Three-modulus-based shale ground stress three-dimensional seismic characterization method

A 3D seismic and ground stress technology, applied in the direction of seismic signal processing, etc., can solve the problems of limited stress prediction ability, limited accuracy of stress model, and difficulty in realizing ground stress plane prediction, etc.

Active Publication Date: 2016-04-06
CHINA PETROLEUM & CHEM CORP +1
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Accurate prediction of in-situ stress has always been a difficult problem to be solved. In the past, the research on in-situ stress was mostly based on the establishment of mathematical stress models, and the in-situ stress prediction based on elastic finite element method simulation and neural network was carried out, mainly based on the mathematical stress model The well-logging calculation method based on this method has great limitations and errors. The calculation results are mostly based on the well point s

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
  • Three-modulus-based shale ground stress three-dimensional seismic characterization method
  • Three-modulus-based shale ground stress three-dimensional seismic characterization method
  • Three-modulus-based shale ground stress three-dimensional seismic characterization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] This embodiment provides a method for comprehensively and quantitatively evaluating the horizontal stress of shale based on petrophysical parameters, which is applicable to the research work area. The basic idea of ​​discriminant analysis is to use the correlation judgment between logging data and in-situ stress to optimize the effective characterization factors of in-situ stress; to characterize the stress through multi-parameter regression fitting and effective correction. On this basis, the pre-stack inversion is carried out by using the seismic data, and the relevant elastic parameter body is obtained, and the plane distribution law of the ground stress is obtained by calculation.

[0033] This embodiment is realized through the following technical procedures: 1. Analyzing the sensitive parameters representing the ground stress. According to the measured well logging information, the formation information evaluation parameters are classified into rock physical elast...

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 three-modulus-based shale ground stress three-dimensional seismic characterization method. Firstly, three-dimensional seismic characterization of a shale ground stress is achieved. Different logging information of a stratum is analyzed and judged through regressive analysis by utilizing actual logging data, three-modulus rock physics elastic parameters are preferably regarded as characterization independent variables for stress evaluation, and a maximum principal stress and a minimum principal stress are characterized; the advantages of a seismic data three-dimensional data volume are exerted in space variation prediction, and an elastic parameter data volume of stress characterization is obtained through inversion by combining a seismic prestack elastic inversion technology. Finally, the three-dimensional quantitative evaluation of the ground stress is achieved through analyzing and correcting errors of the data volumes, thereby providing a three-dimensional quantitative judgment method for prediction and effective evaluation of the ground stress, and effectively solving the problem of stress seismic prediction. The three-modulus-based shale ground stress three-dimensional seismic characterization method increases the precision of stress prediction, and provides effective technical guidance for unconventional oil and gas exploration.

Description

technical field [0001] The invention relates to the technical field of geological exploration data processing of unconventional oil and gas reservoirs, in particular to a three-dimensional seismic prediction that uses rock physical parameters as the analysis basis and uses rock elastic modulus to predict in-situ stress, and is a quantitative characterization method for in-situ stress . Background technique [0002] In-situ stress is one of the important evaluation parameters for oil and gas enrichment and accumulation, and the superior productivity of reservoirs. Its related theories are now applied in various links of oil and gas exploration and development. The in-situ stress field and its evolution are closely related to the migration and accumulation of oil and gas. . In oil and gas field development and engineering, the study of in-situ stress is now widely used in oil layer fracturing, oil layer perforation, well pattern deployment, reservoir fracture prediction, casi...

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): G01V1/28G01V1/30
Inventor 张营革谭明友高秋菊刘建伟林述喜张明秀宋亮魏欣伟巴素玉朱定蓉
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