Standout Papers

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Com... 2020 2026 2022 2024299
  1. Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models (2020)
    Daniel Asante Otchere, Tarek Ganat et al. Journal of Petroleum Science and Engineering

Immediate Impact

21 standout
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Works of Daniel Asante Otchere being referenced

Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models
2020 Standout

Author Peers

Author Last Decade Papers Cites
Daniel Asante Otchere 225 209 162 23 633
Namrata Bist 244 161 137 39 606
Huimin Wang 217 162 174 51 735
Yuetian Liu 302 208 173 27 568
Bennet Nii Tackie-Otoo 285 142 144 31 542
Amin Gholami 304 207 203 34 671
S.S. Matin 135 332 117 13 639
Xiang Zhang 159 196 317 27 530
Amirmasoud Kalantari Dahaghi 445 355 306 30 658
Fahad I. Syed 436 324 288 21 602
Ammal Fannoush Al-Anazi 267 339 295 13 592

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2026