AMD-HHT-based time-frequency domain fluid identification method

A fluid identification, time-frequency domain technology, applied in the field of oil and gas exploration, can solve problems such as reservoir fluid prediction error, modal aliasing effect, and insufficient decomposition of reservoir low-frequency information

Inactive Publication Date: 2018-05-18
SOUTHWEST PETROLEUM UNIV
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the process of EMD decomposition, the biggest shortcoming and it is unavoidable is the modal aliasing effect, that is, a decomposed IMF component signal contains signals of other IMF components
[0006] After the Hilbert-Huang Transform (HHT) was proposed, although it has m...

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
  • AMD-HHT-based time-frequency domain fluid identification method
  • AMD-HHT-based time-frequency domain fluid identification method
  • AMD-HHT-based time-frequency domain fluid identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0070] In order to make the object, technical solution and advantages of the present invention clearer, the following examples are given to further describe the present invention in detail.

[0071] A time-frequency domain fluid identification method based on AMD-HHT, comprising the following steps:

[0072] S1: Assuming that the input seismic signal is x(t), the steps of EMD are as follows:

[0073] First, the intrinsic mode function (IMF) needs to meet the following conditions:

[0074] (1) In the entire data segment, the number of extreme points and the number of zero-crossing points must be equal or differ by at most one;

[0075] (2) The mean value of the envelope of the envelope of the local maximum and local minimum at any time point is zero.

[0076] S111: Determine all extreme points of the function x(t), and the envelope of the maximum value sequence is e 1 (t), the minimum sequence envelope is e 2 (t);

[0077] S112: Calculate the mean envelope;

[0078]

...

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 an AMD-HHT-based time-frequency domain fluid identification method which comprises: performing empirical mode decomposition (EMD); performing Hilbert transform through an IMF component to obtain Hilbert spectrum time frequency; successively extracting the signals of respective frequency components by an AMD method for AMD decomposition; successively subjecting the channel numbers of a seismic signal to loop operation so as to obtain N frequency signals decomposed by AMD. The method solves modal aliasing caused by intermittent signals in the process of EMD, obtains accurate frequency-domain information, solves a problem that HHT cannot recognize non-stationary signals with similar frequency, can detect all characteristic frequencies, accurately extracts low-frequencyinformation, improves the fidelity of seismic signals, and accurately identifies reservoir fluids.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration, in particular to an AMD-HHT-based time-frequency domain fluid identification method. Background technique [0002] In recent years, with the continuous deepening of oil and gas exploration and development, the form of reservoirs has become more and more complex. The exploration of reservoirs has gradually increased in difficulty from shallow to deep, from large to small, and the focus of exploration is on lithologic oil and gas reservoirs or hidden Oil and gas reservoir transfer. Moreover, in addition to judging whether the reservoir exists, the prediction of the reservoir also needs to judge the type and nature of the fluid contained in the reservoir. Therefore, many geophysicists have noticed that low-frequency seismic anomalies are closely related to oil and gas reservoirs in the search for new methods of reservoir prediction with high precision and low cost. Although the for...

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): G01V1/30
CPCG01V1/307G01V2210/21G01V2210/48G01V2210/624G01V2210/63
Inventor 杨巍柴金亭丁家敏朱仕军
Owner SOUTHWEST PETROLEUM UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap