: Coupling a salt precipitation model with an ion transport equation under dynamic conditions
title_full_unstemmed Developing a phenomenological model to simulate single and mixed scale formation during flow in porous media: Coupling a salt precipitation model with an ion transport equation under dynamic conditions
title_short Developing a phenomenological model to simulate single and mixed scale formation during flow in porous media: Coupling a salt precipitation model with an ion transport equation under dynamic conditions
title_sort developing a phenomenological model to simulate single and mixed scale formation during flow in porous media coupling a salt precipitation model with an ion transport equation under dynamic conditions
topic Improved oil recovery
Water flooding
Formation damage
Scaling tendency
Salt precipitation
url http://www.sciencedirect.com/science/article/pii/S2096249523000686
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