| Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models DA Otchere, TOA Ganat, R Gholami, S Ridha Journal of Petroleum Science and Engineering 200, 108-182, 2021 | 348 | 2021 |
| Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions DA Otchere, TOA Ganat, JO Ojero, BN Tackie-Otoo, MY Taki Journal of Petroleum Science and Engineering 208, 109244, 2022 | 105 | 2022 |
| A novel custom ensemble learning model for an improved reservoir permeability and water saturation prediction DA Otchere, TOA Ganat, R Gholami, M Lawal Journal of Natural Gas Science and Engineering 91, 103962, 2021 | 56 | 2021 |
| Navigating viscosity of GO-SiO2/HPAM composite using response surface methodology and supervised machine learning models N Lashari, T Ganat, D Otchere, S Kalam, I Ali Journal of Petroleum Science and Engineering 205, 2021 | 27 | 2021 |
| Data analytics and Bayesian Optimised Extreme Gradient Boosting approach to estimate cut-offs from wireline logs for net reservoir and pay classification DA Otchere, TOA Ganat, V Nta, ET Brantson, T Sharma Applied Soft Computing 120, 108680, 2022 | 17 | 2022 |
| A Novel Empirical and Deep Ensemble Super Learning Approach in Predicting Reservoir Wettability via Well Logs DA Otchere, AAM Mohammed, TOA Ganat, R Gholami, ... Applied Sciences 12 (6), 2942, 2022 | 15 | 2022 |
| Investigation into the Oil Recovery Process Using an Organic Alkali–Amino Acid-Based Surfactant System BN Tackie-Otoo, DY Atta, MAA Mohammed, DA Otchere Energy & Fuels, 2021 | 12 | 2021 |
| Improving seismic fault mapping through data conditioning using a pre-trained deep convolutional neural network: A case study on Groningen field DA Otchere, BN Tackie-Otoo, MAA Mohammad, TOA Ganat, N Kuvakin, ... Journal of Petroleum Science and Engineering 213, 110411, 2022 | 11 | 2022 |
| M., Ganat, TOA, Gholami, R. and Aljunid Merican, ZM 2022a. A novel empirical and deep ensemble super learning approach in predicting reservoir wettability via well logs DA Otchere, AA Mohammed Applied Sciences 12 (6), 2942, 2022 | 10* | 2022 |
| Static Reservoir Modeling Comparing Inverse Distance Weighting to Kriging Interpolation Algorithm in Volumetric Estimation. Case Study: Gullfaks Field DA Otchere, D Hodgetts, TAO Ganat, N Ullah, A Rashid Offshore Technology Conference, Virtual and Houston, Texas, August 2021., 2021 | 10 | 2021 |
| A study of the oil recovery potential and mechanisms of an alternative Alkaline-Surfactant-Polymer formulation for carbonate reservoir BN Tackie-Otoo, MAA Mohammed, DA Otchere, SR Jufar Geoenergy Science and Engineering 227, 211881, 2023 | 7 | 2023 |
| Sedimentary facies and stratigraphy of the campanian-maastrichtian taloka formation, southeastern Iullemmeden Basin, Nigeria M Lawal, MHA Hassan, WH Abdullah, DA Otchere Journal of African Earth Sciences 200, 104842, 2023 | 5 | 2023 |
| Fundamental error in tree-based machine learning model selection for reservoir characterisation DA Otchere Energy Geoscience 5 (2), 100229, 2024 | 4 | 2024 |
| Develop Optimum Gas Lift Methods to Improve Gas Lift Efficiency Using Gas Lift Pack-Off, Deep Gas Lift, and Deep Lift Set TA Ganat, N Lashari, M Oun, DA Otchere, I Ali International Journal of Advanced Research in Engineering and Technology …, 2020 | 4 | 2020 |
| Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties GA Tabaaza, BN Tackie-Otoo, DB Zaini, DA Otchere, B Lal Computational Toxicology 26, 100266, 2023 | 3 | 2023 |
| Machine-learning-based proxy modelling for geothermal field development optimisation DA Otchere, AHA Latiff, MY Taki, LA Dafyak Offshore Technology Conference, D021S027R004, 2023 | 3 | 2023 |
| Enhancing Drilling Fluid Lost-circulation Prediction: Using Model Agnostic and Supervised Machine Learning DA Otchere, MAA Mohammed, H Al-Hadrami, TB Boakye Data Science and Machine Learning Applications in Subsurface Engineering, 6-32, 2022 | 3 | 2022 |
| Data Science and Machine Learning Applications in Subsurface Engineering DA Otchere CRC Press, Taylor & Francis Group, 2024 | 1 | 2024 |
| Application of a Novel Stacked Ensemble Model in Predicting Total Porosity and Free Fluid Index via Wireline and NMR Logs DA Otchere Data Science and Machine Learning Applications in Subsurface Engineering, 33-56, 2024 | 1 | 2024 |
| Field characteristics of sedimentary rocks in the Dohol Formation, johor, Peninsular Malaysia A Rashid, NA Siddiqui, N Ahmed, M Jamil, DA Otchere, SA Kasim IOP Conference Series: Earth and Environmental Science 1087 (1), 012064, 2022 | 1 | 2022 |
Raoof GholamiProfessor, University of Stavanger在 uis.no 的电子邮件经过验证
