Работы, цитирующие эту работу

Работ: 3

Работа: Randomly generating realistic calcareous sand for directional seepage simulation using deep convolutional generative adversarial networks

1. Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones

   Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora +10

   СтатьяHydraulic Fracturing and Reservoir AnalysisJournal of Petroleum Exploration and Production Technology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001802

2. Permeability reduction prediction in low-salinity water flooding of clay-rich sandstones through machine learning

   Yifan Li, Farag M. A. Altalbawy, Hardik Doshi +9

   СтатьяHydraulic Fracturing and Reservoir AnalysisPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.007565

3. New insights into residue formation due to oxidation of crude oil via data-driven methods

   Mohammad Abushuhel, Ibrahim Khersan, Tariq Abdulkader Alrihaim +7

   СтатьяPetroleum Processing and AnalysisGeosystem Engineering2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.017440