Prediction of Electromagnetic Properties Using Artificial Neural Networks for Oil Recovery Factors

QR Code

Prediction of Electromagnetic Properties Using Artificial Neural Networks for Oil Recovery Factors

Abstract: The most important parameter in the oil and gas industry is the recovery factor (RF). Higher oil consumption has resulted in a rise in global oil prices. Several research have been carried out in order to create, analyze, and optimize operational conditions. However, several reservoir fact...

Full description

Bibliographic Details
Published in:	Colloid Journal
Main Author:	Surajudeen Sikiru; Soleimani H.; Shafie A.; Olayemi R.I.; Hassan Y.M.
Format:	Article
Language:	English
Published:	Pleiades Publishing 2023
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152886016&doi=10.1134%2fS1061933X2260004X&partnerID=40&md5=07ad91d8a631d8136b03b2e262b63521

Similar Items

Phase transitions of the synergistic effects of Ba2+O2TiO2/Mn4+O6 nanofluid with integration of electromagnetic field for improved oil recovery
by: Sikiru, et al.
Published: (2024)

Phase transitions of the synergistic effects of Ba2+O2TiO2/Mn4+O6 nanofluid with integration of electromagnetic field for improved oil recovery
by: Sikiru S.; Soleimani H.; Rahmanian N.; Rostami A.; Khodapanah L.; Ghotbi M.Y.; Hamza M.F.; Soleimani H.; Khodapanah N.; Sabet M.; Demiral B.M.R.; Bonnia N.N.; Ibrahim N.; Muhammad N.
Published: (2024)

Artificial neural network and convolutional neural network for prediction of dental caries
by: Basri K.N.; Yazid F.; Mohd Zain M.N.; Md Yusof Z.; Abdul Rani R.; Zoolfakar A.S.
Published: (2024)

Artificial neural network and convolutional neural network for prediction of dental caries
by: Basri, et al.
Published: (2024)

Predicting Transformer Health Indices Through Oil Quality Parameters with Artificial Neural Networks (ANN)
by: Abd Aziz A.M.; Azmi M.A.; Izwan Mohd Supian M.F.; Talib M.A.; Abidin A.F.; Al Junid S.A.M.
Published: (2023)

Exploring moisture content measurement using an open-ended coaxial sensor: A method of moments approach
by: Soleimani, et al.
Published: (2024)

Selected Malaysia stock predictions using artificial neural network
by: Bahrun P.N.; Taib M.N.
Published: (2009)

Predicting drug contents of hydroxypropylmethylcellulose films using artificial neural network
by: Alias A.; Taib M.N.; Wui W.T.; Anuar N.K.; Tahir N.Md.
Published: (2009)

Simplified Artificial Neural Network Configuration in R Programming for Predictive Modelling
by: Razak T.R.; Jarimi H.; Ahmad E.Z.
Published: (2023)

Review of Artificial Neural Network Approaches for Predicting Building Energy Consumption
by: Md Ramli S.S.; Nizam Ibrahim M.; Mohamad A.; Daud K.; Saidina Omar A.M.; Darina Ahmad N.
Published: (2023)

Energy Consumption and Energy Efficiency Prediction using Artificial Neural Network
by: Khairunizam F.N.B.; Salim N.A.; Mohamad H.; Yasin Z.M.
Published: (2024)

Application of Artificial Neural Network for Accurate Prediction of Photocatalytic Dye Degradation
by: Azmil A.S.; Majnis M.F.; Adnan M.A.M.; Ismail S.
Published: (2024)

Artificial neural network modeling for predicting the quality of water in the Sabak Bernam River
by: Affandi F.; Rahman M.F.A.; Ani A.I.C.; Sulaiman M.S.
Published: (2022)

Prediction of Transmission Losses Allocation using Artificial Neural Network and Z-Bus Tracing
by: Hamid Z.A.; James V.A.; Musirin I.; Salim N.A.
Published: (2024)

Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids
by: Shang Y.; Hammoodi K.A.; Alizadeh A.; Sharma K.; jasim D.J.; Rajab H.; Ahmed M.; Kassim M.; Maleki H.; Salahshour S.
Published: (2024)

Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids
by: Shang, et al.
Published: (2024)

Utilizing Artificial Neural Network for Boiler Feedwater Quality Parameters Prediction at Perlis Power Plant
by: Syahmi Kefeli M.I.; Majnis M.F.
Published: (2023)

Copper Sulfide/N,S-Doped Carbon Nanocomposites as High-Performance Supercapacitor Devices
by: Ghotbi, et al.
Published: (2024)

Agarwood oil quality identification using artificial neural network modelling for five grades
by: Huzir S.M.H.M.; Tajuddin S.N.; Yusoff Z.M.; Ismail N.; Almisreb A.A.; Taib M.N.
Published: (2024)

A novel application of artificial neural network for classifying agarwood essential oil quality
by: Mahabob N.Z.; Yusoff Z.M.; Amidon A.F.M.; Ismail N.; Taib M.N.
Published: (2022)

Predicting Dengue Outbreak based on Meteorological Data Using Artificial Neural Network and Decision Tree Models
by: Krishnan N.F.M.; Zukarnain Z.A.; Ahmad A.; Jamaludin M.
Published: (2022)

ZnO/ZnS/Carbon Nanocomposite-Derived Sulfur-Doped carbon nanosheets using a layered nanoreactor: Towards advanced supercapacitor electrodes and devices
by: Ghotbi, et al.
Published: (2024)

H2-quartz and cushion gas-quartz intermolecular interactions: implications for hydrogen geo-storage in sandstone reservoirs
by: Sikiru, et al.
Published: (2024)

Process modelling of combined degumming and bleaching in palm Oil refining using artificial neural network
by: Morad N.A.; Mohd Zin R.; Mohd Yusof K.; Abdul Aziz M.K.
Published: (2010)

Free and Unfree Weed Classification in Young Palm Oil Crops Using Artificial Neural Network
by: Jopony S.T.M.; Ahmad F.; Osman M.K.; Idris M.; Yahaya S.Z.; Daud K.; Ismail A.P.; Ibrahim A.H.; Soh Z.H.C.
Published: (2023)

Application of artificial neural network to predict water flux from pre-treated palm oil mill effluent using direct contact membrane distillation
by: Idris I.; Ahmad Z.; Roslee Othman M.; Sholahudin Rohman F.; Ilyas Rushdan A.; Azmi A.
Published: (2022)

Artificial Neural Network non-linear auto regressive moving average (NARMA) model for internet traffic prediction
by: Sahrani M.N.; Zan M.M.M.; Yassin I.M.; Zabidi A.; Ali M.S.A.M.
Published: (2017)

Predicting particulate matter (PM2.5) in Malaysia using Multiple Linear Regression and Artificial Neural Network
by: Sobri N.M.; Wan Yaacob W.F.; Ismail N.A.; Malik M.A.A.; Rahman R.A.; Baser N.A.; Sukhairi S.A.M.
Published: (2021)

Disaster management system using artificial neural network
by: Wan Abdull Hamid W.A.S.H.; Hussin M.F.; Samsudin K.; Yassin A.I.M.; Rafi A.M.
Published: (2017)

Classification of thumbprint using Artificial Neural Network (ANN)
by: Naim N.F.; Yassin A.I.M.; Zakaria N.B.; Wahab N.A.
Published: (2011)

An Artificial Neural Network-Based Finite State Machine for Adaptive Scenario Selection in Serious Game
by: Arif Y.M.; Nurhayati H.; Karami A.F.; Nugroho F.; Kurniawan F.; Rasyid H.A.; Aini Q.; Diah N.M.; Garcia M.B.
Published: (2023)

Accurate Agarwood Oil Quality Determination: A Breakthrough With Artificial Neural Networks and the Levenberg- Marquardt Algorithm
by: Huzir, et al.
Published: (2024)

Accurate Agarwood Oil Quality Determination: A Breakthrough With Artificial Neural Networks and the Levenberg- Marquardt Algorithm
by: Huzir S.M.H.M.; Al-Hadi A.H.I.H.; Yusoff Z.M.; Ismail N.; Taib M.N.
Published: (2024)

Solar power prediction based on Artificial Neural Network guided by feature selection for Large-scale Solar Photovoltaic Plant
by: Amer H.N.; Dahlan N.Y.; Azmi A.M.; Latip M.F.A.; Onn M.S.; Tumian A.
Published: (2023)

Solar power prediction based on Artificial Neural Network guided by feature selection for Large-scale Solar Photovoltaic Plant
by: Amer, et al.
Published: (2023)

Enhancing solar energy conversion efficiency: Thermophysical property predicting of MXene/Graphene hybrid nanofluids via bayesian-optimized artificial neural networks
by: jasim D.J.; Rajab H.; Alizadeh A.; Sharma K.; Ahmed M.; Kassim M.; AbdulAmeer S.; Alwan A.A.; Salahshour S.; Maleki H.
Published: (2024)

Hydrogen-powered horizons: Transformative technologies in clean energy generation, distribution, and storage for sustainable innovation
by: Sikiru, et al.
Published: (2024)

Human posture recognition using android smartphone and artificial neural network
by: Idris M.I.; Zabidi A.; Yassin I.M.; Ali M.S.A.M.
Published: (2016)

A Review of Artificial Neural Network Applications in Variants of Optimization Algorithms
by: Ghani F.A.; Rivaie M.; Yusoff M.; Puteh M.
Published: (2022)

Arrhythmia modelling via ECG characteristic frequencies and artificial neural network
by: Jalil M.H.F.M.; Saaid M.F.; Ahmad A.; Ali M.S.A.M.
Published: (2014)