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

Young researchers 2023-2025

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.

As an outcome of the project implementation, we expect to develop the framework of the fracture model to improve the flow and transport simulations to prevent undesired CO2 migration, to control soil remediation process with an injection of species, and other applications for many places including Kazakhstan. The research will allow the development of a new vision and community in geology and IT for the problems of fracture network characterization in Kazakhstan, especially for oil and gas problems.

The research results will be presented at national and international conferences. Also, the outcomes will be as a research paper in international peer-reviewed research journals. We plan to publish,

- at least 2 (two) articles and (or) reviews in peer-reviewed scientific publications indexed in the Science Citation Index Expanded Web of Science database and (or) having a CiteScore percentile in the Scopus database of at least 35 (thirty five);

- at least 1 (one) article or review in a peer-reviewed international or local publication recommended by the KOKSNVO;

- or at least 1 (one) article or review in a peer-reviewed scientific publication indexed in the Science Citation Index Expanded and included in the 1st (first) quartile by impact factor in the Web of Science database.