Detection algorithm for pore structure of shale gas reservoir

A technology of pore structure and detection algorithm, which is applied in measurement devices, analysis of suspensions and porous materials, scientific instruments, etc., can solve the problems such as the inability to effectively determine the throat size of shale gas reservoir core throat and the connection relationship between distributed pores and throats. Achieve the effect of ensuring accuracy, broad application prospects, and accurate value assessment

Inactive Publication Date: 2014-09-10
向丹
View PDF0 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a detection algorithm for the pore structure of shale gas reservoirs, which solves the problems in the prior art that the size and distribution of core throats in shale gas reservoirs and the connection relationship between pore throats cannot be effectively measured. Provide accurate and effective basis for the value evaluation of shale gas reservoirs

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
  • Detection algorithm for pore structure of shale gas reservoir
  • Detection algorithm for pore structure of shale gas reservoir
  • Detection algorithm for pore structure of shale gas reservoir

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0034] The shale gas reservoir pore structure detection algorithm provided by the present invention is mainly used to detect the throat radius of the shale gas reservoir core, and obtain the capillary pressure and capillary pressure curve from this, and then evaluate the value of the shale gas reservoir Provide a solid and reliable basis.

[0035] The present invention is based on the existing nitrogen adsorption specific surface analysis and detection method, and chooses to convert the phase desorption amount of nitrogen into the volume of the wet phase desorbed in the phase to account for the volume of the core during the gradual depressurization process after the nitrogen is adsorbed to the maximum pressure. The percentage of the pore volume (which can be called the saturation of the wetted phase of the phase escape) and the percentage of the total volume of the removed nitrogen in the core volume (which can be called the porosity of the nitrogen from the phase), and finally th...

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 detection algorithm for the pore structure of a shale gas reservoir. The detection algorithm comprises the step of carrying out specific surface analysis and detection to obtain partial data by adopting a nitrogen absorption method, and also comprises the following steps: (1) in the pressure reducing process after nitrogen is absorbed to maximum pressure, gradually and respectively converting staged desorbing amount of the nitrogen into the percent of the volume of a desorbed wetting phase at stages accounting for the volume of a rock-core pore and the percent of the volume of the desorbed nitrogen accounting for the total volume of the rock core; (2) calculating out the thickness of a wetting film in the process of staged desorption, namely, the throat radius of the process, by adopting a digital model for calculating the thickness of a water film according to the specific surface of nitrogen absorption and the density of the rock core; and (3) according to the relation of the capillary pressure theory, obtaining capillary pressure under the corresponding and relative pressure and a capillary pressure curve in the whole desorption process. The detection algorithm disclosed by the invention has the advantages that the characteristics of the pore structure of the shale gas reservoir and the characteristics of seepage and production of natural gas can be intuitively described, further the value of the shale gas reservoir is evaluated, the practical value is very high and the application prospect is very wide.

Description

Technical field [0001] The invention relates to the study of the pore structure of shale gas reservoirs and the classification and evaluation technology of shale gas reservoirs, in particular to a detection algorithm for the pore structure of shale gas reservoirs. Background technique [0002] As we all know, the value evaluation of shale gas reservoirs has a very important impact on natural gas exploration and development. It determines the accuracy of natural gas exploration, the investment plan for natural gas development, and the utilization value of natural gas fields. In the natural gas field, shale gas reservoirs are mainly composed of mudstone and shale. At present, there are two methods for evaluating the value of shale gas reservoirs: (1) Nitrogen adsorption ratio surface analysis and detection are used to obtain adsorption desorption under corresponding pressures. The amount of attached nitrogen, adsorption and desorption curve, BET and BJH specific surface, pore-pore ...

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): G01N15/08
Inventor 向丹黄大志向冬向阳
Owner 向丹
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