Ushbu ishga iqtibos qilgan ishlar

5 ta ish

Ish: 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

   MaqolaReservoir Engineering and Simulation MethodsFrontiers in Earth Science20240 iqtibos

   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

   MaqolaReservoir Engineering and Simulation MethodsScientific Reports20250 iqtibos

   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

   MaqolaHydrocarbon exploration and reservoir analysisScientific Reports20250 iqtibos

   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

   MaqolaIonic liquids properties and applicationsChemical Papers20260 iqtibos

   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

   MaqolaCarbon Dioxide Capture TechnologiesChemical Papers20260 iqtibos

   ABIABI:AkademIndex/openalex/2026.article.004589