Feasibility study of solving oil-water two-phase flow equations using fourier neural operator

HIGHLIGHTS

• What: This study shows the potential of FNO to solve high-dimensional oil-water two-phase flow equations offering valuable insights into intelligent predictions for complex subsurface reservoirs and presenting new methods and perspectives for further development in reservoir numerical modeling. This study explores the application and feasibility of Fourier Neural Operators (FNO) in solving oil-water twophase flow equations.
• Who: Rong Zhong from the School of Petroleum Engineering, Xi`an Shiyou University, Xi`an, Shaanxi, China have published the research: Feasibility Study of Solving Oil‐Water Two‐Phase Flow Equations Using Fourier Neural Operator . . .
  

   

  

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