The article presents the software tool for long-term investment planning for effective development of oil fields created by specialists of the Almetyevsk State Oil Institute, the TatNIPIneft, the Information Technology Center of Tatneft PJSC. Predictive planning of production enhancement operations is carried out on the basis of fields proxy models using highly efficient optimization algorithms and machine learning to form a long-term production program for events under resource constraints. Possibilities of using neural network approaches in solving the issue of clustering the performance indicators of planned measures distributed over the years to reduce the dimension of the optimization problem are considered in development of these tools. Comparative characteristics of the used optimization methods are included. Automated generation of many scenarios of the oil fields development is performed on proxy models of the workstation of the geologist LAZURIT with the calculation of technical and economic indicators of the planned production enhancement operations. Drilling of vertical and horizontal wells, sidetrack, transfer of wells to another horizon, the use of technology for dual completion and production, fracturing are considered as production enhancement operations. The results are used as an input for the system of long-term production program formation, which allows one to choose the most effective set of measures that meet the specified macro/microeconomic and resource constraints using the package of neural network and optimization algorithms. At the same time, the distribution of additional production from operations for a period of up to five years is taken into account, and a multi-scenario assessment of measure sets takes place within each annual planning period.
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