Rock longitudinal wave speed prediction method based on ellipsoid double porosity model

A dual-porosity, longitudinal wave velocity technology, applied in the field of seismic rock physics, can solve complex problems and achieve the effect of velocity prediction flexibility

Active Publication Date: 2014-08-13
TSINGHUA UNIV +1
View PDF5 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Compared with the prior art, the present invention introduces the ellipsoidal plaque saturation model, and includes the spatial heterogeneity of the solid skeleton and the fluid, so its velocity prediction is more flexible and close to reality, and can solve complex problems. Prediction of P-wave in multi-fluid and multi-porous rock

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
  • Rock longitudinal wave speed prediction method based on ellipsoid double porosity model
  • Rock longitudinal wave speed prediction method based on ellipsoid double porosity model
  • Rock longitudinal wave speed prediction method based on ellipsoid double porosity model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0085] Example 1 Prediction of velocity of low-frequency compressional waves in low-porosity sandstone by partially saturated ellipsoidal patch model

[0086] This embodiment adopts the wave velocity observation data (Murphy, Acoustic Measures of Partial Gas Saturation in Tight Sandstones, JOURNAL OF GEOPHYSICAL RESEARCH, 1984) published in 1984 of the low-frequency low-porosity unsaturated sandstone, and compares and analyzes with the result predicted by the present invention, simultaneously It was also compared with the predictions of three other partial saturation models for spherical plaques.

[0087]Fort Union sandstone is fluvial graywacke, which contains approximately from 65 to 95% quartz. These rocks contain more than 25% unstable material (ie, feldspar and rock fragments), more gravel than feldspar, with more interstices or mineral rubble (usually carbonates). The grain diameter of Fort Union sandstone is between 0.125 and 0.15mm. The rock parameters are: matrix bul...

Embodiment 2

[0093] Example 2 Prediction of Seismic Wave, Sound Wave and Ultrasonic Velocity of High Permeability North Sea Sandstone

[0094] In this example, the wave velocity observation data of North Sea sandstone (Pride and others2004; White1975) was used to calculate the wave velocity in different frequency ranges, and compared with the prediction results of three patch partial saturation models including the present invention.

[0095] The mineral composition of this North Sea sandstone sample consists of 80% quartz, 15% feldspar, and 5% clay. The sandstone grain diameter is about 0.1, and the rock parameters are (Boruah and Chatterjee2010): matrix bulk modulus 39.47GPa, skeleton bulk modulus 5.33Gpa, skeleton shear modulus 3.54Gpa, brine bulk modulus 2.48GPa, air bulk modulus Volume 0.01MPa, water viscosity 0.0011Pa s, air viscosity 1.81x10 -5 Pa·s, the average density of matrix is ​​2.63g / cm3, the density of salt water is 1.06g / cm3, and the density of air is 1.2x10 -3 g / cm3, 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 rock longitudinal wave speed prediction method based on an ellipsoid double porosity model. The method comprises the following steps: rock physical parameters are obtained by acquiring well-logging data and experimental observation data, and a dry skeleton model and a porosity fluid model of the rock are generated; a double porosity medium ellipsoid plaque saturation model is established, the potential energy / kinetic energy of the porosity medium and kinetic energy and dissipative equation of the fluid in an inner embedded body are calculation, an Lagrange equation system is derived, and the longitudinal wave and transverse wave speeds are solved; according to the plane wave analysis method, the dispersion relationship of the wave equations is obtained, and the longitudinal wave speed dispersion and attenuation computational formula is obtained. According to the invention, the rock longitudinal wave speed prediction accuracy can be improved.

Description

technical field [0001] The invention relates to a method for predicting velocity dispersion and attenuation in the field of seismic rock physics, in particular to a method for predicting compressional wave velocity of a patch model of a porous medium containing an ellipsoidal non-uniform doped body / fluid saturated region. Background technique [0002] In recent years, with the rapid development of industry and the increasing demand for oil and gas resources, finding new resources and exploring oil areas has become our primary goal. With the large-scale exploitation of oil and gas resources, the underground oil is in a state of "highly dispersed overall and relatively enriched locally", which brings great difficulties to the exploitation. This puts forward higher requirements for exploration technology, and it is necessary to improve the resolution of acoustic wave exploration to provide a basis for optimal well location deployment. Using acoustic waves to trap oil and gas r...

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): G01V1/50
Inventor 孙卫涛刘嘉玮巴晶
Owner TSINGHUA UNIV
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