Kachalla Aliyuda

Impact of Geological Variables in Controlling Oil-Reservoir Performance: An Insight from a Machine-Learning Technique

Kachalla Aliyuda, John Howell, Elliot Humphrey · SPE Reservoir Evaluation & Engineering · 2020 · 33 citations

Engineering, Machine Learning, Machine-learning Technique +22

Role of diagenetic alterations on porosity evolution in the cretaceous (Albian-Aptian) Bima Sandstone, a case study from the Northern Benue Trough, NE Nigeria

Abdulwahab Muhammad Bello, Musa Bappah Usman, Usman Abubakar et al. · Marine and Petroleum Geology · 2022 · 31 citations

Porosity Evolution, Facies Analysis, Engineering +11

Towards more accurate and explainable supervised learning-based prediction of deliverability for underground natural gas storage

Aliyuda Ali, Kachalla Aliyuda, Nouh Sabri Elmitwally et al. · Applied Energy · 2022 · 27 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

Machine-learning algorithm for estimating oil-recovery factor using a combination of engineering and stratigraphic dependent parameters

Kachalla Aliyuda, John Howell · Interpretation · 2019 · 24 citations

Engineering, Machine Learning, Petroleum Production Engineering +24

Linking diagenesis and reservoir quality to depositional facies in marginal to shallow marine sequence: An example from the Campano-Maastrichtian Gombe Sandstone, Northern Benue Trough, NE Nigeria

Abdulwahab Muhammad Bello, Musa Bappah Usman, Muhammad Azzam Ismail et al. · Marine and Petroleum Geology · 2023 · 17 citations

Reservoir Quality, Marine Geology, Facies Analysis +11