Reservoir shear wave velocity prediction method based on rock physics

A technology of shear wave velocity and petrophysics, which is used in seismology and seismic signal processing for logging records, and can solve the problems of inaccurate shear wave velocity and inaccurate modulus constant.

Active Publication Date: 2013-12-04
CHINA PETROLEUM & CHEM CORP +1
View PDF3 Cites 48 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The mineral modulus will vary in different regions and different reservoir characteristics (depth and temperature, etc.) (especially mudstone), so the modulus constant measured in the laboratory in different regions and different reservoir applications is not accurate
The shear wave velocity calculated using these moduli is also inaccurate

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
  • Reservoir shear wave velocity prediction method based on rock physics
  • Reservoir shear wave velocity prediction method based on rock physics
  • Reservoir shear wave velocity prediction method based on rock physics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The present invention is further described below in conjunction with embodiment. The scope of the present invention is not limited by these examples, and the scope of the present invention is set forth in the claims.

[0049] The objective function of log curve inversion can be defined as:

[0050] OF = min [ w p Σ ( v p , sat M - v p , sat O ) 2 + w ρ Σ ( ρ sat M - ρ ...

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 reservoir shear wave velocity prediction method based on rock physics. The method comprises the steps that (1) supposing that the bulk modulus, the shear modulus and the density of a destination interval mineral are unknown constants, the error between a longitudinal wave velocity and a measured longitudinal wave velocity is acquired according to equation modeling, and the error between the acquired density and the measured density is calculated; (2) according to the minimum error criterion, the bulk modulus, the shear modulus and the density of a mineral component are inverted through a genetic algorithm; (3) and the shear wave velocity is calculated. According to the step (1), supposing that the elastic modulus of each rock component is an unknown constant in a reservoir logging curve section, the objective function of the inversion of the logging curve can be defined that a superscript M represents a simulation longitudinal wave velocity, O represents a logging observation longitudinal wave velocity, and w Rho and w rho represent normalized weighted coefficients; and the objective function is a nonlinear function of the bulk modulus, the shear modulus and the density of each mineral component. The method can be applied to a sand shale reservoir, and carbonate rock and other complex reservoirs.

Description

technical field [0001] The invention relates to the technical field of seismic exploration and development of oil and gas and coalbed methane, in particular to a method for predicting reservoir shear wave velocity based on rock physics. Background technique [0002] P-wave and shear-wave velocity intersection analysis, modulus intersection analysis and Poisson's ratio analysis are all important methods for analyzing reservoir oil and gas, and these analyzes need to know the logging data of compressional-wave and shear-wave velocity. But in reality, only a few wells in a work area have shear wave logging data, or even no shear wave logging data. Therefore, it is very important to predict the shear wave velocity from the compression wave velocity and the log evaluation of the compression wave velocity and the reservoir prediction. [0003] Petrophysicists Greenberg, K.L. and J.P.Castagna (1992) gave the empirical relational formula Vp=1.16Vs+1.36 for the velocity of water-bea...

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): G01V1/28G01V1/40
Inventor 刘百红许自龙孙成龙宋志翔杨祥森亢永敢
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