Microseismic event detection and positioning method and system

An event detection and positioning method technology, applied in the field of oil and gas exploration, can solve the problems of low recognition accuracy and slow recognition speed, and achieve the effect of high detection accuracy, fast recognition speed, efficient and accurate real-time online detection

Active Publication Date: 2021-10-22
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the above-mentioned problems of slow recognition speed and low recognition precision existing in the prior art, and provides a method and system for detecting and locating microseismic events, which can realize real-time online detection and locating of microseismic events, with fast recognition speed and high recognition accuracy. high

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
  • Microseismic event detection and positioning method and system
  • Microseismic event detection and positioning method and system
  • Microseismic event detection and positioning method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] Next, the present invention will be specifically described by exemplary embodiments. However, it should be understood that the elements, structures, and features in one embodiment can also be advantageously incorporated into other embodiments without further description.

[0057] Residual network is a special deep neural network model, and the residual network adds a layer between the convolutionary operations by adding a layer of passage between the input and output of the convolution layer, the mapping link can span multiple The convolution layer may continue to deepen the depth of the network, extract more features, thereby effectively enhance the effect of the network.

[0058] A microscopic event detection method and system is provided by the present invention, and the original signal is performed, and the residual network model is established, and the model is trained, and the model is trained. The model can efficiently extract the features of the SET imaging map, rea...

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 relates to a microseism event detection and positioning method and system, and the method comprises the steps: carrying out the SET imaging of collected microseism signals of a plurality of monitoring stations in a fracturing process, dividing an image according to whether a microseism event occurs, and building a training data set and a test data set; inputting a training data set sample into the established residual error network model for training, and inputting a test data set sample into the trained residual error network model for checking the performance of the residual error network model; storing parameters of the trained residual network model; and collecting micro-seismic signals of a plurality of monitoring stations in the real-time fracturing process, establishing a to-be-tested data set, inputting the data of the to-be-tested data set into the trained residual network model for detection to obtain an imaging graph classification result, and determining whether a micro-seismic event exists and the position of a seismic source exists or not according to the imaging graph classification result. According to the invention, real-time on-line detection of the micro-seismic event and the seismic source position can be realized, the identification speed is fast, and the identification precision is high.

Description

Technical field [0001] The present invention belongs to the field of oil and gas exploration, involving monitoring data processing techniques during oil and gas well fracturing, in particular, to a microscopic event detection and positioning method and system. Background technique [0002] Microscopic hydraulic fracturing monitoring technology is an important technique in recent years of application of oil and gas resource exploration and development. Hydraulic fracturing is to inject high viscosity of high-viscosity through the wellbore to the target reservoir, so that the formation rock is broken and the microstatic signal having a low energy level is low. The microscopic hydraulic fracturing monitoring technology is to detect and process this microscopic signal to determine the source point of each microscopic event, which in turn describes the formation and distribution of fracturing split slit through a series of distributions of the source point. [0003] Seismic emission c...

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): G01V1/28G01V1/50G06K9/62G06N3/04G06N3/08
CPCG01V1/288G01V1/50G06N3/084G06N3/045G06F18/214
Inventor 高明官强王维波盛立
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products