At Perm Polytechnic University, a method has been developed for calculating the optimal parameters for well operation to achieve high efficiency in hydrocarbon production. Incorrectly selected well operation parameters can reduce their productivity to just 15%. However, the PNRPU development will help oil workers recover the 85% of oil or gas that disappears when parameters are incorrectly set for wells, by using correct calculations.
Research within the framework of the "Priority 2030" program has proven a direct link between the formation of reservoir depression and the well productivity coefficient.
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 difference between the pressure of 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 string, 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 appearing, 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, destruction from tensile stresses decreases. At a depression value of 9 MPa, such zones completely disappeared, and 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 coefficient can reach 15%, which indicates the need to find the optimal operating mode for a 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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