The vital method to increase the oil production efficiency is well stimulation. Time efficient search for candidates for well stimulation in various field conditions is a complex and multifactorial task. In order to automate this process, an interactive filtering system based on the RN-KIN software package has been developed. The system allows identification of oil wells, characterized by optimal ranges of field conditions for conducting well stimulation, and to rank them. As filtering criteria, it is possible to use characteristics of the well itself and its neighboring ones. Additionally, the system allows for the storage and sharing of the generated filters as well as integration into the process of well stimulation approval. The system has been successfully applied on the fields of the Republic of Bashkortostant to find well candidates for acid stimulation. The increase in oil production after conducting these treatments is comparable with its common value. The time spent for searching for these well candidates was noticeably less than before the system implementation. Therefore, the results of the system application show its high efficiency in comparison with the traditional approach of selecting well candidates for well stimulation. The implementation of the developed system facilitates the replenishment and transfer of knowledge about the parameters affecting the efficiency of well stimulation, which allows scaling best practices within the enterprise.
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