Intelligent safety risk early warning method and system for drilling engineering

A drilling engineering and safety risk technology, applied in the field of drilling engineering intelligent safety risk early warning methods and systems, can solve problems such as algorithm defects, poor model applicability, and insufficient model applicability, so as to reduce the accident rate, improve work efficiency, and achieve unattended effect

Active Publication Date: 2019-05-21
WUHAN SHENGHUAWEIYE TECHNOLGY CO LTD
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  • Summary
  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, there are still many difficulties in the exploration of engineering early warning at home and abroad: (1) The applicability of the model is insufficient
For example, foreign forecast models based on data from adjacent wells, when there is a large difference in the formation distribution between the drilling well and the adjacent wells, there will be false alarms and other phenomena in the early warning; some early warning models in China mostly use fixed and customized methods, and the applicability of the model is poor ; (2) The defect of the algorithm itself
Customized adjustment algorithms require a large amount of expert experience and data, and these experiences and data often have regional differences and cannot be shared in a timely and complete manner, making full use of information impossible

Method used

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  • Intelligent safety risk early warning method and system for drilling engineering
  • Intelligent safety risk early warning method and system for drilling engineering
  • Intelligent safety risk early warning method and system for drilling engineering

Examples

Experimental program
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Effect test

Embodiment 1

[0061] Embodiment one, as Figure 1-6 As shown, a drilling engineering intelligent safety risk early warning method includes the following steps:

[0062] S1: Obtain the abnormal data of the adjacent wells to be drilled through the preset knowledge base, and establish the abnormal early warning model of the adjacent wells according to the abnormal data of the adjacent wells;

[0063] Step 2: Obtain real-time data information of the well to be drilled during the drilling process;

[0064] Step 3: Based on the abnormal early warning model, perform early warning analysis on the real-time data information, and send the early warning analysis results to the remote terminal.

[0065] Based on the search of the preset knowledge base, the abnormal data of adjacent wells can be obtained, which provides data support for the establishment of the abnormal early warning model of the well to be drilled, and facilitates the early warning analysis of the real-time data information during the...

Embodiment 2

[0134] Embodiment two, such as Figure 7 As shown, an intelligent safety risk early warning system for drilling engineering, including a search module, an abnormal early warning model establishment module, an acquisition module and a processing module;

[0135] The search module is used to obtain abnormal data of adjacent wells to be drilled through a preset knowledge base;

[0136] The abnormal early warning model establishment module is used to establish the abnormal early warning model of the well to be drilled according to the abnormal data of the adjacent well;

[0137] The collection module is used to obtain real-time data information of the well to be drilled during the drilling process;

[0138] The processing module is configured to perform early warning analysis on the real-time data information based on the abnormal early warning model, and send the early warning analysis results to the remote terminal.

[0139] Based on the search module, the abnormal data of adj...

Embodiment 3

[0149] Embodiment 3. Based on Embodiment 1 and Embodiment 2, this embodiment provides another intelligent safety risk early warning system for drilling engineering, including a processor, a memory, and a program stored in the memory and operable on the processor. A computer program, the specific steps of S1-S3 in Embodiment 1 are implemented when the computer program runs.

[0150] Through the computer program stored in the memory and run on the processor, the intelligent safety risk warning system for drilling engineering of the present invention is realized, which facilitates real-time monitoring of the drilling work at the well site, and when an abnormality occurs, relevant personnel can be notified in time to adopt corresponding decisions. It has achieved timely tracking, forecasting and early warning, which can effectively avoid well site risks, reduce the incidence of accidents, realize efficient drilling, intelligent decision-making, unattended well site, higher intellig...

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Abstract

The invention relates to an intelligent safety risk early warning method and system for drilling engineering. The method comprises the steps: obtaining adjacent well abnormal data of a to-be-drilled well through a preset knowledge base, and building an abnormal early warning model of the to-be-drilled well according to the adjacent well abnormal data; acquiring real-time data information of the to-be-drilled well in a drilling process; and performing early warning analysis on the real-time data information based on the abnormity early warning model, and sending an early warning analysis resultto a remote terminal. According to the method, the abnormal early warning model is established, early warning analysis is carried out based on the abnormal early warning model; tracking, forecastingand early warning can be carried out in time, the well site risk can be effectively avoided, the accident occurrence rate is reduced, efficient drilling and intelligent decision making are achieved, unattended operation of the well site is achieved, the intelligent degree is higher, and the working efficiency is obviously improved.

Description

technical field [0001] The invention relates to the field of energy technology, in particular to an intelligent safety risk early warning method and system for drilling engineering. Background technique [0002] Petroleum drilling is a complicated underground project, and there are a lot of fuzzy, random and uncertain factors. Accidents may occur at any time during the drilling construction process, which seriously threatens the safety of drilling. According to the data, the annual drilling construction accident handling The time accounts for 6-8% of the total time, causing a huge waste of funds, but also accompanied by shocking environmental damage. [0003] How to predict the possible drilling abnormalities during the drilling process, and how to give timely alarm to the drilling abnormalities that occur are the difficult problems facing the oilfield enterprises. Traditional engineering early warning methods mainly rely on human factors, including the analysis conclusions...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21B47/00E21B49/00G06F16/29G06F16/248
Inventor 邱儒义
Owner WUHAN SHENGHUAWEIYE TECHNOLGY CO LTD
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