CN101853309A - Log data format automatic identification and conversion method based on database - Google Patents
Log data format automatic identification and conversion method based on database Download PDFInfo
- Publication number
- CN101853309A CN101853309A CN201010203222A CN201010203222A CN101853309A CN 101853309 A CN101853309 A CN 101853309A CN 201010203222 A CN201010203222 A CN 201010203222A CN 201010203222 A CN201010203222 A CN 201010203222A CN 101853309 A CN101853309 A CN 101853309A
- Authority
- CN
- China
- Prior art keywords
- data
- data format
- information
- layout
- feature database
- 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
Images
Abstract
The invention relates to a log data format automatic identification and conversion method based on a database. The method comprises the steps of: analyzing information characteristics of various log data formats, extracting characteristic information from the information characteristics to establish a data format characteristic base, matching a data file to be converted with the information in the characteristic base so as to quickly identify the data format type of the data file, and then, invoking a matched data format conversion module for carrying out exact match and then carrying out scanning and conversion on the data file. In the method, by adopting a characteristic base technology, the match of the data format is firstly matched with the characteristic base, thus, the data format type can be ensured to be quickly identified, the identification accuracy is improved and the manual intervention and labor intensity are lowered; and the part of exact match further ensures the accuracy particularly under the condition of manual intervention so as to prevent an error processing result caused by error intervention. The invention greatly enhances the logging treatment and the working efficiency of operating personnel of an interpretive system and provides technical support for the popularization of the project.
Description
Technical field
The invention belongs in the petroleum engineering that log data format is discerned automatically, switch technology, relate in the petroleum engineering multiple log data format and discerned its form how automatically, effectively, thereby fast, accurately, automatically discern and change these data, relate in particular to based on the log data format of feature database and discern automatically and conversion method.
Background technology
In petroleum engineering well loggings specialty, log data is of a great variety, and storage format is varied, Field Logging Data especially, and different apparatus manufactures has different data memory formats.According to statistics, existing both at home and abroad log data storage format reaches kind more than 100.
These data are carrying out often will carrying out Data Format Transform before the well-log information processing explanation, so that disposal system can be used.
The data-switching of existing well-log information disposal system all adopts artificial cognition mode or semi-intelligent fuzzy diagnosis mode.
So-called artificial cognition mode, requiring knows for sure wants the data converted file type, calls corresponding modular converter, and this conversion regime speed is fast, the efficient height, shortcoming is that treatment people must be fully aware of to this data layout, otherwise just can't realize conversion.
Semi-intelligent fuzzy diagnosis mode then requires the user to know and wants the possible type of data converted file, and specifies possibility modular converter accordingly.This conversion regime provides one or more possible data layouts, allow modular converter in given form, search for automatically, to mate, but must guarantee that data layout to be processed belongs to a kind of of given possible form, and given possibility is many more, processing speed is slow more, because system will scan one by one given module, mate.It is rigorous, unique to require the format module of multiselect to judge the description of form simultaneously, otherwise will cause confusion, can't realize correctly separating volume.More serious problem is if newly-increased data form then may or even must be revised original whole modular converter software.
Summary of the invention
The purpose of this invention is to provide a kind of can discern and finish automatically, exactly conversion based on the log data format of feature database identification and conversion method automatically, adopt the processing speed of artificial cognition mode, semi-intelligent fuzzy diagnosis mode slow to solve existing data-switching, efficient is low, manual intervention is many, labour intensity is big, increase the problem of data layout inconvenience newly.
For achieving the above object, the log data format based on feature database of the present invention is discerned with the conversion method step as follows automatically:
(1) characteristic information in the various log data formats of extraction is set up the data layout feature database;
(2) characteristic information with the log data format stored in log data file to be converted and the feature database mates, and notes the Data Format Transform module title that is complementary;
(3) according to the feature database matching result, to call the Data Format Transform module that is complementary and accurately mate again, laggard line scanning that the match is successful, conversion are finished the information of data layout and are obtained and change.
Further, the foundation of feature database is to utilize the inner peculiar information of log data file layout, file designation feature to produce a feature database file on computer disk in the described step (1).
Further, described feature database is that many customizing messages by a plurality of log data formats constitute, these customizing messages comprise the information description that is used to describe all operand information, can fix a point respectively, in the section and the region of search of skew way of search setting, be used for starting point, terminating point, the value type that is used for the data type setting of operand that the feature locations scope limits, be used for the operand maximal value, maximal value and minimum value that the minimum value scope is provided with.
Further, the log data format characteristic information of storing in log data file to be converted and the feature database in the described step (2) mates and may further comprise the steps:
1) from computer disk, read the feature database full content the storage directory of feature database in calculator memory, and data layout number in the recording feature storehouse;
2) from the characteristic information zone of first data layout of feature database, the characteristic information of the relevant position of the characteristic information of this data layout and data layout to be converted is mated one by one, if each characteristic information of current data form all is complementary with the characteristic information of data file to be converted, then notes pairing the separating of this data layout and compile the module title;
3) enter the next data layout characteristic information zone of feature database, by 2) mode and the corresponding information district of data layout to be converted mate, and note the Data Format Transform module title that the match is successful, total data format character information searching finishes in feature database;
4) if above-mentioned steps 2), 3) do not find the data layout of coupling, then prompting is manually selected modular converter or is stopped this operation; If only find the modular converter of a coupling, then load this modular converter, call Data Format Transform module interface function, enter accurate matching stage then; If there is the modular converter of a plurality of couplings, then point out the user from a plurality of modules, to select a modular converter, the user loads this Data Format Transform module after selecting, and calls Data Format Transform module interface function, enters accurate matching stage.
Further, the accurate matching way in the described step (3) comprises the steps:
1) the current modular converter chosen according to own at the characteristic feature information of data layout, discern data file to be converted once more, if this modular converter can correctly be discerned this data file, then withdraw from scanning function, and information such as well-name that this data file comprised, curve number, curve name are offered user interface, inform the user, this data file can be by own correct identification; Otherwise, withdraw from scanning function, inform that this data layout of user oneself can not be discerned, wait for that the user further handles;
2) after computer system is received the information of correct recognition data file, enter user profile and revise the interface, wait for user's modification, editing data format information;
3) after editor finishes, call and the corresponding Data Format Transform module of data layout to be converted, finish the conversion work of data layout.
Further, Data Format Transform module in the described step (3) includes two interface functions, one is that the scan interface function is used to discern current data layout to be converted, confirm whether be oneself can the data converted form, another is the translation interface function, and concrete transfer process is called exactly, loading data translation interface function.
Further, starting point, terminating point that described feature locations scope limits are for geographic search, from the direct corresponding matching operation number of starting point; For searching in the section, then in starting point, terminating point optional position matching operation number; For the skew search, starting point is an offset point, and the actual search position will add a fixed position of up-to-date search, and this vertex position is to obtain by search in the section.
Further, the scope of described operand maximal value, minimum value, for the character type operand, maximal value is a plurality of conditional values; For the numeric type operand, what provide is coupling numerical value interval.
Log data format based on feature database of the present invention is discerned and conversion method automatically, by analyzing the information characteristics of various log data formats, extract one or more representative characteristic information wherein, set up the data layout feature database, some data files to be converted and feature database information are mated, thereby quick identification goes out the type of data format of this data file, and then call the Data Format Transform module that is complementary and scan, conversion, adopt the feature database technology, the coupling of data layout is at first mated with feature database, this just can guarantee to identify rapidly and accurately data type, improve recognition accuracy, reduce manual intervention and labour intensity; Accurately compatible portion then can guarantee the accuracy rate under the manual intervention situation, and prevention causes the result mistake because of intervening mistake; The present invention has greatly improved logging data processing, interpre(ta)tive system operating personnel's work efficiency, for the popularization of project provides technical support.
Description of drawings
Fig. 1 is a theory diagram of the present invention.
Embodiment
Log data format based on feature database of the present invention automatically identification and conversion method theory diagram as shown in Figure 1, step is as follows:
(1) characteristic information in the various log data formats of extraction is set up the data layout feature database;
(2) characteristic information with the log data format stored in log data file to be converted and the feature database mates, and notes the Data Format Transform module title that is complementary;
(3) according to the feature database matching result, to call the Data Format Transform module that is complementary and accurately mate again, laggard line scanning that the match is successful, conversion are finished the information of data layout and are obtained and change.
Detailed step is as follows:
The first step: the log data format feature database is built
The construction of feature database is to utilize the peculiar internal information of well logging file layout, file designation feature to produce a feature database file on computer disk, and this feature database is promptly to separate the volume module by n log data format to constitute.The feature database file layout is:
[separate and compile module name 1] characteristic number n1
Information description 1 region of search 1 starting point 1 terminating point 1 value Class1 minimum value 1 maximal value 1
Information description 2 region of search 2 starting points 2 terminating points 2 value types 2 minimum value 2 maximal values 2
．．．．．．
Information description n1 region of search n1 starting point n1 terminating point n1 value type n1 minimum value n1 maximal value n1
[separate and compile module name 2] characteristic number n2
Information description 1 region of search 1 starting point 1 terminating point 1 value Class1 minimum value 1 maximal value 1
Information description 2 region of search 2 starting points 2 terminating points 2 value types 2 minimum value 2 maximal values 2
．．．．．．
Information description n2 region of search n2 starting point n2 terminating point n2 value type n2 minimum value n2 maximal value n2
．．．．．．
[END]
Wherein:
Information description: the operand information of search is described.
Region of search: way of search is set, fix a point, in the section and three kinds of modes of skew search select to be provided with, be to be provided with according to the characteristic number of required search at fixed position or in the search section or at certain feature deviation post of fixing a point.
Starting point, terminating point: the position range of certain feature.For geographic search, then from the direct corresponding matching operation number of starting point; For searching in the section, then in starting point, matching operation number in terminating point optional position gets final product; For the skew search, this starting point is an offset point, and the actual search position will add a fixed position of up-to-date search, and this fixed position is to obtain by search in the section, that is: the matching operation point+starting point of search in matching operation point=the next item up section.
The value type: the data type of operand, can be character, integer, the multiple operand feature of full mold, the data type of operand will be considered the Machine Type of operand.
Minimum value, maximal value: the minimum value of operand and maximum range, for the character type operand, maximal value can be a plurality of conditional values, as: when minimum value, maximal value equal H or T or C for " H T.OR.C " expression operand, all satisfy search condition; For the numeric type operand, what provide is coupling numerical value interval.
Second step: log data format characteristic matching
1) from computer disk, read the feature database full content the storage directory of feature database in calculator memory, and data layout number in the recording feature storehouse;
2) from the characteristic information zone of first data layout of feature database, the characteristic information of the relevant position of the characteristic information of this data layout and data layout to be converted is mated one by one, if each characteristic information of current data form all is complementary with the characteristic information of data file to be converted, then notes pairing the separating of this data layout and compile the module title;
3) enter the next data layout characteristic information zone of feature database, by 2) mode and the corresponding information district of data layout to be converted mate, and note the Data Format Transform module title that the match is successful, total data format character information searching finishes in feature database;
4) for above-mentioned 2), 3) matching result, divide three kinds of situations to handle:
If a) the above-mentioned data layout that does not find coupling is then pointed out user oneself manual selection modular converter or is stopped this operation;
B) if only there is a modular converter, then load this Data Format Transform module, call Data Format Transform module interface function, enter accurate matching stage;
C) if there is the modular converter of a plurality of couplings, then point out the user, need the user from a plurality of modules, to select a modular converter.The user loads this Data Format Transform module after selecting, and calls Data Format Transform module interface function, enters accurate matching stage.
The 3rd step: accurately mate, finish Data Format Transform
1) the current modular converter chosen according to own at the characteristic feature information of data layout, discern data file to be converted once more, if this modular converter can correctly be discerned this data file, then withdraw from scanning function, and information such as well-name that this data file comprised, curve number, curve name are offered user interface, inform the user, this data file can be by own correct identification; Otherwise, withdraw from scanning function, inform that this data layout of user oneself can not be discerned, wait for that the user further handles;
2) after computer system is received the information of correct recognition data file, enter user profile and revise the interface, wait for user's modification, editing data format information;
3) after editor finishes, call and the corresponding Data Format Transform module of data layout to be converted, finish the conversion work of data layout.
Specific embodiment:
The first step: the log data format feature database is built
Shown in the following tabulation is the characteristic information of part form, for example: search file head, two tagged word FILE-HEADE of origin and ORIGIN in the DLIS section of being.XTF is geographic search tagged word .XTF and two fixed point character numerical values 1 and 2.BIT is first search characteristics word T in section, obtains fixed position and adds polytype operands such as respectively being offset initial point position place search file number, curved line number, sampling interval, date, month again.Polytype operand coupling is for more accurate certain format character that finds.
The feature database file example:
Second step: log data format characteristic matching
1, reads above-mentioned feature database in internal memory, and count and have 6 kinds of data layouts in the feature database;
2, from first kind of data layout characteristic, its modular converter code is DLIS, and its representative record number is 2; The corresponding information of each recorded information and data file to be converted is compared; If all recorded informations are all consistent with the corresponding information of data file to be converted, note this modular converter code (as top DLIS);
3, proceed the coupling of next module information, method is with 2, and till whole module couplings finished, cycle index was 7 times in this example;
If 4 do not find the data layout of any coupling, then point out user oneself selection modular converter or stop this operation;
If 5 only exist a modular converter, then load this Data Format Transform module, call Data Format Transform module interface function, enter accurate matching stage.For example above-mentioned if the data that find are the DLIS data, then start the DLIS.DLL modular converter;
If 6 exist the modular converter (SK88 or SK3000) of a plurality of couplings, then point out the user, need the user from a plurality of modules, to select a modular converter.The user loads this Data Format Transform module after selecting, and calls Data Format Transform module interface function, enters accurate matching stage.
The 3rd step: accurately mate, finish Data Format Transform
In order accurately to mate, the inside of each modular converter, all contain two interface functions: one is the recognition interface function that can discern own data layout, is called as the scan interface function, is the data transformation interface function in addition.The structure unanimity of these two functions in all modular converters is so that modular converter Loading Control software designs easily.
The scan interface function is used to discern current data layout to be converted, confirms whether be that oneself can the data converted form.The loading procedure of modular converter need call this scan interface function, and the acquisition scanning result (oneself can be discerned this data file of conversion etc. such as the curved line number that contains in the file, curve title and current this modular converter.
When scanning result is true, then enter into user interface, the user carries out necessary modifications work according to the information of scanning, and T is AC etc. such as the change curve D.After editor finishes, enter concrete transfer process (specifically being loading data translation interface function), finish the conversion work of data.
Claims (8)
1. a log data format is discerned and conversion method automatically, it is characterized in that this method may further comprise the steps:
(1) characteristic information in the various log data formats of extraction is set up the data layout feature database;
(2) characteristic information with the log data format stored in log data file to be converted and the feature database mates, and notes the Data Format Transform module title that is complementary;
(3) according to the feature database matching result, to call the Data Format Transform module that is complementary and accurately mate again, laggard line scanning that the match is successful, conversion are finished the information of data layout and are obtained and change.
2. log data format according to claim 1 is identification and conversion method automatically, it is characterized in that: the foundation of feature database is to utilize the inner peculiar information of log data file layout, file designation feature to produce a feature database file on computer disk in the described step (1).
3. log data format according to claim 2 is identification and conversion method automatically, it is characterized in that: described feature database is that many customizing messages by a plurality of log data formats constitute, these customizing messages comprise the information description that is used to describe all operand information, can fix a point respectively, in the section and the region of search of skew way of search setting, be used for starting point, terminating point, the value type that is used for the data type setting of operand that the feature locations scope limits, be used for the operand maximal value, maximal value and minimum value that the minimum value scope is provided with.
4. log data format according to claim 1 is identification and conversion method automatically, it is characterized in that, the log data format characteristic information of storing in log data file to be converted and the feature database in the described step (2) mates and may further comprise the steps:
1) from computer disk, read the feature database full content the storage directory of feature database in calculator memory, and data layout number in the recording feature storehouse;
2) from the characteristic information zone of first data layout of feature database, the characteristic information of the relevant position of the characteristic information of this data layout and data layout to be converted is mated one by one, if each characteristic information of current data form all is complementary with the characteristic information of data file to be converted, then notes pairing the separating of this data layout and compile the module title;
3) enter the next data layout characteristic information zone of feature database, by 2) mode and the corresponding information district of data layout to be converted mate, and note the Data Format Transform module title that the match is successful, total data format character information searching finishes in feature database;
4) if above-mentioned steps 2), 3) do not find the data layout of coupling, then prompting is manually selected modular converter or is stopped this operation; If only find the modular converter of a coupling, then load this modular converter, call Data Format Transform module interface function, enter accurate matching stage then; If there is the modular converter of a plurality of couplings, then point out the user from a plurality of modules, to select a modular converter, the user loads this Data Format Transform module after selecting, and calls Data Format Transform module interface function, enters accurate matching stage.
5. discern automatically and conversion method according to claim 1 or 4 described log data formats, it is characterized in that the accurate matching way in the described step (3) comprises the steps:
1) the current modular converter chosen according to own at the characteristic feature information of data layout, discern data file to be converted once more, if this modular converter can correctly be discerned this data file, then withdraw from scanning function, and information such as well-name that this data file comprised, curve number, curve name are offered user interface, inform the user, this data file can be by own correct identification; Otherwise, withdraw from scanning function, inform that this data layout of user oneself can not be discerned, wait for that the user further handles;
2) after computer system is received the information of correct recognition data file, enter user profile and revise the interface, wait for user's modification, editing data format information;
3) after editor finishes, call and the corresponding Data Format Transform module of data layout to be converted, finish the conversion work of data layout.
6. log data format according to claim 5 is identification and conversion method automatically, it is characterized in that: the Data Format Transform module in the described step (3) includes two interface functions, one is that the scan interface function is used to discern current data layout to be converted, confirm whether be oneself can the data converted form, another is the translation interface function, and concrete transfer process is called exactly, loading data translation interface function.
7. log data format according to claim 6 is identification and conversion method automatically, it is characterized in that: starting point, terminating point that described feature locations scope limits, for geographic search, from the direct corresponding matching operation number of starting point; For searching in the section, then in starting point, terminating point optional position matching operation number; For the skew search, starting point is an offset point, and the actual search position will add a fixed position of up-to-date search, and this vertex position is to obtain by search in the section.
8. log data format according to claim 7 is identification and conversion method automatically, it is characterized in that: the scope of described operand maximal value, minimum value, and for the character type operand, maximal value is a plurality of conditional values; For the numeric type operand, what provide is coupling numerical value interval.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102032225A CN101853309B (en) | 2010-06-18 | 2010-06-18 | Log data format automatic identification and conversion method based on database |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010102032225A CN101853309B (en) | 2010-06-18 | 2010-06-18 | Log data format automatic identification and conversion method based on database |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101853309A true CN101853309A (en) | 2010-10-06 |
| CN101853309B CN101853309B (en) | 2012-11-07 |
Family
ID=42804800
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010102032225A Expired - Fee Related CN101853309B (en) | 2010-06-18 | 2010-06-18 | Log data format automatic identification and conversion method based on database |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101853309B (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102505932A (en) * | 2011-10-08 | 2012-06-20 | 长春大学 | Method for identifying reservoir fluid properties based on extracted chaotic characteristic parameters |
| CN104137107A (en) * | 2012-03-06 | 2014-11-05 | 福斯分析有限公司 | Method, software and graphical user interface for forming a prediction model for chemometric analysis |
| CN104717444A (en) * | 2013-12-12 | 2015-06-17 | 中国航空工业集团公司第六三一研究所 | Method of automatically converting video of multiple formats to VESA (Video Electronics Standards Association)-protocol 1920*1440-resolution 75Hz-frame rate video |
| CN104717446A (en) * | 2013-12-12 | 2015-06-17 | 中国航空工业集团公司第六三一研究所 | Method for automatically converting videos of multiple formats to video of ITU 656 protocol PAL format |
| CN105224312A (en) * | 2015-09-07 | 2016-01-06 | 中国石油天然气股份有限公司 | A kind of oil well logging model treatment method and system based on Formula Parsing |
| CN105629323A (en) * | 2014-11-06 | 2016-06-01 | 中国石油化工股份有限公司 | Well logging curve automatic splicing method |
| CN106646634A (en) * | 2016-12-08 | 2017-05-10 | 中石化石油工程技术服务有限公司 | Method and device for correcting abnormal micro-resistivity scanning imaging logging data |
| CN107843935A (en) * | 2017-10-24 | 2018-03-27 | 北京吉奥特能源科技有限责任公司 | XRMI Electrical imaging image automatic generation methods |
| CN110692046A (en) * | 2017-04-21 | 2020-01-14 | 西门子股份公司 | Method and device for acquiring requirement information related to components |
| CN111639050A (en) * | 2019-03-01 | 2020-09-08 | 中国石油天然气集团有限公司 | Well data format conversion method and system |
| CN111666114A (en) * | 2020-04-28 | 2020-09-15 | 中国石油天然气集团有限公司 | Plug-in type well logging data conversion method |
| CN114896468A (en) * | 2022-04-24 | 2022-08-12 | 北京月新时代科技股份有限公司 | File type matching method and intelligent data entry method based on neural network |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1155614A (en) * | 1996-11-25 | 1997-07-30 | 石油勘探开发科学研究院石油地球物理研究所 | Method for discription of single or plural well logging information using uniformed formation |
| US20030130845A1 (en) * | 2002-01-09 | 2003-07-10 | International Business Machines Corporation | Method and system for converting files to a specified markup language |
| CN101650750A (en) * | 2009-09-17 | 2010-02-17 | 西安奥华电子仪器有限责任公司 | Rapid and intuitive interpretive system and method for petroleum well logging data |
| CN101655878A (en) * | 2009-09-17 | 2010-02-24 | 中国人民解放军第四军医大学 | Petroleum-logging data processing method |
-
2010
- 2010-06-18 CN CN2010102032225A patent/CN101853309B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1155614A (en) * | 1996-11-25 | 1997-07-30 | 石油勘探开发科学研究院石油地球物理研究所 | Method for discription of single or plural well logging information using uniformed formation |
| US20030130845A1 (en) * | 2002-01-09 | 2003-07-10 | International Business Machines Corporation | Method and system for converting files to a specified markup language |
| CN101650750A (en) * | 2009-09-17 | 2010-02-17 | 西安奥华电子仪器有限责任公司 | Rapid and intuitive interpretive system and method for petroleum well logging data |
| CN101655878A (en) * | 2009-09-17 | 2010-02-24 | 中国人民解放军第四军医大学 | Petroleum-logging data processing method |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102505932A (en) * | 2011-10-08 | 2012-06-20 | 长春大学 | Method for identifying reservoir fluid properties based on extracted chaotic characteristic parameters |
| CN104137107A (en) * | 2012-03-06 | 2014-11-05 | 福斯分析有限公司 | Method, software and graphical user interface for forming a prediction model for chemometric analysis |
| CN104717444B (en) * | 2013-12-12 | 2017-11-24 | 中国航空工业集团公司第六三一研究所 | Automatic switching method of more video formats to VESA agreement 1920X1440 resolution ratio 75Hz frame-rate videos |
| CN104717444A (en) * | 2013-12-12 | 2015-06-17 | 中国航空工业集团公司第六三一研究所 | Method of automatically converting video of multiple formats to VESA (Video Electronics Standards Association)-protocol 1920*1440-resolution 75Hz-frame rate video |
| CN104717446A (en) * | 2013-12-12 | 2015-06-17 | 中国航空工业集团公司第六三一研究所 | Method for automatically converting videos of multiple formats to video of ITU 656 protocol PAL format |
| CN105629323A (en) * | 2014-11-06 | 2016-06-01 | 中国石油化工股份有限公司 | Well logging curve automatic splicing method |
| CN105629323B (en) * | 2014-11-06 | 2018-01-05 | 中国石油化工股份有限公司 | A kind of log method for automatically split-jointing |
| CN105224312A (en) * | 2015-09-07 | 2016-01-06 | 中国石油天然气股份有限公司 | A kind of oil well logging model treatment method and system based on Formula Parsing |
| CN106646634A (en) * | 2016-12-08 | 2017-05-10 | 中石化石油工程技术服务有限公司 | Method and device for correcting abnormal micro-resistivity scanning imaging logging data |
| CN106646634B (en) * | 2016-12-08 | 2020-04-14 | 中石化石油工程技术服务有限公司 | Method and device for correcting abnormity of micro-resistivity scanning imaging logging data |
| CN110692046A (en) * | 2017-04-21 | 2020-01-14 | 西门子股份公司 | Method and device for acquiring requirement information related to components |
| CN107843935A (en) * | 2017-10-24 | 2018-03-27 | 北京吉奥特能源科技有限责任公司 | XRMI Electrical imaging image automatic generation methods |
| CN107843935B (en) * | 2017-10-24 | 2019-12-13 | 北京吉奥特能源科技有限责任公司 | XRMI electric imaging image automatic generation method |
| CN111639050A (en) * | 2019-03-01 | 2020-09-08 | 中国石油天然气集团有限公司 | Well data format conversion method and system |
| CN111639050B (en) * | 2019-03-01 | 2024-03-26 | 中国石油天然气集团有限公司 | Well data format conversion method and system |
| CN111666114A (en) * | 2020-04-28 | 2020-09-15 | 中国石油天然气集团有限公司 | Plug-in type well logging data conversion method |
| CN111666114B (en) * | 2020-04-28 | 2023-08-22 | 中国石油天然气集团有限公司 | Plug-in logging data conversion method |
| CN114896468A (en) * | 2022-04-24 | 2022-08-12 | 北京月新时代科技股份有限公司 | File type matching method and intelligent data entry method based on neural network |
| CN114896468B (en) * | 2022-04-24 | 2024-02-02 | 北京月新时代科技股份有限公司 | File type matching method and data intelligent input method based on neural network |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101853309B (en) | 2012-11-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101853309B (en) | Log data format automatic identification and conversion method based on database | |
| CN104899010B (en) | The multi-lingual opinion on public affairs method and system of source code | |
| EP0472026A2 (en) | Information processing system and method for processing document by using structured keywords | |
| CN103092847A (en) | Two-dimensional bar code based electronic document set retrieval realization | |
| AU2002331728B2 (en) | A method for automatically indexing documents | |
| CN108388640B (en) | Data conversion method and device and data processing system | |
| CN107341080B (en) | Test case management system and method | |
| CN102567297A (en) | Data conversion device and data conversion method | |
| CN110413570A (en) | A kind of document index and search method and its device | |
| CN102156712A (en) | Power information retrieval method and power information retrieval system based on cloud storage | |
| CN110362596A (en) | A kind of control method and device of text Extracting Information structural data processing | |
| CN103020225B (en) | A kind of CPU type identifier method and hardware detection system | |
| CN108446115A (en) | A kind of method and device of code reuse | |
| CN102004633B (en) | Method and device for processing control property | |
| US8812521B2 (en) | Image file sorting method, image file sorting device, and computer program product | |
| CN102262617B (en) | Method and device for processing hand sample of book edition | |
| CN106294875B (en) | A kind of name entity fuzzy retrieval method and system | |
| CN114186554A (en) | Script data processing method and device, computer equipment and storage medium | |
| CN105912627A (en) | Data search system and method | |
| CN104239047B (en) | The method and its device of a kind of information gathering | |
| CN117057312B (en) | Python-based precise splitting method for extra-high voltage engineering water conservation design document | |
| JP5108642B2 (en) | Use case scenario creation support system, use case scenario creation support method, and use case scenario creation support program | |
| CN104778243A (en) | Method and device for converting character data into numerical data | |
| CN111160870A (en) | Patent file generation method, device and system and storage medium | |
| Geng | Media bias detecting based on word embedding |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: SINOPEC OILFIELD SERVICE CORPORATION Free format text: FORMER OWNER: SINOPEC GROUP Effective date: 20150909 Free format text: FORMER OWNER: GEOLOGICAL LOGGING COMPANY, HENAN PETROLEUM EXPLORATION BUREAU, SINOPEC Effective date: 20150909 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20150909 Address after: 100029 Beijing Chaoyang District Hui Xin a No. twelve layer 6 Patentee after: SINOPEC OILFIELD SERVICE CORPORATION Address before: 100728 Beijing, Chaoyangmen, North Street, No. 22, No. Patentee before: China Petrochemical Group Corp. Patentee before: Geological Logging Company, Henan Petroleum Exploration Bureau, SINOPEC |
|
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20121107 Termination date: 20160618 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |