An Intuitive Classification Method for Microseismic Events

A classification method, microseismic technology, applied in the direction of seismic signal processing, etc., can solve the problems of wasting computing resources, affecting the accuracy of microseismic event positioning, etc., and achieve the effect of convenient classification

Active Publication Date: 2019-12-20
CHINA PETROLEUM & CHEM CORP +1
View PDF3 Cites 0 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
  • An Intuitive Classification Method for Microseismic Events
  • An Intuitive Classification Method for Microseismic Events
  • An Intuitive Classification Method for Microseismic Events

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

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

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

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

[0032] 2) Find out microseismic events based on the energy ratio of long and short time windows;

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

[0034] 4) The first arrival of the microseismic event in step 3 is processed regularly;

[0035] 5) Draw the first arrival of the microseismic in step 4) into the same coordinate system;

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

[0037] The above scheme further includes:

[0038] The step 3 to determine the first arri...

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 collect the signals generated by the rock fragmentation caused by hydraulic fracturing and locate the fracture position, thereby guiding the fracturing construction and Evaluation of fracturing results. The existing microseismic data processing program usually picks up the first arrival of the microseismic event and directly locates it, and then divides the microseismic event according to the distribution of the location of the microseismic event. The processing flow has the following problems: First, there is no prior knowledge to classify microseismic events, and the same positioning parameters are u...

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 Patents(China)
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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap