Pore structure classification and recognition method based on magnetic resonance imaging T2 spectrum sensitive parameters

A nuclear magnetic resonance and pore structure technology, which is used in electrical/magnetic exploration, suspension and porous material analysis, and material analysis. Evaluate applications, etc.

Active Publication Date: 2018-12-18
SOUTHWEST PETROLEUM UNIV
View PDF9 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0022] This technology is limited to laboratory shale rock sample measurement conversion analysis, and has not been applied to nuclear magnetic resonance logging, downhole formation analysis statistics, and reservoir pore structure classification and evaluation applications

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
  • Pore structure classification and recognition method based on magnetic resonance imaging T2 spectrum sensitive parameters
  • Pore structure classification and recognition method based on magnetic resonance imaging T2 spectrum sensitive parameters
  • Pore structure classification and recognition method based on magnetic resonance imaging T2 spectrum sensitive parameters

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and examples.

[0050] Different types of pore structure characteristics

[0051] 1. Type I pore structure

[0052] The samples were taken from well NX1, with a depth of 1678.00m, Por=12.7%, Perm=0.340mD. S AB segment is longer, S Hgmax =90.82%, P d =1.12MPa, S BVI =41.38%, T 2cutoff =9.35ms, T 2aver =13.69ms, Peak 2 =0.34, the main distribution range of pore throat radius is 0.0643-0.253μm ( figure 1 ).

[0053] 2. Type II pore structure

[0054] The sample was taken from well NX1 at a depth of 1705.00m, Por=8.2%, Perm=0.099mD, S AB The segment is shorter, S Hgmax =87.76%, P d =2.3MPa, S BVI =48.03%, T 2cutoff =4.79ms, T 2aver =6.58ms, Peak 2 =0.17, the main distribution range of pore throat radius is 0.0255-0.1623μm and 0.0048-0.0165μm ( figure 2...

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 discloses a pore structure classification and recognition method based on magnetic resonance imaging T2 spectrum sensitive parameters. The method comprises the following steps of S1, preparing a standard rock core sample; S2, separately performing a magnetic resonance imaging test, and physical property and high pressure mercury injection tests; and S3, dividing pore structure categories of laboratory rock samples and dividing magnetic resonance imaging T2 spectrum sensitive parameter standards of the underground reservoir pore structure categories. The method provided by the invention has the advantages that mercury injection, nuclear magnetism and physical property information are synthesized, rock core sample pore structure categories and features can be determined and represented, an underground reservoir pore structure type division plate is made by using the multiple magnetic resonance imaging T2 spectrum sensitive parameters, and the pore structure category and reservoir effectiveness assessment can be performed on the profile of a well.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to a nuclear magnetic resonance-based 2 Pore ​​structure classification and identification method based on spectral sensitive parameters. Background technique [0002] With the continuous advancement of unconventional oil and gas exploration and development, the difficulty of formation evaluation continues to increase, and the demand for oil and gas continues to rise. Conventional oil and gas can no longer meet the demand. Low-permeability and tight oil and gas have gradually become an important strategic alternative energy source (Zhao Xinzhi. Ordos Basin Characteristics and classification evaluation of low permeability reservoirs in Longdong area [D]. 2012, Wuhan: China University of Geosciences.). A large number of examples in exploration and development show that the pore structure of reservoir rocks significantly affects its storage and seepage ...

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): G01N15/08G01V3/38
CPCG01N15/088G01V3/38
Inventor 闫建平冯春珍何旭李兴文张少龙寇小攀郭红梅范杰
Owner SOUTHWEST PETROLEUM 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