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Oluwatoyin Akinsete
Oluwatoyin Akinsete
Petroleum Engineering, University of Ibadan
Verified email at mail.ui.edu.ng
Title
Cited by
Cited by
Year
Leak detection in natural gas pipelines using intelligent models
O Akinsete, A Oshingbesan
SPE Nigeria annual international conference and exhibition, D023S009R001, 2019
442019
Bottom-hole pressure estimation from wellhead data using artificial neural network
O Akinsete, BA Adesiji
SPE Nigeria Annual International Conference and Exhibition, D033S027R005, 2019
152019
Effects of mud filtrate invasion on well log measurements
OO Akinsete, DA Adekoya
SPE Nigeria Annual International Conference and Exhibition, SPE-184308-MS, 2016
142016
Prediction of sand production in gas and gas condensate wells
SO Isehunwa, TF Ogunkunle, SM Onwuegbu, OO Akinsete
Journal of Petroleum and Gas Engineering 8 (4), 29-35, 2017
132017
PVT fluid sampling, characterization and gas condensate reservoir modeling
JU Akpabio, SO Isehunwa, OO Akinsete
Advances in Research 5 (5), 1-11, 2015
102015
An Analysis of formation damage during the drilling of Deviated wells
OO Akinsete, SO Isehunwa
Petroleum science and technology 31 (21), 2202-2210, 2013
72013
Adsorption of crude oil spill from aqueous solution using agro-wastes as adsorbents
AA Olalekan, AO Oluwatoyin
Journal of Scientific Research and Reports 27 (4), 27-52, 2021
52021
Improved correlations and predictive models for Nigerian crude oil PVT properties using advanced regression and intelligent techniques
K Uzogor, O Akinsete
SPE Nigeria Annual International Conference and Exhibition, D013S004R006, 2020
52020
Experimental investigation of wax inhibition tendency of Jatropha oil in Niger Delta waxy crude-oil
OO Akinsete, SM Owoseni, AA Sulaimon
Petroleum Science and Technology 42 (13), 1685-1700, 2024
32024
A Comprehensive Review of Recent Advances in the Estimation of Natural Gas Compressibility Factor
OC Omobolanle, OO Akinsete
SPE Nigeria Annual International Conference and Exhibition, D031S018R001, 2021
32021
Modeling of Two-Phase Gas Deviation Factor for Gas-Condensate Reservoir using Artificial Neural Network
O Akinsete, A Omotosho
Advances in Research 14 (1), 1-8, 2018
32018
Novel analytical model for predicting hydrate formation onset pressures in natural gas pipeline systems
OO Akinsete, SO Isehunwa
Journal of Characterization and Development of Novel Materials 7 (4), 605, 2015
32015
Pressure transient analysis of multiple leakages in a natural gas pipeline
SO Isehunwa, SB Ipinsokan, OO Akinsete
Journal of Petroleum and Gas Engineering 5 (1), 1-8, 2014
32014
Development of Thermodynamic Model with Gopal’s Constants for the Inhibition of Gas Hydrates Formation in Gas Pipeline
ASFG Akinsete Oluwatoyin
Current Journal of Applied Science and Technology 38 (6), 1-8, 2019
2*2019
Experimental and factorial design analysis of viscosity and fluid loss control of water-based mud treated with pineapple leaves
OO Akinsete, HO Aliu
Egyptian Journal of Petroleum 32 (1), 57-64, 2023
12023
New Oil Formation Volume Factor Correlation for Nigerian Crude Oils
AJ Atthi, AA Sulaimon, OK Akinsete
SPE Nigeria Annual International Conference and Exhibition, D021S010R002, 2022
12022
Correlation for predicting bubble point pressure for 22.3≤ API≥ 45 crude oils: A white-box machine learning approach
PB Ikpabi, OO Akinsete
12022
Reservoir Simulation Analysis of Pressure Depletion Performance in Gas-Condensate Reservoirs: Black-Oil and Compositional Approaches
AA Agnes, AO Oluwatoyin
Journal of Scientific Research and Reports 27 (6), 119-137, 2021
12021
Integration and Interpretation of Aeromagnetic, 3D Seismic and Well Logs Data in Hydrocarbon Exploration in Niger Delta Basin
O Akinsete, T Abdulraheem, S Naheem, A Leke
Advances in Research 21 (8), 28-42, 2020
12020
A Simplified Approach to the Analysis of Oil Displacement by Water in Stratified Reservoirs
NGIS Akinsete Oluwatoyin
International Journal in Petroleum and Gas Engineering Research 4 (1), 1-12, 2020
12020
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