CN107884826A - The method of dead trace recognition methods and optimization seismic data process in geological data - Google Patents
The method of dead trace recognition methods and optimization seismic data process in geological data Download PDFInfo
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- CN107884826A CN107884826A CN201711323495.1A CN201711323495A CN107884826A CN 107884826 A CN107884826 A CN 107884826A CN 201711323495 A CN201711323495 A CN 201711323495A CN 107884826 A CN107884826 A CN 107884826A
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- 238000000034 method Methods 0.000 title claims abstract description 78
- 238000005457 optimization Methods 0.000 title claims abstract description 15
- 238000012545 processing Methods 0.000 abstract description 21
- 230000008092 positive effect Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006698 induction Effects 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 238000009333 weeding Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/30—Analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/30—Analysis
- G01V1/307—Analysis for determining seismic attributes, e.g. amplitude, instantaneous phase or frequency, reflection strength or polarity
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/63—Seismic attributes, e.g. amplitude, polarity, instant phase
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- Environmental & Geological Engineering (AREA)
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Abstract
The invention provides dead trace recognition methods in a kind of geological data and the method for optimization seismic data process, the recognition methods to include step：Geological data is gathered, calculates each seismic channel geological data frequency；By each seismic channel geological data frequency compared with standard frequency value, it is determined as dead trace less than standard frequency value, wherein, the standard frequency value is set-point or empirical value.After the method for the optimization seismic data process identifies dead trace using above-mentioned recognition methods, dead trace is handled to optimize geological data.The method according to the invention can accurately and efficiently complete the identification and processing of dead trace in geological data, successfully solve the problems, such as that Traditional Man identification dead trace method efficiency is low, low precision, as the element task in seismic data process, there is very big positive effect to later stage seismic data process, be with a wide range of applications and be worth.
Description
Technical field
The present invention relates to exploration of oil and gas field technical field, more particularly, is related to dead trace identification side in a kind of geological data
Method and optimize the method for seismic data process using dead trace recognition methods in the geological data, be mainly used in seismic data
Processing is explained.
Background technology
Geological data can run into various situations in gatherer process, and dead trace typically refers to excite in single-shot, wave detector take-off
Induction chip is caused to be stuck for some reason afterwards, wave detector can not normally receive the vibration information of underground, remember in earthquake
The characteristic that oscillator intensity is big, frequency anomaly is low is shown as in record.Because dead trace amplitude is big, to the exception of seismic data post-processing
Amplitude is suppressed and amplitude compensation has significant effect, and can destroy the quality of whole stacked section, therefore, dead trace in seismic data
Identification and Weeding are the element tasks of seism processing.
The identification generally use manual method of dead trace in traditional geological data is still, swift and violent with seismic exploration technique
Development, field seismic prospecting has been enter into high density, comprehensive, mass data epoch, only by processing person with visually observing and experience
Judge that treatment effeciency is low, and precision is not high to identify dead trace, far can not meet the precision and efficiency requirements of processing.
The content of the invention
For the deficiencies in the prior art, an object of the present invention is solve present in above-mentioned prior art
One or more problems.For example, an object of the present invention be to provide a kind of high accuracy, it is efficient by frequency identification
Shake the method for dead trace in data.
To achieve these goals, an aspect of of the present present invention provides dead trace recognition methods in a kind of geological data, described
Method may comprise steps of：Geological data is gathered, calculates each seismic channel geological data frequency；By each seismic channel earthquake
Data frequency is determined as dead trace compared with standard frequency value, less than standard frequency value, wherein, the standard frequency value is set-point
Or empirical value.
In the geological data of the present invention in an exemplary embodiment of dead trace recognition methods, each road earthquake number
According to frequencyWherein, geological data frequency f is defined as the number that the execution cycle changes in the unit interval, and T is represented per together
Number of the geological data in internal vibration in one second.
In the geological data of the present invention in an exemplary embodiment of dead trace recognition methods, the standard frequency value model
Enclosing can be 1 hertz~5 hertz.For example, standard frequency value can be 3 hertz.
In the geological data of the present invention in an exemplary embodiment of dead trace recognition methods, the recognition methods is also wrapped
Include after seismic channel is determined as dead trace, the step of numerical value of each sampled point of dead trace is multiplied by 0 to handle dead trace.
Another aspect provides a kind of method for optimizing seismic data process.Methods described includes following step
Suddenly：Geological data is gathered, calculates each seismic channel geological data frequency；By each seismic channel geological data frequency and standard frequency
Value compares, and is determined as dead trace less than standard frequency value, wherein, the standard frequency value is set-point or empirical value；By dead trace
The numerical value of each sampled point is multiplied by 0 to handle dead trace, the geological data after being optimized.
In an exemplary embodiment of the optimization seismic data processing technique of the present invention, each road geological data
FrequencyWherein, geological data frequency f is defined as the number that the execution cycle changes in the unit interval, and T represents each genuine
Shake number of the data in internal vibration in one second.
In an exemplary embodiment of the optimization seismic data processing technique of the present invention, the standard frequency value scope
It can be 1 hertz~5 hertz.For example, standard frequency value can be 3 hertz.
Compared with prior art, the beneficial effect of the inventive method includes：Accurately and efficiently it can complete in geological data
The identification and processing of dead trace, the problem of Traditional Man identifies low dead trace method efficiency, low precision is can solve the problem that, as earthquake number
According to the element task in processing, there is very big positive effect to later stage seismic data process, be with a wide range of applications
And value.
Brief description of the drawings
By the description carried out below in conjunction with the accompanying drawings, above and other purpose of the invention and feature will become more clear
Chu, wherein：
Fig. 1 shows the schematic flow sheet of dead trace recognition methods in geological data according to an exemplary embodiment of the present invention.
Fig. 2 shows the schematic flow sheet of optimization seismic data processing technique according to an exemplary embodiment of the present invention.
Fig. 3 shows the seismic data schematic diagram containing dead trace.
Fig. 4 shows the earthquake after optimization seismic data processing technique processing dead trace according to an exemplary embodiment of the present invention
Data schematic diagram.
Embodiment
Hereinafter, dead trace in the geological data according to the present invention will be described in detail with reference to accompanying drawing and exemplary embodiment
Recognition methods and the method for optimizing seismic data process.
Specifically, the present invention identifies that dead trace efficiency is low for Traditional Man, easily influenceed by subjective human factor
Problem, it is smart at a high speed according to the dead trace difference with standard frequency value (wrap data frequency) in itself using the method for data statistics
Dead trace in true identification geological data, lays a good foundation for later data processing.
Fig. 1 shows the schematic flow sheet of dead trace recognition methods in geological data according to an exemplary embodiment of the present invention.
Fig. 2 shows the schematic flow sheet of the method for optimization seismic data process according to an exemplary embodiment of the present invention.Fig. 3 is shown
Seismic data schematic diagram containing dead trace.Fig. 4 shows optimization seismic data process side according to an exemplary embodiment of the present invention
Seismic data schematic diagram after method processing dead trace.
An aspect of of the present present invention provides dead trace recognition methods in a kind of geological data, in the seismic data dead trace identification side
In one exemplary embodiment of method, as shown in figure 1, the recognition methods can include：
Step S01, geological data is gathered, calculates each seismic channel geological data frequency.
More than, ground observation earthquake data acquisition can be carried out according to method well known in the art, obtain acquired original
Geological data.
In this example, geological data frequency (f) is defined as the number that the execution cycle changes in the unit interval, passes through statistics
Per frequency together, i.e., each road geological data can be obtained in the number (T) of internal vibration in one second：
Step S02, by each seismic channel geological data frequency compared with standard frequency value, sentence less than standard frequency value
It is set to dead trace.
Exemplary at this, standard frequency value can be the set-point either frequency values of empirical value or normal track data.Example
Such as, empirical value or set-point can generally take 1 hertz to 5 hertz.When data signal to noise ratio is of a relatively high, value can be appropriate
Choosing is big, for example, taking 4 hertz or 5 hertz；When seismic data signal to noise ratio is relatively low, value can be reduced suitably, take 2 hertz
Hereby or 3 hertz, to adapt to the seismic data of different signal to noise ratio.Preferably, usual set-point or empirical value can take 3 hertz.
Here, suppose that standard frequency value is given as 3, if certain seismic channel data frequency is slightly below 3, such as 2.6~3 it
Between, illustrate seismic channel only normal work part-time, most of the time irregular working, usual this earthquake record is also recognized
It is set to dead trace.
Another aspect provides a kind of method for optimizing seismic data process.In the optimization earthquake number of the present invention
In an exemplary embodiment according to the method for processing, as shown in Fig. 2 the method for the processing includes earthquake number as described above
After dead trace is identified according to middle dead trace recognition methods, the dead trace after judgement is handled to optimize geological data.
In this example, after judging certain seismic channel for dead trace, by the numerical value of each sampled point of the dead trace sorted out
0 is multiplied by handle dead trace.For example, as shown in figure 3, black curve is the frequency of each road earthquake record come out in figure,
The height of black curve represents the different frequency size of each road earthquake, and curve is higher, and frequency is higher, and curve is lower, and frequency is got over
It is low.The frequency of black box is 0 in Fig. 3 (a), less than standard frequency value, is then determined as dead trace；In Fig. 3 (b), black box portion
Divide seismic channel to be stuck after 100 milliseconds of seismic signal is normally received as dead trace, be 0.6 to 0.8 hertz in frequency statistics
Hereby, less than frequency standard value, then dead trace is also regarded as.Fig. 3 (a) and Fig. 3 (b) illustrates the method judged by the frequency of the present invention
The seismic channel of not take-off completely can not only normally be judged, and the seismic channel of take-off normal segments time also can correctly be judged, fitted
It is wide with scope, there is certain antijamming capability, accuracy of judgement.It will identify that the dead trace come record is all multiplied by 0, obtain new
Earthquake record.After handling Fig. 3 (a) dead traces, no longer recorded in earthquake record containing dead trace, also do not hurt non-dead trace note
Record, shown in seismic data such as Fig. 4 (a) after processing.Equally, seismic data such as Fig. 4 (b) after dead trace processing is carried out to Fig. 3 (b)
It is shown, likewise, no longer being recorded in earthquake record after processing containing dead trace, non-dead trace record is not hurt yet, processing is accurate.
More than, dead trace recognition methods of the invention can carry out the identification of dead trace in a computer, read ground in computer
After shaking data, per pass geological data frequency is calculated, then carries out the per pass geological data frequency of calculating and given frequency values
Contrast, finally handles dead trace, exports.
In summary, according to the present invention dead trace recognition methods and geological data optimization method can automatically, efficiently, standard
The really dead trace in identification earthquake record, and there is certain antijamming capability, it is dead to alleviate manual identified in seism processing
The labor intensity in road, improves production efficiency, realizes the purpose of dead trace in efficient, accurate identification geological data.
Although above by describing the present invention with reference to exemplary embodiment, those skilled in the art should be clear
Chu, in the case where not departing from the spirit and scope that claim is limited, the exemplary embodiment of the present invention can be carried out each
Kind modifications and changes.
Claims (8)
1. dead trace recognition methods in a kind of geological data, it is characterised in that the recognition methods comprises the following steps：
Geological data is gathered, calculates each seismic channel geological data frequency；
By each seismic channel geological data frequency compared with standard frequency value, it is determined as dead trace less than standard frequency value, wherein, institute
It is set-point or empirical value to state standard frequency value.
2. dead trace recognition methods in geological data according to claim 1, it is characterised in that each road geological data
FrequencyWherein, geological data frequency f is defined as the number that the execution cycle changes in the unit interval, and T represents each genuine
Shake number of the data in internal vibration in one second.
3. dead trace recognition methods in geological data according to claim 1, it is characterised in that the standard frequency value scope
For 1 hertz~5 hertz.
4. dead trace recognition methods in geological data according to claim 1, it is characterised in that the standard frequency value is 3
Hertz.
A kind of 5. method for optimizing seismic data process, it is characterised in that the described method comprises the following steps：
Geological data is gathered, calculates each seismic channel geological data frequency；
By each seismic channel geological data frequency compared with standard frequency value, it is determined as dead trace less than standard frequency value, wherein, institute
It is set-point or empirical value to state standard frequency value；
The numerical value of each sampled point of dead trace is multiplied by 0 to handle dead trace, the geological data after being optimized.
6. the method for optimization seismic data process according to claim 5, it is characterised in that each road geological data
FrequencyWherein, geological data frequency f is defined as the number that the execution cycle changes in the unit interval, and T represents each genuine
Shake number of the data in internal vibration in one second.
7. the method for optimization seismic data process according to claim 5, it is characterised in that the standard frequency value scope
For 1 hertz~5 hertz.
8. the method for optimization seismic data process according to claim 5, it is characterised in that the standard frequency value is 3
Hertz.
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| CN111596357A (en) * | 2019-02-20 | 2020-08-28 | 中国石油天然气集团有限公司 | Method and device for analyzing working state of submarine acquisition node |
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Cited By (2)
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Effective date of registration: 20180408 Address after: No. 189, fan Yangxi Road, Zhuozhou City, Baoding, Hebei Applicant after: BGP INC., CHINA NATIONAL PETROLEUM Corp. Address before: No. 216, No. 216, Huayang Avenue, Tianfu New District, Sichuan, Sichuan Applicant before: GEOPHYSICAL EXPLORATION COMPANY OF CNPC CHUANQING DRILLING ENGINEERING Co.,Ltd. |
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Application publication date: 20180406 |