Search Results - Otchere, D.A.

Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions by Otchere, D.A., Ganat, T.O.A., Ojero, J.O., Tackie-Otoo, B.N., Taki, M.Y.

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Data analytics and Bayesian Optimised Extreme Gradient Boosting approach to estimate cut-offs from wireline logs for net reservoir and pay classification by Otchere, D.A., Ganat, T.O.A., Nta, V., Brantson, E.T., Sharma, T.

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Investigation into the Oil Recovery Process Using an Organic Alkali-Amino Acid-Based Surfactant System by Tackie-Otoo, B.N., Atta, D.Y., Ayoub Mohammed, M.A., Otchere, D.A.

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Data analytics and Bayesian Optimised Extreme Gradient Boosting approach to estimate cut-offs from wireline logs for net reservoir and pay classification by Otchere, D.A., Ganat, T.O.A., Nta, V., Brantson, E.T., Sharma, T.

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Improving seismic fault mapping through data conditioning using a pre-trained deep convolutional neural network: A case study on Groningen field by Otchere, D.A., Tackie-Otoo, B.N., Mohammad, M.A.A., Ganat, T.O.A., Kuvakin, N., Miftakhov, R., Efremov, I., Bazanov, A.

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A study of the oil recovery potential and mechanisms of an alternative Alkaline-Surfactant-Polymer formulation for carbonate reservoir by Tackie-Otoo, B.N., Ayoub Mohammed, M.A., Otchere, D.A., Jufar, S.R.

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