Oil-Gas well trajectory prediction and control with use of neural network technology

V. I. Vasilyev; I. F. Nugaev

Computer Science and Information Technologies, Computer Science and Information Technologies 2009

V. I. Vasilyev, I. F. Nugaev

Last modified: 2021-01-28

Abstract

The problem of oil-gas well trajectory-prediction and control is investigated. The possibility of identification of drill bit motion predictive model on the basis of neural network technologies is shown.The approach to structural and parametrical identification of the drill bit neural network model based on use of two RBF networks is offered. The analysis of this model effectiveness is carried out.The possibility of precision increase for the well trajectory prediction compared to the kinematics approach of the model construction is shown.

Keywords

Oil-Gas; neural network technology; trajectory-prediction

References

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