A geological steering cloud digital model collaborative method and system

Through the geologically-oriented cloud digital-analog collaboration method and system, the problems of poor real-time and low efficiency of geologically-oriented software model sharing in the existing technology are solved, and multi-end online real-time update and efficient sharing of geologically-oriented models are realized, thereby improving the efficiency of multi-end decision-making.

CN118337782BActive Publication Date: 2025-06-03BEIJING BLUE OCEAN ZHIXIN ENERGY TECH CO LTD
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Patent Information

Application Number
CN202410387197.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-04-01
Publication Date
2025-06-03
Estimated Expiration
2044-04-01

AI Technical Summary

Technical Problem

The existing geological-oriented software model sharing method has poor real-time performance, has troublesome operation process, low model sharing efficiency, cumbersome process of guiding and modifying opinions, and redundant model versions, which affects the efficiency of multi-terminal decision-making.

Method used

Provide a geologically guided cloud digital-analog collaboration method and system, which establishes a geologically guided model through the client and sends it to the cloud server. The cloud server performs cloud computing and sends it to the front-end, real-time multi-terminal online viewing and real-time updates.

Benefits of technology

It realizes multi-terminal online viewing and real-time update of geologically oriented models, improves real-time and efficiency of model sharing, simplifies the operation process, avoids model version redundancy, and improves the efficiency of multi-terminal decision-making.

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Abstract

The present invention discloses a geological steering cloud digital model collaborative method and system, which relates to the technical field of geological steering. The method includes: the client establishes a geological steering model according to the key data associated with geological steering, and sends the drawing data and original analysis data in the established geological steering model to the cloud server; the front end displays the restored geological steering model, wherein the cloud server performs cloud computing on the received data to obtain the restored geological steering model and sends it to the front end. The present invention can realize multi-terminal online viewing of the geological steering model on one device through continuous cloud sharing, present the latest geological steering model in real time, have good real-time performance of model sharing, simple operation process, high model sharing efficiency, no redundancy of model versions, and is more convenient for multi-terminals to put forward guiding modification opinions and make decisions, improving the multi-terminal decision-making efficiency.
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Description

Background Art

[0002] Horizontal well geological steering is a discipline that decides the drilling direction of the wellbore trajectory and establishes a geological steering model. During the wellbore drilling process, the geological conditions of the formations drilled encounter are constantly changing, and it is necessary to modify the geological steering model and adjust the drilling plan at all times. The plan is jointly decided by multiple parties such as the front line and the rear, and it is necessary to achieve instant sharing of the steering model over a long distance to achieve rapid decision-making. In addition to the decision-making of the drilling plan for the section being drilled, it is necessary to review and analyze the rationality of the established geological steering model for the section that has been drilled, and it also requires multiple parties to jointly analyze to obtain the most reasonable geological steering model.

[0003] Currently, the main modes of sharing geological steering in domestic and foreign geological steering software are as follows: outputting the model files or drawings customized by the software, and then sharing the files through other communication methods. The export and import of the model files need to go through the single-machine geological steering software on one device to the single-machine geological steering software on another device. Specifically, through the following five steps, the method for sharing the model of the conventional geological steering software is completed:

[0004] The first step: Load and import various data into the single-machine geological steering software on one device through files;

[0005] The second step: In the single-machine geological steering software on this device, establish a geological steering model after artificial analysis of the data;

[0006] The third step: Output the model into a model file in the corresponding format or output it as a drawing;

[0007] The fourth step: Use methods such as copying and network transmission to send the model file or drawing from this device to another device. The receiving device imports the model file in the same single-machine geological steering software to view the model or views the model in the form of a drawing.

[0008] The fifth step: After the model receiver modifies the model, it returns the modified model file in the form of file transmission.

[0009] In the actual application of the above conventional geological steering software model sharing method, the real-time performance is poor, the operation process is troublesome, the model sharing efficiency is low, the process of guiding modification opinions is cumbersome, and the model versions are redundant, affecting the decision-making efficiency of multiple parties. Summary of the Invention

[0010] The technical problem to be solved by the present invention is to provide a geological steering cloud digital model collaboration method and system in view of the deficiencies of the prior art, specifically as follows:

[0011] 1) In the first aspect, the present invention provides a geological steering cloud digital model collaboration method, and the specific technical solution is as follows:

[0012] The client establishes a geological steering model based on the key data associated with geological steering, and sends the drawing data and original analysis data in the established geological steering model to the cloud server;

[0013] The front end displays the restored geological steering model. Among them, the cloud server performs cloud computing on the received data to obtain the restored geological steering model and sends it to the front end.

[0014] The beneficial effects of a geological steering cloud digital model collaboration method provided by the present invention are as follows:

[0015] It can realize multi-terminal online viewing of the geological steering model on one device through continuous cloud sharing, present the latest geological steering model in real time, have good real-time performance of model sharing, simple operation process, high model sharing efficiency, no redundant model versions, and is more convenient for multi-terminal to put forward guiding modification opinions and make decisions, improving multi-terminal decision-making efficiency.

[0016] On the basis of the above solution, a geological steering cloud digital model collaboration method of the present invention can also be improved as follows.

[0017] Further, it further includes:

[0018] When the key data associated with geological steering is updated, the client synchronously updates the established geological steering model, and the cloud server synchronously updates the geological steering model restored to the front end.

[0019] The beneficial effect of adopting the above further solution is: instant sharing and automatic update of the geological steering model, ensuring the latestness and uniqueness of the model version, and realizing multi-terminal decision-making integration.

[0020] Further, the front end is provided with multiple custom operation functions, so that users logging in to the front end can perform custom operations on the geological steering model restored to the front end.

[0021] The beneficial effect of adopting the above further solution is: by setting multiple custom operation functions on the front end, the flexibility is higher and the user experience is improved.

[0022] Further, the client sends the drawing data and original analysis data in the established geological steering model to the cloud server through an encrypted network communication protocol.

[0023] The beneficial effect of adopting the above further solution is: it can effectively prevent data tampering and ensure data security.

[0024] Further, the key data associated with geological steering includes: logging-while-drilling data, wellbore trajectory data, and geological logging data.

[0025] 2) Second aspect, the present invention also provides a geological steering cloud digital model collaborative system, and the specific technical solution is as follows:

[0026] It includes a client and a front end;

[0027] The client is used for: establishing a geological steering model according to the key data associated with geological steering, and sending the drawing data and original analysis data in the established geological steering model to the cloud server;

[0028] The front end is used for: displaying the restored geological steering model, wherein the cloud server performs cloud computing on the received data to obtain the restored geological steering model and sends it to the front end.

[0029] Based on the above solution, a geological steering cloud digital model collaborative system of the present invention can also be improved as follows.

[0030] Further, when the key data associated with geological steering is updated, the client is also used to synchronously update the established geological steering model, and the cloud server is also used to synchronously update the geological steering model restored to the front end.

[0031] Further, the front end is provided with multiple custom operation functions so that the user logging in to the front end can perform custom operations on the geological steering model restored to the front end.

[0032] Further, the client is specifically used for: sending the drawing data and original analysis data in the established geological steering model to the cloud server through an encrypted network communication protocol.

[0033] Further, the key data associated with geological steering includes: logging while drilling data, wellbore trajectory data, and geological logging data.

[0034] It should be noted that for the beneficial effects obtained by the technical solution of the second aspect of the present invention and the corresponding possible implementation manners, reference can be made to the technical effects of the first aspect and its corresponding possible implementation manners described above, which will not be elaborated here. Description of the Drawings

[0035] By reading the detailed description of the non-restrictive embodiments with reference to the following drawings, other features, purposes, and advantages of the present invention will become more obvious:

[0036] Figure 1 It is a flowchart of a geological steering cloud digital model collaborative method according to an embodiment of the present invention;

[0037] Figure 2 It is a schematic diagram of a geological steering model established by the client;

[0038] Figure 3 It is: a schematic diagram of a user logging in to the cloud platform account and synchronizing the geological steering model;

[0039] Figure 4 The geological steering model displayed on the front end of the browser;

[0040] Figure 5 The structural schematic diagram of a geological steering cloud digital model collaborative system according to an embodiment of the present invention;

[0041] Figure 6 The structural schematic diagram of a computer device according to an embodiment of the present invention. Detailed implementation manners

[0042] To make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0043] As Figure 1 shown, a geological steering cloud digital model collaborative method according to an embodiment of the present invention includes the following steps:

[0044] S1. The client establishes a geological steering model according to the key data associated with geological steering, and sends the drawing data and original analysis data in the established geological steering model to the cloud server;

[0045] Among them, the specific implementation process for the client to establish a geological steering model is as follows:

[0046] 1) The first implementation manner: The client imports the key data associated with geological steering received into the geological steering modeling software to establish a geological steering model;

[0047] 2) The second implementation manner: A plug-in for generating a geological steering model is embedded in the client, and the plug-in establishes a geological steering model based on the key data associated with geological steering.

[0048] Among them, the specific implementation process for the client to send the drawing data and original analysis data in the established geological steering model to the cloud server is as follows:

[0049] 1) The client sends the drawing data and original analysis data in the established geological steering model to the cloud server through an encrypted network communication protocol, which can effectively prevent data tampering and ensure data security.

[0050] 2) The client serializes and compresses the drawing data and original analysis data in the established geological steering model, and then sends them to the cloud server. The cloud server decompresses to obtain the drawing data and original analysis data in the geological steering model.

[0051] 3) The client serializes and compresses the drawing data and the original analysis data in the established geological steering model, and sends them to the cloud server through an encrypted network communication protocol. The cloud server decompresses to obtain the drawing data and the original analysis data in the geological steering model, which can effectively prevent data tampering and ensure data security.

[0052] S2. The front end displays the restored geological steering model. Among them, the cloud server performs cloud computing on the received data to obtain the restored geological steering model and sends it to the front end.

[0053] A geological steering cloud data model collaborative method according to an embodiment of the present invention can realize multi-terminal online viewing of the geological steering model on one device through continuous cloud sharing, present the latest geological steering model in real time, have good real-time performance of model sharing, simple operation process, high model sharing efficiency, no redundant model versions, and is more convenient for multi-terminals to put forward guiding modification opinions and make decisions, improving multi-terminal decision-making efficiency.

[0054] Optionally, in the above technical solution, it further includes:

[0055] S3. When the key data associated with geological steering is updated, the client synchronously updates the established geological steering model, and the cloud server synchronously updates the geological steering model restored to the front end. The geological steering model is instantaneously shared and automatically updated to ensure the latestness and uniqueness of the model version, realizing multi-terminal decision-making integration.

[0056] Optionally, in the above technical solution, the front end is provided with multiple custom operation functions, so that the user logging in to the front end can perform custom operations on the geological steering model restored to the front end. By setting multiple custom operation functions on the front end, the flexibility is higher, improving the user experience.

[0057] Optionally, in the above technical solution, the key data associated with geological steering includes: logging-while-drilling data, wellbore trajectory data, and geological logging data. Other data can also be used as key data according to actual situations.

[0058] This method involves a technology that combines horizontal well geological steering, computer software programming processing, network communication protocol, data serialization and compression, front-end development technology, back-end server technology, cloud computing, and storage, etc. In another embodiment, it includes:

[0059] S11. Data preparation:

[0060] The client obtains the key data required for geological steering, that is, the key data associated with geological steering, specifically including logging-while-drilling data, wellbore trajectory data, geological logging data, etc.

[0061] S12. The client invokes the geological steering modeling software, and based on the key data associated with geological steering, establishes a geological steering model, sets the display formats of the model and data curves, and uses computer image processing technology to display and draw, as Figure 2 shown Figure 2 In it, the tree management on the left is the original data of the imported data items, the drawing data of the model, and other analysis result data, and the curve lanes above and on the right are the imaging drawings of the required reference data.

[0062] S13. Cloud data model collaboration:

[0063] After the client establishes the geological steering model, log in to the account within the client, serialize and compress the drawing data and original analysis data in the established geological steering model, and send them to the cloud server through an encrypted network communication protocol. The user logs in to the cloud platform account of the cloud server to synchronize the geological steering model, as Figure 3 shown. Specifically, after the cloud server decompresses the received data, it obtains the drawing data and original analysis data in the geological steering model, performs cloud computing and storage on the drawing data and original analysis data in the geological steering model, restores and draws the geological steering model established by the client to the front end, and displays it. Among them, the front end can specifically be the browser front end. After the user logs in to the account on the front end, they can view the shared model, that is, the restored geological steering model, as Figure 4 shown.

[0064] The front end is provided with multiple custom operation functions. Through the rich custom operation functions, the user who logs in to the front end can perform custom operations on the geological steering model restored to the front end. By setting multiple custom operation functions on the front end, the flexibility is higher, and the user experience is improved.

[0065] As the wellbore trajectory continues to drill, the data of the client, that is, the key data associated with geological steering, continues to be updated, the geological steering model established by the client continues to iterate, and is automatically synchronized to the cloud server. Multiple front-end users can view the data in the latest geological steering model at the same time, and perform analysis to guide the modification of the model and the decision-making of the drilling plan.

[0066] In another embodiment, it includes:

[0067] 1) The shared user installs the navigator geological steering software on the device and establishes a geological steering model in the software. The navigator geological steering software with the geological steering model is the client in the above text, as Figure 2 shown;

[0068] 2) In the navigator geological steering software, log in to the welltouch cloud platform account and start synchronizing the model, data, and user operations, as Figure 3as shown;

[0069] 3) The shared users log in to the welltouch cloud platform account at the browser front-end and view the shared models and data in real time. For example, Figure 4 as shown, as the client users modify and iterate on the data and models, the front-end automatically synchronizes to the latest version.

[0070] The beneficial effects of the present invention are as follows:

[0071] 1) Real-time collaboration: Online sharing allows multiple users to edit and view the same geological steering model and data in real time, greatly improving the efficiency of team collaboration. This is difficult to achieve in the file transfer method, which usually requires repeated sending of file versions.

[0072] 2) Accessible anytime and anywhere: As long as there is a network connection, users can access the shared geological steering model and data from any location and any device, providing great convenience for multi-party remote discussions and decision-making without relying on specific programs or storage media.

[0073] 3) Reducing storage redundancy: Online sharing avoids storing multiple versions of files on each participant's device, saving storage space and reducing the risk of data inconsistency at the same time.

[0074] 4) Quick feedback and communication: The cloud platform is embedded with instant messaging and commenting functions, enabling participants to quickly exchange opinions and provide feedback, thus accelerating the decision-making and improvement processes.

[0075] 5) Automatic update: The content of the online sharing, namely the geological steering model, can be automatically updated to the latest version, ensuring that all participants can access the latest geological steering-related data and geological steering models.

[0076] 6) Enhanced security: The platform provides advanced encryption and security measures to protect data, which is more difficult to lose than physical media. At the same time, the recovery plan is more sound, and data backups are more frequent and reliable.

[0077] Through these advantages, the cloud digital model collaboration of the geological steering model provides a more flexible, efficient, and reliable way of collaboration and data sharing, which is particularly obvious for the frequent updates and collaboration of geological models.

[0078] In the above embodiments, although the steps are numbered S1, S2, etc., they are only specific embodiments given by the present invention. Those skilled in the art can adjust the execution order of S1, S2, etc. according to the actual situation, and this is also within the protection scope of the present invention. It can be understood that in some embodiments, it may include some or all of the above embodiments.

[0079] such as Figure 5As shown in the figure, a geological steering cloud digital model collaborative system according to an embodiment of the present invention includes a client and a front end;

[0080] The client is used for: establishing a geological steering model according to the key data associated with geological steering, and sending the drawing data and original analysis data in the established geological steering model to the cloud server;

[0081] The front end is used for: displaying the restored geological steering model, wherein the cloud server performs cloud computing on the received data to obtain the restored geological steering model and sends it to the front end.

[0082] Optionally, in the above technical solution, when the key data associated with geological steering is updated, the client is further used for synchronously updating the established geological steering model, and the cloud server is further used for synchronously updating the geological steering model restored to the front end.

[0083] Optionally, in the above technical solution, the front end is provided with a plurality of custom operation functions, so that the user logging in to the front end can perform custom operations on the geological steering model restored to the front end.

[0084] Optionally, in the above technical solution, the client is further specifically used for: sending the drawing data and original analysis data in the established geological steering model to the cloud server through an encrypted network communication protocol.

[0085] Optionally, in the above technical solution, the key data associated with geological steering includes: logging while drilling data, wellbore trajectory data, and geological logging data.

[0086] It should be noted that the beneficial effects of the geological steering cloud digital model collaborative system provided in the above embodiment are the same as those of the above geological steering cloud digital model collaborative method, and will not be elaborated here. In addition, when the system provided in the above embodiment realizes its functions, only the above-mentioned division of each functional module is used for illustration. In actual application, the above functions can be allocated to different functional modules according to needs, that is, the system is divided into different functional modules according to the actual situation to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process can be seen in the method embodiment, which will not be elaborated here.

[0087] As Figure 6 shown, a computer device according to an embodiment of the present invention, the computer device includes a processor, the processor is coupled to a memory, and at least one computer program is stored in the memory. The at least one computer program is loaded and executed by the processor so that the computer device realizes any one of the above geological steering cloud digital model collaborative methods. Specifically:

[0088] Computer devices can vary significantly due to different configurations or performances, and may include one or more processors (Central Processing Units, CPUs) and one or more memories. Among them, at least one computer program is stored in the one or more memories, and the at least one computer program is loaded and executed by the one or more processors, so that the computer device implements any one of the geological steering cloud digital-analog collaborative methods provided in the above embodiments. Of course, the computer device may also have components such as wired or wireless network interfaces, keyboards, and input / output interfaces for input and output. The computer device may also include other components for implementing the functions of the device, which will not be elaborated here.

[0089] A computer-readable storage medium according to an embodiment of the present invention stores at least one computer program, and the at least one computer program is loaded and executed by a processor so that a computer implements any one of the above geological steering cloud digital-analog collaborative methods.

[0090] Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, and optical data storage device, etc.

[0091] In an exemplary embodiment, there is also provided a computer program product or a computer program. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes any one of the above geological steering cloud digital-analog collaborative methods.

[0092] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, rather than to limit a specific order or sequence. Under appropriate circumstances, the use order of similar objects can be interchanged so that the embodiments of the present application described here can be implemented in an order other than the illustrated or described order.

[0093] Those skilled in the art of the present technology know that the present invention can be implemented as a system, a method, or a computer program product. Therefore, the present invention can be specifically implemented in the following forms, namely: it can be entirely hardware, or entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software, which is generally referred to as "circuit", "module", or "system" in this article. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, which contain computer-readable program codes.

[0094] Any combination of one or more computer-readable media can be adopted. The computer-readable media can be computer-readable signal media or computer-readable storage media. The computer-readable storage media can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination of the above. More specific examples (a non-exhaustive list) of the computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, the computer-readable storage media can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or component.

[0095] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A geosteering cloud-based digital modeling collaborative method, characterized in that: include: The client establishes a geosteering model based on key data associated with geosteering, and sends the drawing data and original analysis data in the established geosteering model to the cloud server; The specific implementation process of the client establishing the geosteering model is as follows: the client imports the received key data associated with the geosteering into the geosteering modeling software to establish the geosteering model, or embeds a plug-in for generating the geosteering model in the client, and the plug-in establishes the geosteering model based on the key data associated with the geosteering; The specific implementation process of the client sending the drawing data and the original analysis data in the established geosteering model to the cloud server is as follows: the client serializes and compresses the drawing data and the original analysis data in the established geosteering model, and sends them to the cloud server through an encrypted network communication protocol, and the cloud server decompresses and obtains the drawing data and the original analysis data in the geosteering model; The front end displays the restored geosteering model, wherein the cloud server performs cloud computing on the received data to obtain the restored geosteering model and sends it to the front end; Also includes: When the key data associated with geosteering is updated, the client synchronously updates the established geosteering model, and the cloud server synchronously updates the geosteering model restored to the front end; The front end is provided with a plurality of custom operation functions so that the user who logs into the front end can perform custom operations on the geosteering model restored to the front end.

2. A geosteering cloud digital model collaboration method according to claim 1, characterized in that: The key data associated with the geosteering include: logging while drilling data, well trajectory data and geological logging data.

3. A geosteering cloud digital model collaborative system, characterized in that: Including client and front end; The client is used to: establish a geosteering model according to key data associated with geosteering, and send drawing data and original analysis data in the established geosteering model to the cloud server; The specific implementation process of the client establishing the geosteering model is as follows: the client imports the received key data associated with the geosteering into the geosteering modeling software to establish the geosteering model, or embeds a plug-in for generating the geosteering model in the client, and the plug-in establishes the geosteering model based on the key data associated with the geosteering; The specific implementation process of the client sending the drawing data and the original analysis data in the established geosteering model to the cloud server is as follows: the client serializes and compresses the drawing data and the original analysis data in the established geosteering model, and sends them to the cloud server through an encrypted network communication protocol, and the cloud server decompresses and obtains the drawing data and the original analysis data in the geosteering model; The front end is used to: display the restored geosteering model, wherein the cloud server performs cloud computing on the received data to obtain the restored geosteering model and sends it to the front end; When the key data associated with geosteering is updated, the client is also used to synchronously update the established geosteering model, and the cloud server is also used to synchronously update the geosteering model restored to the front end; The front end is provided with a plurality of custom operation functions so that the user who logs into the front end can perform custom operations on the geosteering model restored to the front end.

4. A geosteering cloud digital-analog collaborative system according to claim 3, characterized in that: The key data associated with the geosteering include: logging while drilling data, well trajectory data and geological logging data.

Citation Information

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