Article

Otchere, D.A. and Ganat, T.O.A. and Ojero, J.O. and Tackie-Otoo, B.N. and Taki, M.Y. (2022) Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions. Journal of Petroleum Science and Engineering, 208. ISSN 09204105

Otchere, D.A. and Ganat, T.O.A. and Nta, V. and Brantson, E.T. and Sharma, T. (2022) Data analytics and Bayesian Optimised Extreme Gradient Boosting approach to estimate cut-offs from wireline logs for net reservoir and pay classification. Applied Soft Computing, 120. ISSN 15684946

Otchere, D.A. and Tackie-Otoo, B.N. and Mohammad, M.A.A. and Ganat, T.O.A. and Kuvakin, N. and Miftakhov, R. and Efremov, I. and Bazanov, A. (2022) Improving seismic fault mapping through data conditioning using a pre-trained deep convolutional neural network: A case study on Groningen field. Journal of Petroleum Science and Engineering, 213. ISSN 09204105

Otchere, D.A. and Mohammed, M.A.A. and Ganat, T.O.A. and Gholami, R. and Merican, Z.M.A. (2022) A Novel Empirical and Deep Ensemble Super Learning Approach in Predicting Reservoir Wettability via Well Logs. Applied Sciences (Switzerland), 12 (6). ISSN 20763417

Otchere, D.A. and Ganat, T.O.A. and Gholami, R. and Lawal, M. (2021) A novel custom ensemble learning model for an improved reservoir permeability and water saturation prediction. Journal of Natural Gas Science and Engineering, 91. ISSN 18755100

Book

Otchere, D.A. and Gholami, R. and Nta, V. and Ganat, T.O.A. (2024) Compressional and Shear Sonic Log Determination Using Data-Driven Machine Learning Techniques. CRC Press, pp. 57-86. ISBN 9781003860198; 9781032433646