Engineering parameter measurement and risk monitoring system based on interpolation regression method

Abstract

The invention belongs to the technical field of drilling engineering, and in particular relates to an engineering parameter measurement and risk monitoring system based on an interpolation regression method. An intelligent kelly connected to the engineering parameter measurement sub-section and set at the wellhead, and a data processing terminal connected to this intelligent kelly. The invention measures downhole real-time engineering parameters by measuring subsections of downhole engineering parameters, transmits them upward to the intelligent kelly at the wellhead in the form of electromagnetic waves, and then sends the data to the data processing terminal by the intelligent kelly, and the data processing terminal returns by interpolation The algorithm fits the engineering parameter data of the whole wellbore, and also monitors the overall process of drilling in real time. Once there is a drilling risk, it will give an early warning in time to prevent the occurrence of downhole accidents and complex situations, and realize scientific drilling.

Description

technical field [0001] The invention belongs to the technical field of drilling engineering, in particular to an engineering parameter measurement and risk monitoring system based on an interpolation regression method. Background technique [0002] The ultimate goal of scientific drilling is to improve drilling efficiency and reduce production costs. In order to realize scientific drilling, on the one hand, it is required to obtain and understand the downhole conditions in a timely manner during the drilling process, transmit downhole parameters to surface equipment in real time, and cooperate with surface drilling parameters so that complex situations and drilling accidents can be carried out in real time and accurately. On the other hand, through the comparative analysis of parameters, combined with the formation conditions to be drilled, the drilling parameters and technical measures with the lowest drilling cost are optimized in real time to improve drilling efficiency. ...

AI Technical Summary

Problems solved by technology

[0003] (1) Downhole data is uploaded in pulse mode, the transmission speed is slow, and the data response to complex and abnormal situations is not timely;

[0004] (2) The amount of parameter data obtained is small, and the parameter information of the entire wellbore is lacking. The calculation software can only perform fitting calculations based on ground parameters, and the theoretical value and the actual field have large errors, which cannot accurately reflect the actual situation of the entire well section;

[0005] (3) On-site manual analysis and judgment mostly rely on the experience of drilling engineers, unable to form real-time automatic analysis and calculation, unable to intelligently monitor and identify, and lagging behind on-site response

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