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

Tectonic background-based gravity fracture image recognition method

An image recognition and background technology, applied in the field of gravity fracture image recognition based on structural background, can solve the problems of wide gradient band, inaccurate trend recognition, and low lateral resolution.

Active Publication Date: 2020-01-17
CHINA PETROLEUM & CHEM CORP +1
View PDF7 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these conventional methods have some technical defects, such as not obvious fracture boundary features, wide gradient zone, low lateral resolution, and inaccurate identification of fracture position and trend; in addition, because only abnormal step zones are processed, it is impossible to Finely describe the nature of different levels of fractures in the region, resulting in low accuracy in identifying fractures from gravity data

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
  • Tectonic background-based gravity fracture image recognition method
  • Tectonic background-based gravity fracture image recognition method
  • Tectonic background-based gravity fracture image recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to make the above and other objects, features and advantages of the present invention more comprehensible, the preferred embodiments are listed below and shown in the accompanying drawings in detail as follows.

[0033] Such as figure 1 as shown, figure 1 It is a flow chart of the gravity fracture image recognition method based on the structural background of the present invention.

[0034] Step 101, preprocessing the Bouguer gravity anomaly to form basic data for data processing.

[0035] Preprocess the Bouguer gravity anomaly scattered point data, including distorted point elimination, adjustment and gridding, so that the gravity anomaly measurement point values ​​can be reasonably restored and form the gridded Bouguer gravity anomaly data for processing and interpretation in the next step;

[0036] The specific steps of the Bouguer gravity anomaly preprocessing are:

[0037] 1) Elimination of distortion points: According to the geological background, the ...

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 provides a tectonic background-based gravity fracture image recognition method. The tectonic background-based gravity fracture image recognition method comprises the steps: 1, bouguer gravity anomaly preprocessing is conducted, and basic data for carrying out processing and explaining is formed; 2, gravity difference trend surface field source separation is conducted, and gravity anomaly responses of a target strata are quantitatively depicted; 3, gravity anomaly enhancing and processing conversion are conducted, linear structure weak information is enhanced, and small-level fracture linear images are highlighted; 4, multiple processing conversion results are jointed to establish a nonlinear target function of a narrowing gradient zone; and 5, comprehensive analysis on the fracture linear images is conducted, and different levels of fracture occurrences and combination forms are determined. According to the tectonic background-based gravity fracture image recognition method, the effectiveness and practicability that gravity data fine depict a fracture target are improved, the lateral resolving capacity is improved, the fracture boundary characteristic is highlighted,and a fracture tectonic framework can be clearly recognized.

Description

technical field [0001] The invention relates to the technical field of regional structural fracture identification, in particular to an image identification method for gravity fractures based on structural background. Background technique [0002] Research on faults is of great significance in prospecting for ore, water, oil and gas, and construction of water conservancy projects, because faults are channels for ore fluids and control the formation and occurrence of ore bodies. Faults can also destroy the formed ore bodies, and the continuation of the ore bodies can only be inferred based on the nature of the faults. Faults are important pathways for oil and gas migration and enrichment, and fault structures must be ascertained in oil and gas exploration. When carrying out engineering construction, it is necessary to have a detailed understanding of the fault conditions of the foundation to determine a better engineering base and ensure the stability of the project. [000...

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): G01V7/06
CPCG01V7/06
Inventor 冯国志谷玉田林会喜谭绍泉郭涛尹克敏王树华李守济张建华杨国杰
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