Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Dolomite reservoir prediction method and system based on well and seismic combination, and storage medium

A technology of reservoir prediction and well-seismic combination, applied in the field of oil and gas exploration, can solve the problem of indistinguishable dolomite and limestone, etc.

Active Publication Date: 2019-10-15
YANGTZE UNIVERSITY
View PDF6 Cites 5 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 dolomite reservoir prediction method, system and storage medium based on well-seismic combination, which is used to solve the problem that dolomite and limestone are difficult to distinguish on the shear wave impedance diagram in the prior art, and in few wells Problems with relatively large limitations when using post-stack inversion technology for dolomite reservoir prediction

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
  • Dolomite reservoir prediction method and system based on well and seismic combination, and storage medium
  • Dolomite reservoir prediction method and system based on well and seismic combination, and storage medium
  • Dolomite reservoir prediction method and system based on well and seismic combination, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0025] For the first solution in the present invention, please refer to figure 1 , figure 1 It is a flow chart of an embodiment of the dolomite reservoir prediction method based on well-seismic combination in the present invention, the dolomite reservoir prediction method based on well-seismic combination in the present invention, the steps include:

[0026] S1: Obtain the logging data of the test area, and the test area includes the drilling area and the virtual ...

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 dolomite reservoir prediction method and system based on well and seismic combination, and a storage medium. The method comprises the following steps: acquiring logging dataof a testing area; carrying out sensitive curve analysis on logging data of a drilling area, obtaining a dolomite index characteristic curve, and distinguishing dolomite and limestone according to response range difference of the dolomite index characteristic curve; carrying out artificial intelligence deep learning on the dolomite index characteristic curve of the drilling area to obtain a dolomite index characteristic curve of a virtual drilling area; and by taking the dolomite index characteristic curves of the drilling area and the virtual drilling area as constraint conditions, carrying out inversion by adopting post-stack seismic data to obtain distribution and development conditions of a dolomite reservoir in the testing area. According to the method, the dolomite and the limestoneare effectively distinguished through the dolomite index characteristic curve; through the artificial intelligence deep learning and by combining the post-stack seismic data, the distribution and development conditions of the dolomite reservoir in the testing area can be accurately predicted; and the effective prediction method is provided for exploration work of a few-well area.

Description

technical field [0001] The invention relates to the field of oil and gas exploration, in particular to a dolomite reservoir prediction method, system and storage medium based on well-seismic combination. Background technique [0002] As one of the most important carbonate reservoirs, dolomite has been favored by explorers for many years. In recent years, the discovery of many large oil and gas fields in China is closely related to the status of dolomite reservoirs, so the exploration method of predicting the distribution of oil and gas fields based on the distribution of dolomite reservoirs has been paid more and more attention. Due to the fast longitudinal and lateral phase changes and strong heterogeneity of dolomite reservoirs, especially the small difference in shear wave impedance and limestone, it is difficult to distinguish between dolomite layers and limestone layers on seismic sections. At present, the geophysical prediction of dolomite reservoirs is mostly based o...

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
CPCG01V11/00G01V2210/66G01V2210/644G01V2210/641G01V2210/624G01V2210/6169G01V1/362G01V1/301G01V1/306G01V1/50G06F30/27G06N20/00G01V20/00E21B47/14G01V2210/514
Inventor 黄军平徐耀辉何文祥孙砚泽严刚
Owner YANGTZE UNIVERSITY
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
Eureka Blog
Learn More
PatSnap group products