At Perm Polytechnic University, a method has been developed for calculating the optimal parameters of well operation for high efficiency in the extraction of hydrocarbon resources. Incorrectly selected well operation parameters can reduce their productivity to only 15%. However, the development of PNRPU will help oil workers recover these 85% of oil or gas that disappear with incorrectly set parameters for wells, through correct calculations.
The study, as part of the "Priority 2030" program, proved a direct link between the formation of reservoir depression and the well productivity factor.
One of the most common methods for creating hydrodynamic communication between the reservoir and the well is cumulative perforation, during which a perforator is lowered into the well on an electric cable. The explosion from its charges forms a directed jet that creates channels. The pressure difference between the fluid column in the well and the reservoir pressure is called depression. The disadvantage of cumulative perforation is that it changes the stress-strain state of the column, cement stone, and reservoir rock near the drilled channels. This leads to a decrease in the permeability of rocks and the productivity of the well as a whole.
To study the effect of cumulative perforation on rock permeability and the likelihood of weakened or destructible areas, PNRPU conducted numerical modeling of the near-wellbore zone. The well model included a sample of the production string, cement stone, and a section of reservoir rock with perforation holes.
It turned out that in the process of increasing the difference between reservoir and bottomhole pressures on the formation, the destruction from tensile stresses decreases. At a depression value of 9 MPa, such zones completely disappeared, and the areas of destruction from compression increased.
We found that when the depression on the formation is increased to 12 MPa, the maximum decrease in the well productivity factor can reach 15%, which indicates the need to find the optimal operating mode of the production well.
Researchers hope that the numerical model they have developed will help improve the selection of an effective operating mode for oil and gas production wells in Russia.
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