CN103675903A - Multi-source seismic wave field separating method by utilizing random denoising technology - Google Patents
Multi-source seismic wave field separating method by utilizing random denoising technology Download PDFInfo
- Publication number
- CN103675903A CN103675903A CN201210330401.4A CN201210330401A CN103675903A CN 103675903 A CN103675903 A CN 103675903A CN 201210330401 A CN201210330401 A CN 201210330401A CN 103675903 A CN103675903 A CN 103675903A
- Authority
- CN
- China
- Prior art keywords
- data
- random
- wave field
- gather data
- denoising
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Abstract
The invention provides a multi-source seismic wave field separating method by utilizing a random denoising technology, and belongs to the field of oil exploration. The method comprises the following steps: performing data exchange first, that is, converting common-shot-gather data into non-common-shot-gather data; then utilizing a random denoising method to remove the interference shot noise generated by interference shot signals in the non-common-shot-gather data; finally, performing data inverse transformation, that is, converting the non-common-shot-gather data into the common-shot-gather data again, so as to realize the wave field separation of multi-source seismic data. As for the seismic data of 10 or more synchronous-source seismic events, when the method is adopted for respectively performing conventional processing, pre-stack time shift and post-stack depth migration, a better imaging effect can be always achieved.
Description
Technical field
The invention belongs to petroleum exploration field, be specifically related to a kind of random many focus of denoising seismic wave field separation method, for processing the early stage of many focus of oil-gas exploration simultaneous shots (vibroseis synchronous scanning) seismic data.
Background technology
Many focus simultaneous shots seismic technology is a kind of seismic acquisition technology, has started abroad to move towards practical, but because the wave field of synchronous epicenter excitation is interfered mutually, causes data to process very difficulty.Adopt many source wavefields isolation technics, many focus seismic data is decomposed into the seismic data of single focus, then utilizing existing single focus treatment technology to process it is the main method that existing many focus seismic data is processed, so effective separation of many focus seismic data is realized to one of gordian technique of above-mentioned disposal route.
Had at present multiple many focus seismic wave field isolation technics, these methods can be divided into two classes.One class is the wave field separation for special many focus data that acquisition technique gathers.The general separating effect of these class methods is relatively good, but usable range is limited; Although another kind of, the type of image data is not done to requirement, when more for synchronous focus number, mostly have the sordid problem of wave field separation.
Summary of the invention
The object of the invention is to solve the difficult problem existing in above-mentioned prior art, a kind of random many focus of denoising seismic wave field separation method is provided, according to many focus seismic interference big gun noise, at non-big gun, concentrating is this random feature, utilize random noise-removed technology to eliminate and interfere big gun noise in non-shot gather data body altogether, complete the wave field separation to many focus seismic data, realize and utilize existing seismic prospecting data to process the processing of business software to many focus seismic data.
The present invention is achieved by the following technical solutions:
A kind of random many focus of denoising seismic wave field separation method, first described method carries out data transformation, be about to shot gather data altogether and be transformed to non-shot gather data altogether, then utilize random denoising method to remove in described non-shot gather data altogether by the interference big gun noise of interfering big gun signal to produce, finally carry out data inverse transformation, be about to non-shot gather data altogether and remap again as common shot gather data, thereby realize the wave field separation to many focus seismic data.
Described data transformation is achieved in that according to the space attribute relation between explosive source position and geophone station position, and the common shot gather data of many focus simultaneous shots generation is converted to non-shot gather data altogether.
Described non-shot gather data is altogether common midpoint gather or common detector gather.
The random denoising method of described utilization is removed in described non-shot gather data altogether and is achieved in that in non-shot gather data altogether by the interference big gun noise of interfering big gun signal to produce, according to interfering big gun noise, be the feature of random noise, utilize random denoising method to eliminate and interfere big gun noise.
Described random denoising method adopts the various random denoising methods such as FX predictive filtering or dip filtering or medium filtering or FK filtering.
Described data inverse transformation is achieved in that according to the space attribute relation between explosive source position and geophone station position, described non-shot gather data is altogether carried out to inverse transformation, thereby obtain the common shot gather data after wave field separation.
Compared with prior art, the invention has the beneficial effects as follows: both can utilize the random noise-removed technology in existing commercial processes software, noise-removed technology that also can exploitation.For the seismic data of 10 and 10 above synchronous focus, adopt said method to carry out wave field separation, then carry out respectively conventional processing and pre-stack time migration and pre-stack depth migration, all can reach good imaging effect.
Accompanying drawing explanation
Fig. 1 is the step block diagram of many focus of the random denoising of the present invention seismic wave field separation method.
Fig. 2-1st, simulates the big gun record before the wave field separation of many focus seismic data in the embodiment of the present invention.
Fig. 2-2nd, utilizes the left side big gun record after the wave field separation that the inventive method carries out obtaining after wave field separation experiment to Fig. 2-1.
Fig. 2-3rd, utilizes the right side big gun record after the wave field separation that the inventive method carries out obtaining after wave field separation experiment to Fig. 2-1.
Fig. 3-1st, the big gun record before the wave field separation of many focus seismic data that in the embodiment of the present invention, certain work area gathers by DSSS method.
Fig. 3-2nd, utilizes the big gun record after the separation that the inventive method carries out obtaining after wave field separation experiment to Fig. 3-1.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail:
Present many focus earthquake-capturing does not have strict coherence request to synchronous focus on firing time, so just exist the random time difference between simultaneous shots focus, in common-shot-gather, interfere like this noise of big gun to be correlated with, in the time of being total to shot gather data and being transformed to the non-common-shot-gathers such as common midpoint gather or common detector gather, existence due to the random time difference between simultaneous shots big gun, it is random interfering the noise of big gun, utilize random noise-removed technology just can remove these by the random noise of interfering big gun signal to produce, when data being remapped into common big gun collection, eliminated the noise of interfering big gun, thereby realized the wave field separation to many focus seismic data.
The step of described method as shown in Figure 1, comprising:
1) data transformation
According to the space attribute relation between explosive source position and geophone station position, the common shot gather data (just existing the random time difference between image data) that many focus simultaneous shots is produced is converted to non-shot gather data altogether, as: common midpoint gather or common detector gather.Utilize existing commercial processes software just can extract various data track collection, realize this conversion.
2) random denoising
In non-shot gather data altogether, according to interfering big gun noise, be the feature of random noise, utilize the various conventional random denoising module (as: FX predictive filtering, dip filtering, medium filtering, FK filtering etc.) having in existing commercial processes software to eliminate and interfere big gun noise.
3) data inverse transformation
Non-shot gather data is altogether carried out to inverse transformation, thereby form the shot gather data after separation.Data inverse transformation is the inverse process of aforementioned data conversion, remains that the space attribute relation utilized between explosive source position and geophone station position realizes, and utilizes existing commercial processes software just can extract various data track collection, realizes this conversion.
In order to prove the effect of the inventive method, first utilize the inventive method to simulating many focus seismic data (as shown in Fig. 2-1, have left and right two big guns record to mix) carried out wave field separation experiment, from the big gun record separation, (the left side big gun record after wave field separation is as shown in Fig. 2-2, right side big gun record after wave field separation is as Figure 2-3) see, separating effect is more satisfactory, then the data after separation has been carried out respectively to conventional processing, migration before stack processing, imaging effect is fine.
Then, utilize the inventive method with many focus seismic data (as shown in Fig. 3-1) that DSSS method gathers, to carry out wave field separation experiment to certain work area, comparison diagram 3-1 and Fig. 3-2 can be found out, in Fig. 3-1, in Fig. 3-2 record of the interference big gun noise of black triangle region and rectangular area after separated, be substantially eliminated, separating effect is obvious.
Technique scheme is one embodiment of the present invention, for those skilled in the art, the invention discloses on the basis of application process and principle, be easy to make various types of improvement or distortion, and be not limited only to the described method of the above-mentioned embodiment of the present invention, therefore previously described mode is just preferred, and does not have restrictive meaning.
Claims (6)
1. random many focus of denoising seismic wave field separation method, it is characterized in that: first described method carries out data transformation, be about to shot gather data altogether and be transformed to non-shot gather data altogether, then utilize random denoising method to remove in described non-shot gather data altogether by the interference big gun noise of interfering big gun signal to produce, finally carry out data inverse transformation, be about to non-shot gather data altogether and remap again as common shot gather data, thereby realize the wave field separation to many focus seismic data.
2. random many focus of denoising seismic wave field separation method according to claim 1, it is characterized in that: described data transformation is achieved in that according to the space attribute relation between explosive source position and geophone station position, and the common shot gather data of many focus simultaneous shots generation is converted to non-shot gather data altogether.
3. random many focus of denoising seismic wave field separation method according to claim 2, is characterized in that: described non-shot gather data is altogether common midpoint gather or common detector gather.
4. random many focus of denoising seismic wave field separation method according to claim 3, it is characterized in that: the random denoising method of described utilization is removed in described non-shot gather data altogether and is achieved in that in non-shot gather data altogether by the interference big gun noise of interfering big gun signal to produce, according to interfering big gun noise, be the feature of random noise, utilize random denoising method to eliminate and interfere big gun noise.
5. random many focus of denoising seismic wave field separation method according to claim 4, is characterized in that: described random denoising method adopts FX predictive filtering or dip filtering or medium filtering or FK filtering.
6. random many focus of denoising seismic wave field separation method according to claim 5, it is characterized in that: described data inverse transformation is achieved in that according to the space attribute relation between explosive source position and geophone station position, described non-shot gather data is altogether carried out to inverse transformation, thereby obtain the common shot gather data after wave field separation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210330401.4A CN103675903A (en) | 2012-09-07 | 2012-09-07 | Multi-source seismic wave field separating method by utilizing random denoising technology |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210330401.4A CN103675903A (en) | 2012-09-07 | 2012-09-07 | Multi-source seismic wave field separating method by utilizing random denoising technology |
Publications (1)
Publication Number | Publication Date |
---|---|
CN103675903A true CN103675903A (en) | 2014-03-26 |
Family
ID=50314022
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201210330401.4A Pending CN103675903A (en) | 2012-09-07 | 2012-09-07 | Multi-source seismic wave field separating method by utilizing random denoising technology |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103675903A (en) |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105093275A (en) * | 2014-05-09 | 2015-11-25 | 中国石油化工股份有限公司 | Effective signal extraction ISS wave field separation method based on speed model |
CN105277975A (en) * | 2014-07-23 | 2016-01-27 | 中国石油化工股份有限公司 | Harmonic-wave removing method in multi-seismic-source seismic data processing |
CN106154330A (en) * | 2016-06-20 | 2016-11-23 | 吉林大学 | Electromagnetic type controlled source parabolic Radon transform suppresses parallel focus crosstalk noise method |
CN106468784A (en) * | 2015-08-20 | 2017-03-01 | 中国石油化工股份有限公司 | A kind of denoising method based on poststack seismic data signal to noise ratio attribute and device |
CN107966728A (en) * | 2016-10-19 | 2018-04-27 | 中国石油化工股份有限公司 | The earthquake collection method and device of the more Seismic Source Systems of dynamite source |
CN110967750A (en) * | 2019-12-16 | 2020-04-07 | 中国海洋石油集团有限公司 | Multi-source seismic mixed wave field separation method and device |
CN111413736A (en) * | 2020-05-11 | 2020-07-14 | 安徽理工大学 | Roadway seismic reflection advanced detection method capable of realizing simultaneous excitation of multiple seismic sources |
CN111781646A (en) * | 2020-06-29 | 2020-10-16 | 广州海洋地质调查局 | Amplitude-preserving and fidelity-preserving linear coherent noise suppression method and processing terminal |
US11280924B2 (en) | 2017-05-17 | 2022-03-22 | Saudi Arabian Oil Company | Suppressing noises in seismic data |
US11320557B2 (en) | 2020-03-30 | 2022-05-03 | Saudi Arabian Oil Company | Post-stack time domain image with broadened spectrum |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4992995A (en) * | 1989-10-24 | 1991-02-12 | Amoco Corporation | Methods for attenuating noise in seismic data |
US20030055569A1 (en) * | 2001-09-14 | 2003-03-20 | Andrew P. Shatilo | Method for attenuating noise in seismic data |
US20090168600A1 (en) * | 2007-12-26 | 2009-07-02 | Ian Moore | Separating seismic signals produced by interfering seismic sources |
CN101893719A (en) * | 2010-04-16 | 2010-11-24 | 西安石油大学 | Method for separating and de-noising wave fields of longitudinal and transverse earthquake waves |
CN102124374A (en) * | 2008-08-15 | 2011-07-13 | Bp北美公司 | Method for separating independent simultaneous sources |
-
2012
- 2012-09-07 CN CN201210330401.4A patent/CN103675903A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4992995A (en) * | 1989-10-24 | 1991-02-12 | Amoco Corporation | Methods for attenuating noise in seismic data |
US20030055569A1 (en) * | 2001-09-14 | 2003-03-20 | Andrew P. Shatilo | Method for attenuating noise in seismic data |
US20090168600A1 (en) * | 2007-12-26 | 2009-07-02 | Ian Moore | Separating seismic signals produced by interfering seismic sources |
CN102124374A (en) * | 2008-08-15 | 2011-07-13 | Bp北美公司 | Method for separating independent simultaneous sources |
CN101893719A (en) * | 2010-04-16 | 2010-11-24 | 西安石油大学 | Method for separating and de-noising wave fields of longitudinal and transverse earthquake waves |
Non-Patent Citations (5)
Title |
---|
ARAZ MAHDAD 等: "Separation of blended data by iterative estimation and subtraction of blending interference noise", 《GEOPHYSICS》 * |
宋维琪 等: "《地震数据处理应用技术(修订版)》", 31 March 2008, 中国石油大学出版社 * |
张军华 等: "地震资料去噪方法技术综合评述", 《地球物理学进展》 * |
杨振武: "《海洋石油地震勘探-资料采集与处理》", 31 July 2012, 石油工业出版社 * |
沈鸿雁: "地震勘探波场分离与去噪处理思路", 《西部探矿工程》 * |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105093275B (en) * | 2014-05-09 | 2017-08-18 | 中国石油化工股份有限公司 | Useful signal based on rate pattern extracts ISS wave field separation methods |
CN105093275A (en) * | 2014-05-09 | 2015-11-25 | 中国石油化工股份有限公司 | Effective signal extraction ISS wave field separation method based on speed model |
CN105277975A (en) * | 2014-07-23 | 2016-01-27 | 中国石油化工股份有限公司 | Harmonic-wave removing method in multi-seismic-source seismic data processing |
CN105277975B (en) * | 2014-07-23 | 2018-08-31 | 中国石油化工股份有限公司 | A kind of harmonic wave minimizing technology in more focus seism processings |
CN106468784A (en) * | 2015-08-20 | 2017-03-01 | 中国石油化工股份有限公司 | A kind of denoising method based on poststack seismic data signal to noise ratio attribute and device |
CN106154330A (en) * | 2016-06-20 | 2016-11-23 | 吉林大学 | Electromagnetic type controlled source parabolic Radon transform suppresses parallel focus crosstalk noise method |
CN107966728A (en) * | 2016-10-19 | 2018-04-27 | 中国石油化工股份有限公司 | The earthquake collection method and device of the more Seismic Source Systems of dynamite source |
US11280924B2 (en) | 2017-05-17 | 2022-03-22 | Saudi Arabian Oil Company | Suppressing noises in seismic data |
CN110967750A (en) * | 2019-12-16 | 2020-04-07 | 中国海洋石油集团有限公司 | Multi-source seismic mixed wave field separation method and device |
US11320557B2 (en) | 2020-03-30 | 2022-05-03 | Saudi Arabian Oil Company | Post-stack time domain image with broadened spectrum |
CN111413736A (en) * | 2020-05-11 | 2020-07-14 | 安徽理工大学 | Roadway seismic reflection advanced detection method capable of realizing simultaneous excitation of multiple seismic sources |
CN111413736B (en) * | 2020-05-11 | 2022-08-26 | 安徽理工大学 | Roadway seismic reflection advanced detection method capable of realizing simultaneous excitation of multiple seismic sources |
CN111781646A (en) * | 2020-06-29 | 2020-10-16 | 广州海洋地质调查局 | Amplitude-preserving and fidelity-preserving linear coherent noise suppression method and processing terminal |
CN111781646B (en) * | 2020-06-29 | 2022-04-15 | 广州海洋地质调查局 | Amplitude-preserving and fidelity-preserving linear coherent noise suppression method and processing terminal |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103675903A (en) | Multi-source seismic wave field separating method by utilizing random denoising technology | |
CN102778693B (en) | Diffracted wave separation processing method based on reflection wave layer leveling extraction and elimination | |
CN101630017B (en) | Method for separating seismic wave fields of different types in two-dimensional vertical seismic profile | |
CN108037526A (en) | Reverse-time migration method based on all-wave wave field VSP/RVSP seismic datas | |
Wang et al. | Reverse time migration of multiples: Eliminating migration artifacts in angle domain common image gathers | |
CN103091710A (en) | Reverse time migration imaging method and device | |
CN109307890A (en) | Reverse-time migration method and system based on uplink and downlink wavefield decomposition | |
CN1873441A (en) | Method for suppressing background noise not related to excitation source in seismic data enhancement | |
CN104914466B (en) | A kind of method for improving seismic data resolution | |
CN101382598B (en) | Pressing method for true 3-d seismics data linear noise | |
CN103675896B (en) | A kind of diffracted wave and echo method for separate imaging | |
CN102798894A (en) | Sliding scanning harmonic suppression method based on sparse inversion | |
CN103076626B (en) | A kind of wave field purification treatment method | |
CN107884828A (en) | It is a kind of in spatial frequency domain based on the theoretical terrible ripple drawing method of Green | |
CN108957551B (en) | Vibroseis harmonic suppression method based on reconstructed ground force signal | |
Yan et al. | Angle gather extraction for acoustic and isotropic elastic RTM | |
CN113885079B (en) | High-precision multi-azimuth reverse-time seismic source imaging method based on elastic wave field decoupling | |
CN102103215B (en) | Method for suppressing surface waves of three-dimensional high-density seismic prospecting records before stack | |
CN104570114B (en) | A kind of reverse-time migration Noise Elimination method based on wavefield decomposition | |
CN105277983A (en) | Novel method for suppressing vibroseis slide scanning harmonic interference | |
CN103454675B (en) | A kind of wave field separation processing method of the elimination random disturbances based on instrument channel number | |
CN105277987A (en) | Vibroseis harmonic wave suppressing method based on predictive filtering method and pure phase shifting method | |
Krohn et al. | HFVS™: Enhanced data quality through technology integration | |
CN104133244A (en) | Near-surface static-correction processing method for seismic source shear wave exploration | |
CN105093275B (en) | Useful signal based on rate pattern extracts ISS wave field separation methods |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20140326 |