The framework of the fracture network in the subsurface using data-driven models and mathematical models

  • Amanbek, Yerlan (PI)
  • Merembayev, Timur (Other Faculty/Researcher)
  • Omirbekov, Sagyn (Other Faculty/Researcher)
  • Kurmanbek, Bakytzhan (Other Faculty/Researcher)
  • Kazidenov, Daniyar (Other Faculty/Researcher)

Project: MES RK

Project Details

Grant Program

Young researchers 2023-2025

Project Description

The key goal of the project is to develop the fracture network model in the subsurface using mathematical analysis including geostatistical analysis and/or deep learning algorithms. Thus, the efficient fracture model verified with the results of geomechanical simulations or the realistic data will be investigated to enrich the subsurface characterization.
Effective start/end date1/1/2312/31/25


  • . Fracture network model
  • machine learning
  • gaussian simulation
  • geomechanics
  • Geostatistics