CLUSTERING AS A TOOL FOR SEARCHING FOR ANALOG OBJECTS IN THE DEVELOPMENT OF OIL FIELD DESIGN DOCUMENTATION
Ivan V. Makarov, Vadim B. Prudnikov
Ufa University of Science and Technology, Ufa, Russian Federation
Keywords: clustering, k-means method, analog objects, oil field development, design and technical documentation, data analysis
Abstract
The article applies clustering by the k-means method to search for similar objects in the development of oil fields and design documentation. The study is based on the analysis of data from 1490 objects from various regions of Russia, taking into account both static and dynamic parameters, including the number of revisions of design and technical documentation. This approach allows evaluating the characteristics of objects at the stages of revising design documentation and developing efficiency. The identified rules can serve to optimize the management processes of design documentation, which, in turn, contributes to increasing the economic efficiency of development. Research is aimed to deepen the understanding of the relationship between objects and the termination of revision of design and technical documentation, which is of critical importance in the design and management of hydrocarbon development facilities.
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