Items where Author is "Ganat, T.O.A."

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.

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.

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.

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.