CN115758776A - Multi-point geostatistical modeling method and device - Google Patents
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Abstract
The invention discloses a multipoint geostatistics modeling method and device, and belongs to the technical field of computer technology and geological data application. Compared with the prior art that the multipoint geological statistical data acquisition process in the modeling process is realized through the geological data of the region, the modeling data is obtained through the geological data from the plurality of data acquisition points in the region, the problem that the geological structure and the geological data in the region cannot be accurately described due to the regional data is solved, and the comprehensiveness and the accuracy of modeling are further improved.
Description
Technical Field
The invention relates to the technical field of computer technology and geological data application, in particular to a multi-point geostatistical modeling method and a multi-point geostatistical modeling device.
Background
The traditional two-point statistical modeling method based on the variation function plays a great role in establishing a three-dimensional geological model of a continental facies sedimentary reservoir, and forcefully promotes the development of reservoir description towards the direction of fineness and quantification. However, the two-point variation function is difficult to characterize the complex reservoir morphology (such as a curved river), and a plurality of spatial point associations are required to be relied on to describe the reservoir morphology and the spatial configuration relationship in a fine manner. The multi-point geostatistics is built and developed, and the multi-point probability is obtained by scanning a training image (conceptualized quantitative geologic model) through a multi-point template (data template), and modeling is realized through prediction.
The inventor finds that in the modeling process, the multi-point probability is obtained by acquiring regional data through calculation, but in practical application, the geological structure and geological data in a region are complex, the multi-point probability is obtained by calculating only the regional data, and the comprehensiveness and the accuracy are low.
Disclosure of Invention
In order to solve the problems in the prior art, the embodiment of the invention provides a multi-point geostatistical modeling method and a multi-point geostatistical modeling device. The technical scheme is as follows:
in one aspect, a multi-point geostatistical modeling method is provided, the method comprising:
obtaining regional parameters of a region to be modeled;
determining a plurality of data acquisition points in the area to be modeled according to the region parameters;
acquiring geological data of the plurality of data acquisition points;
setting a correlation between a plurality of geological data;
and generating modeling data of the region to be modeled according to the correlation among the plurality of geological data.
Optionally, the obtaining the regional parameter of the region to be modeled includes:
acquiring a statistical demand initiated by a user, wherein the statistical demand is used for indicating geological data to be acquired;
according to the statistical requirement, screening and positioning the region to be modeled from a region range;
and acquiring the area to be modeled, wherein the region parameters are used for describing the area to be modeled.
Optionally, the determining, according to the regional parameter, a plurality of data acquisition points in the region to be modeled includes:
acquiring basic geological information of the region to be modeled according to the regional parameters;
determining available positions of the plurality of data acquisition points according to the basic geological information;
and determining the plurality of data acquisition points according to the available positions of the plurality of data acquisition points.
Optionally, the determining, according to the regional parameter, a plurality of data acquisition points in the region to be modeled includes:
acquiring description information of all data acquisition points in the area to be modeled;
and screening the plurality of data acquisition points from all the data acquisition points in the area to be modeled according to the region parameters and the description information.
Optionally, the acquiring geological data of the plurality of data acquisition points includes:
acquiring correlation parameters among the plurality of data acquisition points and characteristic parameters of each data acquisition point, wherein the characteristic parameters are used for describing the physical address and the network address of the data acquisition points;
according to the correlation parameters and the characteristic parameters, data acquisition requests are sent to the plurality of data acquisition points;
and the plurality of data acquisition points respond to the data acquisition request and upload the acquired geological data.
Optionally, the setting the correlation between the plurality of geological data includes:
setting the correlation among a plurality of geological data according to the correlation parameters among the plurality of data acquisition points,
Optionally, the setting the correlation between the plurality of geological data further includes:
obtaining influence factors among the plurality of geological data, wherein the influence factors are used for indicating influences on other address data after the geological data are changed;
and setting the correlation among a plurality of geological data according to the correlation parameters and the influence factors.
In another aspect, there is provided a multi-point geostatistical modeling apparatus, the apparatus comprising:
the acquisition module is used for acquiring the regional parameters of the region to be modeled;
the analysis module is used for determining a plurality of data acquisition points in the area to be modeled according to the region parameters;
the acquisition module is further used for acquiring geological data of the plurality of data acquisition points;
a setting module for setting a correlation between a plurality of geological data;
and the processing module is used for generating modeling data of the region to be modeled according to the correlation among the plurality of geological data.
Optionally, the obtaining module is specifically configured to:
acquiring a statistical demand initiated by a user, wherein the statistical demand is used for indicating geological data to be acquired;
screening and positioning the region to be modeled from a region range according to the statistical requirement;
and acquiring the area to be modeled, wherein the region parameters are used for describing the area to be modeled.
Optionally, the analysis module is specifically configured to:
acquiring basic geological information of the region to be modeled according to the regional parameters;
determining available positions of the plurality of data acquisition points according to the basic geological information;
and determining the plurality of data acquisition points according to the available positions of the plurality of data acquisition points.
Optionally, the analysis module is specifically configured to:
acquiring description information of all data acquisition points in the area to be modeled;
and screening the plurality of data acquisition points from all the data acquisition points in the area to be modeled according to the region parameters and the description information.
Optionally, the obtaining module is further specifically configured to:
acquiring correlation parameters among the plurality of data acquisition points and characteristic parameters of each data acquisition point, wherein the characteristic parameters are used for describing the physical address and the network address of the data acquisition points;
according to the correlation parameters and the characteristic parameters, data acquisition requests are sent to the plurality of data acquisition points;
and the plurality of data acquisition points respond to the data acquisition request and upload the acquired geological data.
Optionally, the setting module is specifically configured to:
setting the correlation among a plurality of geological data according to the correlation parameter among the plurality of data acquisition points,
Optionally, the setting module is specifically configured to:
obtaining an influence factor among the plurality of geological data, wherein the influence factor is used for indicating the influence on other address data after the geological data are changed;
and setting the correlation among a plurality of geological data according to the correlation parameters and the influence factors.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
compared with the prior art that the multipoint geological statistical data acquisition process in the modeling process is realized through the geological data of the region, the modeling data is obtained through the geological data from the plurality of data acquisition points in the region, the problem that the geological structure and the geological data in the region cannot be accurately described due to the regional data is solved, and the comprehensiveness and the accuracy of modeling are further improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a multi-point geostatistical modeling method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a multi-point geostatistical modeling apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, there is provided a multi-point geostatistical modeling method, the method comprising:
101. acquiring a region parameter of a region to be modeled;
102. determining a plurality of data acquisition points in an area to be modeled according to the regional parameters;
103. acquiring geological data of a plurality of data acquisition points;
104. setting a correlation between a plurality of geological data;
105. and generating modeling data of the region to be modeled according to the correlation among the plurality of geological data.
Optionally, the step 101 of obtaining the regional parameters of the region to be modeled includes:
201. acquiring a statistical demand initiated by a user, wherein the statistical demand is used for indicating geological data to be acquired;
202. according to the statistical requirements, screening and positioning the region to be modeled from the region range;
203. and acquiring a region to be modeled, wherein the region parameters are used for describing the region to be modeled.
Optionally, the step 102 of determining, according to the regional parameter, a plurality of data acquisition points in the region to be modeled includes:
301. acquiring basic geological information of a region to be modeled according to the regional parameters;
302. determining available positions of a plurality of data acquisition points according to the basic geological information;
303. and determining a plurality of data acquisition points according to the available positions of the plurality of data acquisition points.
Optionally, the step 102 of determining, according to the regional parameter, a plurality of data acquisition points in the region to be modeled includes:
401. acquiring description information of all data acquisition points in an area to be modeled;
402. and screening a plurality of data acquisition points from all data acquisition points in the area to be modeled according to the regional parameters and the description information.
Optionally, the step 103 of acquiring geological data of a plurality of data acquisition points includes:
501. acquiring correlation parameters among a plurality of data acquisition points and characteristic parameters of each data acquisition point, wherein the characteristic parameters are used for describing the physical address and the network address of the data acquisition points;
502. initiating data acquisition requests to a plurality of data acquisition points according to the correlation parameters and the characteristic parameters;
503. and the plurality of data acquisition points respond to the data acquisition request and upload the acquired geological data.
Optionally, the step 104 of setting the correlation between the plurality of geological data includes:
setting the correlation between a plurality of geological data according to the correlation parameter between a plurality of data acquisition points, optionally, the setting 104 of the correlation between a plurality of geological data further comprises:
601. acquiring influence factors among a plurality of geological data, wherein the influence factors are used for indicating the influence on other address data after the geological data are changed;
602. and setting the correlation among the plurality of geological data according to the correlation parameters and the influence factors.
Referring to fig. 2, there is provided a multi-point geostatistical modeling apparatus, the apparatus comprising:
an obtaining module 21, configured to obtain a regional parameter of a region to be modeled;
the analysis module 22 is used for determining a plurality of data acquisition points in the area to be modeled according to the regional parameters;
the obtaining module 21 is further configured to obtain geological data of a plurality of data acquisition points;
a setting module 23 for setting a correlation between a plurality of geological data;
and the processing module 24 is used for generating modeling data of the region to be modeled according to the correlation among the plurality of geological data.
Optionally, the obtaining module 21 is specifically configured to:
acquiring a statistical demand initiated by a user, wherein the statistical demand is used for indicating geological data to be acquired;
according to the statistical requirements, screening and positioning the region to be modeled from the region range;
and acquiring a region to be modeled, wherein the region parameters are used for describing the region to be modeled.
Optionally, the analysis module 22 is specifically configured to:
acquiring basic geological information of a region to be modeled according to the regional parameters;
determining available positions of a plurality of data acquisition points according to the basic geological information;
and determining a plurality of data acquisition points according to the available positions of the plurality of data acquisition points.
Optionally, the analysis module 22 is specifically configured to:
acquiring description information of all data acquisition points in an area to be modeled;
and screening a plurality of data acquisition points from all data acquisition points in the area to be modeled according to the regional parameters and the description information.
Optionally, the obtaining module 21 is further specifically configured to:
acquiring correlation parameters among a plurality of data acquisition points and characteristic parameters of each data acquisition point, wherein the characteristic parameters are used for describing the physical address and the network address of the data acquisition points;
initiating data acquisition requests to a plurality of data acquisition points according to the correlation parameters and the characteristic parameters;
and the plurality of data acquisition points respond to the data acquisition request and upload the acquired geological data.
Optionally, the setting module 23 is specifically configured to:
according to the correlation parameters between the multiple data acquisition points, the correlation between the multiple geological data is set, optionally, the setting module 23 is specifically configured to:
acquiring influence factors among a plurality of geological data, wherein the influence factors are used for indicating the influence on other address data after the geological data are changed;
and setting the correlation among the plurality of geological data according to the correlation parameter and the influence factor.
All the above-mentioned optional technical solutions can be combined arbitrarily to form the optional embodiments of the present invention, and are not described herein again.
It should be noted that: in the multi-point geostatistical modeling apparatus provided in the above embodiment, when the multi-point geostatistical modeling method is executed, only the division of the functional modules is taken as an example, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the apparatus is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the embodiments of the multipoint geostatistical modeling method and the multipoint geostatistical modeling device provided by the embodiments belong to the same concept, and specific implementation processes thereof are described in the embodiments of the method for details, which are not described herein again.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, which is intended to cover any modifications, equivalents, improvements, etc. within the spirit and scope of the present invention.
Claims (10)
1. A multi-point geostatistical modeling method, the method comprising:
obtaining regional parameters of a region to be modeled;
determining a plurality of data acquisition points in the area to be modeled according to the regional parameters;
acquiring geological data of the plurality of data acquisition points;
setting a correlation between a plurality of geological data;
and generating modeling data of the region to be modeled according to the correlation among the plurality of geological data.
2. The method according to claim 1, wherein the obtaining regional parameters of the area to be modeled comprises:
acquiring a statistical demand initiated by a user, wherein the statistical demand is used for indicating geological data to be acquired;
according to the statistical requirement, screening and positioning the region to be modeled from a region range;
and acquiring the area to be modeled, wherein the region parameters are used for describing the area to be modeled.
3. The method of claim 2, wherein the determining, according to the regional parameters, a plurality of data acquisition points in the region to be modeled comprises:
acquiring basic geological information of the region to be modeled according to the regional parameters;
determining available positions of the plurality of data acquisition points according to the basic geological information;
and determining the plurality of data acquisition points according to the available positions of the plurality of data acquisition points.
4. The method of claim 3, wherein the determining, according to the regional parameters, a plurality of data acquisition points in the region to be modeled comprises:
acquiring description information of all data acquisition points in the area to be modeled;
and screening the plurality of data acquisition points from all data acquisition points in the area to be modeled according to the region parameters and the description information.
5. The method of claim 4, wherein said obtaining geological data for said plurality of data collection points comprises:
obtaining correlation parameters among the plurality of data acquisition points and characteristic parameters of each data acquisition point, wherein the characteristic parameters are used for describing physical addresses and network addresses of the data acquisition points;
according to the correlation parameters and the characteristic parameters, data acquisition requests are sent to the plurality of data acquisition points;
and the plurality of data acquisition points respond to the data acquisition request and upload the acquired geological data.
6. The method of claim 5, wherein the setting a correlation between the plurality of geological data comprises:
and setting the correlation among a plurality of geological data according to the correlation parameters among the plurality of data acquisition points.
7. The method of claim 6, wherein said setting a correlation between a plurality of geological data further comprises:
obtaining influence factors among the plurality of geological data, wherein the influence factors are used for indicating influences on other address data after the geological data are changed;
and setting the correlation among a plurality of geological data according to the correlation parameter and the influence factor.
8. A multi-point geostatistical modeling apparatus, the apparatus comprising:
the acquisition module is used for acquiring the regional parameters of the region to be modeled;
the analysis module is used for determining a plurality of data acquisition points in the area to be modeled according to the regional parameters;
the acquisition module is further used for acquiring geological data of the plurality of data acquisition points;
a setting module for setting a correlation between a plurality of geological data;
and the processing module is used for generating modeling data of the region to be modeled according to the correlation among the plurality of geological data.
9. The apparatus of claim 8, wherein the obtaining module is specifically configured to:
acquiring a statistical demand initiated by a user, wherein the statistical demand is used for indicating geological data to be acquired;
screening and positioning the region to be modeled from a region range according to the statistical requirement;
and acquiring the area to be modeled, wherein the region parameters are used for describing the area to be modeled.
10. The apparatus of claim 9, wherein the analysis module is specifically configured to:
acquiring basic geological information of the region to be modeled according to the regional parameters;
determining available positions of the plurality of data acquisition points according to the basic geological information;
and determining the plurality of data acquisition points according to the available positions of the plurality of data acquisition points.
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106780730A (en) * | 2016-11-23 | 2017-05-31 | 朱兰英 | The construction method and device of three-dimensional geological model |
CN107807396A (en) * | 2017-09-15 | 2018-03-16 | 中国石油天然气股份有限公司 | The determination method and apparatus of stratum matrix resistivity |
CN111459955A (en) * | 2020-03-13 | 2020-07-28 | 济南轨道交通集团有限公司 | Three-dimensional geological structure model automatic updating method and system based on GIS platform |
CN112906243A (en) * | 2021-03-18 | 2021-06-04 | 长江大学 | Multipoint geostatistical modeling parameter optimization method based on variation function |
CN112906244A (en) * | 2021-03-18 | 2021-06-04 | 长江大学 | Multipoint geostatistical modeling parameter optimization method based on connectivity function |
CN114595192A (en) * | 2022-03-10 | 2022-06-07 | 青海省地质调查院 | Intelligent data real-time gathering method and system suitable for regional geological survey |
CN115205476A (en) * | 2022-06-27 | 2022-10-18 | 中铁第四勘察设计院集团有限公司 | Three-dimensional geological modeling method, device, electronic equipment and storage medium |
-
2022
- 2022-11-28 CN CN202211501818.2A patent/CN115758776B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106780730A (en) * | 2016-11-23 | 2017-05-31 | 朱兰英 | The construction method and device of three-dimensional geological model |
CN107807396A (en) * | 2017-09-15 | 2018-03-16 | 中国石油天然气股份有限公司 | The determination method and apparatus of stratum matrix resistivity |
CN111459955A (en) * | 2020-03-13 | 2020-07-28 | 济南轨道交通集团有限公司 | Three-dimensional geological structure model automatic updating method and system based on GIS platform |
CN112906243A (en) * | 2021-03-18 | 2021-06-04 | 长江大学 | Multipoint geostatistical modeling parameter optimization method based on variation function |
CN112906244A (en) * | 2021-03-18 | 2021-06-04 | 长江大学 | Multipoint geostatistical modeling parameter optimization method based on connectivity function |
CN114595192A (en) * | 2022-03-10 | 2022-06-07 | 青海省地质调查院 | Intelligent data real-time gathering method and system suitable for regional geological survey |
CN115205476A (en) * | 2022-06-27 | 2022-10-18 | 中铁第四勘察设计院集团有限公司 | Three-dimensional geological modeling method, device, electronic equipment and storage medium |
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