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

Method and device for obtaining growth law and sedimentary model of shallow water lake basin delta

A technology of growth law and depositional model, applied in the field of modern sedimentology analysis, can solve problems such as the inability to establish, quantify and accurately delta depositional model, increase the uncertainty of sand body prediction in oil fields, etc., to improve productivity and efficiency, improve efficiency and The effect of precision

Active Publication Date: 2014-04-30
PETROCHINA CO LTD
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] To sum up, through literature research, it is found that previous studies have only focused on the delta morphology display and qualitative analysis of static remote sensing images in a single time phase, and cannot establish a dynamic and quantitative accurate delta depositional model, which increases the number of oilfield sand bodies. Uncertainty in prediction, there is currently no way to use multi-temporal remote sensing image data to carry out analysis and research on the dynamic growth model of modern deltas

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 and device for obtaining growth law and sedimentary model of shallow water lake basin delta
  • Method and device for obtaining growth law and sedimentary model of shallow water lake basin delta
  • Method and device for obtaining growth law and sedimentary model of shallow water lake basin delta

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0085] Such as image 3 As shown, it is a technical flow chart of the shallow lake basin delta growth law and sedimentation model in this embodiment. The realization of this embodiment adopts following technical scheme:

[0086] The first step: multi-temporal remote sensing image collection and preprocessing;

[0087] According to the research needs of delta growth law and sedimentation model and the archiving of different types of remote sensing image data, image data with the largest time span should be collected as much as possible. It is recommended to use medium-resolution Landsat images for macroscopic studies and high-resolution satellite images for local growth studies. The band range needs to cover visible light and near-infrared bands. The image combination preprocessing process includes image fusion, geometric fine correction and image enhancement processing, which is used to reduce the spectral feature difference and spatial coordinate difference between the rem...

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 method and device for obtaining a growth law and a sedimentary model of a shallow water lake basin delta. The method comprises the steps that multiple time-phase remote-sensing images with certain time spans are obtained, and the time-phase remote-sensing images are combined and preprocessed; the water levels of the combined and preprocessed time-phase remote-sensing images are classified, and the time-phase remote-sensing images with the same water level class are selected to be analyzed; when the water levels of the selected time-phase remote-sensing images are the same, synchronous field sedimentary inspection is conducted, and various kinds of sedimentary microfacies recognition templates of the shallow water lake basin delta are built; according to the various kinds of sedimentary microfacies recognition templates of the shallow water lake basin delta, global-scope sedimentary microfacies explanation of the whole shallow water lake basin delta is conducted on the time-phase remote-sensing images with the same water level class, and multiple time-phase interpretation vectors are obtained; according to the multiple time-phase interpretation vectors, remote-sensing quantitative analysis is conducted on growth factors of the whole shallow water lake basin delta; according to the analyzed result, the growth law and the sedimentary model of the shallow water lake basin delta are obtained.

Description

technical field [0001] The invention relates to the technical field of modern sedimentology analysis, in particular to a technology for establishing the dynamic growth law and depositional model of modern shallow lake basin deltas by using multi-temporal remote sensing image data analysis. Background technique [0002] Modern sediment research is an important part of sedimentology research. At present, the main methods are sediment investigation and simulation experiment. The traditional modern sediment investigation has the limitation of observation range and static defects. Although flume simulation experiment and numerical simulation have been gradually developed in recent years. Experiments have achieved some results, and the dynamic deposition process can be simulated, but due to the limited parameters of the simulation, it is difficult to restore the real natural deposition process. Remote sensing images are an important reference for modern delta sediment investigatio...

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): G01V8/02
Inventor 周红英袁选俊张友焱董文彤刘松
Owner PETROCHINA CO LTD
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com