The new method takes into account the effect of pressure on fractured reservoirs, increasing the accuracy of calculations.
Specialists from the Perm National Research Polytechnic University (PNRPU) have developed an innovative model that makes it possible to more accurately predict oil production in fractured reservoirs. The results of the study were published in the journal “Proceedings of the Mining Institute”.
Fractured reservoirs contain up to 50% of the world’s oil reserves. However, as the pressure decreases, the fractures can close, sharply reducing production. Standard models often do not take this effect into account, which leads to errors in calculations. PNRPU scientists have proposed a solution that makes forecasts more accurate.
The technique combines geomechanical modeling and machine learning. It analyzes seismic data, pressure changes and production dynamics to predict reservoir behavior. This allows you to:
– Optimize field development,
– Precisely plan pressure maintenance,
– Reduce the risk of oil shortages.
The technology has already been tested in real fields. For example, at one well, traditional models incorrectly predicted an increase in pressure, but the fractures closed and production fell. The new system correctly predicted this scenario.
Experts emphasize that the approach increases the reliability of oil production projects and reduces financial risks. The implementation of the model will help more efficiently develop fields in Russia, the Middle East and other regions.
Source: neftegaz.ru
