Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Drilling anomaly detection method, device and equipment, drilling well and storage medium

A detection method and anomaly technology, applied in the field of oil and gas exploration, can solve the problems of low reliability of anomaly detection, achieve the effect of reducing false alarm rate, reducing well control risk and improving reliability

Pending Publication Date: 2021-12-10
CHINA PETROLEUM & CHEM CORP +1
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a method, device, equipment, drilling and storage medium for drilling anomalies, so as to solve the problem of low reliability of anomaly detection in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Drilling anomaly detection method, device and equipment, drilling well and storage medium
  • Drilling anomaly detection method, device and equipment, drilling well and storage medium
  • Drilling anomaly detection method, device and equipment, drilling well and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] specifically, figure 1 It is a flow chart of Embodiment 1 of the detection method for drilling abnormality of the present invention, as figure 1 As shown, the abnormal drilling method of the present embodiment may specifically include the following steps:

[0056] 100. Acquire the first actual data of the drilling parameters in the first historical time period before the start time of the current detection time period and the second actual data of the drilling parameters in the second historical time period;

[0057] In this embodiment, multiple dynamic time slices may be set according to actual requirements. Wherein, each dynamic time slice includes the time period in which drilling has been carried out and the time period in which drilling anomalies need to be detected, and the time period in which drilling anomalies need to be detected is used as the time sliding step, so that after moving sequentially according to the time sliding step, each The drilling parameter...

Embodiment 2

[0075] figure 2 It is the flow chart of Embodiment 2 of the detection method for abnormal drilling of the present invention, as figure 2 As shown, the drilling abnormality detection method of this embodiment is based on the above embodiments, and further describes the technical solution of the present invention in more detail.

[0076] like figure 2 As shown, the abnormal drilling method of this embodiment may specifically include the following steps:

[0077] 200. Acquire the first actual data of the drilling parameters in the first historical time period before the start time of the current detection time period and the second actual data of the drilling parameters in the second historical time period;

[0078] The implementation process of this embodiment is the same as the implementation process of step 100 in the above-mentioned embodiment, please refer to the relevant records above for details, and details are not repeated here.

[0079] 201. Perform training on th...

Embodiment 3

[0106] Image 6 It is a structural schematic diagram of an embodiment of the abnormal drilling detection device of the present invention, such as Image 6 As shown, the drilling abnormality detection device of this embodiment includes an acquisition module 60 , a training module 61 , a prediction module 62 , a setting module 63 , a detection module 64 and an output module 65 .

[0107] The obtaining module 60 is used to obtain the first actual data of the drilling parameters in the first historical time period before the start time of the current detection time period and the second actual data of the drilling parameters in the second historical time period; wherein, the first The start time of the historical time period is earlier than the start time of the second historical time period; the end time of the first historical time period is earlier than or equal to the end time of the second historical time period;

[0108] The training module 61 is used to train the first act...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a drilling anomaly detection method, device and equipment, a drilling well and a storage medium. The method comprises the steps that first actual data of drilling parameters in a first historical time period before the starting time of a current detection time period and second actual data of the drilling parameters in a second historical time period are acquired; the first actual data of the drilling parameters is trained to obtain a current prediction model of the trained drilling parameters; the second actual data of the drilling parameters is input into the current prediction model for prediction, and after prediction data of the drilling parameters in the current detection time period is obtained, a threshold value range of the drilling parameters is set; whether the current actual data of the drilling parameters in the current time period is within the threshold value range or not is detected; and if the current actual data of the drilling parameters is not within the threshold value range, anomaly prompt information is output, so that the false alarm rate and the missing alarm rate of drilling anomalies are reduced, the reliability of anomaly detection is improved, and then the well control risk is reduced.

Description

technical field [0001] The invention belongs to the technical field of oil and gas exploration, and in particular relates to a drilling abnormality detection method, device, equipment, drilling and storage medium. Background technique [0002] With the development of exploration and development, the geological environment encountered by petroleum engineering is becoming more and more complex, and the drilling conditions are becoming more and more harsh. Complex formations such as narrow density windows, multi-pressure systems, high temperature and high pressure are common. Due to complex formations, abnormal events such as leakage and overflow are prone to occur, which leads to long drilling cycle and increased drilling operation costs, which seriously affects the process and benefits of oil and gas exploration and development. [0003] Usually, each drilling anomaly is mostly caused by the change of drilling parameter data. Therefore, when detecting drilling anomalies, most...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): E21B47/00E21B47/04E21B47/09E21B47/10
CPCE21B47/00E21B47/04E21B47/09E21B47/10
Inventor 王果刘匡晓刘彪周号博张俊孙明光潘丽娟范红康李双贵刘劲歌
Owner CHINA PETROLEUM & CHEM CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com