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Daniel Asante Otchere
Daniel Asante Otchere
AI/ML Scientific Engineer, Institute for Computational & Data Sciences, Penn State University
Verified email at psu.edu - Homepage
Title
Cited by
Cited by
Year
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
3312021
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
962022
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
532021
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
272021
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
162022
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
152022
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
122021
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
112022
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
102021
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
9*2022
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
72023
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
52023
Fundamental error in tree-based machine learning model selection for reservoir characterisation
DA Otchere
Energy Geoscience 5 (2), 100229, 2024
42024
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
32023
Machine-learning-based proxy modelling for geothermal field development optimisation
DA Otchere, AHA Latiff, MY Taki, LA Dafyak
Offshore Technology Conference, D021S027R004, 2023
32023
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
32022
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
32020
Data Science and Machine Learning Applications in Subsurface Engineering
DA Otchere
CRC Press, Taylor & Francis Group, 2024
12024
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
12022
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