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

Thin sand body plane distribution prediction method based on fractional order Hilbert transform

A technology of plane distribution and prediction method, which is applied in the field of oil and gas field exploration to achieve the effect of improving vertical resolution, avoiding prediction errors and improving accuracy

Active Publication Date: 2020-08-28
BC P INC CHINA NAT PETROLEUM CORP +1
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Disadvantages of the conventional Hilbert transform method: using the Hilbert transform phase shift method of 900, the polarity can be used to indicate the lithology, and the seismic data processed by the 900 phase wavelet can overcome the deficiency of the zero phase wavelet data
There is no research on thin sand body prediction based on fractional Hilbert transform

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
  • Thin sand body plane distribution prediction method based on fractional order Hilbert transform
  • Thin sand body plane distribution prediction method based on fractional order Hilbert transform
  • Thin sand body plane distribution prediction method based on fractional order Hilbert transform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] The embodiment of the present invention provides a method for predicting the planar distribution of thin sand bodies based on the fractional Hilbert transform. The present invention will be described in detail below in conjunction with the embodiments.

[0043] The specific steps of the present invention are as follows:

[0044] (1) Enter the post-stack 3D seismic data volume w(i,j,n), i represents the number of the Inline survey line (the total number of survey lines is denoted as Nline), and j represents the number of the Xline survey line (the total number of survey lines is denoted as Nxline) , N represents the sampling point number of a single seismic record (the total number of sampling points is denoted as N);

[0045] (2) Let v=-1.0,-0.8,-0.6,-0.4,-0.2,0.2,0.4,0.6,0.8,1, score each seismic trace record of the three-dimensional array w(i,j,n) Order Hilbert transform, get the result array w of the fractional Hilbert transform of the three-dimensional array w(i,j,n) of e...

Embodiment 2

[0060] figure 1 It is the predicted section of sand body through Well W1 calculated by conventional method (thin layer recognition method based on Hilbert transform). The black thin layer in the figure represents the sand body, and the curve beside Well W1 is the measured GR curve ( The low value of the GR curve indicates the sand body, and the high value of the GR curve indicates the mudstone formation). From figure 1 Two defects of the conventional method can be seen: ① A set of black stratum with good continuity appears on the top of the stratum (location position: 470 track on the abscissa, 2098ms on the ordinate), and the corresponding GR value of this set of stratum is high, that is, the set The stratum is not a sand body, and there is a false prediction; ②When the stratum dip changes, the black stratum is intermittent at the position of 510 on the abscissa, that is, the lateral continuity is poor and the lateral resolution is low.

[0061] figure 2 It is the predicted se...

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 thin sand body plane distribution prediction method based on fractional order Hilbert transform. The thin sand body plane distribution prediction method comprises the following steps: firstly, calculating fractional order Hilbert transform of three-dimensional seismic data of 10 orders; and dividing the sand body development section into a plurality of sand body development small layer sections in the longitudinal direction, extracting an attribute plane graph of each sand body development small layer section, and optimizing an amplitude attribute plane graph corresponding to the optimal order based on the development condition of the actual drilling well in each sand body development small layer section to perform thin sand body plane distribution prediction. Thethin sand body plane distribution prediction method makes full use of the advantages that fractional order Hilbert transform can improve the longitudinal resolution, can realize perfect correspondence of the event and the acoustic logging curve on the seismic profile, effectively predicts the plane distribution characteristics of the thin sand body, and improves the accuracy of the plane distribution prediction of the thin sand body.

Description

Technical field [0001] The invention relates to the technical field of oil and gas field exploration, in particular to a method for predicting the plane distribution of thin sand bodies based on fractional Hilbert transform. Background technique [0002] The importance of thin sand body prediction: conventional oil and gas exploration reservoirs are mainly sand bodies. With the continuous deepening of exploration in recent years, it has become more difficult to exploit thick sand bodies and the degree of water flooding has become higher and higher. Thin sand bodies have become the current key targets for oil and gas exploration. They are mainly developed at the end of river-delta deposits, mainly at the end of delta distributary plain and inner front. The skeleton sand bodies are composed of small distributary channel sand bodies and underwater channel deposits. the Lord. At present, the academic circles generally define sand bodies with a thickness of less than 5 meters as thin...

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): G06Q10/04G06Q50/02G06F17/14G01V1/30
CPCG01V1/307G01V2210/48G06F17/14G06Q10/04G06Q50/02
Inventor 童明胜陈杰陈果徐明华方杰李开建罗鹏曦
Owner BC P INC CHINA NAT PETROLEUM 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