A New 3D Mathematical Model for Simulating Nanofluid Flooding in a Porous Medium for Enhanced Oil Recovery

Two-phase Darcy’s law is a well-known mathematical model used in the petrochemical industry. It predicts the fluid flow in reservoirs and can be used to optimize oil production using recent technology. Indeed, various models have been proposed for predicting oil recovery using injected nanofluids (N...

Full description

Bibliographic Details
Main Authors: Abdullah Al-Yaari, Dennis Ling Chuan Ching, Hamzah Sakidin, Mohana Sundaram Muthuvalu, Mudasar Zafar, Abdurrashid Haruna, Zulkifli Merican Aljunid Merican, Abdus Samad Azad
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/16/15/5414
_version_ 1797586430988386304
author Abdullah Al-Yaari
Dennis Ling Chuan Ching
Hamzah Sakidin
Mohana Sundaram Muthuvalu
Mudasar Zafar
Abdurrashid Haruna
Zulkifli Merican Aljunid Merican
Abdus Samad Azad
author_facet Abdullah Al-Yaari
Dennis Ling Chuan Ching
Hamzah Sakidin
Mohana Sundaram Muthuvalu
Mudasar Zafar
Abdurrashid Haruna
Zulkifli Merican Aljunid Merican
Abdus Samad Azad
author_sort Abdullah Al-Yaari
collection DOAJ
description Two-phase Darcy’s law is a well-known mathematical model used in the petrochemical industry. It predicts the fluid flow in reservoirs and can be used to optimize oil production using recent technology. Indeed, various models have been proposed for predicting oil recovery using injected nanofluids (NFs). Among them, numerical modeling is attracting the attention of scientists and engineers owing to its ability to modify the thermophysical properties of NFs such as density, viscosity, and thermal conductivity. Herein, a new model for simulating NF injection into a 3D porous media for enhanced oil recovery (EOR) is investigated. This model has been developed for its ability to predict oil recovery across a wide range of temperatures and volume fractions (VFs). For the first time, the model can examine the changes and effects of thermophysical properties on the EOR process based on empirical correlations depending on two variables, VF and inlet temperature. The governing equations obtained from Darcy’s law, mass conservation, concentration, and energy equations were numerically evaluated using a time-dependent finite-element method. The findings indicated that optimizing the temperature and VF could significantly improve the thermophysical properties of the EOR process. We observed that increasing the inlet temperature (353.15 K) and volume fraction (4%) resulted in better oil displacement, improved sweep efficiency, and enhanced mobility of the NF. The oil recovery decreased when the VF (>4%) and temperature exceeded 353.15 K. Remarkably, the optimal VF and inlet temperature for changing the thermophysical properties increased the oil production by 30%.
first_indexed 2024-03-11T00:22:10Z
format Article
id doaj.art-1c59be4184bb467a836b935dcc5a3de3
institution Directory Open Access Journal
issn 1996-1944
language English
last_indexed 2024-03-11T00:22:10Z
publishDate 2023-08-01
publisher MDPI AG
record_format Article
series Materials
spelling doaj.art-1c59be4184bb467a836b935dcc5a3de32023-11-18T23:13:00ZengMDPI AGMaterials1996-19442023-08-011615541410.3390/ma16155414A New 3D Mathematical Model for Simulating Nanofluid Flooding in a Porous Medium for Enhanced Oil RecoveryAbdullah Al-Yaari0Dennis Ling Chuan Ching1Hamzah Sakidin2Mohana Sundaram Muthuvalu3Mudasar Zafar4Abdurrashid Haruna5Zulkifli Merican Aljunid Merican6Abdus Samad Azad7Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, MalaysiaDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, MalaysiaDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, MalaysiaDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, MalaysiaDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, MalaysiaDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, MalaysiaDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, MalaysiaDepartment of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, MalaysiaTwo-phase Darcy’s law is a well-known mathematical model used in the petrochemical industry. It predicts the fluid flow in reservoirs and can be used to optimize oil production using recent technology. Indeed, various models have been proposed for predicting oil recovery using injected nanofluids (NFs). Among them, numerical modeling is attracting the attention of scientists and engineers owing to its ability to modify the thermophysical properties of NFs such as density, viscosity, and thermal conductivity. Herein, a new model for simulating NF injection into a 3D porous media for enhanced oil recovery (EOR) is investigated. This model has been developed for its ability to predict oil recovery across a wide range of temperatures and volume fractions (VFs). For the first time, the model can examine the changes and effects of thermophysical properties on the EOR process based on empirical correlations depending on two variables, VF and inlet temperature. The governing equations obtained from Darcy’s law, mass conservation, concentration, and energy equations were numerically evaluated using a time-dependent finite-element method. The findings indicated that optimizing the temperature and VF could significantly improve the thermophysical properties of the EOR process. We observed that increasing the inlet temperature (353.15 K) and volume fraction (4%) resulted in better oil displacement, improved sweep efficiency, and enhanced mobility of the NF. The oil recovery decreased when the VF (>4%) and temperature exceeded 353.15 K. Remarkably, the optimal VF and inlet temperature for changing the thermophysical properties increased the oil production by 30%.https://www.mdpi.com/1996-1944/16/15/5414mathematical modelEORnanofluid floodingthermophysical propertiesporous medium
spellingShingle Abdullah Al-Yaari
Dennis Ling Chuan Ching
Hamzah Sakidin
Mohana Sundaram Muthuvalu
Mudasar Zafar
Abdurrashid Haruna
Zulkifli Merican Aljunid Merican
Abdus Samad Azad
A New 3D Mathematical Model for Simulating Nanofluid Flooding in a Porous Medium for Enhanced Oil Recovery
Materials
mathematical model
EOR
nanofluid flooding
thermophysical properties
porous medium
title A New 3D Mathematical Model for Simulating Nanofluid Flooding in a Porous Medium for Enhanced Oil Recovery
title_full A New 3D Mathematical Model for Simulating Nanofluid Flooding in a Porous Medium for Enhanced Oil Recovery
title_fullStr A New 3D Mathematical Model for Simulating Nanofluid Flooding in a Porous Medium for Enhanced Oil Recovery
title_full_unstemmed A New 3D Mathematical Model for Simulating Nanofluid Flooding in a Porous Medium for Enhanced Oil Recovery
title_short A New 3D Mathematical Model for Simulating Nanofluid Flooding in a Porous Medium for Enhanced Oil Recovery
title_sort new 3d mathematical model for simulating nanofluid flooding in a porous medium for enhanced oil recovery
topic mathematical model
EOR
nanofluid flooding
thermophysical properties
porous medium
url https://www.mdpi.com/1996-1944/16/15/5414
work_keys_str_mv AT abdullahalyaari anew3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT dennislingchuanching anew3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT hamzahsakidin anew3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT mohanasundarammuthuvalu anew3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT mudasarzafar anew3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT abdurrashidharuna anew3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT zulkiflimericanaljunidmerican anew3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT abdussamadazad anew3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT abdullahalyaari new3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT dennislingchuanching new3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT hamzahsakidin new3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT mohanasundarammuthuvalu new3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT mudasarzafar new3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT abdurrashidharuna new3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT zulkiflimericanaljunidmerican new3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery
AT abdussamadazad new3dmathematicalmodelforsimulatingnanofluidfloodinginaporousmediumforenhancedoilrecovery