CN111666114A - Plug-in type well logging data conversion method - Google Patents
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Abstract
The invention discloses a plug-in type well logging data conversion method, and belongs to the field of data processing. The well logging data conversion method comprises the steps of utilizing a decoder plug-in to analyze a well logging data file, extracting well information, data object information and data block information in the well logging file, constructing a well object as a carrier of the analyzed information, transmitting the well object into an encoder, realizing the conversion function of the well logging file in the encoder by operating the well object, developing a universal data reading plug-in according to a data storage mode of the well logging file, and realizing the reading function of supporting multiple types of well logging curve data by a single data reading plug-in. The plug-in type well logging data conversion method can rapidly develop the decoder plug-in to realize the analysis of the well logging file with the new format, and can reuse the data to read the plug-in.
Description
Technical Field
The invention relates to the field of data processing, in particular to a plug-in logging data conversion method.
Background
In the oil engineering well logging specialty, due to the difference of the well logging instrument and the processing platform, the well logging data are various in types and various in storage formats, and before the data are used on different platforms, format conversion is often needed to be carried out firstly, so that the platforms can be identified and used.
If a new data format is added, a plurality of special conversion modules need to be developed to analyze the new format and convert the new format into a required format or convert the existing data format into the new format, so that the workload is multiplied.
Disclosure of Invention
The invention aims to overcome the defect that the addition of a data format requires developing a plurality of special conversion modules to analyze the new format, and provides a plug-in well logging data conversion method.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
a plug-in well logging data conversion method comprises the following steps:
1) forming a plug-in library 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 a decoder plug-in until the matching is successful;
3) reading well information, data object information and data block information in the well logging data file by using a successfully matched decoder, and storing the analyzed information into a well object;
the data block information comprises storage index information of the curve in a logging data file;
the data object information includes a curve object, a table object, and a stream object;
the curve object comprises an original curve name, an original starting depth, an original ending 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, wherein the encoder plug-in acquires well information, data object information and data block information through operating the well object to complete the writing-out of the file header and the file body.
Further, the specific process of matching in step 2) is as follows:
instantiating the specified decoder if the decoder plug-in is specified;
otherwise, the decoder plug-in is instantiated 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 as follows:
calling a matching function of a decoder to verify whether the logging data file can be identified by the decoder;
and if the identification fails, sequentially instantiating the decoders until the identification is successful.
Further, the specific operation of the encoder plug-in the step 4) to obtain the well information, the data object information and the data block information by operating the well object is as follows:
the encoder plug-in provides a transfer interface with a well object as a parameter to construct a transferred-out logging data file, and a disk file is created in the transfer interface according to a format to be transferred out and written in file identification information;
and then obtaining the information of the data object to be converted through the operation well object and writing the information into the disk file, and then writing curve data in blocks.
Further, the block write curve data is specifically operative to:
before writing curve data, creating a conversion information object for each curve to be converted;
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 number of returned depth points is greater than zero, reading valid 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 completely read, and the reading completion mark is set to TRUE;
after circularly converting all curve data in the current block, judging whether the curve is completely written according to a reading completion mark in a conversion information object of the curve to be converted;
if the writing is finished, the curve data writing is finished;
otherwise, continuing to call the interface to read the next block of data until the curve data is written in.
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 point number and the data memory block;
when a well object calls a reading interface for the first time, sequentially instantiating data reading plugins according to the specified plugin types until the instantiation succeeds, and reading curve data by using the data reading plugins with successful instantiation;
the data reading plug-in comprises a block reading plug-in and a frame reading plug-in.
Furthermore, if the sampling interval of the original curve is modified by the file to be transferred, the well object calls a resampling plug-in to resample the data block after reading the curve data block through the data reading plug-in, and returns the depth point number and the data block after resampling;
otherwise, directly returning the depth point number and the data block 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 operations are carried out:
establishing a mapping relation object between the sampling depth and the original data block according to the initial depth and the end depth of the curve to be transferred and the data block information;
calculating the total data quantity of all curves at each depth point according to the data type of each curve, the sampling point number of a single curve at each depth point and the total curve number, calculating the depth point number of each block data by combining a set single-block data size threshold value, and distributing a cache object with a fixed space for each curve according to the block 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 reading completion mark, a current index, a current effective depth point and a fixed-size storage space;
the loading mark is used for marking whether the object is loaded with data or not, and when the cache object is used, whether the data block needs to be reloaded or not is judged according to the mark;
the reading completion mark is used for marking whether the effective data block is completely read or not;
the current index is used for marking the data depth offset which is used in the cache;
the effective depth point numbers mark effective data depth point numbers in the cache space.
Furthermore, when the data reading plug-in is called to read data, whether the object is loaded with the data or not is judged, if the object is not loaded and the file is not completely read, the block data of all curves is read according to the block index information and is filled into the corresponding curve cache object, and if the object is not loaded and the file is not completely read, the data is read;
and when the original curve data is read according to the mapping relation object, if the read depth range exceeds the actual depth range of the curve, filling invalid values in the exceeding part. Compared with the prior art, the invention has the following beneficial effects:
the plug-in type well logging data conversion method of the invention utilizes a decoder plug-in to realize the analysis of a well logging data file, extracts well information, data object information and data block information in the well logging file, constructs a well object as a carrier of the analysis information, transmits the well object into an encoder, realizes the conversion function of the well logging file by operating the well object in the encoder, can multiplex corresponding data reading plug-ins according to the different data storage modes of the well logging file, and realizes that a single data reading plug-in supports the reading function of multiple types of well logging curve data; the plug-in type well logging data conversion method can rapidly develop a decoder plug-in to realize the analysis of the well logging file with the new format, or develop an encoder plug-in to realize the export of the well logging file with the new format, and can reuse the data to read the plug-in. The independent design of the encoder and the decoder enables the analysis and the output of the logging data file to be completely isolated, when a new format exists, only a new decoder or the encoder needs to be developed to the plug-in library, the corresponding data reading plug-in is matched, and the well object is used as a carrier, so that the logging data can be converted from one format to another format.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a decoder matching flow diagram;
FIG. 3 is a flow chart of well log data file parsing;
FIG. 4 is a flow chart of an encoder creating an output file;
FIG. 5 is a flow chart of the data reading plug-in reading curve data.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or 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 accompanying drawings:
referring to fig. 1, fig. 1 is a flow chart of the present invention, which specifically includes 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 performing matching detection by using a decoder in the plug-in library to find a successfully matched decoder;
3) reading well information, data object information and data block information in a well logging data file by using a successfully matched decoder, constructing a well object, and storing analyzed information into the well object;
4) and instantiating an encoder according to the format to be transferred, wherein the encoder provides an interface with the well object as a parameter, and well information, data object information and data blocks are obtained in the interface through operating the well object to complete the writing-out function of the file header and the file body.
The first step is as follows: developing relevant 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 one is a decoder matching interface, which is used for reading the relevant marks in the logging data file and carrying out matching judgment with the current decoder; the second is a well information analysis interface used for reading the well information in the logging data file; the third is a logging data object analysis interface used for reading curve information, table data and stream data in the logging data file; and the fourth is a data block information analysis interface used for reading the information of the logging curve data block. The encoder plug-in provides a switching interface with the well object as a parameter, and is used for constructing a switching-out logging file, and well information, data object information and curve data are obtained through operating the well object in the switching interface. The data reading plug-in provides a reading interface which takes the curve name as a parameter and is used for reading the curve data in the original logging file.
The second step is that: matching decoder
Referring to fig. 2, fig. 2 is a decoder matching flow chart, when a file is loaded, if a decoder is designated, the designated decoder is instantiated, otherwise, the decoder is instantiated according to a file suffix, a matching function of the decoder is called to verify whether a current file can be identified by the decoder, if matching fails, the decoders registered in a framework are sequentially instantiated, and the instantiated decoders are used to verify whether the current file can be identified until a successfully matched decoder is found; if a successfully matched decoder is not found, it indicates that the conversion framework does not support the parsing of the loaded file yet, and the decoder needs to be re-developed.
The third step: parsing a file
Referring to fig. 3, fig. 3 is a well logging data file parsing flowchart, a well object is constructed for storing well information, data object information and data block information in a well logging data file, and parsing information is read and written into the well object by using a corresponding interface in a successfully matched decoder;
the data object information includes a curve object, a table object, and a stream object; the curve object stores the original curve name, the initial depth, the end depth, the step length, the dimension information, the data type and the conversion mark, and simultaneously stores the modified curve name, the initial depth, the end depth and the step length to support the sectional conversion or the curve resampling; the table object stores the table type, name, table header and table data; the stream object stores a stream object name and a stream data body;
the data block information stores the storage index information of each curve in the logging data file.
The fourth step: roll-out document
Referring to fig. 4, fig. 4 is a flow chart of an encoder creating output file, instantiating the encoder according to a specified roll-out format, transmitting analysis information to a conversion interface of the encoder through a well object, first creating a disk file according to the roll-out format in the conversion interface and writing file identification information, then obtaining information of a data object to be converted through an operation well object and writing the data object information into the disk file, and finally writing curve data in blocks;
before curve data writing is started, a conversion information object is created for each curve to be converted, the conversion information object stores the current writing index position, the size of a single-depth point data block and a reading completion mark, a well object is called to read curve data, if the number of returned depth points is larger than zero, effective data are read, at the moment, the returned data blocks are written into a disk file according to the index positions stored in the conversion information object, and the index positions in the conversion information object are updated; if the curve data are returned to zero, the data blocks are read completely, the reading completion mark is set to TRUE, after all curve data in the current sub-block are circularly converted, whether all curves are written completely is judged according to the reading completion marks in the conversion information objects of all curves to be converted, if the curves are written completely, the curve data are written completely, otherwise, the interface is continuously called to read the next block of data, after the curve data are written completely, the disk file is closed, and the conversion is completed.
Referring to fig. 5, fig. 5 is a flow chart of the data reading plug-in reading curve data; and in the fourth step, reading curve data through a reading interface provided by the well object, instantiating the data reading plug-in according to the specified plug-in type when calling the reading interface for the first time, if the instantiation fails, returning a failure mark by the reading interface to indicate that the curve data cannot be read, and otherwise, reading the curve data by using the data reading plug-in. If the sampling interval of the original curve is modified by the file to be transferred, 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 then returns the depth point number and the data block after resampling, 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 operations are required to be carried out:
1) establishing a mapping relation object between the sampling depth and the original data block according to the information (the initial depth and the end depth) of the curve to be transferred and the data block information;
2) calculating the total data quantity of all curves at each depth point according to the data type of each curve, the sampling point number of a single curve at each depth point and the total curve number, calculating the depth point number of each block data by combining a set single-block data size threshold value, and distributing a cache object with a fixed space for each curve according to the block depth point number, the data type of the corresponding curve and the single-depth sampling point number;
3) the cache object provides a load mark, a read completion mark, a current index, a current effective depth point and a fixed-size storage space. The loading mark is used for marking whether the object is loaded with data or not, and when the cache object is used, whether the data block needs to be reloaded or not is judged according to the loading mark; the reading completion mark is used for marking whether the effective data block is completely read or not; the current index is used to mark the data depth offset that has been used in the cache; the effective depth point marks effective data depth points in the cache space; the size of the buffer space is calculated by step 2).
When the data reading plug-in is called to read data, firstly, whether the data are loaded into the object or not is judged, if the data are not loaded and the file is not completely read, the block data of all curves are read according to the block index information and are filled into the corresponding curve cache object, and if the data are not completely read, the data are read;
and when the original curve data is read according to the mapping relation object, if the read depth range exceeds the actual depth range of the curve, automatically filling invalid values in the exceeding part.
Examples
Qt is used as a visual interface development tool, and a data conversion module is developed based on the conversion method;
before loading the file, the user can designate a decoder in the interface, otherwise, the decoder is automatically matched according to the suffix name of the file, and if the matching fails, the decoders registered in the software are sequentially matched until the matching is successful; wherein, the decoder manager can adjust the matching priority order of the decoders, or set part of the decoders not to participate in the 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 function of configuring the corresponding relation of the table between the two formats of logging files is provided for the logging files capable of storing the table data. The system automatically loads the registered encoders and presents them in a drop down list manner upon which the user can convert the loaded logging files into files of different formats.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (9)
1. A plug-in well logging data conversion method is characterized by comprising the following steps:
1) forming a plug-in library 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 a decoder plug-in until the matching is successful;
3) reading well information, data object information and data block information in the well logging data file by using a successfully matched decoder, and storing the analyzed information into a well object;
the data block information comprises storage index information of the curve in a logging data file;
the data object information includes a curve object, a table object, and a stream object;
the curve object comprises an original curve name, an original starting depth, an original ending 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, wherein the encoder plug-in acquires well information, data object information and data block information through operating the well object to complete the writing-out of the file header and the file body.
2. The plug-in well logging data conversion method according to claim 1, wherein the specific process of matching in step 2) is as follows:
instantiating the specified decoder if the decoder plug-in is specified;
otherwise, the decoder plug-in is instantiated according to the suffix name of the logging data file.
3. The plug-in logging data conversion method according to claim 2, wherein the process of instantiating the decoder plug-in according to the suffix name of the logging data file is as follows:
calling a matching function of a decoder to verify whether the logging data file can be identified by the decoder;
and if the identification fails, sequentially instantiating the decoders until the identification is successful.
4. The plug-in well logging data conversion method according to claim 1, wherein the encoder plug-in step 4) obtains well information, data object information and data block information by operating the well object by the specific operations of:
the encoder plug-in provides a transfer interface with a well object as a parameter to construct a transferred-out logging data file, and a disk file is created in the transfer interface according to a format to be transferred out and written in file identification information;
and then obtaining the information of the data object to be converted through the operation well object and writing the information into the disk file, and then writing curve data in blocks.
5. The plug-in well logging data conversion method of claim 4, wherein the block-wise writing of profile data is specifically operative to:
before writing curve data, creating a conversion information object for each curve to be converted;
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 number of returned depth points is greater than zero, reading valid 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 completely read, and the reading completion mark is set to TRUE;
after circularly converting all curve data in the current block, judging whether the curve is completely written according to a reading completion mark in a conversion information object of the curve to be converted;
if the writing is finished, the curve data writing is finished;
otherwise, continuing to call the interface to read the next block of data until the curve data is written in.
6. The plug-in well logging data conversion method according to claim 5, wherein the data reading plug-in provides a reading interface for reading curve data according to a curve name, and the reading interface returns read curve depth point numbers and a data memory block;
when a well object calls a reading interface for the first time, sequentially instantiating data reading plugins according to the specified plugin types until the instantiation succeeds, and reading curve data by using the data reading plugins with successful instantiation;
the data reading plug-in comprises a block reading plug-in and a frame reading plug-in.
7. The plug-in logging data conversion method according to claim 6, wherein if the sample interval of the original curve is modified by the roll-out file, after the well object reads the curve data block through the data reading plug-in, the resampling plug-in is called to resample the data block, and the depth points and the data block after resampling are returned;
otherwise, directly returning the depth point number and the data block read by the data reading plug-in.
8. The plug-in well logging data conversion method according to claim 7, wherein the following initialization operations are performed when the data reading plug-in is called for the first time to read the original well logging curve data:
establishing a mapping relation object between the sampling depth and the original data block according to the initial depth and the end depth of the curve to be transferred and the data block information;
calculating the total data quantity of all curves at each depth point according to the data type of each curve, the sampling point number of a single curve at each depth point and the total curve number, calculating the depth point number of each block data by combining a set single-block data size threshold value, and distributing a cache object with a fixed space for each curve according to the block 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 reading completion mark, a current index, a current effective depth point and a fixed-size storage space;
the loading mark is used for marking whether the object is loaded with data or not, and when the cache object is used, whether the data block needs to be reloaded or not is judged according to the mark;
the reading completion mark is used for marking whether the effective data block is completely read or not;
the current index is used for marking the data depth offset which is used in the cache;
the effective depth point numbers mark effective data depth point numbers in the cache space.
9. The plug-in logging data conversion method according to claim 8, wherein when the data reading plug-in is called to read data, it is first determined whether the object has already loaded the data, if not, and the file has not been completely read, the block data of all curves is read according to the block index information and filled into the corresponding curve cache object, otherwise, the data is read completely;
and when the original curve data is read according to the mapping relation object, if the read depth range exceeds the actual depth range of the curve, filling invalid values in the exceeding part.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112612935A (en) * | 2020-12-16 | 2021-04-06 | 浙大城市学院 | Complete logging data acquisition method based on self-reasoning model |
| CN112861508A (en) * | 2021-01-12 | 2021-05-28 | 中国石油天然气集团有限公司 | Standardization method and system for logging discrete data |
| CN114764326A (en) * | 2022-03-30 | 2022-07-19 | 中国石油天然气集团有限公司 | Data layer extension method and system of integrated software |
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| CN112612935B (en) * | 2020-12-16 | 2022-03-29 | 浙大城市学院 | Complete logging data acquisition method based on self-reasoning model |
| CN112861508A (en) * | 2021-01-12 | 2021-05-28 | 中国石油天然气集团有限公司 | Standardization method and system for logging discrete data |
| CN114764326A (en) * | 2022-03-30 | 2022-07-19 | 中国石油天然气集团有限公司 | Data layer extension method and system of integrated software |
| CN114764326B (en) * | 2022-03-30 | 2023-09-19 | 中国石油天然气集团有限公司 | Data layer expansion method and system of integrated software |
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| CN111666114B (en) | 2023-08-22 |
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