Fault detection method and device for pressure controlled drilling process based on slow characteristic analysis

A technology for managed pressure drilling and fault detection, which is applied in earth-moving drilling, wellbore/well components, construction, etc., can solve problems such as increasing drilling cost, false alarm information, inability to distinguish drilling faults, etc., to reduce the false alarm rate , the effect of improving the accuracy

Active Publication Date: 2018-10-30
CHINA UNIV OF PETROLEUM (BEIJING)
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  • Application Information

AI Technical Summary

Problems solved by technology

In this case, the traditional monitoring method based on monitoring the shift of the steady-state operating point will give false alarm information, unable to distinguish between normal bottomhole pressure setpoint changes and drilling failures that actually occurred, and make drillers fall into the trap. A large number of false alarm informatio

Method used

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Examples

Experimental program
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Effect test

Example Embodiment

[0094] Example

[0095] Use Drillbench to simulate the controlled pressure drilling process. In the simulation process, 8 measured variables of bottom hole pressure, drill bit pressure drop, mud density, mud pumping volume, mud return volume, throttle valve opening, throttle valve pressure and mud pump pressure were collected, and the data Add Gaussian white noise. Collect 2000 sample data under normal working conditions as the training data set. In addition, the occurrence of 3 types of faults was simulated. 2000 sample points were collected for each type of fault, and the fault was added at the 401st sampling time. The types of the 3 types of faults are shown in Table 1.

[0096] Table 1

[0097]

[0098] In the pressure-controlled drilling simulation of this embodiment, the method for detecting faults in the pressure-controlled drilling process based on slow feature analysis of the present invention respectively sets the quantile q=0.1 and the significance level α=0.01. The fault

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Abstract

The invention provides a fault detection method and device for a pressure controlled drilling process based on slow characteristic analysis, which comprises the following steps of: acquiring first pressure controlled drilling data, carrying out normalization processing, whitening treatment and singular value decomposition on the drilling data, and calculating a change matrix, calculating the dominant slow characteristic and the residual slow characteristic according to the normalization data and the change matrix of the first pressure controlled drilling, and calculating the control limit of four statistical quantities on the basis of a given significant level; acquiring second pressure controlled drilling data in real time and carrying out normalization processing on the drilling data; calculating the dominant slow characteristic and the residual slow characteristic of the second pressure controlled drilling normalization data according to the normalization data and the change matrix,and calculating the four statistical quantities of the second pressure controlled drilling data according to the normalization data and the change matrix; comparing the four statistical quantities ofthe second pressure controlled drilling data with the control limits of the four statistical quantities, and analyzing the fault detection result of the pressure controlled drilling process accordingto the comparison result. According to the scheme, the accuracy of fault detection of the pressure control drilling process can be effectively improved.

Description

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Claims

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Application Information

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Owner CHINA UNIV OF PETROLEUM (BEIJING)
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