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

Method for identifying ultra-deep carbonate reservoir

A carbonate rock reservoir and identification method technology, which is applied in the identification field of ultra-deep carbonate rock reservoirs, can solve the problems of strong concealment of ultra-deep reservoirs and difficult identification of seismic data, and achieves high resolution. , high precision, solve the effect of complex algorithm

Pending Publication Date: 2022-05-03
CHINA PETROLEUM & CHEM CORP +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of this application is to overcome the problem of strong concealment of ultra-deep reservoirs in the prior art and difficulty in identifying single seismic data, and to provide an identification method for ultra-deep carbonate reservoirs. In the process of reservoir identification , introduce petrophysical parameters, and establish a petrophysical model through the Xu.Payne model, making it suitable for ultra-deep carbonate reservoirs over 7000m, to achieve more accurate reservoir identification

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 identifying ultra-deep carbonate reservoir
  • Method for identifying ultra-deep carbonate reservoir
  • Method for identifying ultra-deep carbonate reservoir

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The present invention will be further described in detail below in conjunction with test examples and specific embodiments. However, it should not be understood that the scope of the above subject matter of the present invention is limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0030] Reservoir identification methods in the prior art are mainly divided into two types. One is to identify reservoirs by obtaining conventional attribute parameters from seismic data. This identification method has weak ability to distinguish reservoirs and low resolution; the other is to use rock physics A petrophysical model is established based on parameters for reservoir identification. Although this identification method has high resolution, the algorithm is complex and is greatly affected by the model. There are multiple solutions, and it is difficult to achieve a more accur...

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 recognition method for an ultra-deep carbonate reservoir, and relates to the field of oil and gas development, and the method comprises the steps: obtaining rock physical parameters and seismic data of a target region, and building a rock physical model through an Xu. Payne model; carrying out intersection analysis on a plurality of parameters in the rock physical model, screening out sensitive parameters, and establishing a rock physical interpretation quantity version; obtaining a conventional attribute parameter field of the target area; assigning an initial weight value to each parameter field of the conventional attribute parameter field and the rock physics interpretation quantity version, and calculating to obtain the weight of the conventional attribute parameter field and the weight of the rock physics interpretation quantity version; obtaining a multi-attribute comprehensive attribute distribution diagram of the target stratum; and obtaining the reservoir distribution condition of the target area. In the reservoir identification process, the rock physical parameters are introduced, and the rock physical model is established through the Xu. Payne model, so that the rock physical model is suitable for the ultra-deep carbonate reservoir exceeding 7000 m.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration, in particular to an identification method for ultra-deep carbonate reservoirs. Background technique [0002] Ultra-deep carbonate reservoirs are an important target of oil and gas exploration, and seismic identification of ultra-deep carbonate reservoirs is the key to the exploration of ultra-deep carbonate reservoirs. Ultra-deep carbonate rocks have the characteristics of super-deep burial, over 7000m deep, and strong concealment. Affected by the ultra-deep burial, the quality of seismic data is low, the identification is difficult, and the seismic reflection characteristics are not obvious. When using seismic data for identification, multiple solutions appear, which affects the identification results. Contents of the invention [0003] The purpose of this application is to overcome the problem of strong concealment of ultra-deep reservoirs in the prior art and difficulty in i...

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 闫亮苏锦义吴清杰刘红爱王信李航韦宝东叶茂才吴彩发李学明杨凯歌
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