CN102914794B - Method for processing near-surface structure data of southern marine stratum - Google Patents
Method for processing near-surface structure data of southern marine stratum Download PDFInfo
- Publication number
- CN102914794B CN102914794B CN201210425214.4A CN201210425214A CN102914794B CN 102914794 B CN102914794 B CN 102914794B CN 201210425214 A CN201210425214 A CN 201210425214A CN 102914794 B CN102914794 B CN 102914794B
- Authority
- CN
- China
- Prior art keywords
- surface structure
- near surface
- data
- structure data
- investigation
- 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
- 238000000547 structure data Methods 0.000 title claims abstract description 87
- 238000012545 processing Methods 0.000 title claims abstract description 8
- 238000000034 method Methods 0.000 title abstract description 14
- 238000011835 investigation Methods 0.000 claims description 44
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 18
- 238000003672 processing method Methods 0.000 claims description 17
- 239000011435 rock Substances 0.000 claims description 10
- 230000000452 restraining effect Effects 0.000 abstract 1
- 235000019738 Limestone Nutrition 0.000 description 6
- 239000006028 limestone Substances 0.000 description 6
- 208000035126 Facies Diseases 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 3
- 241000209094 Oryza Species 0.000 description 2
- 235000007164 Oryza sativa Nutrition 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 235000009566 rice Nutrition 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 239000010430 carbonatite Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000000638 stimulation Effects 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
Landscapes
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention provides a method for processing near-surface structure data of a southern marine stratum. The method comprises the following steps: acquiring near-surface structure data of near-surface structure survey points in a work area; seeking the data interval of the near-surface structure data corresponding to at least one characteristic of non-survey points in the work area from a near-surface structure data sample bank and restraining the near-surface structure data of the non-survey points into the data interval; judging whether the change range of the data interval is less than a preset value or not; if the change range of the data interval is not less than a preset value, increasing the characteristics of the non-survey points to further restrain the near-surface structure data of the non-survey points till the restrained data interval is less than the preset value; and acquiring a distribution map of the near-surface structure data in the work area by using the near-surface structure data of the survey points and the near-surface structure data of the non-survey points.
Description
Technical field
The application relates to field of seismic exploration, more specifically, relates to a kind of formation of marine facies in southern China bottom near surface structure data processing method.
Background technology
Near surface structure investigation is an important step of seismic prospecting, all plays an important role in the earthquake stimulation receiving parameter design instructing seismic prospecting field to produce and indoor earthquake data static corrections processing.The data processing method of the near surface structure investigation of current employing is mainly through every square kilometre of laying 0.25 ~ 1 near surface structure points for investigation in enumeration district, gather near surface structure data, and adopt pure mathematics data interpolating method when processing, Similarity interpolation data are generated automatically to the region not gathering near surface structure data, finally produce and generate the near surface structure figure in whole enumeration district, wherein, described near surface structure data mainly comprise speed data and the thickness data of each layer of near surface, also can comprise other data simultaneously, the depth data of such as water table, Lithology data, topographic condition data etc.Said method changes little Continental Facies Stratigraphy district in the little north of earth's surface topography variation and rock property, and the precision of the near surface structure data calculated is relatively high.
But marine strata in south China has following features: the 1. old stratum of the main exposure in marine deposit stratum, mostly is carbonatite (that is, limestone) and sandstone formation crop out, near-surface velocity and variation in thickness large; 2. southern landform is mainly mountain region, and surface relief is large, and the structure change of near surface is fast.Therefore, the near surface structure data that the data processing method adopting the near surface structure of above-mentioned routine to investigate calculates truly can not reflect the structure situation of change of near surface, and error is comparatively large, thus can not the needs of seismic exploration completely contentedly.
Summary of the invention
The object of the present invention is to provide a kind of marine strata in south China near surface structure data processing method, comprising: near surface structure data are gathered to the near surface structure points for investigation in work area; The data interval of the near surface structure data corresponding at least one feature of the non-points for investigation in work area is found near surface structure data sample storehouse, and by the near surface structure data constraint of non-points for investigation in described data interval; Judge whether the variation range of described data interval is less than predetermined value, if the variation range of described data interval is not less than predetermined value, then increase the feature of non-points for investigation to retrain further the near surface structure data of non-points for investigation, until the data interval after constraint is less than predetermined value; And the data interval of the near surface structure data of utility efficiency point and the near surface structure data of non-points for investigation obtains the near surface structure data profile in work area.
Near surface structure data can comprise at least one in the speed data of each layer of near surface, thickness data and water table depth data.
The predetermined value of 100m/s can be set speed data, thickness data be arranged to the predetermined value of 1m, and the predetermined value of 0.5m is arranged to the water table degree of depth.
Near surface structure data sample storehouse can be obtained in advance by carrying out near surface structure investigation collection to various near surface structure, or using the near surface structure data of the near surface structure points for investigation in work area as near surface structure data sample storehouse.
The feature of non-points for investigation can comprise rock property, topographic condition and the water table degree of depth.
Topographic condition can comprise earth's surface elevation, the gradient and the distance from cliff.
Near surface structure data profile in work area can comprise at least one in the speed data distribution plan of each layer of near surface, thickness data distribution plan and water table depth data distribution plan.
Non-points for investigation can be distributed based on the situation of change of the needs of data processing or near surface structure.
Data interval can be the set of at least one value data.
By getting intermediate value to obtain value data to two endpoint values of the data interval after the constraint being less than predetermined value, and the near surface structure data of utility efficiency point and described value data obtain the near surface structure data profile in work area.
Part in ensuing description is set forth the present invention other in and/or advantage, some will be clearly by describing, or can learn through enforcement of the present invention.
Accompanying drawing explanation
By the detailed description of carrying out below in conjunction with accompanying drawing, above and other objects of the present invention and feature will become apparent, wherein:
Fig. 1 is the process flow diagram that marine strata in south China near surface structure data processing method is according to an exemplary embodiment of the present invention shown.
Embodiment
Now, describe exemplary embodiment of the present invention in detail, its example represents in the accompanying drawings, and wherein, identical label represents identical parts all the time.
Fig. 1 is the process flow diagram that marine strata in south China near surface structure data processing method is according to an exemplary embodiment of the present invention shown.
With reference to Fig. 1, in step S110, near surface structure data are gathered to the near surface structure points for investigation in work area.Here, described near surface structure data can comprise at least one in the speed data of each layer of near surface, thickness data and water table depth data, but should understand and the present invention is not limited thereto, described near surface structure data also can comprise other data, such as Lithology data, topographic condition data etc.; Can in enumeration district every square kilometre lay 0.25 ~ 1 near surface structure points for investigation, but the present invention is not limited thereto, those skilled in the art can in the light of actual conditions adjust points for investigation with needs completely accordingly.In addition, by existing method such as such as little refraction, micro logging etc., near surface structure investigation is gathered, will repeat no more here.
In step S120, the data interval of the near surface structure data corresponding at least one feature of the non-points for investigation in the non-image data district in work area is found near surface structure data sample storehouse, and by the near surface structure data constraint of non-points for investigation in described data interval.Here, the feature of described non-points for investigation can include but not limited to rock property, topographic condition and the water table degree of depth, described topographic condition can include but not limited to earth's surface elevation, the gradient and the distance from cliff, and these features of non-points for investigation can be determined by methods such as geologic examinations by those skilled in the art; Described data interval can be the set of multiple value data, and those skilled in the art can distribute based on the situation of change of the needs of data processing or near surface structure described in non-points for investigation.In addition, can retrain, but this is only example according to the order of rock property, topographic condition and the water table degree of depth near surface structure data, those skilled in the art completely can adjust the order of constraint and change as required; Only exemplarily, if using the rock property of a certain non-points for investigation as feature, and described rock property is limestone, then near surface structure data sample storehouse, obtain the data interval of the near surface structure data corresponding to limestone (such as, speed data is interval, thickness data is interval and the depth data of water table interval etc.), and by the near surface structure data constraint of described non-points for investigation in the data interval obtained.
In step S130, whether the variation range of the described data interval in determining step S120 is less than predetermined value.Here, those skilled in the art can arrange described predetermined value according to actual needs, such as, the predetermined value of 100m/s (meter per second) can be set speed data, thickness data is arranged to the predetermined value of 1m (rice), and the predetermined value of 0.5m (rice) is arranged to the water table degree of depth.
If the variation range of described data interval is less than predetermined value, then in step S140, the data interval of the near surface structure data of utility efficiency point and the near surface structure data of non-points for investigation obtains the near surface structure data profile in work area.Here, the near surface structure data profile in work area can include but not limited at least one in the depth data distribution plan of the speed data distribution plan of each layer of near surface, thickness data distribution plan and water table.In addition, obtain near surface structure data profile by existing methods such as such as data Cheng Tu, will repeat no more here.
If the variation range of described data interval is not less than predetermined value, the feature of non-points for investigation is then increased in step S150, and operation returns step S120, namely, find near surface structure data sample storehouse the feature increased described in the described characteristic sum of non-points for investigation the data interval of common corresponding near surface structure data, to retrain further the near surface structure data of non-points for investigation, until the variation range of data interval after constraint is less than predetermined value.
Only exemplarily, if after being retrained by rock property of above-mentioned a certain non-points for investigation, obtain the data interval of near surface structure data corresponding to limestone and the variation range of this data interval is not less than predetermined value, then can proceed constraint to described non-points for investigation, such as, if the elevation of described non-points for investigation is 800m, then can obtain near surface structure data sample storehouse rock property be limestone and elevation be the data interval of near surface structure data corresponding to 800m (such as, speed data is interval, thickness data depth data that is interval and water table is interval), if the variation range of described data interval is still not less than predetermined value, then proceed constraint, such as, if the water table degree of depth of described non-points for investigation is 10m, then can obtain rock property near surface structure data sample storehouse is limestone, elevation is 800m and the data interval of the near surface structure data of the water table degree of depth corresponding to 10m, etc., until the variation range of data interval after constraint is less than predetermined value be less than predetermined value.
Should understand, the data interval of the near surface structure data of non-points for investigation recited above can be the set of at least one value data, and only exemplarily: if the data interval of the near surface structure data of non-points for investigation is not the set of value data, then by such as getting intermediate value to obtain value data to two endpoint values of the data interval after the constraint being less than predetermined value, and the near surface structure data of utility efficiency point and described value data obtain the near surface structure data profile in work area.
According to exemplary embodiment of the present invention, traditional pure mathematics numerical interpolation method is replaced by adopting the interpolation method of band geological condition constraints, introduce statistical principle simultaneously, thus geology correlativity is strengthened greatly, improve marine strata in south China near surface structure enquiry data processing accuracy, solve the problem that marine strata in south China near surface structure enquiry data process data are inaccurate, also indirectly improve the precision that seismic prospecting later stage field construction excites receiving parameter design accuracy and the indoor process static correction of seismic data, have workable, the feature that precision is high, in addition, the present invention is not only applicable to formation of marine facies in southern China area, can also promote in other similar area.
Although illustrate and describe the present invention with reference to certain exemplary embodiments, but it will be apparent to one skilled in the art that the various changes can made when not departing from the spirit and scope of the present invention of scope by claim and equivalents thereof in form and details.
Claims (10)
1. a marine strata in south China near surface structure data processing method, comprising:
Near surface structure data are gathered to the near surface structure points for investigation in work area;
The data interval of the near surface structure data corresponding at least one feature of the non-points for investigation in work area is found near surface structure data sample storehouse, and by the near surface structure data constraint of non-points for investigation in described data interval;
Judge whether the variation range of described data interval is less than predetermined value, if the variation range of described data interval is not less than predetermined value, then increase the feature of non-points for investigation to retrain further the near surface structure data of non-points for investigation, until the variation range of data interval after constraint is less than predetermined value; And
The data interval of the near surface structure data of utility efficiency point and the near surface structure data of non-points for investigation obtains the near surface structure data profile in work area.
2. marine strata in south China near surface structure data processing method as claimed in claim 1, wherein, near surface structure data comprise at least one in the speed data of each layer of near surface, thickness data and water table depth data.
3. marine strata in south China near surface structure data processing method as claimed in claim 2, wherein, arranges the predetermined value of 100m/s, thickness data is arranged to the predetermined value of 1m, and arrange the predetermined value of 0.5m to the water table degree of depth to speed data.
4. marine strata in south China near surface structure data processing method as claimed in claim 1, wherein, near surface structure data sample storehouse is obtained in advance by carrying out near surface structure investigation collection to various near surface structure, or using the near surface structure data of the near surface structure points for investigation in work area as near surface structure data sample storehouse.
5. marine strata in south China near surface structure data processing method as claimed in claim 1, wherein, the feature of non-points for investigation comprises rock property, topographic condition and the water table degree of depth.
6. marine strata in south China near surface structure data processing method as claimed in claim 5, wherein, topographic condition comprises earth's surface elevation, the gradient and the distance from cliff.
7. marine strata in south China near surface structure data processing method as claimed in claim 1, wherein, the near surface structure data profile in work area comprises at least one in the speed data distribution plan of each layer of near surface, thickness data distribution plan and water table depth data distribution plan.
8. marine strata in south China near surface structure data processing method as claimed in claim 1, wherein, non-points for investigation is distributed based on the needs of data processing or the situation of change of near surface structure.
9. marine strata in south China near surface structure data processing method as claimed in claim 1, wherein, data interval is the set of at least one value data.
10. marine strata in south China near surface structure data processing method as claimed in claim 1, wherein, get intermediate value by two endpoint values of the data interval after the constraint that described variation range is less than to predetermined value and obtain value data, and the near surface structure data of utility efficiency point and described value data obtain the near surface structure data profile in work area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210425214.4A CN102914794B (en) | 2012-10-30 | 2012-10-30 | Method for processing near-surface structure data of southern marine stratum |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210425214.4A CN102914794B (en) | 2012-10-30 | 2012-10-30 | Method for processing near-surface structure data of southern marine stratum |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102914794A CN102914794A (en) | 2013-02-06 |
| CN102914794B true CN102914794B (en) | 2015-07-15 |
Family
ID=47613237
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210425214.4A Active CN102914794B (en) | 2012-10-30 | 2012-10-30 | Method for processing near-surface structure data of southern marine stratum |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102914794B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106443829B (en) * | 2016-08-26 | 2018-11-16 | 郑鸿明 | A kind of near-surface model construction method and device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7206782B1 (en) * | 2003-01-29 | 2007-04-17 | Michael John Padgett | Method for deriving a GrAZ seismic attribute file |
| CN102053263A (en) * | 2009-10-30 | 2011-05-11 | 中国石油化工集团公司 | Method for inspecting surface structure |
| CN102096103A (en) * | 2010-12-03 | 2011-06-15 | 中国石油天然气集团公司 | Velocity analysis method for low signal-to-noise ratio seismic data |
| CN102176054A (en) * | 2011-02-18 | 2011-09-07 | 中国石油化工股份有限公司 | Near-surface comprehensive information processing explanation method |
| CN102590864A (en) * | 2011-12-31 | 2012-07-18 | 中国石油集团西北地质研究所 | Near-surface modeling method using tomography inversion of two-step method |
-
2012
- 2012-10-30 CN CN201210425214.4A patent/CN102914794B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7206782B1 (en) * | 2003-01-29 | 2007-04-17 | Michael John Padgett | Method for deriving a GrAZ seismic attribute file |
| CN102053263A (en) * | 2009-10-30 | 2011-05-11 | 中国石油化工集团公司 | Method for inspecting surface structure |
| CN102096103A (en) * | 2010-12-03 | 2011-06-15 | 中国石油天然气集团公司 | Velocity analysis method for low signal-to-noise ratio seismic data |
| CN102176054A (en) * | 2011-02-18 | 2011-09-07 | 中国石油化工股份有限公司 | Near-surface comprehensive information processing explanation method |
| CN102590864A (en) * | 2011-12-31 | 2012-07-18 | 中国石油集团西北地质研究所 | Near-surface modeling method using tomography inversion of two-step method |
Non-Patent Citations (2)
| Title |
|---|
| 李卫忠,刘连升等.基于近地表相分析的全局约束近地表建模方法.《地质勘探》.2011,第31卷(第1期),41-47. * |
| 王孝,贺振华,王述江等.多信息约束层析反演静校正技术及其应用.《天然气地球科学》.2010,第21卷(第2期), * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102914794A (en) | 2013-02-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102759745B (en) | Method for forecasting carbonate reservoir based on forward modeling of digital geological outcrop model | |
| CN103472483B (en) | Velocity modeling method based on true earth's surface or floating datum | |
| CN106951660A (en) | Sea facies clastic rock horizontal well reservoir logging interpretation method and device | |
| CN103077558A (en) | Method for establishing large-sized karst cave reservoir body distribution model of fractured-vuggy carbonate rock reservoir | |
| CN104459782B (en) | Seismic velocity modeling method and modeling unit using thin layer chromatography inversion | |
| CN105510993A (en) | Foreland basin deep buried and compressed type complex gypsum-salt rock identification and distribution prediction method | |
| CN102901985B (en) | A kind of Depth Domain interval velocity modification method being applicable to relief surface | |
| CN109143399B (en) | Method for identifying carbonate rock sequence interface | |
| CN108663713B (en) | Method for establishing depth domain structure model | |
| CN104375172B (en) | Volcanic underlayer structural configuration correct imaging method | |
| CN105911592B (en) | A kind of real three dimensional seismic data long wavelength's static correcting method for boring constraint | |
| CN108121009A (en) | Development late stage complex fault block velocity-variant depth mapping method | |
| CN102967881A (en) | Geological small-layer data deep-time conversion method and device for seismic data interpretation | |
| CN104049283A (en) | Method for identifying and predicting huge and thick conglomerate body in foreland basin | |
| CN105093307A (en) | Lower palaeozoic tilted stratum true thickness calculation method | |
| CN104899928A (en) | Three-directional geology modeling method based on sparse borehole points | |
| CN105607119B (en) | Near-surface model construction method and static correction value acquiring method | |
| CN105259581A (en) | Seismic data time-depth conversion method | |
| CN105116447A (en) | A geological river direction discrimination method based on curvature-abnormal stripes | |
| CN102914794B (en) | Method for processing near-surface structure data of southern marine stratum | |
| CN104769457A (en) | Device and method for determining fracture strike of strata fracture based on travel time method | |
| CN107797148B (en) | A kind of aeromagnetic anomaly field separation method and system based on three-dimensional geological modeling | |
| Ballard et al. | An integrated approach to de-risking exploration and appraisal in structurally complex fold-and-thrust belts: application to the Incahuasi field (Bolivia) | |
| CN111999768B (en) | Construction elevation determination method based on construction model in drilling layered design | |
| CN110618455B (en) | Quantitative evaluation method for sedimentary basin structure uplift |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20180202 Address after: 072751 Zhuozhou, Baoding, Fan Yang Road West, No. 189 Patentee after: BGP INC., CHINA NATIONAL PETROLEUM Corp. Address before: 610213 No. 1, No. 1, No. 1, Huayang Avenue, Huayang Town, Shuangliu County, Chengdu, Sichuan Patentee before: GEOPHYSICAL EXPLORATION COMPANY OF CNPC CHUANQING DRILLING ENGINEERING Co.,Ltd. |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20200918 Address after: 100007 Beijing, Dongzhimen, North Street, No. 9, No. Patentee after: CHINA NATIONAL PETROLEUM Corp. Patentee after: BGP Inc., China National Petroleum Corp. Address before: 072751 Zhuozhou, Baoding, Fan Yang Road West, No. 189 Patentee before: BGP Inc., China National Petroleum Corp. |