This paper addresses the issue of establishing intelligent technical complex employing real time adaptive control of oil dehydration process. For this purpose functional model of oil dehydration process was developed to present emulsified crude oil as a non-linear multi-dimensional and multi-loop controlled object. Such model became the basis for the development of adaptive automated control system. The system incorporates three adaptive loops. The first loop adjusts control activity in accordance with the response of reference model. The second loop adjusts object control in accordance with the disturbance. The third adaptive loop aggregates information on control command values and object response, for regular update of the reference model in the first loop. Artificial neural network was built for implementing smart control solutions. Neural network was trained using experience-based data from Oil Processing Recommendations by Reservoir Engineering Division of Giprovostokneft. Designed adaptive system enables monitoring of residual water content in oil as well as input parameters of dehydration process. It also calculates transport delay for emulsion breakdown, and enables process control in accordance with the design values of dehydration process model. Control architecture can be integrated into operating facilities or used in the new oil processing facilities. Individual reference model shall be prepared for each object considering properties and content of crude oil emulsion. Adaptive control can be part of the general control system of oil processing facility. The proposed system is one of the phases of unmanned technologies implementation allowing the use of self-contained unattended facilities.
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