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

Reservoir thickness prediction method based on three seismic attributes

A prediction method and reservoir technology, applied in the field of geophysical exploration, to reduce the risk of well location deployment, improve the accuracy of thickness prediction, and improve the accuracy

Active Publication Date: 2019-03-15
CHINA NAT OFFSHORE OIL CORP +1
View PDF9 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The main purpose of the present invention is to overcome the above-mentioned shortcoming existing in the prior art, and provide a kind of reservoir thickness prediction method based on seismic three attributes, solve the problem existing in the conventional method that only utilizes time thickness attribute to carry out reservoir thickness prediction, improve thickness Prediction accuracy

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
  • Reservoir thickness prediction method based on three seismic attributes
  • Reservoir thickness prediction method based on three seismic attributes
  • Reservoir thickness prediction method based on three seismic attributes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0023] Such as figure 1 , figure 2 , image 3 As shown, the present invention is based on the seismic three-attribute reservoir thickness prediction method, which combines the three seismic attributes to construct an attribute that has an approximate linear relationship with the true thickness of the reservoir, and uses this attribute to predict the thickness, including the following steps:

[0024] The first step is to build a wedge-shaped geological model based on the seismic logging information in the work area, convolute the forward reflection records, extract the reflection amplitude, time thickness and center frequency information, and make the reflection amplitude, time thickness and center frequency of the wedge-shaped geological model The theoretical curve of the relationship between the three attribute data and the true thickness...

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 provides a reservoir thickness prediction method based on three seismic attributes. A wedge-shaped body geologic model is built according to work area seismic logging information, and areflection record is subjected to convolution and forward modeling to obtain a relation curve of the reflection amplitude, the time thickness, the center frequency and the true thickness of a reservoir; the relation curve is combined with three attribute theoretical curves to obtain an expression, with a linear relation attribute, similar to the true thickness of the reservoir is obtained by usinga mathematical optimization method; the attributes of the researched reservoir are calculated on the basis of actual seismic data, and the attributes are corrected according to thickness informationof each well drilling point of the reservoir so as to obtain a reservoir thickness plane prediction result. The method can improve the reservoir thickness prediction precision, reduce the oil field development risk and improve the accuracy of calculation of reserves is improved, and is an effective fine research means for lithological oil and gas reservoirs.

Description

technical field [0001] The invention relates to geophysical exploration technology, in particular to a reservoir thickness prediction method based on three seismic attributes. Background technique [0002] In the development process of lithologic reservoirs, the prediction results of reservoir thickness directly affect the calculation of oilfield reserves and the deployment of development wells. The conventional thickness prediction method first tracks and interprets the reflection time of the top and bottom of the reservoir, and the difference between the two is the reflection time. Then the actual drilling thickness at the drilled point of the reservoir is used to correct the time thickness, and the prediction result of the reservoir thickness plane is obtained. The premise of this method to achieve good results is that the thickness of the reflection time of the reservoir has a linear relationship with the true thickness. In fact, this relationship is only approximately 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
Patent Type & Authority Applications(China)
IPC IPC(8): G01B17/02G01V1/30
CPCG01B17/02G01V1/30
Inventor 田立新薛明星明君刘传奇彭刚李久赵海峰宋俊亭唐何兵张正龙田涛
Owner CHINA NAT OFFSHORE OIL 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