Reservoir feature data association method, system and equipment based on document and medium

Abstract

The invention discloses a document-based reservoir feature data association method, system and equipment and a medium, and belongs to the technical field of intelligent oil and gas reservoir development. Key information in a research achievement document can be quickly and accurately identified by performing format conversion and analysis processing on the research achievement document; the result pictures are displayed according to the original sequence of the research result documents, the orderliness of the information can be ensured, and finally, single well information and horizon information obtained through analysis are associated with reservoir feature data, so that data association between the documents and the reservoir feature data is completed; by adopting the method, the data can be accurately and quickly associated, a one-stop window service is provided for a user, the working efficiency of researchers is greatly improved, data integrated application is realized, data resource utilization of data driven application is changed from capitalized management, and the data resource utilization rate is increased. An oil and gas reservoir research and decision-making mode with data as the center and data service as the main line is constructed, and a data foundation is laid for intelligent oil and gas reservoirs.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent oil and gas reservoir development, and in particular relates to a document-based reservoir characteristic data association method, system, equipment and medium. Background Art

[0002] With the transformation and development of digital oil and gas fields, the amount of oil and gas exploration and development data continues to grow. Countless oil and gas exploration and development data are stored in different software platforms, but there is a lack of integration and interaction between the platforms, and the data cannot be displayed in a centralized manner. As a result, researchers need to switch platforms back and forth to view data during analysis, which greatly reduces work efficiency.

[0003] The documents of oil and gas reservoir research results integrate complex single well information, including key information such as well number, layer, logging interpretation results map, etc. However, traditional document recognition technology often cannot guarantee its rapid recognition and extraction, especially for complex information such as special symbols, pictures and charts in logging interpretation results map. It is urgent to invent a document-based reservoir feature data association method to quickly and accurately identify key information in the results document. Summary of the invention

[0004] In order to overcome the shortcomings of the above-mentioned technology, the present invention provides a document-based reservoir characteristic data association method, system, equipment and medium, which can solve the technical problem in the prior art that it is difficult to effectively associate reservoir characteristic data due to poor recognition of complex information in the logging interpretation results diagram.

[0005] In order to achieve the above object, the present invention adopts the following technical solution:

[0006] A document-based reservoir characteristic data association method, comprising:

[0007] S1: Convert and parse the research results documents, and output results pictures, single well information and layer information;

[0008] S2: Display the output results images according to the original order of the research results document and annotate the corresponding layer information;

[0009] S3: Associating the output single well information and layer information with the reservoir characteristic data to complete data association.

[0010] Furthermore, in S1, the specific steps of converting the format of the research results document are as follows:

[0011] Get the card document of the four-property relationship of the target well, use Aspose.Slides to read the card document and render each page of the card document to output the result image.

[0012] Furthermore, during the rendering process, for a card document containing animation effects, it is split into multiple images, and the multiple images are sorted, saved and output according to the animation sequence.

[0013] Furthermore, in S1, the specific steps of parsing the research results document are:

[0014] In the process of converting the research results document format, the layer keywords in the research results document are parsed to obtain the single well information, and the corresponding layer information is matched according to the layer keywords and the formation code table.

[0015] Furthermore, the specific steps of S2 are:

[0016] The research results images are obtained from the distributed storage, and the research results images are displayed online in the original order of the research results documents. At the same time, the corresponding layer information is marked for each research result image.

[0017] Further, in S3, the reservoir characteristic data includes a single well data set, four property relationships, core photos, and casting thin sections; the specific steps of S3 are:

[0018] According to the single well information, the single well data sets are associated; according to the stratigraphic information, the four-property relationships, core photos and casting thin sections are associated.

[0019] Furthermore, the above-mentioned single well data set includes well logging blueprint, oil and gas testing geological design, oil testing daily report and well completion report.

[0020] A document-based reservoir characteristic data association system, used to implement the steps of the document-based reservoir characteristic data association method, comprising:

[0021] The conversion and analysis module is used to convert the format and parse the research results documents, and output the results pictures, single well information and layer information;

[0022] The display and annotation module is used to display the output results images according to the original order of the research results documents and annotate the corresponding layer information;

[0023] The data association module is used to associate the output single well information and layer information with the reservoir characteristic data to complete the data association.

[0024] A device comprising:

[0025] Memory for storing computer programs;

[0026] A processor is used to implement the steps of the above-mentioned document-based reservoir characteristic data association method when executing the computer program.

[0027] A computer-readable storage medium stores a computer program, which is used to implement the steps of the document-based reservoir characteristic data association method when executed by a processor.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] The present invention provides a document-based reservoir characteristic data association method. The present invention converts the format of the research result document and performs parsing processing, which can quickly and accurately identify key information in the result document, and displays the result image formed by the conversion according to the original order of the research result document, which can ensure the orderliness of the information, and finally associates the single well information and layer information obtained by parsing with the reservoir characteristic data to complete the data association between the document and the reservoir characteristic data; the method can accurately and quickly associate the data, provide users with "one-stop window service", greatly improve the work efficiency of researchers, realize data integration application, change data from asset management to data resource utilization of data-driven application, build an oil and gas reservoir research and decision-making model with data as the center and data service as the main line, and lay a data foundation for intelligent oil and gas reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 A flowchart of a document-based reservoir characteristic data association method provided by an embodiment of the present invention;

[0031] Figure 2 A schematic diagram showing a research achievement document provided by an embodiment of the present invention;

[0032] Figure 3 A schematic diagram of online association display of reservoir characteristic data provided by an embodiment of the present invention;

[0033] Figure 4 A flowchart of a document-based reservoir characteristic data association method provided by the present invention;

[0034] Figure 5 A schematic structural diagram of a document-based reservoir characteristic data association system provided by the present invention. DETAILED DESCRIPTION

[0035] The present invention provides a reservoir characteristic data association method based on documents, such as Figure 4 As shown, the following steps are included:

[0036] S1: Convert and parse the research results documents, and output results pictures, single well information and layer information;

[0037] S2: Display the output results images according to the original order of the research results document and annotate the corresponding layer information;

[0038] S3: Associating the output single well information and layer information with the reservoir characteristic data to complete data association.

[0039] Specifically, in S1, the specific steps for format conversion of the research results document are as follows:

[0040] Get the card document of the four-property relationship of the target well, use Aspose.Slides to read the card document and render each page of the card document to output the result image.

[0041] In addition, during the rendering process, for card documents containing animation effects, they are split into multiple images, and the multiple images are sorted, saved and output according to the animation sequence.

[0042] In S1, the specific steps for parsing the research results document are:

[0043] In the process of converting the research results document format, the layer keywords in the research results document are parsed to obtain the single well information, and the corresponding layer information is matched according to the layer keywords and the formation code table.

[0044] The specific steps of S2 are:

[0045] The research results images are obtained from the distributed storage, and the research results images are displayed online in the original order of the research results documents. At the same time, the corresponding layer information is marked for each research result image.

[0046] In S3, the reservoir characteristic data include single well data set, four property relationships, core photos, and cast thin sections;

[0047] The specific steps of S3 are:

[0048] According to the single well information, the single well data sets are associated; according to the stratigraphic information, the four-property relationships, core photos and casting thin sections are associated.

[0049] The above-mentioned single well data sets include research results such as well logging blueprints, oil and gas testing geological design, daily oil testing reports and completion reports.

[0050] like Figure 5 As shown, the present invention also provides a document-based reservoir characteristic data association system, including: a conversion analysis module, used for format conversion and parsing of research results documents, and outputting results pictures, single well information and layer information; a display and annotation module, used for displaying the output results pictures according to the original order of the research results documents and annotating the corresponding layer information; a data association module, used for associating the output single well information and layer information with the reservoir characteristic data to complete data association.

[0051] The present invention also provides a device, comprising: a memory for storing a computer program; and a processor for implementing the steps of the document-based reservoir characteristic data association method when executing the computer program.

[0052] When the processor executes the computer program, the above-mentioned document-based reservoir characteristic data association steps are implemented, for example: the research results document is formatted and parsed, and the results pictures, single well information and layer information are output; the output results pictures are displayed according to the original order of the research results document and the corresponding layer information is marked; the output single well information and layer information are associated with the reservoir characteristic data to complete the data association.

[0053] Alternatively, the processor implements the functions of each module in the above-mentioned system when executing the computer program, for example: a conversion and analysis module, which is used to convert the format and parse the research results document, and output the results pictures, single well information and layer information; a display and annotation module, which is used to display the output results pictures according to the original order of the research results document and annotate the corresponding layer information; a data association module, which is used to associate the output single well information and layer information with the reservoir characteristic data to complete the data association.

[0054] Exemplarily, the computer program can be divided into one or more modules / units, and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units can be a series of computer program instruction segments that can complete preset functions, and the instruction segments are used to describe the execution process of the computer program in the document-based reservoir characteristic data association device. For example, the computer program can be divided into a data conversion analysis module, a display and annotation module, and a data association module; the specific functions of each module are as follows: a conversion analysis module, which is used to convert and parse the research results document format, and output the results picture, single well information and layer information; a display and annotation module, which is used to display the output results picture according to the original order of the research results document and annotate the corresponding layer information; a data association module, which is used to associate the output single well information and layer information with the reservoir characteristic data to complete the data association.

[0055] The document-based reservoir characteristic data association device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The document-based reservoir characteristic data association device may include, but is not limited to, a processor and a memory. Those skilled in the art may understand that the above is an example of a document-based reservoir characteristic data association device, and does not constitute a limitation on the document-based reservoir characteristic data association device, and may include more components than the above, or a combination of certain components, or different components. For example, the document-based reservoir characteristic data association device may also include input and output devices, network access devices, buses, etc.

[0056] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc. The processor is the control center of the document-based reservoir characteristic data association, and uses various interfaces and lines to connect various parts of the entire document-based reservoir characteristic data association device.

[0057] The memory may be used to store the computer program and / or module, and the processor implements various functions of the document-based reservoir characteristic data association device by running or executing the computer program and / or module stored in the memory and calling the data stored in the memory.

[0058] The memory may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0059] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the document-based reservoir characteristic data association method are implemented.

[0060] If the modules / units integrated in the document-based reservoir characteristic data association system are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium.

[0061] Based on such understanding, the present invention implements all or part of the processes in the above-mentioned document-based reservoir characteristic data association method, and can also be completed by instructing related hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the above-mentioned document-based reservoir characteristic data association method can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or preset intermediate form, etc.

[0062] The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0063] It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electrical carrier signals and telecommunication signals.

[0064] Example

[0065] The present invention will be further described below in conjunction with the embodiments and drawings:

[0066] As mentioned in the background technology, the current reservoir data storage is relatively scattered, and secure sharing is not guaranteed. Most importantly, there is a lack of association between the various storage platforms, which causes researchers to switch platforms back and forth to view data when calling relevant reservoir data, greatly reducing work efficiency. In addition, the existing recognition tools have poor recognition effects on complex information such as special symbols, pictures and charts in the map; this also leads to the problem that most key information cannot be accurately associated. In order to solve the above problems, this embodiment provides a document-based reservoir feature data association method, such as Figure 1 As shown, the specific steps are as follows:

[0067] First, researchers upload all research results documents;

[0068] (1) Format conversion of research results documents:

[0069] a) Get the four-property relationship card document in PPT format of the target well, apply the development component Aspose.Slides to read the document, and render each page as a PNG image.

[0070] b) During the rendering process, the animation effects in the multimedia are automatically identified and split into multiple pictures, which are saved in the order of animation for subsequent display and processing.

[0071] (2) Analyze and extract key information:

[0072] During the conversion process, the stratigraphic keywords in the research results document are parsed and the stratigraphic information is matched according to the stratigraphic code table;

[0073] a) In the process of converting the document format, identify and extract key information such as single well and layer of the document;

[0074] b) After parsing and extraction are completed, the extracted key information is stored in the database for subsequent analysis and processing.

[0075] (3) Online display of research results documents:

[0076] a) Online display on the web page. Obtain the converted file information of the target well four-property relationship card (one document corresponds to multiple pictures and their sequence information after conversion), download the PNG picture from the distributed storage (HDFS), and display the converted picture online on the web page in the original multimedia order.

[0077] b) If Figure 2 As shown, the corresponding layer of each picture is marked.

[0078] (4) Reservoir characteristic data association display:

[0079] a) If Figure 3 As shown, according to the single well information, the single well data set is associated, and the single well data set here includes research results such as logging blueprint, oil and gas test geological design, oil test daily report and completion report;

[0080] b) According to the stratigraphic information, core photos, scanning electron microscopy, and thin section identification are associated and displayed online based on the web page.

[0081] It can be seen that the document-based reservoir characteristic data association method provided in this embodiment can quickly realize the conversion of the document format of oil reservoir research results, associate and display online various data sets of single wells, four-property relationships, core photos, cast thin sections and other oil and gas reservoir characteristic data information, and realize sharing under the premise of ensuring asset security. Based on the extracted information, it can finally realize cross-platform and multi-type reservoir characteristic data association and provide "one-stop window service".

[0082] The above embodiment is only one of the implementation methods that can realize the technical solution of the present invention. The scope of protection claimed by the present invention is not limited only to this embodiment, but also includes changes, replacements and other implementation methods that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed by the present invention.

Claims

1. A document-based reservoir characteristic data association method, characterized in that: include: S1: Convert and parse the research results documents, and output results pictures, single well information and layer information; S2: Display the output results images according to the original order of the research results document and annotate the corresponding layer information; S3: Associating the output single well information and layer information with the reservoir characteristic data to complete data association.

2. A document-based reservoir characteristic data association method according to claim 1, characterized in that: In S1, the specific steps for format conversion of research results documents are as follows: Get the card document of the four-property relationship of the target well, use Aspose.Slides to read the card document and render each page of the card document to output the result image.

3. The document-based reservoir characteristic data association method according to claim 2, characterized in that: During the rendering process, the card document containing animation effects is split into multiple images, and the multiple images are sorted, saved and output according to the animation sequence.

4. The document-based reservoir characteristic data association method according to claim 1, characterized in that: In S1, the specific steps for parsing the research results document are: In the process of converting the research results document format, the layer keywords in the research results document are parsed to obtain the single well information, and the corresponding layer information is matched according to the layer keywords and the formation code table.

5. The document-based reservoir characteristic data association method according to claim 1, characterized in that: The specific steps of S2 are: The research results images are obtained from the distributed storage, and the research results images are displayed online in the original order of the research results documents. At the same time, the corresponding layer information is marked for each research result image.

6. The document-based reservoir characteristic data association method according to claim 1, characterized in that: In S3, the reservoir characteristic data includes single well data set, four property relationships, core photos, and cast thin sections; the specific steps of S3 are: According to the single well information, the single well data sets are associated; according to the stratigraphic information, the four-property relationships, core photos and casting thin sections are associated.

7. A document-based reservoir characteristic data association method according to claim 6, characterized in that: The single well data set includes well logging blueprint, oil and gas testing geological design, oil testing daily report and well completion report.

8. A document-based reservoir characteristic data association system, used to implement the steps of the document-based reservoir characteristic data association method according to any one of claims 1 to 7, characterized in that: include: The conversion and analysis module is used to convert the format and parse the research results documents, and output the results pictures, single well information and layer information; The display and annotation module is used to display the output results images according to the original order of the research results documents and annotate the corresponding layer information; The data association module is used to associate the output single well information and layer information with the reservoir characteristic data to complete the data association.

9. A device, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the document-based reservoir characteristic data association method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, it is used to implement the steps of the document-based reservoir characteristic data association method according to any one of claims 1 to 7.

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