Работы, цитирующие эту работу

Работ: 2

Работа: Improving the Simulation of Waterflood Performance With the Use of Neural Networks

1. Prediction of saturation exponent for subsurface oil and gas reservoirs using soft computing methods

   Anupam Yadav, Saeed Hameed Aldulaimi, Farag M. A. Altalbawy +9

   СтатьяReservoir Engineering and Simulation MethodsFrontiers in Earth Science2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.001949

2. Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods

   Abhinav Kumar, Paul Rodrigues, Ali Kamil Kareem +7

   СтатьяHydrocarbon exploration and reservoir analysisScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002750