CN106569273B - Mend the regularization data processing method and device of Dow process recently based on position - Google Patents
Mend the regularization data processing method and device of Dow process recently based on position Download PDFInfo
- Publication number
- CN106569273B CN106569273B CN201510649236.2A CN201510649236A CN106569273B CN 106569273 B CN106569273 B CN 106569273B CN 201510649236 A CN201510649236 A CN 201510649236A CN 106569273 B CN106569273 B CN 106569273B
- Authority
- CN
- China
- Prior art keywords
- offset
- offset distance
- regularization
- offsetj
- header
- 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.)
- Active
Links
Landscapes
- Instructional Devices (AREA)
Abstract
A kind of regularization data processing method and device for mending Dow process recently based on position are proposed, including:Azimuth subregion and offset distance grouping obtain sequence offset away from the offset distance group that increment is i;For each offset distance group offsetj for wanting regularization:Using the trace gather of offsetj as the input of the first branch, using offsetj-i and offsetj+i as the input of the second branch;For the input of the second branch, the corresponding head cmp of each offset distance are extracted, the input with the first branch is attached, and is taken absolute value to the offset distance for all data come in;The half of offsetj and offset distance increment i is summed, then subtracts each other the imparting trace header tr that takes absolute value with the offset distance after merging;Sorting gather is carried out by trace header cmp and tr, and assigns the header word SEQ_TRC_IN_GATHER after sequence to trace header T1;The first road of the corresponding per pass of header word T1 and all roads of other the remaining offset distances within the scope of regularization offset distance are merged.
Description
Technical field
The invention belongs to field of geophysical prospecting data processing.Dow process is mended based on position recently in particular it relates to one kind
Regularization data processing method.
Background technology
It is wide-azimuth when the transverse direction (arrangement width) of observation system and the ratio of longitudinal (spread length) are more than 0.5
Observation system is narrow azimuthal observation system when the transverse and longitudinal of observation system ratio is less than 0.5.In recent years, the split broadening orientation of people
The advantages of angle observation, has than more comprehensively understanding, and one side wide-azimuth is easier to cross over surface obstructions object and underground shade
Band, second, the amplitude of wide-azimuth seismic data has more the ability in identification direction crack with geophone offset and azimuthal variation,
Formation velocity is also beneficial to tomography, the identification in crack and formation lithology variation with azimuthal variation;Third, wide-azimuth ratio
Narrow azimuth Imaging Resolution is high, while the ability of MULTIPLE ATTENUATION is stronger.However, with the increase of observed azimuth, speed
It is generated therewith with azimuthal variation, with the problems such as relevant travel-time difference in azimuth, anisotropy relevant with azimuth.When
A point azimuth is reasonably carried out when acquisition ground is complicated or field construction inspection point is uneven according to the actual conditions of data to take out
It takes particularly important, because when carrying out point azimuth to seismic channel set and point taking, the degree of covering of each orientation angle gathers can be reduced, led
It causes the degree of covering of each orientation angle gathers variant, when serious, or even will appear cavity, seriously affected azimuth road in this way
The normal-moveout spectrum of collection, the effect of azimuth superposition and offset, lead to the directional characteristic for influencing to judge stratum.Therefore, in addition to according to reality
Border subsurface features rationally point take outside azimuth, how regularization there are the offset gather in all directions of airway is extremely important.Money
The processing for expecting regularization has interpolation processing, the processing of short covering road etc. at present.
Invention content
It is a kind of in the regularization data processing method and device for mending Dow process recently based on position present invention aims at providing.
This method and device utilize nearest piggybacking rule, come to since a point azimuth degree of covering reduces or the trace gather of airway is caused to carry out
Proximal most position mends road and achievees the purpose that regularization data.
One aspect of the present invention, it is proposed that a kind of regularization data processing method for mending Dow process recently based on position, this method
Include the following steps:In dividing azimuth to handle, to needing the data for carrying out regularization processing to do azimuth subregion, formed multiple
The orientation angle gathers of different orientations, and the offset distance before migration before stack is carried out to each orientation angle gathers and is grouped, for each
Orientation angular domain obtains sequence offset away from the offset distance group that increment is i;The offset distance group offset1 of regularization is wanted for each,
Offset2 ... offsetj ... offsetn, carry out respectively include following operation regularization processing, wherein offsetj is above-mentioned
An offset distance group in some orientation angular domain in offset distance group:1) will regularization offset distance group offsetj trace gather make
For the input of the first branch, by with want the adjacent two offset distances group offsetj-i and offsetj+i of the offset distance group of regularization
Input as the second branch;2) it is directed to the input of the second branch, with the roads trace header head extraction method, each offset distance corresponding the
One common point road extracts, and the input with the first branch is attached, and is taken to the offset distance for all data come in
Absolute value;3) half of offsetj and offset distance increment i is summed, then subtracted each other with the offset distance after being merged in step 2)
It takes absolute value, obtained value is assigned to the trace header tr of corresponding road;4) trace header cmp and tr is pressed to carry out the data after step 3)
Gather is sorted, and assigns the header word SEQ_TRC_IN_GATHER after sequence to trace header T1;It 5) will be in the data Jing Guo step 4)
The first road of the corresponding per pass of header word T1 is closed with all roads of other the remaining offset distances within the scope 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 device include:
The first component, in dividing azimuth to handle, to needing the data for carrying out regularization processing to do azimuth subregion, being formed multiple
The orientation angle gathers of different orientations, and the offset distance before migration before stack is carried out to each orientation angle gathers and is grouped, for each
Orientation angular domain obtains sequence offset away from the offset distance group that increment is i;Second component, the offset for wanting regularization for each
Away from a group offset1, offset2 ... offsetj ... offsetn, carry out respectively include following operation regularization processing, wherein
Offsetj is an offset distance group in the offset distance group of some above-mentioned orientation angular domain:1) will regularization offset distance group
Input of the trace gather of offsetj as the first branch, by with want the adjacent two offset distance groups of the offset distance group of regularization
Inputs of the offsetj-i and offsetj+i as the second branch;2) it is directed to the input of the second branch, with the roads trace header head extraction method,
The corresponding first common point road of each offset distance is extracted, the input with the first branch is attached, and to coming in
The offset distances of all data take absolute value;3) half of offsetj and offset distance increment i is summed, then is closed with step 2)
And the offset distance after coming in subtracts each other and takes absolute value, and obtained value is assigned to the trace header tr of corresponding road;4) trace header cmp and tr is pressed to warp
It crosses the data after step 3) and carries out sorting gather, and assign the header word SEQ_TRC_IN_GATHER after sequence to trace header T1;5)
Will in the data Jing Guo step 4) the corresponding per pass of header word T1 first road, with other remaining offset distances in regularization offset distance model
All roads in enclosing merge, and obtain offset distance group offsetj+0.5 × i.
The disclosure is realized to dividing orientation angle gathers data to carry out regularization processing, is avoided taking due to azimuthal point, be caused
Trace gather data existing for airway or each orientation angle gathers degree of covering difference it is big caused by be superimposed and offset effect it is poor, from
And influence the directional characteristic and direction anisotropic on comprehensive descision stratum.Make every effort to for research work area crack, judge fault strike, and
Formation velocity is studied to provide more on the other hand with geophone offset and azimuthal variation offer with azimuthal variation and research amplitude
Material.
Description of the drawings
Disclosure illustrative embodiments are described in more detail in conjunction with the accompanying drawings, the disclosure above-mentioned and its
Its purpose, feature and advantage will be apparent, wherein in disclosure illustrative embodiments, identical reference label
Typically represent same parts.
Fig. 1 shows the flow chart of regularization data processing method according to the ... of the embodiment of the present invention.
Fig. 2 shows the migrated section figures after the data normalization of azimuth s1 ranges.
Fig. 3 shows the migrated section figure after the data normalization of azimuth s2 ranges.
Fig. 4 shows the migrated section figure after the data normalization of azimuth s3 ranges.
Specific implementation mode
The preferred embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Preferred embodiment, however, it is to be appreciated that may be realized in various forms the disclosure without the embodiment party that should be illustrated here
Formula is limited.On the contrary, these embodiments are provided so that the disclosure is more thorough and complete, and can be by the disclosure
Range is completely communicated to those skilled in the art.
Since orientation angle gathers are a bases for point azimuth processing, formation reasonably divides orientation angle gathers, carries out point
The regularization processing of orientation angle gathers is a point basis for azimuth processing.Mainly by fine, specific flow carries the present invention
Carry out regularization point orientation angle gathers, simultaneously to dividing orientation angle gathers to carry out regularization processing for a kind of reliable piggybacking method recently
Effectively limitation is mended the road position that road is come in and is deviateed by benefit road position too far, to influence a point azimuthal bearing accuracy.Effectively
Even point orientation angle gathers are point azimuthal velocity analysis and provide the basis of effective offset data.
Compared with prior art, the beneficial effects of the invention are as follows:It is controlled by trace header, it is ensured that it is target track to cover the road come
There is certain guarantee in proximal most position road while ensuring point orientation angle gathers regularization in precision.
Fig. 1 shows a kind of regularization data processing method for mending Dow process recently based on position according to the ... of the embodiment of the present invention
Flow chart, this method includes:
Step 101, it in dividing azimuth to handle, to needing the data for carrying out regularization processing to do azimuth subregion, is formed
The orientation angle gathers of multiple and different azimuths (sector), and each orientation angle gathers are carried out with the offset distance point before migration before stack
Group obtains sequence offset away from the offset distance group that increment is i for each orientation angular domain.
For example, it is required according to user, the extraction of three orientation angle gathers can be carried out, being divided into the azimuth areas s1, (0 degree is arrived
30 degree), the areas s2 (150 degree to 210 degree), the areas s3 (330 degree to 360 degree).Each azimuthal trace gather data can be carried out respectively
Divide offset distance combination, forms the offset distance group sequence that increment is i=80.It will be understood by those skilled in the art that herein and herein
Other all concrete numerical values provided everywhere are equal only to facilitate understanding is of the invention, and not limits this hair in any way
It is bright.
Offset distance group offset1, offset2 ... the offsetj ... offsetn of regularization is wanted for each, respectively
(can one by one in turn) carries out including the following steps that 102 are handled to the regularization of step 106, and wherein offsetj is above-mentioned
An offset distance group in some orientation angular domain in offset distance group, such as including offset0, offset80, offset160 ....
Step 102, will regularization offset distance group offsetj input of the trace gather as the first branch, will with to advise
The adjacent two offset distance groups offsetj-i (increment) of offset distance group then changed and offsetj+i (increment) are used as the second branch
Input;
Step 103, with the roads trace header head extraction method, each offset distance is first corresponding for the input of the second branch
Common point road extracts, and the input with the first branch is attached, and is taken absolutely to the offset distance for all data come in
Value.This step can according to trace header offset (instruction offset distance) and cmp, (instruction be concentrically by the input to the second branch
Point) two-stage controls, and corresponding first cmp (cmp headed by or) of each offset groups is extracted (can pass through module
The port that cmp is exported in SELECT_FIRST_TRACES exports out) it realizes.
Step 104, the half of offsetj and offset distance increment i are summed, then be merged in step 2) after offset
It takes absolute value away from subtracting each other, obtained value is assigned to the trace header tr of corresponding road.In this way, being equivalent to only take the covering model of half of increment
It encloses, deviates by benefit road position too far to effectively limit the road position that benefit road is come in.
As an example it is assumed that it is respectively 0,80,160 that offset distance group defines in the early time ..., offsetj is offset distance group therein
160, it is 200 after summing with semi-increment 40.
Step 105, by trace header cmp and tr (absolute value) to the data after step 104 carry out sorting gather (i.e. with
Cmp carries out level-one sorting, and two level sorting is carried out with the absolute value of tr), and by the header word SEQ_TRC_IN_GATHER after sequence
Trace header T1 is assigned, and assigns the road serial number SEQ_TRC_IN_GATHER after sequence to trace header T1.
Step 106, by the first road of the corresponding per pass of header word T1 in the data Jing Guo step 105, with other remaining offsets
It is merged away from all roads within the scope of regularization offset distance, obtains offset distance group offsetj+0.5 × i (such as 160+40
I.e. 200).For example, because being just 160 in the offset distance group offsetj of regularization, regularization offset distance range exists herein
Within the scope of 80-240.
It can also subsequently carry out to related trace header is extracted improve equal operation, that is, completing for an offset distance group
The regularization data processing for mending Dow process recently based on position of offset1.
In one example, " merging " above can refer to the merging on the domains trace header offset and cmp, and offset makees
It is controlled for level-one trace header, cmp is controlled as two level trace header.
The offset distance group in each sector can be carried out respectively successively mending road regularization recently.
Compared with prior art, the beneficial effects of the invention are as follows:After centre is using a road transformation, so that it may to pass through routine
Process flow control participate in the distributed areas of regularization data of interpolation and save simultaneously to improve the precision of regularization data
Many cumbersome operations, and facilitate feasible.
Using example
A concrete application example is given below in the scheme and its effect of the embodiment of the present invention for ease of understanding.This field
It should be understood to the one skilled in the art that the example is only for the purposes of understanding the present invention, any detail is not intended to be limited in any way
The system present invention.
Still by taking S1, S2, S3 partitioned mode above as an example.Fig. 2,3,4 be that bearing data is divided to carry out regularization data
Treated, the correspondence migrated section figure of same position different orientations.Although can be seen that through excessive azimuth by sectional view
Processing, but the utilization of regularization treatment technology through the embodiment of the present invention, do not occur on section because subangle and
There is apparent airway on section or draws arc phenomenon.Moreover, divide bearing data by regularization processing, it is same after offset
Position different orientations are there are nuance, with more the ability in identification direction crack, formation velocity with azimuthal variation,
Be conducive to tomography, the identification in crack and formation lithology variation.And method is simple.
The presently disclosed embodiments is described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes will be apparent from for the those of ordinary skill in art field.The selection of term used herein, purport
In the principle, practical application or technological improvement to the technology in market for best explaining each embodiment, or this technology is made to lead
Other those of ordinary skill in domain can understand each embodiment disclosed herein.
Claims (6)
1. a kind of regularization data processing method for mending Dow process recently based on position, this approach includes the following steps:
In dividing azimuth to handle, to needing the data for carrying out regularization processing to do azimuth subregion, multiple and different orientation are formed
The orientation angle gathers at angle, and the offset distance before migration before stack is carried out to each orientation angle gathers and is grouped, for each orientation angular domain
Sequence offset is obtained away from the offset distance group that increment is i;
Offset distance group offset1, offset2 ... the offsetj ... offsetn that regularization is wanted for each, is wrapped respectively
The regularization processing of following operation is included, wherein offsetj is an offset distance in offset distance group in some above-mentioned orientation angular domain
Group:
1) will regularization offset distance group offsetj input of the trace gather as the first branch, by with the offset of wanting regularization
Input away from the adjacent two offset distances group offsetj-i and offsetj+i of group as the second branch;
2) it is directed to the input of the second branch, with the roads trace header head extraction method, the corresponding first common point road of each offset distance
It extracts, the input with the first branch is attached, and is taken absolute value to the offset distance for all data come in;
3) half of offsetj and offset distance increment i are summed, then subtracts each other and take absolutely with the offset distance after being merged in step 2)
To value, obtained value is assigned to the trace header tr of corresponding road;
4) sorting gather carried out to the data after step 3) by trace header cmp and tr, and by the header word SEQ_ after sequence
TRC_IN_GATHER assigns trace header T1;
5) will in the data Jing Guo step 4) the corresponding per pass of header word T1 first road, it is inclined in regularization with other remaining offset distances
Shifting is merged away from all roads in range, obtains offset distance group offsetj+0.5 × i.
2. the regularization data processing method according to claim 1 for mending Dow process recently based on position, each offset distance
Corresponding first common point road extract including:
The input of second branch is controlled according to trace header offset and cmp two-stage, the corresponding head cmp of each offset groups are carried
It takes out, wherein trace header offset is the trace header for indicating offset distance.
3. the regularization data processing method according to claim 2 for mending Dow process recently based on position, wherein the merging
Refer to the merging on the domains trace header offset and cmp, wherein offset is controlled as level-one trace header, and cmp is controlled as two level trace header.
4. a kind of regularization data processing equipment for mending Dow process recently based on position, the device include:
The first component, in dividing azimuth to handle, to needing the data for carrying out regularization processing to do azimuth subregion, being formed
Multiple and different azimuthal orientation angle gathers, and the offset distance before migration before stack is carried out to each orientation angle gathers and is grouped, for
Each orientation angular domain obtains sequence offset away from the offset distance group that increment is i;
Second component, offset distance group offset1, offset2 ... the offsetj ... for wanting regularization for each
Offsetn, carry out respectively include following operation regularization processing, wherein offsetj is the offset of some above-mentioned orientation angular domain
Away from an offset distance group in group:
1) will regularization offset distance group offsetj input of the trace gather as the first branch, by with the offset of wanting regularization
Input away from the adjacent two offset distances group offsetj-i and offsetj+i of group as the second branch;
2) it is directed to the input of the second branch, with the roads trace header head extraction method, the corresponding first common point road of each offset distance
It extracts, the input with the first branch is attached, and is taken absolute value to the offset distance for all data come in;
3) half of offsetj and offset distance increment i are summed, then subtracts each other and take absolutely with the offset distance after being merged in step 2)
To value, obtained value is assigned to the trace header tr of corresponding road;
4) sorting gather carried out to the data after step 3) by trace header cmp and tr, and by the header word SEQ_ after sequence
TRC_IN_GATHER assigns trace header T1;
5) will in the data Jing Guo step 4) the corresponding per pass of header word T1 first road, it is inclined in regularization with other remaining offset distances
Shifting is merged away from all roads in range, obtains offset distance group offsetj+0.5 × i.
5. the regularization data processing equipment according to claim 4 for mending Dow process recently based on position, each offset distance
Corresponding first common point road extract including:
The input of second branch is controlled according to trace header offset and cmp two-stage, the corresponding head cmp of each offset groups are carried
It takes out, wherein trace header offset is the trace header for indicating offset distance.
6. the regularization data processing equipment according to claim 5 for mending Dow process recently based on position, wherein the merging
Refer to the merging on the domains trace header offset and cmp, wherein offset is controlled as level-one trace header, and cmp is controlled as two level trace header.
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 CN106569273A (en) | 2017-04-19 |
CN106569273B true 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 |
---|---|
CN106569273A (en) | 2017-04-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104597493B (en) | The evaluation methodology of observation system geometry changed design and device based on actual seismic data | |
Webster et al. | Soil transect correlograms of north Oxfordshire and their interpretation | |
CN106896415A (en) | A kind of short offset distance transient electromagnetic detecting method of ground well grounded source | |
CN104297784A (en) | Primary wave azimuthal anisotropy based fracture predicting method | |
CN103217710B (en) | Method and system for acquiring shared offset distance and shared azimuth angle domain track sets | |
CN104199103B (en) | Static correction method and static correction device for converted wave | |
CN103576213A (en) | Method for determining uniformity of properties of shot-geophone distances | |
CN106970417A (en) | Ellipse expansion converted-wave velocity analysis method and system | |
CN102053260B (en) | Method for acquiring azimuth velocity of primary wave and method for processing earthquake data | |
CN105093297A (en) | Quality control method for minor tremor positioning precision | |
CN106501841A (en) | A kind of Optimization Design of two-dimentional wode line seismic observation system and device | |
CN105866839B (en) | Static correction method and static correction device on basis of common-attitude trace gathers | |
CN106569273B (en) | Mend the regularization data processing method and device of Dow process recently based on position | |
CN106908836B (en) | Acquisition footprint drawing method and system | |
CN106199705A (en) | The detection method of seismic acquisition data | |
CN106094020A (en) | A kind of seismic inversion method and device | |
CN105467461A (en) | Method for recognizing geological anomalous body through employing two-dimensional apparent resistivity data | |
CN105277981B (en) | Nonuniformity time-lapse seismic bin matching process based on wave field extrapolation compensation | |
CN105590018A (en) | Oil-water layer identification method for sandstone and mudstone thin interbed oil reservoir | |
CN106990434A (en) | Ellipse expansion converted wave imaging method and system | |
CN105487111B (en) | A kind of automatic position angle gathers partial stack method | |
CN106842289A (en) | A kind of ingrated seismic trace suitable for Application of Logging-constrained Inversion goes compaction treatment method | |
CN110231661A (en) | The corresponding method of rock sample and ground observation measurement parameters of electrical induction | |
CN106885772A (en) | The ETM remote sensing hydroxyls altered mineral that a kind of geologic knowledge is participated in extracts improved method | |
CN105676278B (en) | A kind of method and apparatus for handling 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 |