Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Intuitive microearthquake event classification method

A classification method and micro-seismic technology, applied in the direction of seismic signal processing, etc., can solve the problems of wasting computing resources and affecting the positioning accuracy of micro-seismic events

Active Publication Date: 2017-01-25
CHINA PETROLEUM & CHEM CORP +1
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The processing flow has the following problems: First, there is no prior knowledge to classify microseismic events, and the same positioning parameters are usually selected in the positioning process, which often affects the positioning accuracy of microseismic events; Earthquake events are located, which will greatly waste computing resources, which is especially evident in the real-time monitoring process

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
  • Intuitive microearthquake event classification method
  • Intuitive microearthquake event classification method
  • Intuitive microearthquake event classification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] In order to make the above and other objects, features and advantages of the present invention more comprehensible, preferred embodiments are listed below and described in detail in conjunction with the accompanying drawings.

[0030] An intuitive method for classifying microseismic events, including:

[0031] 1) Denoise the original record to improve the signal-to-noise ratio of the record;

[0032] 2) Find out the microseismic events according to the long and short time window energy ratio method;

[0033] 3) Determine the first arrival of the microseismic event;

[0034] 4) Regularize the first arrival of the microseismic event in step 3;

[0035] 5) the microseismic first arrival in step 4) is drawn in the same coordinate system;

[0036] 6) Classify the microseismic events according to the shape of the first arrival of the coordinate system in step 5).

[0037] The above programs further include:

[0038] The first arrival of determining the microseismic event...

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 an intuitive microearthquake event classification method. The technical scheme includes: firstly, performing de-noising processing on original observation records and increasing signal-to-noise ratio of the records; finding out possible microearthquake events by a long time window and short time window proportion method; collecting first arrivals of the microearthquake events according to continuity of synthetic shafts, performing arrangement processing on the acquired first arrivals and finally superimposing all the first arrivals of the microearthquake events to display. According to distribution of the superimposed first arrivals, the microearthquake events similar in first arrival forms are defined as the same microearthquake event group, unified selection of parameters in post-processing is facilitated, and the events with the curve forms different from the overall trend are defined as stray events or invalid microearthquake events. The intuitive microearthquake event classification method has the advantages that classification of the microearthquake events is convenient, intuitive and reliable.

Description

technical field [0001] The invention relates to the field of hydraulic fracturing microseismic monitoring, in particular to an intuitive microseismic event classification method. Background technique [0002] Hydraulic fracturing technology is the main way to improve the recovery rate of unconventional oil and gas reservoirs such as shale oil and gas. Microseismic monitoring is to locate the fracture location by collecting the signal generated by hydraulic fracturing, so as to guide the fracturing operation and Evaluation of fracturing results. In the existing microseismic data processing program, the first arrival of the microseismic event is usually picked up and located directly, and then the microseismic events are divided according to the distribution of the microseismic event location results. The processing flow has the following problems: First, there is no prior knowledge to classify microseismic events, and the same positioning parameters are usually selected in t...

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
IPC IPC(8): G01V1/30
Inventor 陈雨茂左建军武小杰魏国华
Owner CHINA PETROLEUM & CHEM CORP
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
Eureka Blog
Learn More
PatSnap group products