«Automation and Informatization of the fuel and energy complex»

Identification of well inflow parameters with electric submersible pumps in the mode of test frequency disturbances

UDC: 622.276:681.5
DOI: -

Authors:

¹ Industrial University of Tyumen, Tyumen, Russia

Keywords: models, algorithm, oil well, electric submersible pump, identification, mode, frequency disturbances, filtration, estimation accuracy

Annotation:

The modern development of "cloud" technologies of data storage and transmission with the expansion of control and regulation potentials of wells equipped by electric submersible pumps (ESP) creates a real basis for building autonomous oil production systems. An important component of such solutions is the subsystems for supporting well models and, first of all, inflow parameters identification in the real operational mode. The authors of the article illustrate the technique of synthesizing an evaluation algorithm for a continuous well stock according to the data of field monitoring of the deep and wellhead states of the system, under the action of test frequency disturbances of the flow rate. The representation of the quadratic inflow model as a linear regression allows using the classical least squares method as a decisive rule. Short-term dynamic frequency disturbances of the system operational states within the boundaries of functional stability are aimed at increasing the informative value of the training data sample and, as a result, at ensuring a higher level of stability of the obtained inflow estimates. The presented results of model computational tests on a "noisy" data sample confirm the consistency of the proposed solution for autonomous execution. However, the nature of the problem of distributed estimation of the remote filtration parameters of the radial inflow model to control the disturbed pressure dynamics at the well bottom point l retains the problem of low conditionality of the control data and the subsequent selection of regularization schemes.

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