Quantitative prediction method for different-scale fractures of low-permeability reservoir under constraint of rock mechanical layer

A technology of rock mechanics and prediction methods, applied in the field of petroleum exploration and development, can solve the problems of unclear complex fracture mechanism, and achieve the effect of reducing risks and costs

Active Publication Date: 2021-10-22
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF6 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The key problem is that the complex fracture mechanism of this composite rock mass is still unclear, and a reasonable strength and mechanical model has not been established to solve the characterization of fracture "quality" (crack generation, expansion) and "quantity" (crack scale, number) question

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
  • Quantitative prediction method for different-scale fractures of low-permeability reservoir under constraint of rock mechanical layer
  • Quantitative prediction method for different-scale fractures of low-permeability reservoir under constraint of rock mechanical layer
  • Quantitative prediction method for different-scale fractures of low-permeability reservoir under constraint of rock mechanical layer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Such as Figure 1 to Figure 9 As shown, the quantitative prediction method for fractures of different scales in low-permeability reservoirs under the constraints of rock mechanics layers includes the following steps:

[0026] Step 1: Establish a single well fracture development model, the specific method is as follows:

[0027] (1) Collect field imaging logging (FMI) interpretation data, and count formation occurrence and fracture parameters, including bedding, bedding angle and fracture occurrence, linear density, bulk density, opening, and length parameters;

[0028] (2) Observing the cores in the core section of the well, counting the types of layers, the thickness of soft rock interlayers, and the properties of fracture types, and combining the results of (1) to draw a geological model for the development of columnar single-well fractures. The model includes lithology, layer type, layer dip angle, Various elements including fracture direction, fracture dip angle, f...

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 belongs to the field of oil exploration, and particularly relates to a quantitative prediction method for different-scale fractures of a low-permeability reservoir under constraint of a rock mechanics layer, which comprises the following steps: establishing a single-well fracture development mode, establishing a well-connected fracture development mode, dividing fracture scales, performing a rock mechanics experiment, performing mechanical parameter logging interpretation and dynamic-static correction, dividing various levels of rock mechanical layer structures, establishing a three-dimensional geomechanical model, determining a key fracture forming period, performing three-dimensional ancient stress field simulation, deducing and establishing a soft and hard interbed rock multi-stage fracture criterion and a fracture parameter mechanical characterization model, and performing quantitative prediction on fractures of different scales of a low-permeability reservoir, and finally verifying the reliability of a crack quantitative prediction result through well point actual measurement data. According to the method, the multi-scale fracture parameters of the sand-mudstone interbed type low-permeability reservoir can be accurately obtained and quantitatively represented, the method is suitable for fracture quantitative prediction work of any stratified structure reservoir, and the risk and cost of exploration and development are reduced.

Description

technical field [0001] The invention belongs to the field of petroleum exploration and development, and in particular relates to a method for quantitatively predicting fractures of different scales in low-permeability reservoirs under the constraints of rock mechanical layers. Background technique [0002] In recent years, with the world's increasing demand for oil and gas energy and the continuous deepening of oil and gas exploration, global oil and gas exploration has gradually changed from conventional to unconventional, from shallow to deep and even ultra-deep, and low-permeability and ultra-low-permeability reservoirs have been widely accepted. Pay attention to and continuously make breakthroughs, among which the fracture prediction of different scales has become one of the current research hotspots. In low-permeability reservoirs, structural fractures are the key factors to improve reservoir physical properties and increase oil and gas productivity. Accurate descriptio...

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): G01V11/00
CPCG01V11/00
Inventor 冯建伟渠继航高翔刘善伟钱品淑
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