Prediction method of plane distribution of thin sand body based on fractional 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: 2021-07-23
BC P INC CHINA NAT PETROLEUM CORP +1
View PDF4 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
  • Prediction method of plane distribution of thin sand body based on fractional Hilbert transform
  • Prediction method of plane distribution of thin sand body based on fractional Hilbert transform
  • Prediction method of plane distribution of thin sand body based on fractional 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 fractional Hilbert transform. The present invention will be described in detail below in conjunction with the embodiments.

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

[0044] (1) Input the post-stack 3D seismic data volume w(i,j,n), i represents the serial number of the Inline survey line (the total survey line number is denoted as Nline), and j represents the Xline survey line serial number (the total survey line number is denoted as Nxline) , n represents the sampling point serial number of the single-trace seismic record (the total sampling point number 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 track record of the three-dimensional array w(i, j, n) Order Hilbert transform, get the result array w of the fractional order Hilbert transform of the three-dimen...

Embodiment 2

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

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 method for predicting the plane distribution of thin sand bodies based on fractional-order Hilbert transform. According to the vertical division of multiple sand body development sections, the attribute plane map of each sand body development section is extracted, and the best order corresponding to the development of each sand body development section is selected based on the actual drilling conditions. Amplitude property plan for thin sand body plane distribution prediction. The invention makes full use of the advantages that fractional Hilbert transform can improve the vertical resolution and can realize the perfect correspondence between the event axis and the acoustic logging curve on the seismic section, effectively predict the plane distribution characteristics of the thin sand body, and improve the thin sand body. Accuracy of Sand Body Plane Distribution Prediction.

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-order Hilbert transform. Background technique [0002] The importance of thin sand body prediction: the reservoirs of conventional oil and gas exploration are mainly sand bodies. In recent years, with the deepening of exploration, the development of oil layers with thick sand bodies has become more and more difficult, and the degree of water flooding has become higher and higher ; Thin sand bodies have become the key target of oil and gas exploration at present, and they are mainly developed at the end of fluvial-delta deposits, mainly at the end of delta distributary plain and inner front, and the skeleton sand bodies are mainly small distributary channel sand bodies and underwater channel deposits. host. At present, the academic circle usually defines sand bodies with a...

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 Patents(China)
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 Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products