CN111666114B - Plug-in logging data conversion method - Google Patents

Plug-in logging data conversion method Download PDF

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CN111666114B
CN111666114B CN202010352149.1A CN202010352149A CN111666114B CN 111666114 B CN111666114 B CN 111666114B CN 202010352149 A CN202010352149 A CN 202010352149A CN 111666114 B CN111666114 B CN 111666114B
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data
plug
curve
information
reading
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CN111666114A (en
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余长江
周军
李国军
陈小磊
张娟
段先斐
倪路桥
杜钦波
马修刚
王雷
樊云峰
孙佩
雷蕾
曹先军
刘家雄
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China National Petroleum Corp
China Petroleum Logging Co Ltd
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China National Petroleum Corp
China Petroleum Logging Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/445Program loading or initiating
    • G06F9/44521Dynamic linking or loading; Link editing at or after load time, e.g. Java class loading
    • G06F9/44526Plug-ins; Add-ons
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/254Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/258Data format conversion from or to a database
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Databases & Information Systems (AREA)
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  • General Physics & Mathematics (AREA)
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  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a plug-in type logging data conversion method, and belongs to the field of data processing. According to the logging data conversion method, analysis of the logging data file is achieved through the decoder plug-in, well information, data object information and data block information in the logging file are extracted, a well object is constructed to serve as a carrier of analysis information, the well object is transmitted into the encoder, a conversion function of the logging file is achieved in the encoder through operation of the well object, a universal data reading plug-in is developed according to a data storage mode of the logging file, and a function that a single data reading plug-in supports multiple types of logging curve data is achieved. The plug-in type logging data conversion method can rapidly develop the decoder plug-in to realize analysis of the logging file with the new format, and can multiplex the data reading plug-in.

Description

Plug-in logging data conversion method
Technical Field
The invention relates to the field of data processing, in particular to a plug-in logging data conversion method.
Background
In the petroleum engineering logging profession, logging data are various due to different logging instruments and processing platforms, storage formats are various, and format conversion is often needed before the logging data are used on different platforms so that the platforms can be identified for use.
If a new data format is added, multiple special conversion modules need to be developed to analyze the new format and convert the new format into the required format or convert the existing data format into the new format, which causes a multiple increase in workload.
Disclosure of Invention
The invention aims to overcome the defect that a plurality of special conversion modules need to be developed to analyze a new format when the data format is newly increased, and provides a plug-in logging data conversion method.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
a plug-in logging data conversion method comprises the following steps:
1) Forming plug-in libraries by various decoder plug-ins, various encoder plug-ins and data reading plug-ins;
2) Loading a logging data file to be converted, and matching decoder plug-in until the matching is successful;
3) Reading well information, data object information and data block information in a logging data file by using a successfully matched decoder, and storing the analyzed information into the well object;
the data block information comprises stored index information of curves in a logging data file;
the data object information comprises a curve object, a table object and a stream object;
the curve object comprises an original curve name, an original initial depth, an original end depth, an original step length, original dimension information, an original data type, an original conversion mark and modified corresponding curve information;
the table object comprises a table type, a name, a table header and table data;
the stream object comprises a stream object name and a stream data body;
4) And instantiating an encoder plug-in according to the format to be transferred, and obtaining well information, data object information and data block information by the encoder plug-in through operating the well object to finish writing out the file header and the file body.
Further, the specific process of matching in the step 2) is as follows:
if a decoder plug-in is specified, instantiating the specified decoder;
otherwise, instantiating the decoder plug-in according to the suffix name of the logging data file.
Further, the process of instantiating the decoder plug-in according to the suffix name of the logging data file is:
invoking a matching function of a decoder to verify whether the log data file can be identified by the decoder;
if the identification fails, the decoders are instantiated in turn until the identification is successful.
Further, the specific operations of the encoder plug-in step 4) to obtain the well information, the data object information and the data block information by operating the well object are:
the encoder plug-in provides a transfer interface taking a well object as a parameter to construct a transfer-out logging data file, and a disk file is firstly created according to a format to be transferred out in the transfer interface and file identification information is written in;
and then obtaining the information of the data object to be converted through the operation well object, writing the information into the disk file, and then writing curve data in blocks.
Further, the block write curve data specifically operates as:
creating a conversion information object for each curve to be converted before writing curve data;
the conversion information object comprises a current writing index position, a single depth point data block size and a reading completion mark;
calling a data reading plug-in to read curve data, if the returned depth point number is greater than zero, reading effective data, writing the returned data block into a disk file according to the index position stored in the conversion information object and updating the index position in the conversion information object;
if the returned depth point number is zero, the data block is read completely, and a read-out mark is set as TRUE;
after all curve data in the current block are circularly converted, judging whether the curve is written completely or not according to a read-out mark in a conversion information object of the curve to be converted;
if the writing is finished, the curve data is written;
otherwise, the interface is continuously called to read the next piece of data until the curve data is written.
Further, the data reading plug-in provides a reading interface for reading curve data according to the curve name, and the reading interface returns the read curve depth points and the data memory block;
when the well object invokes the reading interface for the first time, sequentially instantiating the data reading plug-ins according to the specified plug-in types until the instantiation is successful, and reading curve data by using the data reading plug-ins which are successfully instantiated;
the data reading plug-ins include a block reading plug-in and a frame reading plug-in.
Further, if the transfer-out file modifies the sampling interval of the original curve, the well object calls the resampling plug-in to resample the data block after reading the curve data block through the data reading plug-in, and the resampled depth point number and the resampled data block are returned;
otherwise, directly returning the depth points and the data blocks read by the data reading plug-in.
Further, when the data reading plug-in is called for the first time to read the original logging curve data, the following initialization operation is performed:
establishing a mapping relation object between the sampling depth and the original data block according to the starting depth, the ending depth and the data block information of the curve to be transferred out;
calculating the total data size of all curves on each depth point according to the data type of each curve, the sampling point number of a single curve on each depth point and the total curve number, calculating the depth point number of each piece of data by combining a set single block data size threshold, and distributing a buffer object with a fixed size space for each curve according to the piece depth point number, the data type of the corresponding curve and the single depth sampling point number;
the cache object provides a loading mark, a read finishing mark, a current index, a current effective depth point number and a storage space with a fixed size;
the loading mark is used for marking whether the object is loaded with data, and judging whether the data block needs to be reloaded according to the mark when the cache object is used;
the read-out mark is used for marking whether the effective data block is read out or not;
the current index is used for marking the depth offset of the data which is already used in the cache;
and the effective depth point marks the effective data depth point in the cache space.
Further, when the data reading plug-in is called to read data, firstly judging whether the object is loaded with the data, if the object is not loaded and the file is not read completely, reading the block data of all curves according to the block index information and filling the block data into the corresponding curve cache object, otherwise, indicating that the data is read completely;
when original curve data is read according to the mapping relation object, if the read depth range exceeds the actual depth range of the curve, invalid values are filled in the exceeding part. Compared with the prior art, the invention has the following beneficial effects:
according to the plug-in type logging data conversion method, the decoder plug-in is utilized to realize analysis of logging data files, well information, data object information and data block information in the logging files are extracted, a well object is constructed to serve as a carrier of analysis information, the well object is transmitted into an encoder, a conversion function of the logging files is realized in the encoder by operating the well object, corresponding data reading plug-ins can be multiplexed according to different data storage modes of the logging files, and a single data reading plug-in is realized to support a reading function of multiple types of logging curve data; the plug-in type logging data conversion method can rapidly develop the decoder plug-in to realize analysis of the logging files with the new format or develop the encoder plug-in to realize export of the logging files with the new format, and can multiplex the data reading plug-in. The independent design of the encoder and the decoder enables analysis and transfer of the logging data file to be completely isolated, and when a new format exists, the logging data can be converted from one format to another by only developing a new decoder or encoder to a plug-in library and matching with a corresponding data reading plug-in and taking a well object as a carrier.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a decoder matching flow chart;
FIG. 3 is a flow chart of log data file parsing;
FIG. 4 is a flow chart of an encoder creating an output file;
FIG. 5 is a flow chart of a data reading profile of a data reading card.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention is described in further detail below with reference to the attached drawing figures:
referring to fig. 1, fig. 1 is a flowchart of the present invention, specifically including the following steps:
1) Developing various decoder plug-ins, data reading plug-ins and encoder plug-ins according to the storage structure of the logging data file to form a plug-in library;
2) Loading a logging data file to be converted, and carrying out matching detection by using a decoder in a plug-in library to find a successfully matched decoder;
3) Reading well information, data object information and data block information in a logging data file by using a decoder which is successfully matched, constructing a well object, and storing the analyzed information into the well object;
4) According to the format to be transferred out, the encoder instantiates an encoder, and provides an interface taking the well object as a parameter, well information, data object information and data blocks are obtained in the interface through operating the well object, and the writing-out function of the file header and the file body is completed.
The first step: developing related decoder plug-ins, encoder plug-ins and data reading plug-ins to form a plug-in library; the decoder plug-in provides four interfaces: the first is a decoder matching interface which is used for reading the related marks in the logging data file and carrying out matching judgment with the current decoder; the second is a well information analysis interface for reading well information in the log data file; thirdly, a logging data object analysis interface is used for reading curve information, table data and stream data in a logging data file; and the fourth is a data block information analysis interface for reading the information of the logging curve data block. The encoder plug-in provides a transfer interface taking the well object as a parameter, which is used for constructing a transfer-out logging file, and well information, data object information and curve data are acquired through operating the well object in the transfer interface. The data reading plug-in provides a reading interface taking the name of the curve as a parameter and is used for reading the curve data in the original well logging file.
And a second step of: matched decoder
Referring to fig. 2, fig. 2 is a flowchart of decoder matching, when a decoder is specified during file loading, the specified decoder is instantiated, otherwise, the decoder is instantiated according to the file suffix name, a matching function of the decoder is called to verify whether the current file can be identified by the decoder, if matching fails, the decoders registered in the framework are instantiated in sequence, and the instantiated decoders are used to verify whether the current file can be identified until a successfully matched decoder is found; if no successfully matched decoder is found, the conversion framework does not support the analysis of the loaded file, and the decoder needs to be redeveloped.
And a third step of: parsing a file
Referring to fig. 3, fig. 3 is a log data file parsing flow chart, constructing a well object for storing well information, data object information and data block information in a log data file, reading parsing information by using corresponding interfaces in a successfully matched decoder, and writing the parsing information into the well object;
the data object information includes a curve object, a table object, and a stream object; the curve object stores original curve names, initial depths, end depths, step sizes, dimensional information, data types and conversion marks, and stores modified curve names, initial depths, end depths and step sizes so as to support segment conversion or curve resampling; the table object stores the table type, name, header and table data; the stream object stores a stream object name and a stream data volume;
the data block information stores index information for each curve stored in the log data file.
Fourth step: transfer out of documents
Referring to fig. 4, fig. 4 is a flowchart of creating an output file for an encoder, instantiating the encoder according to a specified rollout format, transmitting analysis information to a conversion interface of the encoder through a well object, creating a disk file according to the rollout format and writing file identification information in the conversion interface, then obtaining data object information to be converted by operating the well object and writing the data object information into the disk file, and finally writing curve data in blocks;
before starting to write curve data, creating a conversion information object for each curve to be converted, storing the current writing index position, the size of a single depth point data block and a reading completion mark by the conversion information object, calling the well object to read the curve data, if the returned depth point is greater than zero, indicating that valid data is read, writing the returned data block into a disk file according to the index position stored in the conversion information object and updating the index position in the conversion information object; if the data block is returned to zero, the read-out mark is set to TRUE, after all curve data in the current block are circularly converted, whether all curves are written out is judged according to the read-out mark in the conversion information object of all curves to be converted, if the curves are written out, the curve data are written out, otherwise, the interface is continuously called to read the next block of data, after the curve data are written out, the disk file is closed, and the conversion is finished.
Referring to fig. 5, fig. 5 is a flow chart of a data reading card reading curve data; in the fourth step, the curve data is read through the reading interface provided by the well object, when the reading interface is called for the first time, the data reading plug-in is instantiated according to the specified plug-in type, if the instantiation fails, the reading interface returns a failure mark to indicate that the curve data cannot be read, and otherwise, the curve data is read through the data reading plug-in. And if the transfer-out file modifies the sampling interval of the original curve, the well object calls the resampling plug-in to resample the data block after reading the curve data block through the data reading plug-in, then returns the resampled depth point number and the data block, and otherwise, directly returns the depth point number and the data block read by the data reading plug-in.
When the well object calls the data reading plug-in through the reading interface, the following initialization operation is needed:
1) Establishing a mapping relation object between the sampling depth and the original data block according to the information (the starting depth and the ending depth) of the curve to be transferred and the data block information;
2) Calculating the total data size of all curves on each depth point according to the data type of each curve, the sampling point number of a single curve on each depth point and the total curve number, calculating the depth point number of each piece of data by combining a set single block data size threshold, and distributing a cache object with a fixed size space for each curve according to the piece depth point number, the data type of the corresponding curve and the single depth sampling point number;
3) The cache object provides a loading mark, a read finishing mark, a current index, a current effective depth point number and a storage space with a fixed size. The loading mark is used for marking whether the object is loaded with data, and judging whether the data block needs to be reloaded according to the loading mark when the cache object is used; the read-out mark is used for marking whether the effective data block is read out or not; the current index is used to flag the depth offset of the data that has been used in the cache; the effective depth point marks the effective data depth point in the buffer space; the size of the buffer space is calculated by step 2).
When the data reading plug-in is called to read data, firstly judging whether the object is loaded with the data, if the object is not loaded and the file is not read completely, reading the partitioned data of all curves according to the partitioned index information and filling the partitioned data into the corresponding curve cache object, otherwise, indicating that the data is read completely;
when original curve data is read according to the mapping relation object, if the read depth range exceeds the actual depth range of the curve, invalid values are automatically filled in the exceeding part.
Examples
Taking Qt as a visual interface development tool, and developing a data conversion module based on the conversion method;
before loading the file, the user can specify the decoder in the interface, otherwise, the decoder is automatically matched according to the suffix name of the file, and if the matching fails, the decoder which is already registered in the software is sequentially matched until the matching is successful; wherein the decoder manager is capable of adjusting the matching priority order of the decoders or setting that part of the decoders do not participate in order matching;
after the decoder is successfully matched, well information, data object information and block information are read, the well information and the data object information are displayed in a main window, a user is supported to modify the well information and curve information (name, starting depth, ending depth and sampling interval), and a corresponding relation configuration function of a table between two format logging files is also provided for the logging files capable of storing table data. The system automatically loads the registered encoders and presents them in a drop down list, based on which the user can convert the loaded log files into files of a different format.
The above is only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited by this, and any modification made on the basis of the technical scheme according to the technical idea of the present invention falls within the protection scope of the claims of the present invention.

Claims (4)

1. A plug-in logging data conversion method, comprising the steps of:
1) The decoder plug-in, the encoder plug-in and the data reading plug-in form a plug-in library;
2) Loading a logging data file to be converted, and matching decoder plug-in until the matching is successful;
3) Reading well information, data object information and data block information in a logging data file by using a successfully matched decoder, and storing the analyzed information into the well object;
the data block information comprises stored index information of curves in a logging data file;
the data object information comprises a curve object, a table object and a stream object;
the curve object comprises an original curve name, an original initial depth, an original end depth, an original step length, original dimension information, an original data type, an original conversion mark and modified corresponding curve information;
the table object comprises a table type, a name, a table header and table data;
the stream object comprises a stream object name and a stream data body;
4) Instantiating an encoder plug-in according to the format to be transferred, and obtaining well information, data object information and data block information by the encoder plug-in through operating the well object to finish writing out the file header and the file body;
the specific operations of the encoder plug-in step 4) to obtain well information, data object information and data block information by operating the well object are:
the encoder plug-in provides a transfer interface taking a well object as a parameter to construct a transfer-out logging data file, and a disk file is firstly created according to a format to be transferred out in the transfer interface and file identification information is written in;
then obtaining the information of the data object to be converted through the operation well object, writing the information into the disk file, and then writing curve data in blocks;
the block write curve data specifically operates as:
creating a conversion information object for each curve to be converted before writing curve data;
the conversion information object comprises a current writing index position, a single depth point data block size and a reading completion mark;
calling a data reading plug-in to read curve data, if the returned depth point number is greater than zero, reading effective data, writing the returned data block into a disk file according to the index position stored in the conversion information object and updating the index position in the conversion information object;
if the returned depth point number is zero, the data block is read completely, and a read-out mark is set as TRUE;
after all curve data in the current block are circularly converted, judging whether the curve is written completely or not according to a read-out mark in a conversion information object of the curve to be converted;
if the writing is finished, the curve data is written;
otherwise, continuing to call the interface to read the next piece of data until the curve data is written;
the data reading plug-in provides a reading interface for reading curve data according to the curve name, and the reading interface returns the read curve depth points and the data memory block;
when the well object invokes the reading interface for the first time, sequentially instantiating the data reading plug-ins according to the specified plug-in types until the instantiation is successful, and reading curve data by using the data reading plug-ins which are successfully instantiated;
the data reading plug-in comprises a block reading plug-in and a frame reading plug-in;
if the transfer-out file modifies the sampling interval of the original curve, the well object calls the resampling plug-in to resample the data block after reading the curve data block through the data reading plug-in, and the resampled depth point number and the resampled data block are returned;
otherwise, directly returning the depth points and the data blocks read by the data reading plug-in;
when the data reading plug-in is called for the first time to read the original logging curve data, the following initialization operation is carried out:
establishing a mapping relation object between the sampling depth and the original data block according to the starting depth, the ending depth and the data block information of the curve to be transferred out;
calculating the total data size of all curves on each depth point according to the data type of each curve, the sampling point number of a single curve on each depth point and the total curve number, calculating the depth point number of each piece of data by combining a set single block data size threshold, and distributing a buffer object with a fixed size space for each curve according to the piece depth point number, the data type of the corresponding curve and the single depth sampling point number;
the cache object provides a loading mark, a read finishing mark, a current index, a current effective depth point number and a storage space with a fixed size;
the loading mark is used for marking whether the object is loaded with data, and judging whether the data block needs to be reloaded according to the mark when the cache object is used;
the read-out mark is used for marking whether the effective data block is read out or not;
the current index is used for marking the depth offset of the data which is already used in the cache;
the valid depth points are used for marking valid data depth points in the cache space.
2. The plug-in logging data conversion method according to claim 1, wherein the specific matching process in step 2) is:
if a decoder plug-in is specified, instantiating the specified decoder;
otherwise, instantiating the decoder plug-in according to the suffix name of the logging data file.
3. The plug-in logging data conversion method of claim 2, wherein instantiating the decoder plug-in from the suffix name of the logging data file comprises:
invoking a matching function of a decoder to verify whether the log data file can be identified by the decoder;
if the identification fails, the decoders are instantiated in turn until the identification is successful.
4. The plug-in logging data conversion method according to claim 1, wherein when the data reading plug-in is called to read data, firstly judging whether the object is loaded with data, if not, and the file is not read completely, reading the block data of all curves according to the block index information and filling the block data into the corresponding curve cache object, otherwise, indicating that the data is read completely;
when original curve data is read according to the mapping relation object, if the read depth range exceeds the actual depth range of the curve, invalid values are filled in the exceeding part.
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