Abstract
Relevance of the work due to the process parameters of oil reservoir in the course of normal operation of wells equipped with stationary measuring systems for monitoring and control of hydrodynamic oil development. To develop models and algorithms for adaptive identification allowing to determine the parameters of oil reservoirs during the nor-mal operation of wells and consider additional a priori information. Used theoretical and practical developments in the field of hydrodynamic research wells , system analysis, system identification based on additional a priori information , optimization of functions and linear algebra . Solving problems of identification was based on field data and bottomhole pressure workover equipped stationary measuring systems, taking into account expert assessments filtration reservoir parameters. The proposed technology, models and algorithms for designing adaptive identification system for defining the parameters of oil reservoirs in field conditions during the normal operation of wells equipped with stationary meas-uring systems information . It is shown that the developed adaptive identification algorithms based on a priori informa-tion can significantly improve the accuracy of estimates of well productivity and reservoir pressure.
Keywords: identification, adaptation, integrated systems models, algorithms, a-priori information, oil fields, wells, hydrodynamic parameters
References
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