CN112488479A - Method and system for analyzing natural gas data - Google Patents
Method and system for analyzing natural gas data Download PDFInfo
- Publication number
- CN112488479A CN112488479A CN202011329051.0A CN202011329051A CN112488479A CN 112488479 A CN112488479 A CN 112488479A CN 202011329051 A CN202011329051 A CN 202011329051A CN 112488479 A CN112488479 A CN 112488479A
- Authority
- CN
- China
- Prior art keywords
- data
- analysis
- real
- concentration
- analysis result
- 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.)
- Pending
Links
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 title claims abstract description 106
- 239000003345 natural gas Substances 0.000 title claims abstract description 53
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000004458 analytical method Methods 0.000 claims abstract description 221
- 238000007405 data analysis Methods 0.000 claims abstract description 66
- 238000001514 detection method Methods 0.000 claims abstract description 63
- 238000013507 mapping Methods 0.000 claims abstract description 25
- 238000004364 calculation method Methods 0.000 claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 13
- 238000000605 extraction Methods 0.000 claims description 17
- 238000005065 mining Methods 0.000 claims description 14
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 12
- 239000007789 gas Substances 0.000 claims description 10
- 238000002485 combustion reaction Methods 0.000 claims description 9
- 238000003860 storage Methods 0.000 claims description 7
- NINIDFKCEFEMDL-UHFFFAOYSA-N Sulfur Chemical compound [S] NINIDFKCEFEMDL-UHFFFAOYSA-N 0.000 claims description 6
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 6
- 239000001569 carbon dioxide Substances 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 229910052717 sulfur Inorganic materials 0.000 claims description 6
- 239000011593 sulfur Substances 0.000 claims description 6
- 238000005336 cracking Methods 0.000 description 4
- 239000010779 crude oil Substances 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000000197 pyrolysis Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000013480 data collection Methods 0.000 description 3
- 239000003921 oil Substances 0.000 description 3
- 239000004215 Carbon black (E152) Substances 0.000 description 2
- 238000009412 basement excavation Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 229930195733 hydrocarbon Natural products 0.000 description 2
- 150000002430 hydrocarbons Chemical class 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 229920002521 macromolecule Polymers 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
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
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/0047—Organic compounds
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0062—General constructional details of gas analysers, e.g. portable test equipment concerning the measuring method or the display, e.g. intermittent measurement or digital display
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Economics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Medicinal Chemistry (AREA)
- Educational Administration (AREA)
- Primary Health Care (AREA)
- Pathology (AREA)
- Immunology (AREA)
- Development Economics (AREA)
- Biochemistry (AREA)
- Combustion & Propulsion (AREA)
- Analytical Chemistry (AREA)
- Food Science & Technology (AREA)
- Quality & Reliability (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Sampling And Sample Adjustment (AREA)
Abstract
The invention discloses a method and a system for analyzing natural gas data.A data processing end receives real-time survey data; the method comprises the steps of detecting the concentration of real-time survey data to obtain a real-time concentration value, extracting features of the real-time concentration value to obtain concentration features, extracting safety features of the real-time concentration value to obtain safety features, respectively calculating the concentration features and the safety features of usable component data of the usable component data to obtain a calculation data result when the real-time survey data comprise harmful component data and usable component data, and carrying out data analysis on the harmful component data to obtain an analysis result based on the calculation data result; and extracting a preset analysis list in a preset database, and mapping an analysis result to the analysis list to obtain data type data. Therefore, the efficiency can be effectively improved, the laboratory detection time is reduced, the time and labor cost are not saved, and the cost of subsequent work is reduced.
Description
Technical Field
The invention relates to the technical field of oil field investigation, in particular to a method and a system for analyzing natural gas data.
Background
Natural gas is one of important energy types, has the characteristics of high quality, high efficiency and cleanness, and all countries in the world pay attention to the exploration, development and utilization of the natural gas. In recent years, China finds a large and medium-sized gas field in the deep sea horizon of basin regions in the middle and western regions of Sichuan, Tarim and the like, and most of the natural gas is related to secondary cracking except for kerogen, namely cracking of hydrocarbon macromolecules (liquid hydrocarbon or oil) generated by the kerogen. Whether the natural gas comes from the secondary cracking of unexhausted crude oil in the source rock or the in situ cracking of crude oil that has been deposited in the reservoir, affects exploration deployment. At present, the identification technology of kerogen pyrolysis gas and crude oil pyrolysis gas is mature, but the identification technology of different types of crude oil pyrolysis gas needs to be perfected, and the reliability of the cause type of oil pyrolysis natural gas is not enough only by the identification method of carbon isotopes and components.
In order to avoid the trouble of bringing collected materials to a laboratory for detection after reconnaissance, a reconnaissance device is provided with a set of system to solve the problem of troublesome process, so that the time is effectively obtained, and the efficiency is improved.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and a system for analyzing natural gas data, which can solve the problem of real-time detection of natural gas during exploration.
The invention is realized by the following technical scheme:
a method of natural gas data analysis, the method comprising:
the data processing end receives the real-time survey data; the real-time survey data are generated by a data acquisition end according to the natural gas mining;
carrying out concentration detection on the real-time survey data to obtain a real-time concentration value corresponding to the real-time survey data;
performing feature extraction on the real-time concentration value to obtain a concentration feature corresponding to the real-time survey data, wherein the concentration feature is used for describing available concentration indexes of unexplored natural gas storage;
extracting safety features from the real-time concentration value to obtain safety features corresponding to the real-time exploration data, wherein the safety features are used for describing safety indexes of a mining area;
when the real-time survey data comprises harmful component data and usable component data, respectively calculating concentration characteristics and safety characteristics corresponding to the usable component data for the usable component data in the real-time survey data to obtain calculation data results corresponding to the usable component data;
comparing preset results in a preset database based on the operation data result to obtain combustion rate data corresponding to the usable component data;
carrying out data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data; and extracting a preset analysis list in a preset database, and mapping the analysis result to the analysis list to obtain data type data corresponding to the analysis result.
Further, the specific step of performing concentration detection on the real-time survey data to obtain a real-time concentration value corresponding to the real-time survey data includes:
constructing a concentration data analysis database, wherein the concentration data analysis database comprises pre-stored data characteristics extracted from a database;
carrying out feature extraction on the sample content in the real-time survey data to obtain sample data features corresponding to the sample content; obtaining a sample content state corresponding to the sample data characteristics;
matching a state identification model according to the sample data characteristics and the sample content state; identifying a model according to the sample data characteristics and a similar matching state, wherein the similar state belongs to the concentration data analysis library, and the similarity between the pre-stored data characteristics of the similar state and the sample data characteristics is greater than a threshold value, so as to obtain a corresponding characteristic analysis result;
performing parameter analysis on the feature analysis result to obtain a parameter value corresponding to the feature analysis result;
and carrying out proportional calculation on the parameter values to obtain real-time concentration values corresponding to the parameter values.
Further, the step of respectively calculating the concentration feature and the security feature corresponding to the usable component data to obtain the calculation data result corresponding to the usable component data includes:
carrying out three-dimensional modeling on the concentration characteristics of the usable component data to obtain three-dimensional data corresponding to the concentration characteristics of the usable component data;
analyzing the space size and the gas distribution in the three-dimensional data, and determining reference concentration data corresponding to the three-dimensional data;
acquiring an initial detection position of a detection point in the reference concentration data;
calculating an average value according to the initial detection position and the end point corresponding to the detection point location to obtain an average concentration value corresponding to the detection point location;
performing security level division on security features corresponding to the detection point positions of the usable component data to obtain a security level list corresponding to the security features;
and determining a corresponding operation data result according to the average concentration value and the safety level list.
Further, the step of performing data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data includes:
identifying the harmful component data to obtain identification data corresponding to the harmful component data;
comparing the identification data with carbon dioxide data in a preset database to obtain a first analysis structure corresponding to the identification data;
mapping the first analysis result to a sulfur detection standard in a preset database for detection to obtain a second analysis result corresponding to the first analysis result;
and judging the similarity of the second analysis result and a harmful element list in a preset database to obtain an analysis result corresponding to the second analysis result.
Further, the step of extracting a preset analysis list in a preset database, mapping the analysis result to the analysis list, and obtaining data type data corresponding to the analysis result includes:
determining information value data streams of a plurality of text logs to be screened for identifying a plurality of analysis results in a batch and correlation coefficients among different text logs according to matching success and matching failure corresponding to a plurality of analysis results in the obtained analysis results;
screening the plurality of text logs based on the determined data streams of the plurality of text logs and correlation coefficients among different text logs, so that the data streams of the screened text logs are larger than a first threshold value, and the correlation coefficients among the screened text logs are smaller than a second threshold value; wherein each matching failure is a multiple analysis result record in one of multiple analysis results in the batch, and each matching success is a multiple analysis result record in a non-batch;
for the multiple analysis result records in any data to be detected, judging whether the multiple analysis result records in the data to be identified are multiple analysis results in batches or not according to the value of the multiple analysis result records in the data to be detected under each text log in the screened text logs;
determining that the multiple analysis results in the data to be identified are recorded as the multiple analysis results in the batch, mapping the data to be identified into an analysis list, and determining the data type data corresponding to the analysis results.
The system for analyzing the natural gas data comprises a data acquisition end and a data analysis end, wherein the data acquisition end and the data analysis end are communicated with each other and are specifically used for the data analysis end:
the data processing end receives the real-time survey data; the real-time survey data are generated by a data acquisition end according to the natural gas mining;
carrying out concentration detection on the real-time survey data to obtain a real-time concentration value corresponding to the real-time survey data;
performing feature extraction on the real-time concentration value to obtain a concentration feature corresponding to the real-time survey data, wherein the concentration feature is used for describing available concentration indexes of unexplored natural gas storage;
extracting safety features from the real-time concentration value to obtain safety features corresponding to the real-time exploration data, wherein the safety features are used for describing safety indexes of a mining area;
when the real-time survey data comprises harmful component data and usable component data, respectively calculating concentration characteristics and safety characteristics corresponding to the usable component data for the usable component data in the real-time survey data to obtain calculation data results corresponding to the usable component data;
comparing preset results in a preset database based on the operation data result to obtain combustion rate data corresponding to the usable component data;
carrying out data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data; and extracting a preset analysis list in a preset database, and mapping the analysis result to the analysis list to obtain data type data corresponding to the analysis result.
Further, the method is specifically used for a data analysis end:
constructing a concentration data analysis database, wherein the concentration data analysis database comprises pre-stored data characteristics extracted from a database;
carrying out feature extraction on the sample content in the real-time survey data to obtain sample data features corresponding to the sample content; obtaining a sample content state corresponding to the sample data characteristics;
matching a state identification model according to the sample data characteristics and the sample content state; identifying a model according to the sample data characteristics and a similar matching state, wherein the similar state belongs to the concentration data analysis library, and the similarity between the pre-stored data characteristics of the similar state and the sample data characteristics is greater than a threshold value, so as to obtain a corresponding characteristic analysis result;
performing parameter analysis on the feature analysis result to obtain a parameter value corresponding to the feature analysis result;
and carrying out proportional calculation on the parameter values to obtain real-time concentration values corresponding to the parameter values.
Further, the method is specifically used for a data analysis end:
carrying out three-dimensional modeling on the concentration characteristics of the usable component data to obtain three-dimensional data corresponding to the concentration characteristics of the usable component data;
analyzing the space size and the gas distribution in the three-dimensional data, and determining reference concentration data corresponding to the three-dimensional data;
acquiring an initial detection position of a detection point in the reference concentration data;
calculating an average value according to the initial detection position and the end point corresponding to the detection point location to obtain an average concentration value corresponding to the detection point location;
performing security level division on security features corresponding to the detection point positions of the usable component data to obtain a security level list corresponding to the security features;
and determining a corresponding operation data result according to the average concentration value and the safety level list.
Further, the method is specifically used for a data analysis end:
identifying the harmful component data to obtain identification data corresponding to the harmful component data;
comparing the identification data with carbon dioxide data in a preset database to obtain a first analysis structure corresponding to the identification data;
mapping the first analysis result to a sulfur detection standard in a preset database for detection to obtain a second analysis result corresponding to the first analysis result;
and judging the similarity of the second analysis result and a harmful element list in a preset database to obtain an analysis result corresponding to the second analysis result.
Further, the method is specifically used for a data analysis end:
determining information value data streams of a plurality of text logs to be screened for identifying a plurality of analysis results in a batch and correlation coefficients among different text logs according to matching success and matching failure corresponding to a plurality of analysis results in the obtained analysis results;
screening the plurality of text logs based on the determined data streams of the plurality of text logs and correlation coefficients among different text logs, so that the data streams of the screened text logs are larger than a first threshold value, and the correlation coefficients among the screened text logs are smaller than a second threshold value; wherein each matching failure is a multiple analysis result record in one of multiple analysis results in the batch, and each matching success is a multiple analysis result record in a non-batch;
for the multiple analysis result records in any data to be detected, judging whether the multiple analysis result records in the data to be identified are multiple analysis results in batches or not according to the value of the multiple analysis result records in the data to be detected under each text log in the screened text logs;
determining that the multiple analysis results in the data to be identified are recorded as the multiple analysis results in the batch, mapping the data to be identified into an analysis list, and determining the data type data corresponding to the analysis results.
Compared with the prior art, the invention has the following advantages and beneficial effects:
the data processing end receives the real-time survey data; wherein the real-time exploration data is generated by a data acquisition end according to natural gas excavation, the concentration of the real-time exploration data is detected to obtain a real-time concentration value corresponding to the real-time exploration data, the concentration characteristic of the real-time exploration data is obtained by carrying out characteristic extraction on the real-time concentration value and is used for describing an available concentration index stored in unexplored natural gas, the safety characteristic of the real-time exploration data is obtained by carrying out safety characteristic extraction on the real-time concentration value and is used for describing a safety index of an exploitation area, when the real-time exploration data comprises harmful component data and available component data, the concentration characteristic and the safety characteristic of the available component data in the real-time exploration data are respectively operated to obtain an operation data result corresponding to the available component data, and the preset results in a preset database are compared based on the operation data result, obtaining combustion rate data corresponding to the usable component data, and performing data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data; and extracting a preset analysis list in a preset database, and mapping the analysis result to the analysis list to obtain data type data corresponding to the analysis result. Therefore, the efficiency can be effectively improved, the laboratory detection time is reduced, the time and labor cost are not saved, and the cost of subsequent work is reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
fig. 1 is a schematic structural diagram of a system for analyzing natural gas data according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method of natural gas data analysis provided by an embodiment of the present invention;
fig. 3 is a functional block diagram of a natural gas data analysis apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
To facilitate the explanation of the method and system for analyzing natural gas data, please refer to fig. 1, which provides a schematic diagram of a communication architecture of a system 100 for analyzing natural gas data according to an embodiment of the present invention. The system 100 for analyzing natural gas data may include a data analysis terminal 200 and a data collection terminal 300, wherein the data analysis terminal 200 is in communication connection with the data collection terminal 300.
In a specific embodiment, the data analysis terminal 200 and the data collection terminal 300 may be a desktop computer, a tablet computer, a notebook computer, a mobile phone, or other electronic devices capable of implementing data processing and data communication, which is not limited herein.
On the basis of the above, please refer to fig. 2, which is a flowchart illustrating a method for analyzing natural gas data according to an embodiment of the present invention, where the method for analyzing natural gas data may be applied to the data processing server in fig. 1, and further, the method for analyzing natural gas data may specifically include the contents described in the following steps S21 to S27.
Step S21, the data processing end receives the real-time survey data; and the real-time survey data is generated by the data acquisition end according to the natural gas mining.
And step S22, carrying out concentration detection on the real-time survey data to obtain a real-time concentration value corresponding to the real-time survey data.
And step S23, performing feature extraction on the real-time concentration value to obtain a concentration feature corresponding to the real-time survey data, wherein the concentration feature is used for describing an available concentration index of unexplored natural gas storage.
And S24, extracting safety features from the real-time concentration value to obtain safety features corresponding to the real-time exploration data, wherein the safety features are used for describing safety indexes of the mining area.
And step S25, when the real-time survey data comprises harmful component data and usable component data, respectively calculating concentration characteristics and safety characteristics corresponding to the usable component data in the real-time survey data to obtain calculation data results corresponding to the usable component data.
And step S26, comparing preset results in a preset database based on the operation data result to obtain combustion rate data corresponding to the usable component data.
Step S27, carrying out data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data; and extracting a preset analysis list in a preset database, and mapping the analysis result to the analysis list to obtain data type data corresponding to the analysis result.
It is understood that, in executing the contents described in the above steps S21-S27, the data processing end receives the real-time survey data; wherein the real-time exploration data is generated by a data acquisition end according to natural gas excavation, the concentration of the real-time exploration data is detected to obtain a real-time concentration value corresponding to the real-time exploration data, the concentration characteristic of the real-time exploration data is obtained by carrying out characteristic extraction on the real-time concentration value and is used for describing an available concentration index stored in unexplored natural gas, the safety characteristic of the real-time exploration data is obtained by carrying out safety characteristic extraction on the real-time concentration value and is used for describing a safety index of an exploitation area, when the real-time exploration data comprises harmful component data and available component data, the concentration characteristic and the safety characteristic of the available component data in the real-time exploration data are respectively operated to obtain an operation data result corresponding to the available component data, and the preset results in a preset database are compared based on the operation data result, obtaining combustion rate data corresponding to the usable component data, and performing data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data; and extracting a preset analysis list in a preset database, and mapping the analysis result to the analysis list to obtain data type data corresponding to the analysis result. Therefore, the efficiency can be effectively improved, the laboratory detection time is reduced, the time and labor cost are not saved, and the cost of subsequent work is reduced.
In a specific implementation process, when the concentration of the real-time survey data is detected, a situation that detection data is incorrect may occur, so that it is difficult to accurately obtain a real-time concentration value corresponding to the real-time survey data, and in order to improve the above technical problem, the step of detecting the concentration of the real-time survey data to obtain the real-time concentration value corresponding to the real-time survey data described in step S22 may specifically include the following contents described in step S221 to step S225.
Step S221, a concentration data analysis base is constructed, and the concentration data analysis base comprises pre-stored data characteristics extracted from the database.
Step S222, extracting the characteristics of the sample content in the real-time survey data to obtain sample data characteristics corresponding to the sample content; and acquiring a sample content state corresponding to the sample data characteristics.
Step S223, matching a state identification model according to the sample data characteristics and the sample content state; and identifying a model according to the sample data characteristics and a similar matching state, wherein the similar state belongs to the concentration data analysis library, and the similarity between the pre-stored data characteristics of the similar state and the sample data characteristics is greater than a threshold value, so as to obtain a corresponding characteristic analysis result.
Step S224, performing parameter analysis on the feature analysis result to obtain a parameter value corresponding to the feature analysis result.
And step S225, carrying out proportion calculation on the parameter values to obtain real-time concentration values corresponding to the parameter values.
It can be understood that, when the contents described in steps S221 to S225 are executed, when the concentration of the real-time survey data is detected, the occurrence of an error in the detected data is effectively avoided, so that the real-time concentration value corresponding to the real-time survey data can be accurately obtained.
In a specific implementation process, when the concentration feature and the safety feature corresponding to the usable component data are respectively calculated, an incorrect calculation may occur, so that it is difficult to obtain a result of the calculation data corresponding to the usable component data, and in order to improve the above technical problem, the step of obtaining the result of the calculation data corresponding to the usable component data by respectively calculating the concentration feature and the safety feature corresponding to the usable component data described in step S25 may specifically include the following steps S251 to S26.
And step S251, performing three-dimensional modeling on the concentration characteristics of the usable component data to obtain three-dimensional data corresponding to the concentration characteristics of the usable component data.
Step S252, analyzing the spatial size and the gas distribution in the three-dimensional data, and determining reference concentration data corresponding to the three-dimensional data.
Step S253, acquiring an initial detection position of the detection point in the reference concentration data.
Step S254, an average value is calculated with reference to the distance between the initial detection position and the end point corresponding to the detection point location, so as to obtain an average concentration value corresponding to the detection point location.
Step S255, performing security level classification on the security features corresponding to the detection points of the usable component data to obtain a security level list corresponding to the security features.
And step S256, determining a corresponding operation data result according to the average concentration value and the safety level list.
It can be understood that, when the contents described in steps S251 to S26 are executed, incorrect calculation is avoided when the concentration feature and the security feature corresponding to the usable component data are calculated respectively, so that the calculation data result corresponding to the usable component data can be obtained correctly.
In a specific implementation process, when the harmful component data is subjected to data analysis, the obtained harmful component data may be unreliable, so that it is difficult to reliably obtain an analysis result corresponding to the harmful component data, and in order to improve the above technical problem, the step of performing data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data described in step S27 may specifically include the following steps S271 to S274.
Step S271, identify the harmful component data to obtain identification data corresponding to the harmful component data.
And step S272, comparing the identification data with carbon dioxide data in a preset database to obtain a first analysis structure corresponding to the identification data.
Step S273 maps the first analysis result to a sulfur detection standard in a preset database for detection, so as to obtain a second analysis result corresponding to the first analysis result.
And step S274, performing similarity judgment on the second analysis result and a harmful element list in a preset database to obtain an analysis result corresponding to the second analysis result.
It can be understood that, when performing the contents described in the above steps S271 to S274, when performing data analysis on the harmful component data, there is no case where the obtained harmful component data is unreliable, so that the analysis result corresponding to the harmful component data can be reliably obtained.
In a specific implementation process, when the preset analysis list in the preset database is extracted and the analysis result is mapped to the analysis list, there may be a case where the mapping is not accurate, so that it is difficult to accurately obtain the data type data corresponding to the analysis result.
Step a, according to matching success and matching failure corresponding to multiple analysis results in the obtained analysis results, determining information value data streams of multiple text logs to be screened for identifying the multiple analysis results in the batch and correlation coefficients among different text logs.
B, screening the plurality of text logs based on the determined data streams of the plurality of text logs and the correlation coefficient among different text logs, so that the data streams of the screened text logs are larger than a first threshold value, and the correlation coefficient among the screened text logs is smaller than a second threshold value; wherein each matching failure is a multiple analysis result record in one of multiple analysis results in the batch, and each matching success is a multiple analysis result record in a non-batch.
And c, aiming at the multiple analysis result records in any data to be detected, judging whether the multiple analysis result records in the data to be identified are the multiple analysis results in the batch according to the value of the multiple analysis result records in the data to be detected under each text log in the screened text logs.
And d, determining that the multiple analysis results in the data to be identified are recorded as the multiple analysis results in the batch, mapping the data to be identified into an analysis list, and determining the data type data corresponding to the analysis results.
It can be understood that, when the contents described in the above steps a to d are executed, the preset analysis list in the preset database is extracted, and the analysis result is mapped to the analysis list, so that the situation that the mapping is not accurate is avoided, and the data type data corresponding to the analysis result can be accurately obtained.
Based on the same inventive concept, a system for analyzing natural gas data is also provided, which comprises a data acquisition end and a data analysis end, wherein the data acquisition end and the data analysis end are communicated with each other and are specifically used for the data analysis end:
the data processing end receives the real-time survey data; the real-time survey data are generated by a data acquisition end according to the natural gas mining;
carrying out concentration detection on the real-time survey data to obtain a real-time concentration value corresponding to the real-time survey data;
performing feature extraction on the real-time concentration value to obtain a concentration feature corresponding to the real-time survey data, wherein the concentration feature is used for describing available concentration indexes of unexplored natural gas storage;
extracting safety features from the real-time concentration value to obtain safety features corresponding to the real-time exploration data, wherein the safety features are used for describing safety indexes of a mining area;
when the real-time survey data comprises harmful component data and usable component data, respectively calculating concentration characteristics and safety characteristics corresponding to the usable component data for the usable component data in the real-time survey data to obtain calculation data results corresponding to the usable component data;
comparing preset results in a preset database based on the operation data result to obtain combustion rate data corresponding to the usable component data;
carrying out data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data; and extracting a preset analysis list in a preset database, and mapping the analysis result to the analysis list to obtain data type data corresponding to the analysis result.
Further, the method is specifically used for a data analysis end:
constructing a concentration data analysis database, wherein the concentration data analysis database comprises pre-stored data characteristics extracted from a database;
carrying out feature extraction on the sample content in the real-time survey data to obtain sample data features corresponding to the sample content; obtaining a sample content state corresponding to the sample data characteristics;
matching a state identification model according to the sample data characteristics and the sample content state; identifying a model according to the sample data characteristics and a similar matching state, wherein the similar state belongs to the concentration data analysis library, and the similarity between the pre-stored data characteristics of the similar state and the sample data characteristics is greater than a threshold value, so as to obtain a corresponding characteristic analysis result;
performing parameter analysis on the feature analysis result to obtain a parameter value corresponding to the feature analysis result;
and carrying out proportional calculation on the parameter values to obtain real-time concentration values corresponding to the parameter values.
Further, the method is specifically used for a data analysis end:
carrying out three-dimensional modeling on the concentration characteristics of the usable component data to obtain three-dimensional data corresponding to the concentration characteristics of the usable component data;
analyzing the space size and the gas distribution in the three-dimensional data, and determining reference concentration data corresponding to the three-dimensional data;
acquiring an initial detection position of a detection point in the reference concentration data;
calculating an average value according to the initial detection position and the end point corresponding to the detection point location to obtain an average concentration value corresponding to the detection point location;
performing security level division on security features corresponding to the detection point positions of the usable component data to obtain a security level list corresponding to the security features;
and determining a corresponding operation data result according to the average concentration value and the safety level list.
Further, the method is specifically used for a data analysis end:
identifying the harmful component data to obtain identification data corresponding to the harmful component data;
comparing the identification data with carbon dioxide data in a preset database to obtain a first analysis structure corresponding to the identification data;
mapping the first analysis result to a sulfur detection standard in a preset database for detection to obtain a second analysis result corresponding to the first analysis result;
and judging the similarity of the second analysis result and a harmful element list in a preset database to obtain an analysis result corresponding to the second analysis result.
Further, the method is specifically used for a data analysis end:
determining information value data streams of a plurality of text logs to be screened for identifying a plurality of analysis results in a batch and correlation coefficients among different text logs according to matching success and matching failure corresponding to a plurality of analysis results in the obtained analysis results;
screening the plurality of text logs based on the determined data streams of the plurality of text logs and correlation coefficients among different text logs, so that the data streams of the screened text logs are larger than a first threshold value, and the correlation coefficients among the screened text logs are smaller than a second threshold value; wherein each matching failure is a multiple analysis result record in one of multiple analysis results in the batch, and each matching success is a multiple analysis result record in a non-batch;
for the multiple analysis result records in any data to be detected, judging whether the multiple analysis result records in the data to be identified are multiple analysis results in batches or not according to the value of the multiple analysis result records in the data to be detected under each text log in the screened text logs;
determining that the multiple analysis results in the data to be identified are recorded as the multiple analysis results in the batch, mapping the data to be identified into an analysis list, and determining the data type data corresponding to the analysis results.
Based on the same inventive concept, please refer to fig. 3 in combination, a functional block diagram of a natural gas data analysis device 500 is also provided, and the detailed description of the information security verification device 500 about the data storage is as follows.
An apparatus 500 for analyzing natural gas data, applied to a data processing terminal, the apparatus 500 comprising:
a data receiving module 510, configured to receive the real-time survey data at the data processing end; the real-time survey data are generated by a data acquisition end according to the natural gas mining;
a detection module 520, configured to perform concentration detection on the real-time survey data to obtain a real-time concentration value corresponding to the real-time survey data;
a characteristic module 530, configured to perform characteristic extraction on the real-time concentration value to obtain a concentration characteristic corresponding to the real-time survey data, where the concentration characteristic is used to describe an available concentration indicator of unexplored natural gas storage;
an extracting module 540, configured to perform safety feature extraction on the real-time concentration value to obtain a safety feature corresponding to the real-time exploration data, where the safety feature is used to describe a safety index of a mining area;
an operation module 550, configured to, when the real-time survey data includes harmful component data and usable component data, respectively perform operations on concentration characteristics and safety characteristics corresponding to the usable component data for the usable component data in the real-time survey data to obtain operation data results corresponding to the usable component data;
a comparison module 560, configured to compare preset results in a preset database based on the operation data result to obtain combustion rate data corresponding to the available component data;
the analysis module 570 is configured to perform data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data; and extracting a preset analysis list in a preset database, and mapping the analysis result to the analysis list to obtain data type data corresponding to the analysis result.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A method of natural gas data analysis, the method comprising:
the data processing end receives the real-time survey data; the real-time survey data are generated by a data acquisition end according to the natural gas mining;
carrying out concentration detection on the real-time survey data to obtain a real-time concentration value corresponding to the real-time survey data;
performing feature extraction on the real-time concentration value to obtain a concentration feature corresponding to the real-time survey data, wherein the concentration feature is used for describing available concentration indexes of unexplored natural gas storage;
extracting safety features from the real-time concentration value to obtain safety features corresponding to the real-time exploration data, wherein the safety features are used for describing safety indexes of a mining area;
when the real-time survey data comprises harmful component data and usable component data, respectively calculating concentration characteristics and safety characteristics corresponding to the usable component data for the usable component data in the real-time survey data to obtain calculation data results corresponding to the usable component data;
comparing preset results in a preset database based on the operation data result to obtain combustion rate data corresponding to the usable component data;
carrying out data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data; and extracting a preset analysis list in a preset database, and mapping the analysis result to the analysis list to obtain data type data corresponding to the analysis result.
2. The method for analyzing natural gas data according to claim 1, wherein the specific step of performing concentration detection on the real-time exploration data to obtain a real-time concentration value corresponding to the real-time exploration data comprises:
constructing a concentration data analysis database, wherein the concentration data analysis database comprises pre-stored data characteristics extracted from a database;
carrying out feature extraction on the sample content in the real-time survey data to obtain sample data features corresponding to the sample content; obtaining a sample content state corresponding to the sample data characteristics;
matching a state identification model according to the sample data characteristics and the sample content state; identifying a model according to the sample data characteristics and a similar matching state, wherein the similar state belongs to the concentration data analysis library, and the similarity between the pre-stored data characteristics of the similar state and the sample data characteristics is greater than a threshold value, so as to obtain a corresponding characteristic analysis result;
performing parameter analysis on the feature analysis result to obtain a parameter value corresponding to the feature analysis result;
and carrying out proportional calculation on the parameter values to obtain real-time concentration values corresponding to the parameter values.
3. The method for analyzing natural gas data according to claim 1, wherein the step of respectively operating the concentration characteristic and the safety characteristic corresponding to the available component data to obtain the operation data result corresponding to the available component data comprises:
carrying out three-dimensional modeling on the concentration characteristics of the usable component data to obtain three-dimensional data corresponding to the concentration characteristics of the usable component data;
analyzing the space size and the gas distribution in the three-dimensional data, and determining reference concentration data corresponding to the three-dimensional data;
acquiring an initial detection position of a detection point in the reference concentration data;
calculating an average value according to the initial detection position and the end point corresponding to the detection point location to obtain an average concentration value corresponding to the detection point location;
performing security level division on security features corresponding to the detection point positions of the usable component data to obtain a security level list corresponding to the security features;
and determining a corresponding operation data result according to the average concentration value and the safety level list.
4. The method for analyzing natural gas data according to claim 1, wherein the step of performing data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data comprises:
identifying the harmful component data to obtain identification data corresponding to the harmful component data;
comparing the identification data with carbon dioxide data in a preset database to obtain a first analysis structure corresponding to the identification data;
mapping the first analysis result to a sulfur detection standard in a preset database for detection to obtain a second analysis result corresponding to the first analysis result;
and judging the similarity of the second analysis result and a harmful element list in a preset database to obtain an analysis result corresponding to the second analysis result.
5. The method for analyzing natural gas data according to claim 1, wherein the step of extracting a preset analysis list in a preset database, mapping the analysis result to the analysis list, and obtaining data type data corresponding to the analysis result comprises:
determining information value data streams of a plurality of text logs to be screened for identifying a plurality of analysis results in a batch and correlation coefficients among different text logs according to matching success and matching failure corresponding to a plurality of analysis results in the obtained analysis results;
screening the plurality of text logs based on the determined data streams of the plurality of text logs and correlation coefficients among different text logs, so that the data streams of the screened text logs are larger than a first threshold value, and the correlation coefficients among the screened text logs are smaller than a second threshold value; wherein each matching failure is a multiple analysis result record in one of multiple analysis results in the batch, and each matching success is a multiple analysis result record in a non-batch;
for the multiple analysis result records in any data to be detected, judging whether the multiple analysis result records in the data to be identified are multiple analysis results in batches or not according to the value of the multiple analysis result records in the data to be detected under each text log in the screened text logs;
determining that the multiple analysis results in the data to be identified are recorded as the multiple analysis results in the batch, mapping the data to be identified into an analysis list, and determining the data type data corresponding to the analysis results.
6. The system for analyzing the natural gas data is characterized by comprising a data acquisition end and a data analysis end, wherein the data acquisition end and the data analysis end are communicated with each other and are specifically used for the data analysis end:
the data processing end receives the real-time survey data; the real-time survey data are generated by a data acquisition end according to the natural gas mining;
carrying out concentration detection on the real-time survey data to obtain a real-time concentration value corresponding to the real-time survey data;
performing feature extraction on the real-time concentration value to obtain a concentration feature corresponding to the real-time survey data, wherein the concentration feature is used for describing available concentration indexes of unexplored natural gas storage;
extracting safety features from the real-time concentration value to obtain safety features corresponding to the real-time exploration data, wherein the safety features are used for describing safety indexes of a mining area;
when the real-time survey data comprises harmful component data and usable component data, respectively calculating concentration characteristics and safety characteristics corresponding to the usable component data for the usable component data in the real-time survey data to obtain calculation data results corresponding to the usable component data;
comparing preset results in a preset database based on the operation data result to obtain combustion rate data corresponding to the usable component data;
carrying out data analysis on the harmful component data to obtain an analysis result corresponding to the harmful component data; and extracting a preset analysis list in a preset database, and mapping the analysis result to the analysis list to obtain data type data corresponding to the analysis result.
7. The system for natural gas data analysis according to claim 6, being specifically used at a data analysis end:
constructing a concentration data analysis database, wherein the concentration data analysis database comprises pre-stored data characteristics extracted from a database;
carrying out feature extraction on the sample content in the real-time survey data to obtain sample data features corresponding to the sample content; obtaining a sample content state corresponding to the sample data characteristics;
matching a state identification model according to the sample data characteristics and the sample content state; identifying a model according to the sample data characteristics and a similar matching state, wherein the similar state belongs to the concentration data analysis library, and the similarity between the pre-stored data characteristics of the similar state and the sample data characteristics is greater than a threshold value, so as to obtain a corresponding characteristic analysis result;
performing parameter analysis on the feature analysis result to obtain a parameter value corresponding to the feature analysis result;
and carrying out proportional calculation on the parameter values to obtain real-time concentration values corresponding to the parameter values.
8. The system for natural gas data analysis according to claim 6, being specifically used at a data analysis end:
carrying out three-dimensional modeling on the concentration characteristics of the usable component data to obtain three-dimensional data corresponding to the concentration characteristics of the usable component data;
analyzing the space size and the gas distribution in the three-dimensional data, and determining reference concentration data corresponding to the three-dimensional data;
acquiring an initial detection position of a detection point in the reference concentration data;
calculating an average value according to the initial detection position and the end point corresponding to the detection point location to obtain an average concentration value corresponding to the detection point location;
performing security level division on security features corresponding to the detection point positions of the usable component data to obtain a security level list corresponding to the security features;
and determining a corresponding operation data result according to the average concentration value and the safety level list.
9. The system for natural gas data analysis according to claim 6, being specifically used at a data analysis end:
identifying the harmful component data to obtain identification data corresponding to the harmful component data;
comparing the identification data with carbon dioxide data in a preset database to obtain a first analysis structure corresponding to the identification data;
mapping the first analysis result to a sulfur detection standard in a preset database for detection to obtain a second analysis result corresponding to the first analysis result;
and judging the similarity of the second analysis result and a harmful element list in a preset database to obtain an analysis result corresponding to the second analysis result.
10. The system for natural gas data analysis according to claim 6, being specifically used at a data analysis end:
determining information value data streams of a plurality of text logs to be screened for identifying a plurality of analysis results in a batch and correlation coefficients among different text logs according to matching success and matching failure corresponding to a plurality of analysis results in the obtained analysis results;
screening the plurality of text logs based on the determined data streams of the plurality of text logs and correlation coefficients among different text logs, so that the data streams of the screened text logs are larger than a first threshold value, and the correlation coefficients among the screened text logs are smaller than a second threshold value; wherein each matching failure is a multiple analysis result record in one of multiple analysis results in the batch, and each matching success is a multiple analysis result record in a non-batch;
for the multiple analysis result records in any data to be detected, judging whether the multiple analysis result records in the data to be identified are multiple analysis results in batches or not according to the value of the multiple analysis result records in the data to be detected under each text log in the screened text logs;
determining that the multiple analysis results in the data to be identified are recorded as the multiple analysis results in the batch, mapping the data to be identified into an analysis list, and determining the data type data corresponding to the analysis results.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011329051.0A CN112488479A (en) | 2020-11-24 | 2020-11-24 | Method and system for analyzing natural gas data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011329051.0A CN112488479A (en) | 2020-11-24 | 2020-11-24 | Method and system for analyzing natural gas data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112488479A true CN112488479A (en) | 2021-03-12 |
Family
ID=74933748
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011329051.0A Pending CN112488479A (en) | 2020-11-24 | 2020-11-24 | Method and system for analyzing natural gas data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112488479A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114863649A (en) * | 2022-07-08 | 2022-08-05 | 西南石油大学 | Data management system, storage method and device for natural gas big data analysis |
-
2020
- 2020-11-24 CN CN202011329051.0A patent/CN112488479A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114863649A (en) * | 2022-07-08 | 2022-08-05 | 西南石油大学 | Data management system, storage method and device for natural gas big data analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107145445A (en) | The automatic analysis method and system of the daily record that reports an error of software automated testing | |
| CN109145579A (en) | Intelligent network joins automobile information secure authentication testing method and system | |
| CN103136471A (en) | Method and system for testing malicious Android application programs | |
| CN106650446A (en) | Identification method and system of malicious program behavior, based on system call | |
| CN113792936A (en) | Intelligent lithology while drilling identification method, system, equipment and storage medium | |
| CN111949535A (en) | Software defect prediction device and method based on open source community knowledge | |
| CN114490404A (en) | Test case determination method and device, electronic equipment and storage medium | |
| CN112035345A (en) | Mixed depth defect prediction method based on code segment analysis | |
| CN112488479A (en) | Method and system for analyzing natural gas data | |
| CN114398828A (en) | Drilling rate intelligent prediction and optimization method, system, equipment and medium | |
| CN116012275A (en) | Downhole real-time processing device and method for while-drilling electric imaging data | |
| CN111767546B (en) | Deep learning-based input structure inference method and device | |
| CN111046382B (en) | Database auditing method, equipment, storage medium and device | |
| CN113051168A (en) | Data storage information safety testing system and method for vehicle-mounted information interaction system | |
| CN117421217A (en) | Automatic software function test method, system, terminal and medium | |
| CN108427882B (en) | Android software dynamic analysis detection method based on behavior feature extraction | |
| CN106685926A (en) | Information system security level evaluation method and system | |
| CN114722960A (en) | Method and system for detecting incomplete track of event log in business process | |
| CN113051161A (en) | API misuse detection method based on historical code change information | |
| CN113887076A (en) | Method and device for comprehensively evaluating and analyzing shale geological conditions based on mathematical model | |
| CN114240928A (en) | Board quality partition detection method, device and equipment and readable storage medium | |
| CN112182084A (en) | Data format-based data automatic processing method and equipment | |
| CN112417007A (en) | Data analysis method and device, electronic equipment and storage medium | |
| CN111798237A (en) | Abnormal transaction diagnosis method and system based on application log | |
| CN110656924A (en) | Ultra-low permeability oil reservoir classification 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 |