Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-parameter permeability prediction method for tight sandstone reservoir

A technology for tight sandstone reservoirs and prediction methods, which is applied in the field of fine prediction and evaluation of tight and heterogeneous sandstone reservoirs, can solve problems such as difficulty in fracture prediction, failure to analyze and control permeability, and difficulty in establishing a permeability prediction model, and achieve strong guidance. sexual effect

Active Publication Date: 2018-04-17
CHINA PETROLEUM & CHEM CORP +1
View PDF30 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are three main problems in these methods: 1) there is no analysis of the main geological factors controlling the permeability, and it is difficult to establish a reliable permeability prediction model when there is no obvious correlation between the petrophysical parameters and the logging curve; Fractures can significantly improve the permeability of tight sandstone reservoirs
However, since micro-fractures usually do not have typical logging and seismic response characteristics, fracture prediction has always been a difficult point in reservoir research; 3) These methods are mainly aimed at single wells, and generally only have the predictability of single well (point) permeability. However, accurate prediction of permeability is the key to precise prediction and evaluation of tight sandstone 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
  • Multi-parameter permeability prediction method for tight sandstone reservoir
  • Multi-parameter permeability prediction method for tight sandstone reservoir
  • Multi-parameter permeability prediction method for tight sandstone reservoir

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0050] This example is used to illustrate the method for predicting permeability in tight sandstone reservoirs.

[0051] (1) Determine the permeability and porosity of each sample of the Jurassic tight sandstone reservoir in the Zhongjiang Gas Field in the Western Sichuan Depression, and compare and analyze the geological factors of the tight sandstone reservoir samples with the same porosity and different permeability. The geological factors include rock Composition parameters (including clay mineral content), rock particle size, roundness, sorting, porosity, micro-fracture development degree and other factors, finally determine the main geological factors that affect the permeability of Jurassic tight sandstone reservoirs in the Zhongjiang Gas Field in the Western Sichuan Depression. The factors are rock porosity, grain size and degree of development of micro-cracks, wherein the grain size can be reflected by the median grain size, and the calculation of the median grain size...

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 the field of precise prediction and evaluation of tight and heterogeneous sandstone reservoir and discloses a multi-parameter permeability prediction method for tight sandstone reservoir. The method comprises steps as follows: (1), determining geological main controlling factors of permeability of the tight sandstone reservoir, wherein the geological main controlling factors comprise porosity, granularity and degree of fracture development; (2), establishing a logging prediction model of porosity and granularity and an earthquake prediction model; (3), determining geological main controlling factors of the degree of fracture development; (4), establishing a fracture development index model according to the geological main controlling factors obtained in the step (3); (5), establishing a comprehensive prediction model of multi-parameter permeability under earthquake-geological constraints. According to the method, accurate prediction of single well and plane ofpermeability of the tight sandstone reservoir is realized.

Description

technical field [0001] The invention relates to the field of precise prediction and evaluation of tight heterogeneous sandstone reservoirs, in particular to the evaluation of reservoirs with complex pore structures and poor pore-permeability correlation. Specifically, it relates to a multi-parameter permeability prediction method for tight sandstone reservoirs. Background technique [0002] In the usual classification and evaluation of reservoirs, porosity is generally used as the main evaluation index to determine effective reservoirs and classify and evaluate the reservoirs. In areas where the pore structure is relatively simple and the correlation between porosity and permeability is good, the evaluation results have a good match with the actual production conditions. However, for reservoirs with complex pore structure and poor porosity-permeability correlation, the evaluation results based on porosity are usually quite different from the actual production conditions. T...

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): G01N15/08G01V1/30
CPCG01N15/08G01V1/306G01V2210/6161G01V2210/6169G01V2210/6246
Inventor 叶素娟蔡李梅付菊蒙欣黎青胡元操延辉马森张世华张庄赵迪李强董军
Owner CHINA PETROLEUM & CHEM CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products