CN116303285A - Logging data interaction processing method and system based on HDLog - Google Patents
Logging data interaction processing method and system based on HDLog Download PDFInfo
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Abstract
The invention provides a logging data interaction processing method and system based on HDLog, wherein the method comprises the following steps: preprocessing logging data, and adopting a CCL logging depth cable magnetic mark calibration method to realize automatic depth calibration and generate a logging curve data file; editing the log data file; the system comprises: automatic depth correction module: the method is used for preprocessing logging data, realizing automatic depth correction by adopting a CCL logging depth cable magnetic mark calibration method, and generating a logging curve data file; a file editing module: and the file editing device is used for editing the log data file. According to the invention, by preprocessing logging data, automatic depth correction is performed according to the position of the casing collar; and the file editing function is enhanced, a plurality of logging files with different depths and different sampling rates of the same well can be combined and spliced, and the processing and interpretation efficiency of logging data is improved.
Description
Technical Field
The invention relates to the technical field of logging, in particular to a logging data interaction processing method and system based on HDLog.
Background
Two types of data need to be acquired during logging: well logging data and depth data, and the well logging data and the depth data establish a precise corresponding relation to acquire more precise and reliable stratum information. Thus, depth correction of the log data is the first step in processing and interpreting the log data.
The factors influencing the depth in the depth correction process are many, and the depth correction can be divided into 3 types of cables, acceleration and relative depth correction according to different influencing factors, wherein the automatic correction accuracy of the relative depth is particularly important when processing multi-pass logging data of the same well; the casing is drilled, and the accurate position of gamma or short casing and the length of casing collar can be used for carrying out depth correction on the position of a target layer.
In the actual logging process, logging operations often need to be performed for multiple times on the same well, and the depth range of each logging operation is not necessarily the same. And finally, the multi-file logging curves are the same in category and different in depth in the data processing, so that the multi-file integral depth combination-splicing and unified mapping are required. When logging in wells for different times, due to different logging projects, the types of used instruments are different, GR curve depth correction is needed for multiple files of different types when uploading data, then local deep merging-splicing of the multiple files is carried out, and finally unified mapping is carried out. File editing therefore occupies a very important place in log interpretation.
However, the traditional legacy software has the following problems for logging data of different depth segments or different sampling rates:
1. the depth processing (including translation, extension and compression) of cable data in the post-measurement module is segmented processing, and can not automatically carry out depth correction on the whole data, if the depth range is too large, the processing process can be complicated, so that time and labor are wasted, and market competitiveness is not achieved.
2. The single file in the post-measurement module does not contain curve adding, deleting, renaming and resampling operations during editing, but is only arranged before real-time well measurement and playback well measurement, so that the operation of post-measurement operators is not flexible and convenient.
3. The splicing and merging of curves in the multi-file editing process in the post-measurement module are processed separately and do not support file processing at different sampling rates.
Therefore, the traditional old version software is not suitable for the current logging practice because a great amount of early conversion processing operations are additionally added to operators for processing logging data of different depth sections or different sampling rates, the workload of operators is increased, and the data interference is also increased by multiple conversion processes.
Disclosure of Invention
In view of the above, the invention aims to provide an HDLog-based logging data interactive processing method, which realizes one-time automatic sectional depth correction of all-well logging data, enhances the operation functions of curve merging-splicing and the like of file editing, and provides technical support for processing and explaining logging data more conveniently.
The invention provides a logging data interaction processing method based on HDLog, which comprises the following steps:
s1, preprocessing logging data, and adopting a CCL logging depth cable magnetic mark calibration method (cable depth instrument depth mark calibration method) to realize automatic depth calibration and generate a logging curve data file;
when the well has no well completion data, the depth is usually corrected by the position of the short sleeve and the depth of each sleeve, and the operation method realized from software is as follows: inputting the data of the casing table of the well, and automatically realizing the effect of depth correction;
s2, performing file editing on the logging curve data file.
Further, the method for realizing automatic depth correction by adopting the CCL logging depth cable magnetic mark calibration method in the step S1 comprises the following steps:
s11, generating a standard CCL curve according to the sleeve table data;
the CCL curve generation principle is as follows: the CCL curve reflects the magnitude of the magnetic flux in the well, and the thicker the well wall, the larger the magnetic flux and the higher the CCL value. The wall thickness of the casing at the casing collar location is 2 times that of the other depth segments, so the CCL curve will have a sharp maximum at the casing collar location.
S12, taking the standard CCL curve as a reference curve, taking the measured CCL curve as a relative depth correction curve, and comparing the relative positions of the base curve and each effective casing collar of the relative depth correction curve;
in the actual well logging process, due to too many interference factors, the extraction of the coupling position of the CCL cable calibration instrument is possibly lost or increased, so that the positions and the number of drawn depth correction lines are not matched with those of the actual coupling, and the positions of the depth correction lines are directly increased, deleted and modified on a well logging diagram through a mouse, so that the rationality and the authenticity of the depth correction lines can be ensured more accurately;
s13, measuring CCL curves of the whole well section, and performing one-time automatic sectional deep correction on the well logging data of the whole well section.
The method is very important for storage well cementation with larger depth error of the storage well logging and later-stage deep treatment. Because it is itself a cased well, the CCL log may be used for depth correction.
Legacy software implements depth correction as follows: firstly, generating a standard CCL curve by importing sleeve data; and then taking a standard CCL curve as a background in a well logging diagram, and manually segmenting the standard CCL curve and the measured CCL curve by an operator for deep translation, extension or compression, wherein the processing mode is time-consuming and labor-consuming, meanwhile, the stretching compression times of curve data materials are too high, and forgetting to stretch a VDL acoustic variable density well logging curve (1-dimensional and 2-dimensional curves cannot be stretched and compressed at the same time) can also occur frequently, so that the CCL curve and the VDL curve have poor correspondence.
After the CCL logging depth cable magnetic mark calibration method is used for automatic depth calibration, the operation is convenient, the sleeves are used as depth calibration units, the depth calibration in each sleeve is independent, different telescopic processing modes can be adopted, and the whole section of data can be automatically calibrated at one time; meanwhile, the interactive editing function of the mouse is added, so that the depth correction operation is more accurate.
Further, the file editing in the step S2 includes two types: single file editing and multiple file editing.
Further, the operation items of the single file editing include: one or more of copying, deleting, renaming, resampling.
Further, the multi-file editing includes:
and merging and splicing different file data.
Further, the method for editing the single file comprises the following steps:
opening a logging curve data file, selecting one or more curve objects in the logging curve data file, and then selecting corresponding operation items for processing;
the renaming and resampling are performed by setting corresponding new curve names, new curve units and new curve sampling rate parameters.
Further, when the multi-file editing is performed, the original file and the target file are involved, and the curve data in the original file are combined or spliced into the target file, and the operation method for realizing the multi-file editing specifically comprises the following steps:
s21, firstly, opening a logging curve data file to set as a target file;
s22, opening another log curve data file to set the log curve data file as an original file;
s23, selecting one or more curve objects to be combined or spliced in the original file according to the requirements, and if the original file and the target file both contain the selected curve objects, performing curve splicing operation; otherwise, performing curve merging operation, namely curve copying operation;
s24, setting a depth range of curve merging or splicing, wherein a superposition section exists between the depth range and the depth of the curve of the target file;
s25, performing one-time curve merging or splicing treatment.
The multi-file editing method has the following advantages:
the merging and splicing operations can be performed simultaneously;
the merging-splicing curve and depth range can be selected by oneself;
files of different sampling rates can be merged-spliced.
The invention also provides a logging data interaction processing system based on the HDLog, which executes the logging data interaction processing method based on the HDLog, and comprises the following steps:
automatic depth correction module: the method is used for preprocessing logging data, realizing automatic depth correction by adopting a CCL logging depth cable magnetic mark calibration method, and generating a logging curve data file;
a file editing module: and the file editing device is used for editing the log data file.
The invention also provides a computer readable storage medium, on which a computer program is stored, which when being executed by a processor, implements the steps of the log-based log data interaction processing method and the log-based log data interaction processing system described above.
The invention also provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the log-based log data interaction processing method and the log-based log data interaction processing system when executing the program.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, by preprocessing logging data, automatic depth correction is performed according to the position of the casing collar; and the file editing function is enhanced, a plurality of logging files with different depths and different sampling rates of the same well can be combined and spliced, and the processing and interpretation efficiency of logging data is improved.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention.
In the drawings:
FIG. 1 is a flow chart of a log-based logging data interactive processing method of the invention;
FIG. 2 is a schematic diagram of a computer device according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for implementing automatic depth correction by using a CCL logging depth cable magnetic mark calibration method according to an embodiment of the invention;
FIG. 4 is a flowchart of an operation method of multi-file editing according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a process flow of depth log data according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of a process flow for automatic deep calibration of a CCL according to an embodiment of the present invention;
FIG. 7 is a graph showing CCL values of a CCL curve at a casing collar location according to an embodiment of the present invention;
FIG. 8 is a diagram of an actual interface for performing a depth correction operation by mouse interactive editing according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of operation items for editing a single file according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and products consistent with some aspects of the disclosure as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
It should be understood that although the terms first, second, third, etc. may be used in this disclosure to describe various information, these information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context.
Embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
The embodiment of the invention provides a logging data interaction processing method based on HDLog, which is shown in FIG. 1 and comprises the following steps:
s1, preprocessing logging data, and adopting a CCL logging depth cable magnetic mark calibration method (cable depth instrument depth mark calibration method) to realize automatic depth calibration and generate a logging curve data file;
when the well has no well completion data, the depth is usually corrected by the position of the short sleeve and the depth of each sleeve, and the operation method realized from software is as follows: inputting the data of the casing table of the well, and automatically realizing the effect of depth correction;
the method for realizing automatic depth correction by adopting the CCL logging depth cable magnetic mark calibration method is shown in fig. 3, and comprises the following steps:
s11, generating a standard CCL curve according to the sleeve table data;
the CCL curve generation principle is as follows: the CCL curve reflects the magnitude of the magnetic flux in the well, and the thicker the well wall, the larger the magnetic flux and the higher the CCL value. The wall thickness of the casing at the casing collar location is 2 times that of the other depth segments, so the CCL curve will have a sharp maximum at the casing collar location, as shown in fig. 7.
S12, taking the standard CCL curve as a reference curve, taking the measured CCL curve as a relative depth correction curve, and comparing the relative positions of the base curve and each effective casing collar of the relative depth correction curve;
in the actual well logging process, due to too many interference factors, the extraction of the coupling position of the CCL cable calibration instrument is possibly lost or increased, so that the positions and the number of drawn depth correction lines are not matched with those of the actual coupling, and the positions of the depth correction lines are directly increased, deleted and modified on a well logging diagram through a mouse, so that the rationality and the authenticity of the depth correction lines can be ensured more accurately;
s13, measuring CCL curves of the whole well section, and performing one-time automatic sectional deep correction on the well logging data of the whole well section.
The method is very important for storage well cementation with larger depth error of the storage well logging and later-stage deep treatment. Because it is itself a cased well, the CCL log may be used for depth correction.
Legacy software implements depth correction as follows: firstly, generating a standard CCL curve by importing sleeve data; and then taking a standard CCL curve as a background in a well logging diagram, and manually segmenting the standard CCL curve and the measured CCL curve by an operator for deep translation, extension or compression, wherein the processing mode is time-consuming and labor-consuming, meanwhile, the stretching compression times of curve data materials are too high, and forgetting to stretch a VDL acoustic variable density well logging curve (1-dimensional and 2-dimensional curves cannot be stretched and compressed at the same time) can also occur frequently, so that the CCL curve and the VDL curve have poor correspondence.
After the CCL logging depth cable magnetic mark calibration method is used for automatic depth calibration, the operation is convenient, the sleeves are used as depth calibration units, the depth calibration in each sleeve is independent, different telescopic processing modes can be adopted, and the whole section of data can be automatically calibrated at one time; meanwhile, the mouse interaction editing function is added, and the depth correction operation is more accurate as shown in FIG. 8;
referring to FIG. 6, a process flow of automatic deep calibration of the CCL in the present embodiment is shown;
s2, performing file editing on the logging curve data file.
The file edits include two types: single file editing and multiple file editing.
Referring to fig. 9, the operation items of the single file editing include: one or more of copying, deleting, renaming, resampling.
The multi-file editing includes:
and merging and splicing different file data.
The method for editing the single file comprises the following steps:
opening a logging curve data file, selecting one or more curve objects in the logging curve data file, and then selecting corresponding operation items for processing;
the renaming and resampling are performed by setting corresponding new curve names, new curve units and new curve sampling rate parameters.
The multi-file editing involves an original file and a target file, and is implemented by merging or splicing curve data in the original file into the target file, as shown in fig. 4, and includes the following steps:
s21, firstly, opening a logging curve data file to set as a target file;
s22, opening another log curve data file to set the log curve data file as an original file;
s23, selecting one or more curve objects to be combined or spliced in the original file according to the requirements, and if the original file and the target file both contain the selected curve objects, performing curve splicing operation; otherwise, performing curve merging operation, namely curve copying operation;
s24, setting a depth range of curve merging or splicing, wherein a superposition section exists between the depth range and the depth of the curve of the target file;
s25, performing one-time curve merging or splicing treatment.
The multi-file editing method provided by the embodiment of the invention has the following advantages:
the merging and splicing operations can be performed simultaneously;
the merging-splicing curve and depth range can be selected by oneself;
files of different sampling rates can be merged-spliced.
Referring to fig. 5, a process flow of the depth logging data in the present embodiment is shown.
The embodiment of the invention also provides a logging data interaction processing system based on the HDLog, which executes the logging data interaction processing method based on the HDLog, and comprises the following steps:
automatic depth correction module: the method is used for preprocessing logging data, realizing automatic depth correction by adopting a CCL logging depth cable magnetic mark calibration method, and generating a logging curve data file;
a file editing module: and the file editing device is used for editing the log data file.
According to the embodiment of the invention, the logging data is preprocessed, and automatic depth correction is carried out according to the position of the casing collar; and the file editing function is enhanced, a plurality of logging files with different depths and different sampling rates of the same well can be combined and spliced, and the processing and interpretation efficiency of logging data is improved.
The embodiment of the invention also provides a computer device, and fig. 2 is a schematic structural diagram of the computer device provided by the embodiment of the invention; referring to fig. 2 of the drawings, the computer apparatus includes: input means 23, output means 24, memory 22 and processor 21; the memory 22 is configured to store one or more programs; when the one or more programs are executed by the one or more processors 21, the one or more processors 21 implement the HDLog-based logging data interaction processing method as provided in the above embodiments; wherein the input device 23, the output device 24, the memory 22 and the processor 21 may be connected by a bus or otherwise, for example in fig. 2 by a bus connection.
The memory 22 is used as a readable storage medium of a computing device and can be used for storing a software program and a computer executable program, and the program instructions corresponding to the log-based logging data interaction processing method according to the embodiment of the invention; the memory 22 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for functions; the storage data area may store data created according to the use of the device, etc.; in addition, memory 22 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device; in some examples, memory 22 may further comprise memory located remotely from processor 21, which may be connected to the device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 23 is operable to receive input numeric or character information and to generate key signal inputs relating to user settings and function control of the device; the output device 24 may include a display device such as a display screen.
The processor 21 executes various functional applications of the apparatus and data processing by running software programs, instructions and modules stored in the memory 22, i.e. implements the above-mentioned log-based logging data interactive processing method.
The computer equipment provided by the embodiment can be used for executing the logging data interaction processing method based on the HDLog, and has corresponding functions and beneficial effects.
Embodiments of the present invention also provide a storage medium containing computer executable instructions, which when executed by a computer processor, are for performing the HDLog-based logging data interaction processing method as provided in the above embodiments, the storage medium being any of various types of memory devices or storage devices, the storage medium comprising: mounting media such as CD-ROM, floppy disk or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, lanbas (Rambus) RAM, etc.; nonvolatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc.; the storage medium may also include other types of memory or combinations thereof; in addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a second, different computer system, the second computer system being connected to the first computer system through a network (such as the internet); the second computer system may provide program instructions to the first computer for execution. Storage media includes two or more storage media that may reside in different locations (e.g., in different computer systems connected by a network). The storage medium may store program instructions (e.g., embodied as a computer program) executable by one or more processors.
Of course, the storage medium containing the computer executable instructions provided by the embodiment of the present invention is not limited to the log-based logging data interaction processing method described in the foregoing embodiment, and may also perform the related operations in the log-based logging data interaction processing method provided by any embodiment of the present invention.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The logging data interaction processing method based on the HDLog is characterized by comprising the following steps of:
s1, preprocessing logging data, and adopting a CCL logging depth cable magnetic mark calibration method to realize automatic depth calibration and generate a logging curve data file;
s2, performing file editing on the logging curve data file.
2. The HDLog-based logging data interactive processing method of claim 1, wherein the method for implementing automatic depth correction by using the CCL logging depth cable magnetic mark calibration method in step S1 includes the following steps:
s11, generating a standard CCL curve according to the sleeve table data;
s12, taking the standard CCL curve as a reference curve, taking the measured CCL curve as a relative depth correction curve, and comparing the relative positions of the base curve and each effective casing collar of the relative depth correction curve;
s13, measuring CCL curves of the whole well section, and performing one-time automatic sectional deep correction on the well logging data of the whole well section.
3. The HDLog-based logging data interactive processing method of claim 2, wherein the file editing of step S2 includes two types: single file editing and multiple file editing.
4. The HDLog-based logging data interactive processing method of claim 3, wherein the operation items for single file editing include: one or more of copying, deleting, renaming, resampling.
5. The HDLog-based logging data interactive processing method of claim 3, wherein the operation of multi-file editing includes:
and merging and splicing different file data.
6. The HDLog-based logging data interactive processing method according to claim 3 or 4, wherein the method for editing the single file includes:
opening a logging curve data file, selecting one or more curve objects in the logging curve data file, and then selecting corresponding operation items for processing;
the renaming and resampling are performed by setting corresponding new curve names, new curve units and new curve sampling rate parameters.
7. The HDLog-based logging data interactive processing method according to claim 3 or 5, wherein the method of multi-file editing comprises the steps of:
s21, firstly, opening a logging curve data file to set as a target file;
s22, opening another log curve data file to set the log curve data file as an original file;
s23, selecting one or more curve objects to be combined or spliced in the original file according to the requirements, and if the original file and the target file both contain the selected curve objects, performing curve splicing operation; otherwise, carrying out curve merging operation;
s24, setting a depth range of curve merging or splicing, wherein a superposition section exists between the depth range and the depth of the curve of the target file;
s25, performing one-time curve merging or splicing treatment.
8. An HDLog-based logging data interaction processing system, wherein the HDLog-based logging data interaction processing method according to any one of claims 1 to 7 is performed, and includes:
automatic depth correction module: the method is used for preprocessing logging data, realizing automatic depth correction by adopting a CCL logging depth cable magnetic mark calibration method, and generating a logging curve data file;
a file editing module: and the file editing device is used for editing the log data file.
9. A computer-readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the steps of the HDLog-based logging data interaction processing method of any one of claims 1 to 7, and the HDLog-based logging data interaction processing system of claim 8.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements the steps of the HDLog-based logging data interaction processing method of any one of claims 1 to 7 and the HDLog-based logging data interaction processing system of claim 8.
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