Digital twinning method for mud pump for well drilling

By building a static model of mud pump and building a database, and combining real-time data to realize a digital twin model, the problem of high failure rate of mud pump is solved, performance and production efficiency are improved, and maintenance costs are reduced.

CN119720456APending Publication Date: 2025-03-28CHINA PETROLEUM & CHEMICAL CORP +3

Patent Information

Application Number
CN202311257502.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-09-27
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The failure rate of mud pumps during drilling is high, and the existing technology is difficult to achieve real-time monitoring and failure prediction, resulting in low production efficiency and high maintenance costs.

Method used

By building a static model of mud pumps that include power end, hydraulic end and auxiliary static models, and combining real-time data on drilling production and operation, a slurry pump database is built to realize a data-driven digital twin model, real-time monitoring and fault prediction.

Benefits of technology

It improves the performance of the mud pump, reduces maintenance costs, and reduces unplanned downtime, lays the foundation for predictive maintenance of the mud pump, and realizes equipment fault diagnosis and product quality control.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119720456A_ABST
    Figure CN119720456A_ABST
Patent Text Reader

Abstract

The invention provides a digital twinning method for a mud pump for well drilling, which relates to the technical field of mud pumps, and comprises the following steps: aiming at the structural characteristics of the mud pump for well drilling, constructing a mud pump static model comprising a power end static model, a fluid end static model and an auxiliary static model; based on the slurry pump static model, well drilling production real-time data and slurry pump operation real-time data in the well drilling process are accessed to build a slurry pump database; and performing data driving on the slurry pump static model according to the data types of the drilling production real-time data and the slurry pump operation real-time data to obtain a slurry pump digital twinborn model which is in virtual-real synchronization with the real-time drilling process. The performance of the slurry pump can be improved, the maintenance cost is reduced, non-planned shutdown is reduced, and a foundation is laid for predictability of the slurry pump.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present invention relates to the technical field of mud pumps, and is applied to digital twins of mud pumps for drilling, and specifically to a digital twin method for mud pumps for drilling. Background Art

[0002] Mud pumps are important equipment in oil drilling projects. They are mainly used to circulate drilling fluid, flush the bottom of the well and carry cuttings, cool the drill bit, protect the well wall, etc. In jet drilling, they also have the function of crushing cuttings. The mud pump environment is harsh and the drilling conditions are complex, resulting in a high failure rate of the mud pump. Through digital means, the operation status of the mud pump can be monitored throughout the process, and the mud pump failure can be warned in time, which is of great significance for the efficient operation of drilling operations.

[0003] In response to the problems of the prior art, the present invention provides a digital twin method for a drilling mud pump. Summary of the invention

[0004] In view of the problems of the current prior art, the present invention provides a digital twin method for a drilling mud pump, the method comprising:

[0005] According to the structural characteristics of the drilling mud pump, a static model of the mud pump is constructed, which includes a power end static model, a hydraulic end static model, and an auxiliary static model.

[0006] Based on the mud pump static model, the real-time drilling production data and the real-time operation data of the mud pump during the drilling process are accessed to build a mud pump database;

[0007] According to the data categories of the real-time drilling production data and the real-time mud pump operation data, the static model of the mud pump is data-driven to obtain a digital twin model of the mud pump that is synchronized with the real-time drilling process.

[0008] According to one embodiment of the present invention, the power end static model includes but is not limited to: a base and frame static model, a gear shaft assembly static model, a crankshaft assembly static model, a crosshead assembly static model, and a motor static model; the hydraulic end static model includes but is not limited to: a cylinder assembly static model, a valve assembly static model, a piston assembly static model, a manifold assembly static model, and a spray pump assembly static model; the auxiliary static model includes but is not limited to: a lubrication mechanism static model and a safety valve static model.

[0009] According to one embodiment of the present invention, a mud pump static model including a power end static model, a hydraulic end static model, and an auxiliary static model is constructed by the following steps: three-dimensional geometric modeling of the system is performed based on the entity of the target system, and the appearance, shape, proportion and structure of the target system are restored to obtain the mud pump static model.

[0010] According to one embodiment of the present invention, the real-time drilling production data includes but is not limited to: daily drilling report, real-time data of logging instrument, and intelligent well control monitoring data; the real-time mud pump operation data includes but is not limited to: speed, displacement, pump pressure, pump stroke, motor current, voltage, and active power.

[0011] According to an embodiment of the present invention, the data categories of the real-time drilling production data and the real-time mud pump operation data include but are not limited to: drilling conditions, circulation conditions, and tripping conditions.

[0012] According to one embodiment of the present invention, the mud pump static model is data-driven through the following steps: comprehensively analyzing the logical association between the real-time drilling production data and the real-time operation data of the mud pump to form a multivariable algorithm model, decomposing the actions of each system under different working conditions to form a correspondence, and realizing the triggering of target system actions under the conditions of changes in the real-time drilling production data and the real-time operation data of the mud pump.

[0013] According to one embodiment of the present invention, the method further includes: performing model rendering, realizing two-dimensional charts and three-dimensional roaming effect display based on the mud pump digital twin model.

[0014] According to one embodiment of the present invention, the method further includes: for the mud pump digital twin model, through system model replacement and different data access operations, realizing rapid replication of models of different models and different manufacturers.

[0015] According to another aspect of the present invention, there is also provided a storage medium comprising a series of instructions for executing steps of a digital twin method for a drilling mud pump as described in any one of the above items.

[0016] According to another aspect of the present invention, a digital twin device for a drilling mud pump is provided, which executes a digital twin method for a drilling mud pump as described in any one of the above items, and the device comprises:

[0017] The mud pump static model module is used to construct a mud pump static model including a power end static model, a hydraulic end static model, and an auxiliary static model according to the structural characteristics of the drilling mud pump;

[0018] A mud pump database module is used to access the real-time drilling production data and the real-time operation data of the mud pump during the drilling process based on the static model of the mud pump to build a mud pump database;

[0019] The mud pump digital twin model module is used to data-drive the mud pump static model according to the data categories of the real-time drilling production data and the real-time operation data of the mud pump, so as to obtain a mud pump digital twin model that is synchronized with the real-time drilling process.

[0020] The present invention provides a digital twin method for a drilling mud pump, which has the following advantages over the prior art:

[0021] The present invention can improve the performance of the mud pump, reduce the maintenance cost, reduce unplanned downtime, and lay a foundation for the predictability of the mud pump.

[0022] The digital twin of the mud pump provided by the present invention can help enterprises diagnose and predict equipment failures. By combining the data of the actual mud pump equipment with the digital model, the operating status of the mud pump can be monitored in real time, and an alarm will be immediately issued when the mud pump fails or is abnormal. In this way, the enterprise can take timely measures to repair the mud pump, avoid long production line downtime, and improve production efficiency.

[0023] The digital twin of the mud pump provided by the present invention can also help enterprises to control product quality. By monitoring the operating data of the mud pump, the quality status of the product can be analyzed in real time, and when quality problems occur in the product, they can be traced back to the specific equipment and production process in a timely manner. In this way, the enterprise can find out the cause of the quality problem in a timely manner and take corresponding corrective measures to ensure that the quality of the product meets the standards and improve user satisfaction.

[0024] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the description, claims and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0026] Figure 1 A flowchart of the steps of a digital twin method for a drilling mud pump according to an embodiment of the present invention is shown;

[0027] Figure 2 A schematic diagram of the construction process of a digital twin model of a mud pump according to an embodiment of the present invention is shown;

[0028] Figure 3 A module composition diagram of a digital twin device of a drilling mud pump according to an embodiment of the present invention is shown.

[0029] In the accompanying drawings, the same reference numerals are used for the same components. In addition, the accompanying drawings are not drawn according to the actual scale. DETAILED DESCRIPTION

[0030] To make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings.

[0031] Prior art (CN112703457A) relates to an industrial machine predictive maintenance system that may include an industrial machine data analysis facility, which generates an industrial machine health monitoring data stream by applying machine learning to data received through a data collection network that represents the condition of a part of the industrial machine. The system may include an industrial machine predictive maintenance facility, which generates industrial machine service recommendations in response to the health monitoring data by applying machine fault detection and classification algorithms to the health monitoring data. The system may also include a computer maintenance management system that generates orders and / or requests for services and parts in response to the industrial machine service recommendations. The system may include a service and delivery coordination facility that processes information about services performed on industrial machines in response to orders and / or requests for services and parts, thereby verifying the services performed while generating service activity ledgers and results for each industrial machine.

[0032] It can be seen that the prior art (CN112703457A) only mentions the two keywords mud pump and digital twin, and there is no direct connection between the mud pump and the digital twin in the prior art (CN112703457A). Therefore, the prior art (CN112703457A) does not disclose the digital twin of the mud pump used for drilling.

[0033] The prior art (WO2020072720A1) provides a method that may include: receiving time series data acquired during equipment operation at multiple natural resource sites; and detecting operation events using the time series data; ranking the operation events; associating each operation event with a corresponding operation action; and outputting at least a portion of the sorted operation events, each event having its corresponding operation action.

[0034] It can be seen that although the prior art (WO2020072720A1) is applied to oilfield systems, it also discloses the two keywords mud pump and digital twin. However, there is no direct connection between the mud pump and the digital twin in the prior art (WO2020072720A1). Therefore, the prior art (WO2020072720A1) does not disclose the digital twin of the mud pump used for drilling.

[0035] Prior art (WO2020159564A1) relates to the possibility of creating an adaptive digital twin in a wellbore environment. The adaptive digital twin module contains an independent Ensemble Kalman filter (EnKF) module and a constant parameter digital twin module developed for a fixed environment. The independent module of EnKF receives streaming measurement data from multiple sensors and receives prediction data from the digital twin, and runs the EnKF independent module using the broadcasted measurement data and prediction data from the digital twin. The result of running the EnKF independent module is that the input parameters of the digital twin are corrected and transmitted to the digital twin. The digital twin output prediction is used to modify the functional parameters of the oil and gas recovery process.

[0036] It can be seen that the prior art (WO2020159564A1) involves the concept of digital twins, and the prior art (WO2020159564A1) points out the prediction of digital twins 320 for oil or gas process development, for example, to predict the oil production in the next week. However, the prior art (WO2020159564A1) does not point out that a mud pump used for drilling can be digitally twinned, nor does it disclose a specific method for digitally twinning a mud pump.

[0037] In view of the above-mentioned defects of the prior art, the present invention constructs a digital twin mapping model through a mud pump entity, and the digital twin is connected to the device entity through the digital twin mapping model; the sensor is installed on the mud pump, connected to the device through a data interface, and the digital twin mapping model is used to collect relevant data and parse the protocol. The present invention realizes the virtual-real interaction of the mud pump device entity in the digital space, which helps to improve the inherent safety of the mud pump. The present invention realizes the digital twin of the mud pump, which can diagnose and predict equipment faults, optimize the production process, and monitor the quality of the product in real time.

[0038] Figure 1 A flowchart of the steps of a digital twin method for a drilling mud pump according to an embodiment of the present invention is shown.

[0039] like Figure 1 As shown, in step S101, a mud pump static model including a power end static model, a hydraulic end static model, and an auxiliary static model is constructed according to the structural characteristics of the drilling mud pump.

[0040] In one embodiment, in step S101, the static model of the power end includes but is not limited to: a static model of the base and the frame, a static model of the gear shaft assembly, a static model of the crankshaft assembly, a static model of the crosshead assembly, and a static model of the motor. Specifically, the power end of the mud pump includes but is not limited to: a base, a frame, a pinion shaft assembly, a large gear shaft assembly, a crankshaft assembly, a crosshead assembly, and a motor (such as a DC motor). When constructing the static model of the power end, it is necessary to construct static models of these components of the power end.

[0041] In one embodiment, in step S101, the static model of the hydraulic end includes but is not limited to: a static model of a cylinder assembly, a static model of a valve assembly, a static model of a piston assembly, a static model of a manifold assembly, and a static model of a spray pump assembly. Specifically, the cylinder assembly of a mud pump includes but is not limited to: a cylinder, a cylinder sleeve, a cylinder head, etc. The valve assembly of a mud pump includes but is not limited to: a suction valve, a discharge valve, a valve cover, etc. The piston assembly of a mud pump includes but is not limited to: a piston, a piston rod (plunger, packing and cylinder sleeve), etc. The manifold assembly of a mud pump includes but is not limited to: a suction pipe, a discharge pipe, etc. Furthermore, static models can also be constructed for the suction air bag (to reduce water hammer), the discharge filter assembly, and the discharge air bag of the mud pump.

[0042] In one embodiment, in step S101 , the auxiliary static model includes but is not limited to: a lubrication mechanism static model and a safety valve static model.

[0043] In one embodiment, in step S101, a mud pump static model including a power end static model, a hydraulic end static model, and an auxiliary static model is constructed by the following steps: three-dimensional geometric modeling of the system is performed based on the entity of the target system, and the appearance, shape, proportion and structure of the target system are restored to obtain a mud pump static model.

[0044] Furthermore, the mud pump static model is consistent with the basic identity information of the target mud pump, wherein the basic identity information includes but is not limited to: model, name, models of each core component and specifications of the core components.

[0045] like Figure 1 As shown, in step S102, based on the static model of the mud pump, the real-time drilling production data during the drilling process and the real-time operation data of the mud pump are accessed to build a mud pump database.

[0046] In one embodiment, in step S102, the real-time drilling production data includes but is not limited to: daily drilling report, real-time data of mud logger, and intelligent monitoring data of well control.

[0047] In one embodiment, in step S102, the real-time operation data of the mud pump includes but is not limited to: rotation speed, displacement, pump pressure, pump stroke, motor current, voltage, and active power.

[0048] like Figure 1 As shown, in step S103, the static model of the mud pump is data-driven according to the data categories of the real-time drilling production data and the real-time operation data of the mud pump to obtain a digital twin model of the mud pump that is synchronized with the real-time drilling process.

[0049] In one embodiment, in step S103, the data categories of the real-time drilling production data and the real-time mud pump operation data include but are not limited to: drilling conditions, circulation conditions, and tripping conditions.

[0050] In one embodiment, in step S103, the static model of the mud pump is data-driven through the following steps: comprehensively analyzing the logical association between the real-time drilling production data and the real-time operation data of the mud pump, forming a multivariable algorithm model, decomposing the actions of each system under different working conditions, forming a correspondence, and realizing the triggering of the target system action under the conditions of changes in the real-time drilling production data and the real-time operation data of the mud pump.

[0051] In one embodiment, a digital twin method for a mud pump for drilling further includes: based on the digital twin model of the mud pump, performing model rendering, and realizing two-dimensional chart and three-dimensional roaming effect display.

[0052] Specifically, based on modeling and data-driven, the synthesis of the overall twin of the mud pump is formed to achieve the development of effects such as model rendering, two-dimensional charts and roaming.

[0053] In one embodiment, a digital twin method for a mud pump for drilling further includes: for the digital twin model of the mud pump, rapid replication of models of different models and manufacturers is achieved through system model replacement and different data access operations.

[0054] Specifically, based on the digital twin model that has been built, rapid replication of different mud pump models can be achieved through operations such as equipment model replacement and data access.

[0055] The present invention constructs a device entity (mud pump), a digital twin and a digital twin mapping model. The digital twin is connected to the device entity through the digital twin mapping model. The sensor is installed on the device entity and connected to the device through a data interface. The digital twin mapping model is used to collect relevant data and parse the protocol. The modeling and data interaction of the device entity in the digital space are realized.

[0056] Figure 2 A schematic diagram of the construction process of a mud pump digital twin model according to an embodiment of the present invention is shown.

[0057] like Figure 2 As shown, a mud pump static model 201 is constructed, and a mud pump static model 201 including a power end static model, a hydraulic end static model, and an auxiliary static model is constructed. Among them, the power end static model includes but is not limited to: a base and frame static model, a gear shaft assembly static model, a crankshaft assembly static model, a crosshead assembly static model, and a motor static model. The hydraulic end static model includes but is not limited to: a cylinder assembly static model, a valve assembly static model, a piston assembly static model, a manifold assembly static model, and a spray pump assembly static model. The auxiliary static model includes but is not limited to: a lubrication mechanism static model and a safety valve static model.

[0058] Specifically, three-dimensional geometric modeling of the system is performed based on the entity of the target system to restore the appearance, shape, proportion and structure of the target system to obtain a mud pump static model 201.

[0059] like Figure 2 As shown, a mud pump database 202 is constructed, mainly based on the mud pump static model 201, which quickly accesses the real-time drilling production data and mud pump operation data during the drilling process. Specifically, the real-time drilling production data includes but is not limited to: daily drilling report, real-time logging data, and well control intelligent monitoring data. The real-time mud pump operation data includes but is not limited to: speed, displacement, pump pressure, pump stroke, motor current, voltage, and active power.

[0060] like Figure 2 As shown, the digital twin model 203 of the mud pump is constructed, mainly based on the data category actually accessed to realize the data-driven effect of the data-related equipment, and realize the linkage between data and the model. Among them, the data categories of the real-time data of drilling production and the real-time data of the mud pump operation include but are not limited to: drilling conditions, circulation conditions, and drilling conditions. Specifically, the real-time data collected from the on-site acquisition equipment is connected to the digital twin system, and the logical association relationship between the real-time data groups is comprehensively analyzed to form a multivariate algorithm model to realize the virtual-real synchronization under the conditions of drilling, circulation, and drilling driven by real-time data. Further, the logical association relationship between the real-time data of drilling production and the real-time data of the mud pump operation is comprehensively analyzed to form a multivariate algorithm model, decompose the actions of each system under different working conditions, form a correspondence, and realize the triggering of the target system action under the conditions of changes in the real-time data of drilling production and the real-time data of the mud pump operation.

[0061] The present invention can improve the performance of the mud pump, reduce the maintenance cost, reduce unplanned downtime, and lay a foundation for the predictability of the mud pump.

[0062] The digital twin of the mud pump provided by the present invention can help enterprises diagnose and predict equipment failures. By combining the data of the actual mud pump equipment with the digital model, the operating status of the mud pump can be monitored in real time, and an alarm will be immediately issued when the mud pump fails or is abnormal. In this way, the enterprise can take timely measures to repair the mud pump, avoid long production line downtime, and improve production efficiency.

[0063] The digital twin of the mud pump provided by the present invention can also help enterprises to control product quality. By monitoring the operating data of the mud pump, the quality status of the product can be analyzed in real time, and when quality problems occur in the product, they can be traced back to the specific equipment and production process in a timely manner. In this way, the enterprise can find out the cause of the quality problem in a timely manner and take corresponding corrective measures to ensure that the quality of the product meets the standards and improve user satisfaction.

[0064] The digital twin method of a drilling mud pump provided by the present invention can also be used in conjunction with a computer-readable storage medium, on which a computer program is stored, and the computer program is executed to run a digital twin method of a drilling mud pump. The computer program can run computer instructions, and the computer instructions include computer program code, which can be in source code form, object code form, executable file, or some intermediate form.

[0065] Computer-readable storage media may include: any entity or device that can carry computer program code, recording media, USB flash drives, mobile hard disks, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0066] It should be noted that the content contained in computer-readable storage media can be appropriately increased or decreased based on the requirements of legislation and patent practices in the jurisdiction. For example, in some jurisdictions, based on legislation and patent practices, computer-readable storage media do not include electrical carrier signals and telecommunications signals.

[0067] Figure 3 A module composition diagram of a digital twin device of a drilling mud pump according to an embodiment of the present invention is shown.

[0068] According to another aspect of the present invention, a digital twin device 300 for a drilling mud pump is provided, which executes a digital twin method for a drilling mud pump. The device includes: a mud pump static model module 301, a mud pump database module 302, and a mud pump digital twin model module 303.

[0069] The mud pump static model module 301 is used to construct a mud pump static model including a power end static model, a hydraulic end static model, and an auxiliary static model according to the structural characteristics of the mud pump used for drilling.

[0070] The mud pump database module 302 is used to access the real-time drilling production data and the real-time operation data of the mud pump during the drilling process based on the mud pump static model to build a mud pump database.

[0071] The mud pump digital twin model module 303 is used to data-drive the mud pump static model according to the data categories of the real-time drilling production data and the real-time mud pump operation data, so as to obtain a mud pump digital twin model that is synchronized with the real-time drilling process.

[0072] In one embodiment, in the mud pump static model module 301, the power end static model includes but is not limited to: base and frame static model, gear shaft assembly static model, crankshaft assembly static model, crosshead assembly static model, motor static model. The hydraulic end static model includes but is not limited to: cylinder assembly static model, valve assembly static model, piston assembly static model, manifold assembly static model, spray pump assembly static model. The auxiliary static model includes but is not limited to: lubrication mechanism static model and safety valve static model.

[0073] In one embodiment, in the mud pump static model module 301, a mud pump static model including a power end static model, a hydraulic end static model, and an auxiliary static model is constructed through the following steps: three-dimensional geometric modeling of the system is performed based on the entity of the target system, and the appearance, shape, proportion and structure of the target system are restored to obtain a mud pump static model.

[0074] In one embodiment, in the mud pump database module 302, the real-time data of drilling production includes but is not limited to: daily drilling report, real-time data of mud logging instrument, and intelligent monitoring data of well control. The real-time data of mud pump operation includes but is not limited to: speed, displacement, pump pressure, pump stroke, motor current, voltage, and active power.

[0075] In one embodiment, in the mud pump digital twin model module 303, the data categories of the real-time drilling production data and the real-time mud pump operation data include but are not limited to: drilling conditions, circulation conditions, and tripping conditions.

[0076] In one embodiment, in the mud pump digital twin model module 303, the mud pump static model is data-driven through the following steps: comprehensively analyze the logical association between the real-time drilling production data and the real-time operation data of the mud pump, form a multivariable algorithm model, decompose the actions of each system under different working conditions, form a correspondence, and realize the triggering of target system actions under the conditions of changes in the real-time drilling production data and the real-time operation data of the mud pump.

[0077] In one embodiment, the digital twin device 300 of the drilling mud pump further includes: a model rendering module, which is used to perform model rendering based on the digital twin model of the mud pump and realize two-dimensional charts and three-dimensional roaming effect display.

[0078] In one embodiment, the digital twin device 300 for a drilling mud pump further includes: a fast replication module, which is used to achieve fast replication of models of different models and manufacturers for the digital twin model of the mud pump through system model replacement and different data access operations.

[0079] In summary, the present invention provides a digital twin method for a drilling mud pump, which has the following advantages compared with the prior art:

[0080] The present invention can improve the performance of the mud pump, reduce the maintenance cost, reduce unplanned downtime, and lay a foundation for the predictability of the mud pump.

[0081] The digital twin of the mud pump provided by the present invention can help enterprises diagnose and predict equipment failures. By combining the data of the actual mud pump equipment with the digital model, the operating status of the mud pump can be monitored in real time, and an alarm will be immediately issued when the mud pump fails or is abnormal. In this way, the enterprise can take timely measures to repair the mud pump, avoid long production line downtime, and improve production efficiency.

[0082] The digital twin of the mud pump provided by the present invention can also help enterprises to control product quality. By monitoring the operating data of the mud pump, the quality status of the product can be analyzed in real time, and when quality problems occur in the product, they can be traced back to the specific equipment and production process in a timely manner. In this way, the enterprise can find out the cause of the quality problem in a timely manner and take corresponding corrective measures to ensure that the quality of the product meets the standards and improve user satisfaction.

[0083] It should be understood that the embodiments disclosed in the present invention are not limited to the specific structures, processing steps or materials disclosed herein, but should be extended to equivalent substitutions of these features understood by ordinary technicians in the relevant field. It should also be understood that the terms used herein are only used for the purpose of describing specific embodiments and are not meant to be limiting.

[0084] In the description of the present invention, unless otherwise specified, "plurality" means two or more than two; the orientations or positional relationships indicated by the terms "upper", "lower", "left", "right", "inner", "outer", "front end", "rear end", "head", "tail", etc. are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", "third", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0085] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "connected" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0086] Certain terms are used throughout this application document to indicate specific system components. As those skilled in the art will recognize, different names can usually be used to indicate the same components, so this application document is not intended to distinguish those components that are only different in name but not in function. In this application document, the terms "comprise", "include" and "have" are used in an open form, and therefore should be interpreted as meaning "including but not limited to...". In addition, the terms "substantially", "substantially" or "approximately" that may be used in this article relate to the tolerances of the corresponding terms accepted by the industry. The term "coupling" as may be used in this article includes direct coupling and indirect coupling via other components, elements, circuits, or modules, wherein for indirect coupling, the components, elements, circuits, or modules between them do not change the information of the signal but can adjust its current level, voltage level, and / or power level. Inferred coupling (for example, one of the elements is coupled to another element by inference) includes direct and indirect coupling between two elements in the same way as "coupling".

[0087] The "one embodiment" or "embodiment" mentioned in the specification means that the specific features, structures or characteristics described in conjunction with the embodiment are included in at least one embodiment of the present invention. Therefore, the phrases "one embodiment" or "embodiment" appearing in various places throughout the specification do not necessarily refer to the same embodiment.

[0088] The embodiments of the present invention are given for the purpose of illustration and description, and are not intended to be exhaustive or to limit the invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0089] Although the embodiments disclosed in the present invention are as above, the contents described are only embodiments adopted for facilitating the understanding of the present invention and are not intended to limit the present invention. Any technician in the technical field to which the present invention belongs can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present invention, but the patent protection scope of the present invention shall still be subject to the scope defined in the attached claims.

Claims

1. A digital twin method for a drilling mud pump, characterized in that: The method comprises: According to the structural characteristics of the drilling mud pump, a static model of the mud pump is constructed, which includes a power end static model, a hydraulic end static model, and an auxiliary static model. Based on the mud pump static model, the real-time drilling production data and the real-time operation data of the mud pump during the drilling process are accessed to build a mud pump database; According to the data categories of the real-time drilling production data and the real-time operation data of the mud pump, the static model of the mud pump is data-driven to obtain a digital twin model of the mud pump that is synchronized with the real-time drilling process.

2. A digital twin method for a drilling mud pump according to claim 1, characterized in that: The power end static model includes but is not limited to: a base and frame static model, a gear shaft assembly static model, a crankshaft assembly static model, a crosshead assembly static model, and a motor static model; the hydraulic end static model includes but is not limited to: a cylinder assembly static model, a valve assembly static model, a piston assembly static model, a manifold assembly static model, and a spray pump assembly static model; the auxiliary static model includes but is not limited to: a lubrication mechanism static model and a safety valve static model.

3. A drilling mud pump digital twin method according to claim 1 or 2, characterized in that: The mud pump static model including the power end static model, the hydraulic end static model and the auxiliary static model is constructed by the following steps: three-dimensional geometric modeling of the system is performed based on the entity of the target system, the appearance, shape, proportion and structure of the target system are restored, and the mud pump static model is obtained.

4. A digital twin method for a drilling mud pump according to any one of claims 1 to 3, characterized in that: The real-time drilling production data includes but is not limited to: daily drilling report, real-time logging data, and well control intelligent monitoring data; the real-time mud pump operation data includes but is not limited to: speed, displacement, pump pressure, pump stroke, motor current, voltage, and active power.

5. A digital twin method for a drilling mud pump according to any one of claims 1 to 4, characterized in that: The data categories of the real-time drilling production data and the real-time mud pump operation data include but are not limited to: drilling conditions, circulation conditions, and tripping conditions.

6. A drilling mud pump digital twin method as claimed in claim 5, characterized in that: The mud pump static model is data-driven through the following steps: comprehensively analyze the logical association between the real-time drilling production data and the real-time operation data of the mud pump, form a multivariable algorithm model, decompose the actions of each system under different working conditions, form a correspondence, and realize the triggering of target system actions under the conditions of changes in the real-time drilling production data and the real-time operation data of the mud pump.

7. A digital twin method for a drilling mud pump according to any one of claims 1 to 6, characterized in that: The method also includes: performing model rendering based on the mud pump digital twin model, and realizing two-dimensional chart and three-dimensional roaming effect display.

8. A digital twin method for a drilling mud pump according to any one of claims 1 to 7, characterized in that: The method further includes: for the mud pump digital twin model, by replacing the system model and performing different data access operations, achieving rapid replication of models of different models and manufacturers.

9. A storage medium, characterized in that: It contains a series of instructions for executing the steps of a digital twin method for a drilling mud pump as described in any one of claims 1-8.

10. A digital twin device for a drilling mud pump, characterized in that: A method for digital twinning a drilling mud pump according to any one of claims 1 to 8 is performed, wherein the device comprises: The mud pump static model module is used to construct a mud pump static model including a power end static model, a hydraulic end static model, and an auxiliary static model according to the structural characteristics of the drilling mud pump; A mud pump database module is used to access the real-time drilling production data and the real-time operation data of the mud pump during the drilling process based on the static model of the mud pump to build a mud pump database; The mud pump digital twin model module is used to data-drive the mud pump static model according to the data categories of the real-time drilling production data and the real-time operation data of the mud pump, so as to obtain a mud pump digital twin model that is synchronized with the real-time drilling process.

Citation Information

Patent Citations

  • Methods and systems for data collection, learning, and streaming of machine signals for analytics and maintenance using the industrial internet of things

    CN112703457A

  • Oilfield system

    WO2020072720A1

  • Constructing digital twins for oil and gas recovery using ensemble kalman filter

    WO2020159564A1

  • Coal mining machine virtual-real interactive system based on digital twin and construction method thereof

    CN113722979A

  • Digital twinborn simulation method, device and system for motion state of underground drill bit

    CN115898336A

Cited By

  • Digital twinning method for top drive of drilling machine

    CN119720458A

  • Intelligent slurry pump fault diagnosis system based on digital twinning

    CN121561712A