CN106569273A - Position nearest channel gather supplement method-based regularized data processing method and device - Google Patents
Position nearest channel gather supplement method-based regularized data processing method and device Download PDFInfo
- Publication number
- CN106569273A CN106569273A CN201510649236.2A CN201510649236A CN106569273A CN 106569273 A CN106569273 A CN 106569273A CN 201510649236 A CN201510649236 A CN 201510649236A CN 106569273 A CN106569273 A CN 106569273A
- Authority
- CN
- China
- Prior art keywords
- offset
- offset distance
- regularization
- offsetj
- cmp
- 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.)
- Granted
Links
Landscapes
- Instructional Devices (AREA)
Abstract
The present invention provides a position nearest channel gather supplement method-based regularized data processing method and device. The method comprises the steps of partitioning the azimuth angles and grouping the offsets to obtain the offset groups of which the sequential offset increment is i; aiming at each to-be-regularized offset group offset<j>, taking the channel gather of the offset<j> as the input of a first branch, and taking the offset<j-i> and the offset <j+i> as the input of a second branch; aiming at the input of the second branch, extracting the head cmp corresponding to each offset, connecting with the input of the first branch, and obtaining the absolute value of the offsets of all data; summing the offset<j> and the half of the offset increment i, and then subtracting the merged offset to obtain an absolute value and give to a channel head tr; sorting according to the channel heads cmp and tr, and giving a sorted channel head character SEQ_TRC_IN_GATHER to the channel head T1; merging the first channel of each channel corresponding to the channel head character T1 with all channels of the residual other offsets within a regularization offset range.
Description
Technical field
The invention belongs to geophysical exploration data processing field.In particular it relates to a kind of nearest based on position
Mend the regularization data processing method of Dow process.
Background technology
When horizontal (the arrangement width) of observation system is more than 0.5 with the ratio of longitudinal direction (spread length), it is
Wide-azimuth observation system, is narrow azimuthal observation system when the transverse and longitudinal ratio of observation system is less than 0.5.In recent years
Come, the advantage of the split broadening azimuth observation of people has than more comprehensively understanding, and one side wide-azimuth is more
Easily across surface obstructions thing and underground shadow band, second, the amplitude of wide-azimuth seismic data is with geophone offset
With azimuthal change with more the ability for recognizing direction crack, formation velocity also has with azimuthal change
Beneficial to the identification of tomography, crack and formation lithology change；Third, wide-azimuth is differentiated than narrow azimuth imaging
Power is high, while the ability of MULTIPLE ATTENUATION is higher.However, with the increase of observed azimuth, speed is with side
The problems such as related anisotropy in the change of the parallactic angle travel-time difference related to azimuth and azimuth, is therewith
Produce.When collection ground is complicated or field construction big gun is reasonable according to the actual conditions of data when examining uneven
Carrying out point azimuth extract particularly important because point azimuth is carried out to seismic channel set dividing when taking, can reduce
The degree of covering of each orientation angle gathers, causes the degree of covering of each orientation angle gathers variant, when serious,
Even cavity occurs, so had a strong impact on normal-moveout spectrum, azimuth superposition and the skew of orientation angle gathers
Effect, causes the directional characteristic for affecting to judge stratum.Therefore, take except rationally being divided according to actual subsurface features
Outside azimuth, how regularization exist each orientation in empty road offset gather it is extremely important.Data rule
Process, have interpolation processing at present, short covering road is processed etc..
The content of the invention
Present invention aim at provide it is a kind of based on position mend recently Dow process regularization data processing method and
Device.The method and device utilize nearest piggybacking rule, come to because a point azimuth degree of covering is reduced or is led
The road collection in Zhi Kong roads carries out proximal most position and mends the purpose that road reaches regularization data.
A kind of one aspect of the present invention, it is proposed that regularization data processing method for mending Dow process recently based on position,
The method is comprised the following steps：In point azimuth is processed, to the data side of doing for needing to carry out regularization process
Parallactic angle subregion, forms the orientation angle gathers of multiple different orientations, and carries out prestack to each orientation angle gathers
Offset distance packet before skew, sequence offset is obtained away from the offset distance group that increment is i for each orientation angular domain；
Offset distance group offset1 of regularization, offset2 ... offsetj ... offsetn is wanted to be wrapped respectively for each
The regularization for including following operation is processed, and wherein offsetj is in above-mentioned certain orientation angular domain in offset distance group
Individual offset distance group：1) will regularization offset distance group offsetj road collection as the first branch input, will
With want the offset distance group of regularization close to two offset distance groups offsetj-i and offsetj+i as the second branch
Input；2) for the input of the second branch, with trace header head roads extraction method, each offset distance corresponding first
Individual CMP road is extracted, and is attached with the input of the first branch, and to the inclined of all data for coming in
Move away from taking absolute value；3) half of offsetj and offset distance increment i is sued for peace, then with step 2) in merge
Offset distance after coming in subtracts each other and takes absolute value, and by the value for obtaining the trace header tr of corresponding road is given；4) by trace header cmp
With tr to through step 3) after data carry out sorting gather, and by the header word after sequence
SEQ_TRC_IN_GATHER gives trace header T1；5) will be through step 4) data in header word T1
The first road of corresponding per pass, is closed with all roads of remaining other offset distances in the range of regularization offset distance
And, obtain offset distance group offsetj+0.5 × i.
On the other hand, it is proposed that a kind of regularization data processing equipment for mending Dow process recently based on position, the dress
Put including：First component, in processing at point azimuth, the data to needing to carry out regularization process are done
Azimuth subregion, forms the orientation angle gathers of multiple different orientations, and each orientation angle gathers is folded
Offset distance packet before front skew, sequence offset is obtained away from the offset distance that increment is i for each orientation angular domain
Group；Second component, for wanting offset distance group offset1 of regularization for each,
Offset2 ... offsetj ... offsetn, carry out including that respectively the regularization of following operation is processed, and wherein offsetj is
An offset distance group in the offset distance group of above-mentioned certain orientation angular domain：1) will regularization offset distance group
The road collection of offsetj as the first branch input, by with want the offset distance group of regularization close to two offset distances
Inputs of the group offsetj-i and offsetj+i as the second branch；2) for the input of the second branch, trace header is used
First road extraction method, extracts the corresponding first CMP road of each offset distance, with the first branch
Input is attached, and the offset distance of all data to coming in takes absolute value；3) by offsetj and offset distance
The half summation of increment i, then with step 2) in be merged in after offset distance subtract each other and take absolute value, will obtain
Value give corresponding road trace header tr；4) by trace header cmp and tr to through step 3) after data carry out point
Gather, and give trace header T1 by the header word SEQ_TRC_IN_GATHER after sequence；5) will pass through
Step 4) data in the corresponding per pass of header word T1 first road, it is inclined in regularization with remaining other offset distances
The all roads moved in the range of are merged, and obtain offset distance group offsetj+0.5 × i.
The disclosure is realized carrying out regularization process to a point orientation angle gathers data, it is to avoid taken due to azimuthal point,
Superposition that the empty road or each orientation angle gathers degree of covering difference that caused road collection data are present is caused greatly and
Offset effect is poor, so as to affect the directional characteristic and direction anisotropic on comprehensive descision stratum.Make every effort to for research
Work area crack, judge fault strike, and research formation velocity is with azimuthal change and studies amplitude and examines with big gun
More accurately first-hand data is provided away from azimuthal change.
Description of the drawings
Disclosure illustrative embodiments are described in more detail by combining accompanying drawing, the disclosure it is above-mentioned
And other purposes, feature and advantage will be apparent from, wherein, in disclosure illustrative embodiments
In, identical reference number typically represents same parts.
Fig. 1 shows the flow chart of regularization data processing method according to embodiments of the present invention.
Fig. 2 shows the migrated section figure after the data normalization of azimuth s1 scopes.
Fig. 3 shows the migrated section figure after the data normalization of azimuth s2 scopes.
Fig. 4 shows the migrated section figure after the data normalization of azimuth s3 scopes.
Specific embodiment
The preferred embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing in accompanying drawing
The preferred embodiment of the disclosure, however, it is to be appreciated that may be realized in various forms the disclosure and should not be by
Embodiments set forth herein is limited.Conversely, thesing embodiments are provided so that the disclosure is more saturating
It is thorough and complete, and the scope of the present disclosure can be conveyed to intactly those skilled in the art.
Because orientation angle gathers are the bases that point azimuth is processed, therefore reasonably point orientation angle gathers are formed,
The regularization process for carrying out point orientation angle gathers is the basis that point azimuth is processed.The present invention is mainly by essence
Carefully, clear and definite flow process provides a kind of reliable piggybacking method recently and carries out regularization process to a point orientation angle gathers,
Carry out regularization point orientation angle gathers, position mended too far while effectively limiting and mending the road positional deviation come in road,
So as to affect a point azimuthal bearing accuracy.Effectively and uniformly a point orientation angle gathers are point azimuthal speed point
Analyse and provide the basis of effective offset data.
Compared with prior art, the invention has the beneficial effects as follows：By trace header control, it is ensured that cover the road for coming
For target track proximal most position road, while point orientation angle gathers regularization is guaranteed, have certain in precision
Ensure.
Fig. 1 shows according to embodiments of the present invention a kind of mend recently at the regularization data of Dow process based on position
The flow chart of reason method, the method includes：
Step 101, in point azimuth is processed, to needing the data for carrying out regularization process to do azimuth subregion,
The orientation angle gathers of multiple different orientations (sector) are formed, and it is inclined to carry out prestack to each orientation angle gathers
Offset distance packet before shifting, sequence offset is obtained away from the offset distance group that increment is i for each orientation angular domain.
For example, required according to user, the extraction of three orientation angle gathers can be carried out, be divided into azimuth s1
Area's (0 degree to 30 degree), s2 areas (150 degree to 210 degree), s3 areas (330 degree to 360 degree).Can be respectively
Each azimuthal road collection data are carried out with a point offset distance combination, the offset distance group sequence that increment is i=80 is formed.
It will be understood by those skilled in the art that all concrete numerical values that herein and herein other are given everywhere are simply
The present invention is readily appreciated, and not limits the present invention by any way.
Offset distance group offset1 of regularization is wanted for each, offset2 ... offsetj ... offsetn respectively (can
The regularization for carrying out comprising the following steps 102 to step 106 one by one in turn) is processed, wherein offsetj
An offset distance group in above-mentioned certain orientation angular domain in offset distance group, such as including offset0, offset80,
offset160…。
Step 102, will regularization offset distance group offsetj road collection as the first branch input, will be with
Want the offset distance group of regularization close to two offset distance groups offsetj-i (increment) and offsetj+i (increment)
As the input of the second branch；
Step 103, it is with trace header head roads extraction method, each offset distance is corresponding for the input of the second branch
First CMP road is extracted, and is attached with the input of the first branch, and all data to coming in
Offset distance take absolute value.This step (can be indicated inclined by the input to the second branch according to trace header offset
Move away from) and cmp (instruction CMP) two-stages controlling, corresponding first cmp of each offset group
(or being referred to as head cmp) extracts (can be by exporting cmp in module SELECT_FIRST_TRACES
Port export out) realizing.
Step 104, the half of offsetj and offset distance increment i is sued for peace, then with step 2) in be merged in
Offset distance afterwards subtracts each other and takes absolute value, and by the value for obtaining the trace header tr of corresponding road is given.So, it is equivalent to only
The coverage of half increment is taken, the road positional deviation come in so as to effectively limit benefit road is mended position too far.
As an example it is assumed that offset distance group defines in the early time respectively 0,80,160 ..., offsetj is therein
Offset distance group 160, after itself and the summation of semi-increment 40 200 are.
Data after step 104 are carried out sorting choosing by step 105 by trace header cmp and tr (absolute value)
Row (carries out one-level sorting, with the absolute value of tr two grades of sortings are carried out) with cmp, and by the trace header after sequence
Word SEQ_TRC_IN_GATHER gives trace header T1, and by the road sequence number after sequence
SEQ_TRC_IN_GATHER gives trace header T1.
Step 106, by the first road of the corresponding per pass of header word T1 in the data of step 105, with residue
All roads of other offset distances in the range of regularization offset distance are merged, and obtain offset distance group offsetj+0.5
× i (such as 160+40 is 200).For example, because being 160 just in offset distance group offsetj of regularization,
Herein regularization offset distance scope is i.e. in the range of 80-240.
Can also subsequently carry out waiting operation to carrying out extracting by related trace header improving, that is, complete for one partially
Move the regularization data processing for mending Dow process recently based on position away from group offset1.
In one example, " merging " above can refer to the merging on trace header offset and cmp domains,
Offset is controlled as one-level trace header, and cmp is controlled as two grades of trace headers.
Successively the offset distance group in each sector can recently be mended respectively regularization.
Compared with prior art, the invention has the beneficial effects as follows：After centre is using a road conversion, it is possible to
Regularization number is improved by the distributed areas of the regularization data of conventional handling process control participation interpolation
According to precision, while saving many loaded down with trivial details computings, and facilitate feasible.
Using example
For ease of understanding the scheme and its effect of the embodiment of the present invention, a concrete application example given below.
It will be understood by those skilled in the art that the example is only for the purposes of understanding the present invention, its any detail is not
It is intended to limit the present invention by any way.
Still by taking S1, S2, S3 partitioned mode above as an example.Fig. 2,3,4 are carried out for a point bearing data
After regularization data processing, the corresponding migrated section figure of same position different orientations.Can by profile
Process through point azimuth although finding out, by the utilization of the regularization treatment technology of the embodiment of the present invention,
Do not occur on section has significantly sky road or picture arc phenomenon because of subangle on section.And,
Through point bearing data that regularization is processed, after skew, there is nuance in same position different orientations,
With more the ability in identification direction crack, formation velocity is also beneficial to tomography, crack with azimuthal change
With the identification of formation lithology change.And method is simple.
It is described above the presently disclosed embodiments, described above is exemplary, and non-exclusive,
And it is also not necessarily limited to disclosed each embodiment.In the scope and spirit without departing from illustrated each embodiment
In the case of, for those skilled in the art many modifications and changes will be apparent from.
The selection of term used herein, it is intended to best explain the principle of each embodiment, practical application or to market
In technology technological improvement, or other those of ordinary skill of the art is understood that and disclose herein
Each embodiment.
Claims (6)
1. a kind of regularization data processing method for being mended Dow process recently based on position, the method is comprised the following steps：
In point azimuth is processed, to needing the data for carrying out regularization process to do azimuth subregion, formed many
The orientation angle gathers of individual different orientations, and each orientation angle gathers are carried out with the offset distance before migration before stack point
Group, sequence offset is obtained away from the offset distance group that increment is i for each orientation angular domain；
Offset distance group offset1 of regularization, offset2 ... offsetj ... offsetn is wanted to enter respectively for each
Row includes the regularization process of following operation, and wherein offsetj is in above-mentioned certain orientation angular domain in offset distance group
An offset distance group：
1) will regularization offset distance group offsetj road collection as the first branch input, will with will rule
The offset distance group of change close to two offset distance groups offsetj-i and offsetj+i as the second branch input；
2) it is with trace header head roads extraction method, each offset distance is corresponding first for the input of the second branch
CMP road is extracted, and is attached with the input of the first branch, and the skew of all data to coming in
Away from taking absolute value；
3) half of offsetj and offset distance increment i is sued for peace, then with step 2) in be merged in after it is inclined
Move and take absolute value away from subtracting each other, by the value for obtaining the trace header tr of corresponding road is given；
4) by trace header cmp and tr to through step 3) after data carry out sorting gather, and by after sequence
Header word SEQ_TRC_IN_GATHER gives trace header T1；
5) will be through step 4) data in the corresponding per pass of header word T1 first road, with remaining other skews
Merge away from all roads in the range of regularization offset distance, obtain offset distance group offsetj+0.5 × i.
2. the regularization data processing method for mending Dow process recently based on position according to claim 1,
The corresponding first CMP road of each offset distance extract including：
The input of the second branch is controlled according to trace header offset and cmp two-stage, each offset groups correspondence
First cmp extract, wherein trace header offset be indicate offset distance trace header.
3. the regularization data processing method for mending Dow process recently based on position according to claim 2, its
In, the merging refers to the merging on trace header offset and cmp domains, and wherein offset is used as one-level trace header control
System, cmp is controlled as two grades of trace headers.
4. a kind of regularization data processing equipment for being mended Dow process recently based on position, the device is included：
First component, in processing at point azimuth, the data to needing to carry out regularization process do orientation
Angle subregion, forms the orientation angle gathers of multiple different orientations, and it is inclined to carry out prestack to each orientation angle gathers
Offset distance packet before shifting, sequence offset is obtained away from the offset distance group that increment is i for each orientation angular domain；
Second component, for wanting offset distance group offset1 of regularization for each,
Offset2 ... offsetj ... offsetn, carry out including that respectively the regularization of following operation is processed, and wherein offsetj is
An offset distance group in the offset distance group of above-mentioned certain orientation angular domain：
1) will regularization offset distance group offsetj road collection as the first branch input, will with will rule
The offset distance group of change close to two offset distance groups offsetj-i and offsetj+i as the second branch input；
2) it is with trace header head roads extraction method, each offset distance is corresponding first for the input of the second branch
CMP road is extracted, and is attached with the input of the first branch, and the skew of all data to coming in
Away from taking absolute value；
3) half of offsetj and offset distance increment i is sued for peace, then with step 2) in be merged in after it is inclined
Move and take absolute value away from subtracting each other, by the value for obtaining the trace header tr of corresponding road is given；
4) by trace header cmp and tr to through step 3) after data carry out sorting gather, and by after sequence
Header word SEQ_TRC_IN_GATHER gives trace header T1；
5) will be through step 4) data in the corresponding per pass of header word T1 first road, with remaining other skews
Merge away from all roads in the range of regularization offset distance, obtain offset distance group offsetj+0.5 × i.
5. the regularization data processing equipment for mending Dow process recently based on position according to claim 4,
The corresponding first CMP road of each offset distance extract including：
The input of the second branch is controlled according to trace header offset and cmp two-stage, each offset groups correspondence
First cmp extract, wherein trace header offset be indicate offset distance trace header.
6. the regularization data processing equipment for mending Dow process recently based on position according to claim 5, its
In, the merging refers to the merging on trace header offset and cmp domains, and wherein offset is used as one-level trace header control
System, cmp is controlled as two grades of trace headers.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510649236.2A CN106569273B (en) | 2015-10-09 | 2015-10-09 | Mend the regularization data processing method and device of Dow process recently based on position |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510649236.2A CN106569273B (en) | 2015-10-09 | 2015-10-09 | Mend the regularization data processing method and device of Dow process recently based on position |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106569273A true CN106569273A (en) | 2017-04-19 |
| CN106569273B CN106569273B (en) | 2018-11-13 |
Family
ID=58506015
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510649236.2A Active CN106569273B (en) | 2015-10-09 | 2015-10-09 | Mend the regularization data processing method and device of Dow process recently based on position |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106569273B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5182729A (en) * | 1991-09-03 | 1993-01-26 | Exxon Production Research Company | Reduction of sideswipe noise from seismic data by null steering |
| CN1516814A (en) * | 2001-06-16 | 2004-07-28 | ά˹�ض���Ƶ���ع�����˾ | Method of processing data |
| CN101512532A (en) * | 2006-06-10 | 2009-08-19 | 离子地球物理公司 | Apparatus and method for integrating survey parameters into a header |
| CN101614826A (en) * | 2008-06-26 | 2009-12-30 | 王振华 | During handling, realizes 3D seismic data the method and apparatus of binning homogenization |
| CN102230974A (en) * | 2011-04-08 | 2011-11-02 | 中国石油大学(华东) | Three-dimensional high-precision bin fractionation processing and evaluation technology for seismic data |
| CN102636811A (en) * | 2012-04-10 | 2012-08-15 | 恒泰艾普石油天然气技术服务股份有限公司 | Eliminating method of multiple waves in bidimensional seismic data on sea |
| CN103412330A (en) * | 2013-08-28 | 2013-11-27 | 中国科学院地质与地球物理研究所 | Seismic attribute data processing method and device |
| CN104570098A (en) * | 2015-01-28 | 2015-04-29 | 中国石油集团东方地球物理勘探有限责任公司 | Method and device for acquiring common-azimuth-angle seismic data |
-
2015
- 2015-10-09 CN CN201510649236.2A patent/CN106569273B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5182729A (en) * | 1991-09-03 | 1993-01-26 | Exxon Production Research Company | Reduction of sideswipe noise from seismic data by null steering |
| CN1516814A (en) * | 2001-06-16 | 2004-07-28 | ά˹�ض���Ƶ���ع�����˾ | Method of processing data |
| CN101512532A (en) * | 2006-06-10 | 2009-08-19 | 离子地球物理公司 | Apparatus and method for integrating survey parameters into a header |
| CN101614826A (en) * | 2008-06-26 | 2009-12-30 | 王振华 | During handling, realizes 3D seismic data the method and apparatus of binning homogenization |
| CN102230974A (en) * | 2011-04-08 | 2011-11-02 | 中国石油大学(华东) | Three-dimensional high-precision bin fractionation processing and evaluation technology for seismic data |
| CN102636811A (en) * | 2012-04-10 | 2012-08-15 | 恒泰艾普石油天然气技术服务股份有限公司 | Eliminating method of multiple waves in bidimensional seismic data on sea |
| CN103412330A (en) * | 2013-08-28 | 2013-11-27 | 中国科学院地质与地球物理研究所 | Seismic attribute data processing method and device |
| CN104570098A (en) * | 2015-01-28 | 2015-04-29 | 中国石油集团东方地球物理勘探有限责任公司 | Method and device for acquiring common-azimuth-angle seismic data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106569273B (en) | 2018-11-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105785439B (en) | The Forecasting Methodology and device of small scale heterogeneous geologic body spatial distribution position | |
| WO2016141598A1 (en) | Surface consistent amplitude compensation method and device in common attitude gather | |
| CN106154330B (en) | Electromagnetic type controlled source parabolic Radon transform suppresses parallel focus crosstalk noise method | |
| CN103744115B (en) | Method and system for carrying out data regularization processing in common offset distance and common azimuth angle domain | |
| CN105093326B (en) | A kind of seismic prospecting data medium wavelength residual static correction processing method | |
| CN105319587A (en) | Vibroseis shaping filtering method based on first arrival wavelet extraction | |
| CN103984024A (en) | Method for automatic correction of horizontal component data of three-component detector | |
| CN103713318A (en) | Three-dimensional stacked seismic data splicing method | |
| CN105301641A (en) | Azimuthal anisotropy speed inversion method and apparatus | |
| CN107861156B (en) | The extracting method and device of diffracted wave | |
| CN105204065A (en) | Method and device for picking up preliminary wave | |
| CN110333543A (en) | Post non of low resistance body explanation and imaging method and system based on reflection coefficient analysis | |
| CN104182651B (en) | For the automatic quality control method in micro-seismic event azimuth that three-component geophone is received | |
| CN104375181B (en) | A kind of method quickly generating three-dimensional common receiver first arrival road collection | |
| CN105866839B (en) | Static correction method and static correction device on basis of common-attitude trace gathers | |
| CN106094020A (en) | A kind of seismic inversion method and device | |
| CN107942389A (en) | For suppressing method, system and the computer-readable medium of adjacent big gun interference | |
| CN107957594A (en) | The oval bearing calibration of seismic data, dynamic bearing calibration and normal-moveout spectrum computational methods | |
| CN105277981B (en) | Nonuniformity time-lapse seismic bin matching process based on wave field extrapolation compensation | |
| CN106168675B (en) | Borehole microseismic P/S ripples event recognition method and device | |
| CN106443791A (en) | Method for calculating transverse wave residual static correction quantity of tilted stratum or anisotropic formation stratum | |
| CN106569273A (en) | Position nearest channel gather supplement method-based regularized data processing method and device | |
| CN109143344A (en) | Diffracted wave separation method, device and electronic equipment | |
| CN106199705A (en) | The detection method of seismic acquisition data | |
| CN104570098A (en) | Method and device for acquiring common-azimuth-angle seismic data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |