Method for classifying bioclastic limestone reservoir pore structures

A technology of pore structure and biodebris, which is applied in the analysis of suspensions and porous materials, analytical materials, permeability/surface area analysis, etc. Quantitative evaluation and other issues

Active Publication Date: 2016-10-26
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF8 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For reservoirs with strong heterogeneity, the direct method is greatly affected by the observation horizon, and the consistency with the macroscopic properties of the reservoir and oil and gas production is not high; currently the most direct and effective data is the analysis of the shape of the capillary force curve Qualitatively characterize the pore structure of the reservoir, but the judgment of the transition type curve by this method is highly subjective, the classification is relatively rough, and the subtle differences in the pore structure cannot be accurately represented, and the cost of this method is high, and continuous coring analysis

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
  • Method for classifying bioclastic limestone reservoir pore structures
  • Method for classifying bioclastic limestone reservoir pore structures
  • Method for classifying bioclastic limestone reservoir pore structures

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] Such as figure 1 Shown, a bioclastic limestone reservoir pore structure classification method, including the following steps:

[0027] a Carry out nuclear magnetic logging, conventional logging and drilling coring for the target well section in the study block.

[0028] b. Carry out matching high-pressure mercury injection experiment and nuclear magnetic experiment on the rock core obtained in step a. The so-called matching refers to carrying out both high-pressure mercury injection experiment and nuclear magnetic experiment on the same rock core.

[0029] c according to image 3 As shown, the abscissa of the capillary force curve is the mercury entry pressure Pc, which represents the radius of the pore throat, and the ordinate is the saturation S of the non-wetting phase fluid, reflecting the connectivity of the pore throat. The curve at the upper left represents the better connectivity. The large pore-throat section, located in the lower right, represents the small ...

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 method for classifying bioclastic limestone reservoir pore structures. The method comprises the steps as follows: a, nuclear magnetic logging, conventional logging and drilling coring are performed on a target well section in a researched block; b, matched high-pressure mercury injection and nuclear magnetic resonance experiments are performed on a core; c, the pore structures are classified into four types according to the capillary pressure curve shape, the pore throat distribution feature and oil-gas production capacity, and pore throat space bounds at different scales are determined; d, relaxation distribution ranges of different pore components of a nuclear magnetic resonance T2 spectrum are acquired according to the scales of the core; e, the classification standard of the pore structures is established according to the distribution condition of different pore components of the nuclear magnetic resonance T2 spectrum; f, the types of the continuous pore structures of the whole well section are recognized according to the nuclear magnetic logging information. The relation between mercury injection capillary pressure curve fractal features and diagenesis and pore throat distribution is fully mined, the ratio of different pore components is obtained in combination with nuclear magnetic information, the reservoir pore structures are classified more elaborately, and the problem about fine evaluation of the heterogeneous bioclastic limestone reservoir pore structures is solved.

Description

technical field [0001] The invention relates to a new method for classifying the pore structure of bioclastic limestone reservoirs, which belongs to the field of petroleum exploration and development. Background technique [0002] The microscopic pore structure of reservoir rocks directly affects the macroscopic physical properties, electrical properties, industrial types, and oil and gas productivity of the reservoir, and ultimately determines the difference in productivity distribution of oil and gas reservoirs. Evaluation and reservoir exploration and development are of great significance. [0003] At present, the research methods of pore structure mainly include the direct method of observing and describing the pore structure by using scanning electron microscope, cast thin section and CT imaging, and the indirect method of reflecting the pore structure by using capillary pressure test and so on. For reservoirs with strong heterogeneity, the direct method is greatly aff...

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): G01N15/08G01N24/08
CPCG01N15/08G01N24/081G01N2015/0813
Inventor 范宜仁韩玉娇葛新民刘家雄
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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