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

CO2 gas drive front edge position judgment method and model training method and device

A leading edge position, model training technology, applied in measurement devices, neural learning methods, biological neural network models, etc., can solve the problems of small observation range, low resolution, and long inversion time.

Active Publication Date: 2020-05-19
CHINA UNIV OF MINING & TECH (BEIJING)
View PDF8 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Full waveform inversion can be based on VSP seismic data and surface seismic data. VSP data has high resolution but small observation range, and surface seismic data has large observation range but low resolution.
Moreover, the calculation amount of the full waveform inversion is huge, and the calculation speed of the computer is very high, and the inversion takes a long time, which is an inefficient calculation method.

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
  • CO2 gas drive front edge position judgment method and model training method and device
  • CO2 gas drive front edge position judgment method and model training method and device
  • CO2 gas drive front edge position judgment method and model training method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. the embodiment. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0060] The massive consumption of fossil energy has led to the increase of CO in the atmosphere 2 Concentrations are increasing, and the current CO 2 Capture, utilization and storage is the key to reducing CO 2 The most effective means of concentration. Considering its economic feasibility, people mainly implement CO 2 One of the problems faced by oil flooding and storage project...

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 CO2 gas drive front edge position judgment method and a model training method and device and relates to the technical field of CO2 sealing monitoring. The model training method comprises the steps: obtaining vertical seismic profile data of sample logging; performing full-waveform inversion on the vertical seismic profile data to obtain a full-waveform inversion result; inputting the vertical seismic profile data and the full-waveform inversion result into a preset neural network model for training; and obtaining a CO2 gas drive front edge position judgment model. Timeshifting ground seismic data of multiple periods are input into the CO2 gas drive front edge position judgment model which is trained in advance, reservoir parameters of the multiple periods are output, and the CO2 gas drive front edge position is obtained through the analysis of a difference data body. According to the method, the ground earthquake and the VSP data are fully utilized, the resolution is not reduced while the large observation range of the ground earthquake data is ensured, and the calculated amount of full waveform inversion is reduced.

Description

technical field [0001] The present invention relates to CO 2 Storage monitoring technology field, especially related to a CO 2 A method for judging the position of a gas drive front and its model training method and device. Background technique [0002] Current CO 2 Storage monitoring mainly adopts time-lapse seismic, time-lapse VSP (Vertical Seismic Profiling, vertical seismic profile), transient electromagnetic method, etc., and judges CO2 by the difference of seismic attributes in different periods. 2 The migration law of the reservoir; based on the full waveform inversion method of time-shifted VSP data, the reservoir velocity changes in different periods are calculated, and then the CO 2 The position of the gas drive front. [0003] In the prior art, the full waveform inversion is commonly used to invert and calculate the effective information in the seismic records, so as to judge the CO 2 The location of the gas drive front. Full waveform inversion can be based ...

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): G01V1/30G01V1/28G01V1/40G06N3/08
CPCG01V1/282G01V1/303G01V1/306G01V1/307G01V1/40G01V2210/624G06N3/08
Inventor 李冬彭苏萍郭银玲卢勇旭崔晓芹
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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