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New edge detection low-order fault identification method

A technology for edge detection and fault identification, applied in measurement devices, geophysical measurements, instruments, etc., can solve problems such as poor interface and reflection continuity, unfavorable for combined fracture systems, and difficult to identify.

Active Publication Date: 2018-08-17
CHINA PETROLEUM & CHEM CORP +1
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0011] (1) In terms of interpretation of low-order faults, if the stratigraphic interface and seismic reflection continuity are good, the fault features are not obvious and difficult to identify; if the interface and reflection continuity are poor, bifurcation, merging, and disconnection Seriously, it seems that faults can be opened everywhere, and it is also difficult to identify
[0012] (2) Multiple small faults are combined in various forms on the profile, and the signal distribution is discrete and interacts with each other, making fault interpretation more difficult
[0013] (3) The plane combination of low-sequence faults has strong multi-solutions, which is not conducive to combining into a reasonable fault system and is not conducive to the analysis of oil-water relationship

Method used

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Examples

Experimental program
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Effect test

Embodiment 1

[0169] Example 1: Edge detection of low-sequence faults and identification of low-sequence faults in forward modeling simulation sections for geological models of low-sequence faults.

[0170] Step 1, designing a low-order fault geological model ( figure 2 ), image 3 is the forward modeling simulation profile, for the simulation profile with 50% noise added ( Figure 4 ), applying the three-dimensional multi-level blind source separation technology in the time-space domain to obtain the effective signals from the first-level blind source separation ( Figure 5 ), the effective signal separated from the secondary blind source ( Image 6 ), the effective signal separated from the three-level blind source ( Figure 7 ) and the finally separated noise ( Figure 8 ),from Figure 8 It can be seen that the random noise separated by the blind source basically does not contain the effective signal, thus effectively ensuring that the effective information is basically not lost af...

Embodiment 2

[0178] Example 2: Low-order fault identification for edge detection in actual work areas.

[0179] Step 1, the original seismic data volume ( Figure 14 ), in the time-space domain, the combined denoising process based on 3D multilevel blind source separation and structure-preserving filtering is applied to obtain the denoised seismic data volume ( Figure 15 ), the signal-to-noise ratio of the effective signal is significantly enhanced, the event axis of the reflected wave becomes clear and continuous, and the stability of the transverse waveform feature is improved.

[0180] Step 2, apply the multi-channel coherent algorithm in the time domain to perform dip search and estimate the formation dip; in the frequency domain, apply the time delay of the formation dip shown in the seismic record, and perform Fourier transform time-delay characteristics on it to estimate the formation dip;

[0181] Step 3, based on the time-frequency domain hybrid dip scan, calculate the structure...

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Abstract

The invention provides a novel edge detection low-order fault identification method which comprises a step of applying the noise reduction technology with the combination of three-dimensional multi-level blind source separation and guaranteed structure filtering in a time-space domain to suppress random noise and improving the signal-to-noise ratio of seismic data, a step of applying a multi-channel coherence algorithm in a time domain to carry out inclination search and estimate a stratum inclination value, a step of applying the time delay of a stratum inclination expressed in a seismic record in a frequency domain and estimating the stratum inclination by the delay characteristics of Fourier transform, a step of calculating a structure-oriented Canny property in an analysis window basedon local layer leveling along the stratum inclination angle, and a step of carrying out seismic identification of a low-order fault through the forms of well section and slice along a layer accordingto the structure-oriented Canny property data body. According to the novel edge detection low-order fault identification method, the structure-oriented Canny property edge detection low-order fault identification method based on combined noise reduction of the three-dimensional multi-level blind source separation and the guaranteed structure filtering is researched, and the identification abilityof low-sequence faults is improved.

Description

technical field [0001] The invention relates to the field of geological exploration for seismic identification of low-sequence faults, in particular to a new edge detection low-sequence fault identification method. Background technique [0002] With the continuous improvement of oilfield exploration and development, the status of fault-block oil and gas reservoirs is becoming more and more important, and the low-sequence faults are increasingly valued, because they transform the structural details, control the oil-water relationship and the distribution of remaining oil, and seriously affect the oil-water relationship. With the application of reservoir development technology, this low-sequence fault has become an unavoidable and unavoidable problem in oilfield exploration and development, and targeted research must be carried out. [0003] In the study of low-sequence faults, in addition to using drilling data to identify breakpoints for interwell correlation, the complete s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
CPCG01V1/306G01V1/307
Inventor 苏朝光马玉歌韩宏伟孙明江孙金磊揭景荣刘启亮王钊
Owner CHINA PETROLEUM & CHEM CORP
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