Работы, цитирующие эту работу

Работ: 5

Работа: Forecasting PVT properties of crude oil systems based on support vector machines modeling scheme

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. Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data

   Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya +9

   СтатьяReservoir Engineering and Simulation MethodsScientific Reports2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000937

3. 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

4. Estimating solubility of nitrogen in various ionic liquids: application of machine-learning

   Kassem Al Attabi, Farzona Alimova, Anupam Yadav +7

   СтатьяIonic liquids properties and applicationsChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.004224

5. Machine learning frameworks to accurately compute CO2 capture in porous liquids

   Farag M. A. Altalbawy, Soumya V. Menon, Anupam Yadav +7

   СтатьяCarbon Dioxide Capture TechnologiesChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.004589