Well drilling slope level azimuth angle error compensating method based on neural network

Abstract

The present invention relates to a borehole clinometer azimuth angle error compensation method based on neural network. Said method includes the following four steps: 1), according to the characteristics of borehole clinometer azimuth angle output signal defining structure model of neural network; 2), obtaining training sample of neural network; 3), making neural network training and obtaining optimum neural network model parameter; and 4), utilizing inclination angle, primarily-calculated azimuth angle and tool face angle to calculate real azimuth angle.

Description

technical field [0001] The invention relates to a drilling inclinometer, in particular to a system error compensation method of the drilling inclinometer, which belongs to the application field of inertia technology and is suitable for directional drilling, well trace measurement and the like. Background technique [0002] The gyro inclinometer is an instrument that can be used for sidetracking and measuring well tracks in oilfield production. The window is actually opened in the direction of the oil layer, so that the old wells and old wells can be redeveloped, which not only saves expenses, but also greatly saves manpower and material resources. The currently widely used drilling inclinometer is composed of a two-degree-of-freedom flexible gyroscope and two quartz accelerometers. It adopts the working mode of the gyro compass and calculates the borehole inclination angle and tool face angle from the output of the accelerometer. On this basis, the azimuth angle can be calc...

AI Technical Summary

Problems solved by technology

Selecting too many test points will increase the time to build the table, and selecting too few test points will affect the accuracy of compensation

The table look-up method currently used ignores the impact of the tool face angle on the azimuth angle. If the inclination angle, azimuth angle and tool face angle of the inclinometer change simultaneously to create a table for the output of the azimuth angle, the first is the workload of creating the table. It will be very large. Second, it is difficult to realize the interpolation algorithm in the case of three variables, and the compensation accuracy is not high.

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