CN108829717A - A kind of Database Systems and method carrying out the quantitative analysis of deep water water channel configuration and morphological Simulation based on seismic data - Google Patents
A kind of Database Systems and method carrying out the quantitative analysis of deep water water channel configuration and morphological Simulation based on seismic data Download PDFInfo
- Publication number
- CN108829717A CN108829717A CN201810425395.8A CN201810425395A CN108829717A CN 108829717 A CN108829717 A CN 108829717A CN 201810425395 A CN201810425395 A CN 201810425395A CN 108829717 A CN108829717 A CN 108829717A
- Authority
- CN
- China
- Prior art keywords
- data
- water channel
- database
- module
- model
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a kind of Database Systems that the quantitative analysis of deep water water channel configuration and morphological Simulation are carried out based on seismic data, including：The geologic setting information data in data inputting module, typing earthquake three-dimensional coordinate and work area；Data are divided into numerous types of data relevant to deep water water channel configuration by data preparation module；Various data types are respectively stored in the database with hierarchical structure by data memory module；Screening module filters out the deep water water channel developed in similar deposition environment；Data outputting module exports the characterization parameter filtered out or geometric description information；Graph generation module generates chart or appearance model based on the Various types of data being stored in database；Contrast module utilizes the form similarity of fuzzy model identification computation model.The present invention establishes the database in relation to deep water water channel configurational unit using programming, to include, arrange the quantitative and qualitative data of various configuration unit, and carries out quantitative analysis and morphological Simulation to water channel configuration.
Description
Technical field
The invention belongs to engineering geology technical fields, and in particular to one carries out deep water water channel configuration amount based on seismic data
Change the database of analysis and morphological Simulation.
Background technique
There are many kinds of the classification of deep water water channel configurational unit, and classification schemes employed in the present invention are according to configurational unit
Seismic response features, geometric shape, spatial arrangement and combining form come what is formulated, be specifically divided into target water channel, outer natural levee,
Deep paddy water channel, deposition terrace body, slump fault block, slides fault block, channel fill substance and discards and cut curved take interior natural levee
Directly, wherein interior natural levee, deposition terrace body, slump fault block, sliding fault block, channel fill substance belong to water channel endo conformation list
Member.The shape and reservoir property of different configurational units differ greatly, the shadow of development and petroleum distribution to channel system
It rings also different.
In engineering geology field, still compare shortage at present about the quantization for deep water water channel configuration streamwise point
The morphological Simulation of analysis and water channel configuration is resulted in the formation of deep water water channel, evolution, internal deposition structure and potential reservoir point
The cognition of cloth etc. lacks, and hinders the exploration of deep water water channel deposition process and the oil and gas development of deep water.Meanwhile on a large scale
The shortage of quantitative data hinders in the field for the progress such as deep water water channel model foundation and Reservoir Scale simulation.
Summary of the invention
The purpose of the present invention is lack for present in engineering geology field to deep water water channel configuration streamwise
The status of the morphological Simulation of quantitative analysis and water channel configuration, and the shortage of extensive quantitative data are hindered for deep water water
The problem of the research progress of road model foundation and Reservoir Scale simulation.
To solve the above problems, the present invention provides one kind based on seismic data carry out the quantitative analysis of deep water water channel configuration and
The quantitative and qualitative data of various configuration unit is included, arranged to the Database Systems and method of morphological Simulation, the database, and
Quantitative analysis and morphological Simulation are carried out to water channel configuration.
The above-mentioned Database Systems that the quantitative analysis of deep water water channel configuration and morphological Simulation are carried out based on seismic data, it is described
Database Systems are formed by PYTHON language compilation, are specifically included：Data inputting module is used for typing earthquake three-dimensional coordinate and work
The geologic setting information data in area；Data preparation module is relevant to deep water water channel configuration more for being divided into the data of typing
Kind data type, which includes characterization parameter, governing factor, geometric description, regional information；Data store mould
Block is based on MYSQL PostgreSQL database, various data types is respectively stored in the database with hierarchical structure；Screening
Module, the governing factor based on water channel filter out the deep water water channel developed in similar deposition environment；Data outputting module, root
According to the screening requirements of user, the characterization parameter filtered out or geometric description information are exported；Graph generation module, based on being stored in
Various types of data in database generates chart or appearance model；Contrast module, based on all kinds of parameters that appearance model is recorded, benefit
With the form similarity of fuzzy model identification computation model.
Preferably, the data of typing are divided into qualitative data and quantitative number according to classification schemes by the data preparation module
Be further divided into governing factor and regional information according to, qualitative data, governing factor be subdivided into internal control factor, external control because
Element and fluid parameter；Regional information includes geographical location, longitude and latitude and depth of water range；Quantitative data is divided into characterization parameter, several
What description and model parameter.The classification schemes be according to the seismic response features, geometric shape, spatial arrangement of configurational unit with
And combining form, come what is formulated, deep water water channel configurational unit is divided into target water channel, outer natural levee, deep paddy water channel, interior natural levee, sinks
Product property terrace body, slump fault block slide fault block, channel fill substance and discard and cut-off；Wherein, interior natural levee, deposition
Property terrace body, slump fault block, sliding fault block, channel fill substance belong to water channel endo conformation unit.
Preferably, in the data memory module, database structure is divided into three ranks, wherein the first order, for depositing
Store up the relevant data of all and channel system of some case；The second level, each case are divided into several data subsets, every number
The water channel of the one or more different stages recorded in initial data body is corresponded to according to subset；The third level, each data subset are divided into
Several configuration data collection, all kinds of quantization parameters of configuration data collection storage configuration unit.
Preferably, the data subset further includes multiple model data collection and migrating data collection, model data collection record
The statistical parameter of water channel model, migrating data collection record the information of water channel migration.
Preferably, Filtering system is in the screening module：After completing data preparation and storage, database root is according to data
The influence factor of control water channel development in subset, filters out possess identical governing factor or only with the data volume in the database
Other data subsets for having a factor different；The data subset filtered out and former data subset are transferred to data output together
Module.
Preferably, the data outputting module, data are exported in the form of Excel.
Preferably, the graph generation module includes：Based on the Various types of data being stored in database, generates data and become
Spirogram；And based on the earthquake three-dimensional coordinate in deposit database, generate different types of appearance model.
A method of the quantitative analysis of deep water water channel configuration and morphological Simulation are carried out based on seismic data, including walked as follows
Suddenly：
Step S1, be based on PYTHON language, compiling have data inputting module, data preparation module, data memory module,
The Database Systems of screening module, data outputting module, graph generation module and contrast module；
Step S2, data inputting：It is carried on the back by the geology in the original earthquake three-dimensional coordinate of data inputting module typing and work area
Scape information data；
Step S3, data preparation：The data of typing are divided into qualitative data and quantitative data, qualitative data be divided into control because
Element and regional information, governing factor are further divided into internal control factor, external governing factor and fluid parameter；Regional information
It is divided into geographical location information, latitude and longitude information and depth of water range information；Quantitative data is divided into characterization parameter, geometric description and model
Parameter；
Step S4, data store：Based on MYSQL PostgreSQL database, sorted various data types are respectively stored in
In database with tertiary structure；The relevant data of all and channel system of some case are stored in first level structure；Often
A case is divided into several data subsets, i.e. the second level structure, one or more recorded in data subset storage initial data body
The water channel related data of a different stage；Each data subset is divided into several configuration data collection, i.e. third level structure, configuration number
According to all kinds of quantization parameters of collection storage configuration unit；Wherein, data subset further includes multiple model data collection and migrating data collection,
Model data collection records the statistical parameter of water channel model, and migrating data collection records the information of water channel migration；
Step S5, data screening：After completing data preparation and storage, according to the shadow of the control water channel development in data subset
The factor of sound, filters out possess identical governing factor or other different data of an only factor with the data volume in the database
Subset；The data subset filtered out and former data subset are transferred to data outputting module together；
Step S6, data export：According to the screening requirements of user, a variety of characterization parameters or several are exported in the form of Excel
What description information；
Step S7, graphic hotsopt：Based on the Various types of data being stored in database, data variable figure is generated；And it is based on
The earthquake three-dimensional coordinate being stored in database, generates different types of appearance model；
Step S8, the model data according to corresponding to the data subset that brush is selected generates contrast model, is original data
The model of concentration provides object of reference；Theory is identified according to the fuzzy model in model parameter and fuzzy mathematics, and model is calculated
Form similarity, to provide reference information for influence of the research governing factor to water channel configuration form.
Compared with prior art, the invention has the advantages that：
The Database Systems that the quantitative analysis of deep water water channel configuration and morphological Simulation are carried out based on seismic data of the invention
And method, this method can efficiently enter and arrange the quantitative and qualitative data of a large amount of deep water water channels, according to belonging to classification side
Case converts initial data to the information of diversification, such as characterization parameter, governing factor, geometric description, regional information.Database
In stagewise framework be able to freely be turned and used by polymorphic type, large-scale data.At the information of database
Reason, original earthquake three-dimensional data and the geologic setting information mixed are converted into a series of related depth of diversification, precision
The quantitative and qualitative data of water water channel configuration.Utilize collected seismic data largely relevant to water channel configuration or quantitative parameter
To the metamorphosis of water channel streamwise, water channel sedimentary and geomorphological characteristics, the spatial arrangement of water channel endo conformation unit, water channel
The prediction of Spatial Overlap feature and potential reservoir is simulated and is studied, and combines the governing factor in different work areas, comparison
The development characteristics of DIFFERENT DEPOSITIONAL ENVIRONMENTS sewer configuration and scale form out.On the basis of the large-scale data stored, number
The data variable figure and appearance model that different types are outwardly exported according to library, to help the quantization in relation to deep water water channel configuration
The work such as research and morphological Simulation.
Further advantage, target and feature of the invention will be partially reflected by the following instructions, and part will also be by this
The research and practice of invention and be understood by the person skilled in the art.
Detailed description of the invention
Fig. 1 is database flowchart.
Fig. 2 is data definition scheme and hierarchical structure figure.
Fig. 3 is Filtering system ideograph.
Fig. 4 is the dot chart case that database generates.
Fig. 5 is the fan-shaped statistical chart case that database generates.
Fig. 6 is the water channel bending die case diagram that database generates.
Specific embodiment
Present invention will be described in further detail below with reference to the accompanying drawings, to enable those skilled in the art referring to specification text
Word can be implemented accordingly.
It should be appreciated that such as " having ", "comprising" and " comprising " term used herein do not allot one or more
The presence or addition of a other elements or combinations thereof.
The present invention provides a kind of numbers that the quantitative analysis of deep water water channel configuration and morphological Simulation are carried out based on seismic data
According to library system.The Database Systems of complete set --- arrange the step operation data of --- storage --- output according to including.Number
It is formed according to library by PYTHON language compilation, possesses complete data acquisition, display, output port.The main number that database is included
According to the geologic setting information for original earthquake three-dimensional coordinate and work area.By the data classification scheme of database, data are whole
Manage into the information such as characterization parameter relevant to deep water water channel configuration, governing factor, geometric description, regional information.Then, by dividing
The data framework of grade formula, data are stored into different number tables.Finally, database processes data, various variables are generated
Figure or model, provide quantitative information for the external world.
The Database Systems specifically include：Data inputting module, data preparation module, data memory module, screening module,
Data outputting module, graph generation module and contrast module.
The geologic setting information data of the data inputting module earthquake three-dimensional coordinate and work area original for typing.
The data preparation module is used to the data of typing being divided into numerous types of data relevant to deep water water channel configuration.
Database Systems possess a set of huge data sorting system.The data of typing can be quantitative and qualitative from being divided into nature first
Data.Qualitative data is specifically divided into governing factor and regional information, and governing factor is subdivided into internal control factor, external control
Factor and fluid parameter；Regional information includes geographical location, longitude and latitude, depth of water range etc..Quantitative data is specifically divided into characterization
Parameter, geometric description, model parameter etc..Classification schemes by water channel configuration be specifically divided into mark water channel, outer natural levee, deep paddy water channel,
Interior natural levee, slump fault block, slides fault block, channel fill substance and discards and cut-off deposition terrace body.
The data memory module is based on MYSQL PostgreSQL database, and various data types, which are respectively stored in, has classification
In the database of formula structure, which can easily guide and induction data.Database structure is divided into three ranks, wherein most
The data case of high-level (the first level structure) represents this entire channel system, and all data relevant to the channel system all can
It is stored in this case.Each case is subdivided into several data subsets (the second level structure), and each data subset corresponds to original number
According to the water channel of the one or more different stages recorded in body.Each data subset is subdivided into several configuration data collection (
Tertiary structure), configuration data collection records all kinds of quantization parameters of configurational unit.In addition, data subset also corresponds to multiple pattern numbers
According to collection and migrating data collection, the former records the statistical parameter of water channel model, and the latter records the information of water channel migration.Data definition side
Case and hierarchical structure figure are shown in Fig. 2.
Governing factor of the screening module based on water channel filters out the deep water water channel developed in similar deposition environment.
After the data preparation and storage included, the influence factor that database can be developed according to the control water channel in data subset,
It is filtered out in database and possesses identical governing factor or different other data subsets of only one factor with the data volume；It will sieve
The data subset and atom collection selected are transferred to output end together, provide reference information for the chart or model of generation.The screening
Mechanism pattern figure is shown in Fig. 3.
The data outputting module is defeated by the characterization parameter filtered out or geometric description information according to the screening requirements of user
Out, the data of output can automatically generate Excel form.
The graph generation module generates chart or appearance model based on the Various types of data being stored in database.Main packet
Include following content：
(1) variogram is generated：Based on the Various types of data being stored in database, data variable figure is generated, to study depth
Between water water channel characterization parameter and the relationship between governing factor and characterization parameter.Database root is raw according to the Various types of data of storage
At variety classes, the number table of reflection different data information；Such as channel width is along the variable line chart of water channel circulating direction, water
The scatter diagram (see Fig. 4) of channel width corresponding to road depth, in water channel all section geometric shapes fan-shaped statistical chart (see
Fig. 5), the scatter diagram etc. of different lithology granularity sewer curvature.The chart given birth to can help researcher better
The quantization characteristic of solution and observation deep water water channel configuration.
(2) appearance model is established：Based on the earthquake three-dimensional coordinate in deposit database, different types of form mould is generated
Type.There are a large amount of original earthquake three-dimensional coordinates in database, the morphological feature of data base manipulation configurational unit divides coordinate
For different blocks, to restore the three-dimensional configuration of configurational unit.The appearance model that data can be established is related to water channel research
Many aspects, as water channel bending die (see Fig. 6), water channel migration models, water channel endo conformation built-up pattern, water channel inside are potential
Reservoir model etc..
All kinds of parameters that the contrast module is recorded based on appearance model utilize the shape of fuzzy model identification computation model
State similarity.Model data corresponding to the reference data subset that database root is obtained according to screening generates contrast model, is original
Model in subset provides object of reference.Theory is identified according to the fuzzy model in model parameter and fuzzy mathematics, and mould is calculated
The form similarity of type, so that the influence for research governing factor to water channel configuration form provides reference information.Table 1 is form mould
Type compares case, wherein A represents Bukuma Minor water channel, and B represents Tombia water channel.
The data parameters of table 1, Bukuma Minor water channel (A) and Tombia water channel (B)
Using above-mentioned Database Systems, provide it is a kind of based on seismic data carry out the quantitative analysis of deep water water channel configuration and
The method of morphological Simulation, includes the following steps：
Step S1, be based on PYTHON language, compiling have data inputting module, data preparation module, data memory module,
The Database Systems of screening module, data outputting module, graph generation module and contrast module；
Step S2, data inputting：Pass through the original earthquake three-dimensional coordinate of data inputting module typing and other work areas
Geologic setting information data；
Step S3, data preparation：The data of typing are divided into qualitative data and quantitative data, qualitative data be divided into control because
Element and regional information, governing factor are further divided into internal control factor, external governing factor and fluid parameter；Regional information
It is divided into geographical location information, latitude and longitude information and depth of water range information；Quantitative data is divided into characterization parameter, geometric description and model
Parameter；
Step S4, data store：Based on MYSQL PostgreSQL database, sorted various data types are respectively stored in
In database with tertiary structure；The relevant data of all and channel system of some case are stored in first level structure；Often
A case is divided into several data subsets, i.e. the second level structure, one or more recorded in data subset storage initial data body
The water channel related data of a different stage；Each data subset is divided into several configuration data collection, i.e. third level structure, configuration number
According to all kinds of quantization parameters of collection storage configuration unit；Wherein, data subset further includes multiple model data collection and migrating data collection,
Model data collection records the statistical parameter of water channel model, and migrating data collection records the information of water channel migration；
Step S5, data screening：After completing data preparation and storage, according to the shadow of the control water channel development in data subset
The factor of sound, filters out possess identical governing factor or other different data of an only factor with the data volume in the database
Subset；The data subset filtered out and former data subset are transferred to data outputting module together；
Step S6, data export：According to the screening requirements of user, a variety of characterization parameters or several are exported in the form of Excel
What description information；
Step S7, graphic hotsopt：Based on the Various types of data being stored in database, data variable figure is generated；And it is based on
The earthquake three-dimensional coordinate being stored in database, generates different types of appearance model；
Step S8, the model data according to corresponding to the data subset that brush is selected generates contrast model, is original data
The model of concentration provides object of reference；Theory is identified according to the fuzzy model in model parameter and fuzzy mathematics, and model is calculated
Form similarity, to provide reference information for influence of the research governing factor to water channel configuration form.Above-mentioned database
The flow chart of systems approach is shown in Fig. 1.
Above-mentioned is the peculiar content of the present invention to attached drawing used in database scheme and application case.Using case
The attached drawing of example is only made that displaying to the major function of database, is not construed as the restriction to database application range, right
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings
Its relevant attached drawing.
Although the embodiments of the present invention have been disclosed as above, but its is not only in the description and the implementation listed
With.It can be applied to various suitable the field of the invention completely.It for those skilled in the art, can be easily
Realize other modification.Therefore without departing from the general concept defined in the claims and the equivalent scope, the present invention is simultaneously unlimited
In specific details and legend shown and described herein.
Claims (10)
1. a kind of Database Systems for being carried out the quantitative analysis of deep water water channel configuration and morphological Simulation based on seismic data, feature are existed
In, including：
Data inputting module, the geologic setting information data for typing earthquake three-dimensional coordinate and work area；
Data preparation module, for the data of typing to be divided into numerous types of data relevant to deep water water channel configuration, this is a variety of
Data type includes characterization parameter, governing factor, geometric description, regional information；
Data memory module is based on MYSQL PostgreSQL database, various data types is respectively stored in hierarchical structure
In database；
Screening module, the governing factor based on water channel filter out the deep water water channel developed in similar deposition environment；
Data outputting module exports the characterization parameter filtered out or geometric description information according to the screening requirements of user；
Graph generation module generates chart or appearance model based on the Various types of data being stored in database；
Contrast module, based on all kinds of parameters that appearance model is recorded, the form using fuzzy model identification computation model is similar
Degree.
2. the database of the quantitative analysis of deep water water channel configuration and morphological Simulation is carried out based on seismic data as described in claim 1
System, which is characterized in that the Database Systems are formed by PYTHON language compilation.
3. the database of the quantitative analysis of deep water water channel configuration and morphological Simulation is carried out based on seismic data as claimed in claim 2
System, which is characterized in that the data of typing are divided into qualitative data and quantitative number according to classification schemes by the data preparation module
Be further divided into governing factor and regional information according to, qualitative data, governing factor be subdivided into internal control factor, external control because
Element and fluid parameter；Regional information includes geographical location, longitude and latitude and depth of water range；Quantitative data is divided into characterization parameter, several
What description and model parameter.
4. the database of the quantitative analysis of deep water water channel configuration and morphological Simulation is carried out based on seismic data as claimed in claim 3
System, which is characterized in that the classification schemes be according to the seismic response features, geometric shape, spatial arrangement of configurational unit with
And combining form, come what is formulated, deep water water channel configurational unit is divided into target water channel, outer natural levee, deep paddy water channel, interior natural levee, sinks
Product property terrace body, slump fault block slide fault block, channel fill substance and discard and cut-off；Wherein, interior natural levee, deposition
Property terrace body, slump fault block, sliding fault block, channel fill substance belong to water channel endo conformation unit.
5. the database of the quantitative analysis of deep water water channel configuration and morphological Simulation is carried out based on seismic data as described in claim 1
System, which is characterized in that in the data memory module, database structure is divided into three ranks, wherein the first order, for depositing
Store up the relevant data of all and channel system of some case；The second level, each case are divided into several data subsets, every number
The water channel of the one or more different stages recorded in initial data body is corresponded to according to subset；The third level, each data subset are divided into
Several configuration data collection, all kinds of quantization parameters of configuration data collection storage configuration unit.
6. the database of the quantitative analysis of deep water water channel configuration and morphological Simulation is carried out based on seismic data as claimed in claim 5
System, which is characterized in that the data subset also corresponds to multiple model data collection and migrating data collection, and model data collection records water
The statistical parameter of road model, migrating data collection record the information of water channel migration.
7. the database of the quantitative analysis of deep water water channel configuration and morphological Simulation is carried out based on seismic data as claimed in claim 6
System, which is characterized in that Filtering system is in the screening module：After completing data preparation and storage, database root is according to data
The influence factor of control water channel development in subset, filters out possess identical governing factor or only with the data volume in the database
Other data subsets for having a factor different；The data subset filtered out and former data subset are transferred to data output together
Module.
8. the database of the quantitative analysis of deep water water channel configuration and morphological Simulation is carried out based on seismic data as claimed in claim 7
System, which is characterized in that the data outputting module, data are exported in the form of Excel.
9. the database of the quantitative analysis of deep water water channel configuration and morphological Simulation is carried out based on seismic data as claimed in claim 2
System, which is characterized in that the graph generation module includes：Based on the Various types of data being stored in database, generates data and become
Spirogram；And based on the earthquake three-dimensional coordinate in deposit database, generate different types of appearance model.
10. a kind of method for carrying out the quantitative analysis of deep water water channel configuration and morphological Simulation based on seismic data, which is characterized in that packet
Include following steps：
S1, it is based on PYTHON language, compiling has data inputting module, data preparation module, data memory module, screening mould
The Database Systems of block, data outputting module, graph generation module and contrast module；
S2, data inputting：Pass through the geologic setting Information Number of data inputting module typing original earthquake three-dimensional coordinate and work area
According to；
S3, data preparation：The data of typing are divided into qualitative data and quantitative data, qualitative data is divided into governing factor and area
Information, governing factor are further divided into internal control factor, external governing factor and fluid parameter；Regional information is divided into geography
Location information, latitude and longitude information and depth of water range information；Quantitative data is divided into characterization parameter, geometric description and model parameter；
S4, data storage：Based on MYSQL PostgreSQL database, sorted various data types are respectively stored in three-level
In the database of structure；The relevant data of all and channel system of some case are stored in first level structure；Each case point
For several data subsets, i.e. the second level structure, it is not at the same level that data subset stores the one or more recorded in initial data body
Other water channel related data；Each data subset is divided into several configuration data collection, i.e. third level structure, the storage of configuration data collection
All kinds of quantization parameters of configurational unit；Wherein, data subset further includes multiple model data collection and migrating data collection, model data
The statistical parameter of collection record water channel model, migrating data collection record the information of water channel migration；
S5, data screening：Complete data preparation and storage after, according in data subset control water channel development influence factor,
It filters out in the database and possesses identical governing factor or other different data subsets of an only factor with the data volume；It will
The data subset and former data subset filtered out is transferred to data outputting module together；
S6, data output：According to the screening requirements of user, a variety of characterization parameters or geometric description letter are exported in the form of Excel
Breath；
S7, graphic hotsopt：Based on the Various types of data being stored in database, data variable figure is generated；And based on deposit data
Earthquake three-dimensional coordinate in library, generates different types of appearance model；
S8, the model data according to corresponding to the data subset that brush is selected generate contrast model, the mould concentrated for original data
Type provides object of reference；Theory is identified according to the fuzzy model in model parameter and fuzzy mathematics, and the form phase of model is calculated
Like degree, so that the influence for research governing factor to water channel configuration form provides reference information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810425395.8A CN108829717B (en) | 2018-05-07 | 2018-05-07 | Database system and method for carrying out quantitative analysis and morphological simulation on deepwater channel configuration based on seismic data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810425395.8A CN108829717B (en) | 2018-05-07 | 2018-05-07 | Database system and method for carrying out quantitative analysis and morphological simulation on deepwater channel configuration based on seismic data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108829717A true CN108829717A (en) | 2018-11-16 |
| CN108829717B CN108829717B (en) | 2021-10-08 |
Family
ID=64147557
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810425395.8A Active CN108829717B (en) | 2018-05-07 | 2018-05-07 | Database system and method for carrying out quantitative analysis and morphological simulation on deepwater channel configuration based on seismic data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108829717B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109614590A (en) * | 2019-01-08 | 2019-04-12 | 西南石油大学 | A kind of research depositional environment is to the data mining algorithm of deep water water channel morphology influence |
| CN109856681A (en) * | 2019-01-08 | 2019-06-07 | 西南石油大学 | It is a kind of description water channel along source direction metamorphosis process analysis method |
| CN110516875A (en) * | 2019-08-28 | 2019-11-29 | 江西理工大学 | A kind of building of slump Accident analysis model and slump accidents early warning method, system |
| CN111429295A (en) * | 2020-03-19 | 2020-07-17 | 西南石油大学 | Deep sea water channel reservoir structure unit grading system |
| CN112230301A (en) * | 2020-09-18 | 2021-01-15 | 西南石油大学 | Method for dividing cause types of deepwater water channels |
| CN114966854A (en) * | 2022-07-28 | 2022-08-30 | 海南浙江大学研究院 | Single-layer non-static pressure earthquake tsunami early warning system and method |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102305944A (en) * | 2011-07-28 | 2012-01-04 | 李典基 | Underwater sedimentation amount detecting analysis processing system |
| CN102521514A (en) * | 2011-12-16 | 2012-06-27 | 天津大学 | Deep-water pier seismic response evaluation method taking water-pier coupling effect into consideration |
| CN103744129A (en) * | 2014-01-07 | 2014-04-23 | 山东大学 | Tunnel construction large-scale integrated geophysics advanced detection model test device |
| CN104297792A (en) * | 2014-10-14 | 2015-01-21 | 成都北方石油勘探开发技术有限公司 | Phase control inversion method for waterway reservoir stratums stacked on alluvial fan |
| CN104508422A (en) * | 2012-05-30 | 2015-04-08 | 赛创尼克株式会社 | System and method for providing information on fuel savings, safe operation, and maintenance by real-time predictive monitoring and predictive controlling of aerodynamic and hydrodynamic environmental internal/external forces, hull stresses, motion with six degrees of freedom, and the location of marine structure |
| CN105467463A (en) * | 2015-08-14 | 2016-04-06 | 中国石油大学(华东) | Maximum extension distance quantified prediction method of near-shore underwater fan flood sedimentation unit body |
| CN106054248A (en) * | 2016-07-15 | 2016-10-26 | 河海大学 | Earthquake rock physical inversion method based on large area tight reservoir |
| CN106204366A (en) * | 2016-07-22 | 2016-12-07 | 三峡大学 | A kind of big data management system of law based on fuzzy reasoning |
| CN106951686A (en) * | 2017-02-28 | 2017-07-14 | 中国石油大学(北京) | Shale gas selection and appraisal of exploration area method and device |
| CN107871006A (en) * | 2017-11-15 | 2018-04-03 | 北京工业大学 | Earthquake information Comprehensive Query System based on QGIS |
| CN111429295A (en) * | 2020-03-19 | 2020-07-17 | 西南石油大学 | Deep sea water channel reservoir structure unit grading system |
-
2018
- 2018-05-07 CN CN201810425395.8A patent/CN108829717B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102305944A (en) * | 2011-07-28 | 2012-01-04 | 李典基 | Underwater sedimentation amount detecting analysis processing system |
| CN102521514A (en) * | 2011-12-16 | 2012-06-27 | 天津大学 | Deep-water pier seismic response evaluation method taking water-pier coupling effect into consideration |
| CN104508422A (en) * | 2012-05-30 | 2015-04-08 | 赛创尼克株式会社 | System and method for providing information on fuel savings, safe operation, and maintenance by real-time predictive monitoring and predictive controlling of aerodynamic and hydrodynamic environmental internal/external forces, hull stresses, motion with six degrees of freedom, and the location of marine structure |
| CN103744129A (en) * | 2014-01-07 | 2014-04-23 | 山东大学 | Tunnel construction large-scale integrated geophysics advanced detection model test device |
| CN104297792A (en) * | 2014-10-14 | 2015-01-21 | 成都北方石油勘探开发技术有限公司 | Phase control inversion method for waterway reservoir stratums stacked on alluvial fan |
| CN105467463A (en) * | 2015-08-14 | 2016-04-06 | 中国石油大学(华东) | Maximum extension distance quantified prediction method of near-shore underwater fan flood sedimentation unit body |
| CN106054248A (en) * | 2016-07-15 | 2016-10-26 | 河海大学 | Earthquake rock physical inversion method based on large area tight reservoir |
| CN106204366A (en) * | 2016-07-22 | 2016-12-07 | 三峡大学 | A kind of big data management system of law based on fuzzy reasoning |
| CN106951686A (en) * | 2017-02-28 | 2017-07-14 | 中国石油大学(北京) | Shale gas selection and appraisal of exploration area method and device |
| CN107871006A (en) * | 2017-11-15 | 2018-04-03 | 北京工业大学 | Earthquake information Comprehensive Query System based on QGIS |
| CN111429295A (en) * | 2020-03-19 | 2020-07-17 | 西南石油大学 | Deep sea water channel reservoir structure unit grading system |
Non-Patent Citations (1)
| Title |
|---|
| 张文彪等: "深水水道形态定量分析及沉积模拟——以西非Gengibre油田为例", 《石油学报》 * |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109614590A (en) * | 2019-01-08 | 2019-04-12 | 西南石油大学 | A kind of research depositional environment is to the data mining algorithm of deep water water channel morphology influence |
| CN109856681A (en) * | 2019-01-08 | 2019-06-07 | 西南石油大学 | It is a kind of description water channel along source direction metamorphosis process analysis method |
| CN109856681B (en) * | 2019-01-08 | 2020-10-16 | 西南石油大学 | Process analysis method for describing morphological change of water channel along direction of material source |
| CN109614590B (en) * | 2019-01-08 | 2022-03-25 | 西南石油大学 | Data mining method for researching influence of deposition environment on form of deepwater channel |
| CN110516875A (en) * | 2019-08-28 | 2019-11-29 | 江西理工大学 | A kind of building of slump Accident analysis model and slump accidents early warning method, system |
| CN110516875B (en) * | 2019-08-28 | 2020-11-27 | 江西理工大学 | Slump accident analysis model construction and slump accident early warning method and system |
| CN111429295A (en) * | 2020-03-19 | 2020-07-17 | 西南石油大学 | Deep sea water channel reservoir structure unit grading system |
| CN111429295B (en) * | 2020-03-19 | 2022-12-20 | 西南石油大学 | Deep sea water course reservoir structure unit level division system |
| CN112230301A (en) * | 2020-09-18 | 2021-01-15 | 西南石油大学 | Method for dividing cause types of deepwater water channels |
| CN114966854A (en) * | 2022-07-28 | 2022-08-30 | 海南浙江大学研究院 | Single-layer non-static pressure earthquake tsunami early warning system and method |
| CN114966854B (en) * | 2022-07-28 | 2022-11-18 | 海南浙江大学研究院 | Single-layer non-static pressure earthquake tsunami early warning system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108829717B (en) | 2021-10-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108829717A (en) | A kind of Database Systems and method carrying out the quantitative analysis of deep water water channel configuration and morphological Simulation based on seismic data | |
| Chorley et al. | Trend-surface mapping in geographical research | |
| Raper | Three dimensional applications in GIS | |
| Martz et al. | Numerical definition of drainage network and subcatchment areas from digital elevation models | |
| CN107944086B (en) | Rapid modeling method based on drilling data | |
| CN107407742B (en) | The paleogeographic evolution in earth's crust region | |
| CN104380144B (en) | Three-dimensional multimode formula core and Geologic modeling for optimal oil field development | |
| CN106355011A (en) | Geochemical data element sequence structure analysis method and device | |
| Colombera et al. | The Shallow-Marine Architecture Knowledge Store: a database for the characterization of shallow-marine and paralic depositional systems | |
| CN109061728B (en) | A kind of ach-bar sandbody detailed predicting method | |
| CN111257962A (en) | Method for positioning and predicting ore body by using three-dimensional geological modeling technology | |
| Sala et al. | The Alpstein in three dimensions: fold-and-thrust belt visualization in the Helvetic zone, eastern Switzerland | |
| Fournillon et al. | Characterization of karstic networks by automatic extraction of geometrical and topological parameters: comparison between observations and stochastic simulations | |
| US20230088307A1 (en) | Hierarchical Building and Conditioning of Geological Models with Machine Learning Parameterized Templates and Methods for Using the Same | |
| CN104537254A (en) | Fine drawing method based on social statistical data | |
| CN106887040A (en) | Multiple-Point Geostatistics modeling method and device | |
| CN103473428B (en) | Method and a device for analyzing a space of a mine | |
| Decoursey et al. | General aspects of multivariate analysis with applications to some problems in hydrology | |
| CN107169590B (en) | Urban morphological analysis and control method based on three elements of plane pattern and fractal calculation | |
| EP3320450B1 (en) | Improved geobody continuity in geological models based on multiple point statistics | |
| CN107730586A (en) | A kind of method and system of stratum modeling | |
| CN109584369A (en) | Actual formation all-hexahedral element mesh generation method and device | |
| Hack et al. | Three-dimensional GIS: recent developments | |
| Bata et al. | Landscape units for Hungary using multiresolution segmentation of geo-data and fuzzy analysis | |
| Rafi et al. | Preliminary prioritization on steam flood injection in oil field using random forest regression method |
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 |