Drilling pump pressure monitoring method and system, electronic equipment and storage medium

Abstract

The invention discloses a drilling pump pressure monitoring method and system, electronic equipment and a storage medium. The drilling pump pressure monitoring method comprises the steps that drilling parameter data are acquired; inputting the drilling parameter data into a preset target pumping pressure prediction model to obtain a target pumping pressure value; obtaining a target curve according to the drilling parameter data; and early warning information is determined according to the target curve and the target pumping pressure value. The target pump pressure value is obtained by using the target pump pressure prediction model, the target curve is obtained based on the drilling parameter data, and the early warning information is obtained according to the target curve and the target pump pressure value, so that difference and instability of subjective judgment can be avoided, accurate monitoring of the drilling pump pressure is realized, and the reliability of drilling pump pressure monitoring is effectively improved.

Description

Technical Field

[0001] The present application relates to, but is not limited to, the field of drilling data processing technology, and in particular to a drilling pump pressure monitoring method, system, electronic equipment and storage medium. Background Art

[0002] During drilling operations, instability of the wellbore wall or blocking of the wellbore annulus by the cuttings bed can cause a sharp increase in the drilling pump pressure, which can easily lead to problems such as well leakage, drilling tool blocking or lifting, and even blockage of the wellbore annulus, resulting in a serious drilling stuck accident. In related technologies, manual continuous monitoring of drilling parameters such as pump pressure and displacement is usually adopted, and the pump pressure trend is judged based on subjective experience. When the pump pressure deviates from the normal trend line or the pump pressure suddenly increases, a report is issued. However, the manual monitoring method has the problem of heavy manual workload, prone to late reporting, missed reporting, and wrong reporting, lack of standardized monitoring methods, and the inability to accurately monitor the pump pressure trend based on subjective experience. There is also the problem of low reliability of drilling pump pressure monitoring. Summary of the invention

[0003] The embodiments of the present application provide a drilling pump pressure monitoring method, system, electronic device and storage medium, which can effectively improve the reliability of drilling pump pressure monitoring.

[0004] In a first aspect, an embodiment of the present application provides a drilling pump pressure monitoring method, comprising:

[0005] Obtain drilling parameter data;

[0006] Inputting the drilling parameter data into a preset target pump pressure prediction model to obtain a target pump pressure value;

[0007] Obtaining a target curve according to the drilling parameter data;

[0008] The warning information is determined according to the target curve and the target pump pressure value.

[0009] The drilling pump pressure monitoring method according to the first aspect of the embodiment of the present application has at least the following beneficial effects: obtaining drilling parameter data, and performing data processing based on real-time drilling data, which can effectively ensure the timeliness and reliability of drilling pump pressure monitoring. The drilling parameter data is input into a preset target pump pressure prediction model to obtain a target pump pressure value to predict the drilling pump pressure, so as to judge whether the pump pressure is abnormal based on the target pump pressure value, and effectively ensure the reliability of drilling pump pressure monitoring. A target curve is obtained based on the drilling parameter data, and abnormal data in the drilling parameter data can be more intuitively monitored based on the target curve. Early warning information is determined based on the target curve and the target pump pressure value, so that corresponding countermeasures can be made in a timely manner based on the early warning information, providing strong technical support for drilling work. According to the technical solution of the present application, the target pump pressure value is obtained by using the target pump pressure prediction model, the target curve is obtained based on the drilling parameter data, and then the early warning information is obtained based on the target curve and the target pump pressure value. Compared with the related technology of using manual continuous monitoring of drilling parameters such as pump pressure and displacement, the technical solution of judging the pump pressure trend based on subjective experience can avoid the differences and instability of subjective judgment, realize accurate monitoring of drilling pump pressure, and effectively improve the reliability of drilling pump pressure monitoring.

[0010] According to some embodiments of the first aspect of the present application, the target pump pressure prediction model is trained by the following steps:

[0011] Obtaining initial drilling data set and historical pump pressure values;

[0012] The initial drilling data set is processed according to a preset safe pump pressure calculation formula to obtain a safe pump pressure value;

[0013] Processing the initial drilling data set according to a preset pump pressure calculation formula to obtain a pump pressure prediction value;

[0014] The target pump pressure prediction model is trained according to the safety pump pressure value, the pump pressure prediction value and the historical pump pressure value.

[0015] According to some embodiments of the first aspect of the present application, the initial drilling data set is processed according to a preset pump pressure calculation formula to obtain a pump pressure prediction value, including:

[0016] Using a preset sliding window algorithm, the initial drilling data set is classified according to a preset reference interval value to obtain a drilling sub-data set;

[0017] Extracting features from the drilling sub-dataset to obtain a feature data set;

[0018] The characteristic data set is processed according to the preset pump pressure calculation formula to obtain the pump pressure prediction value.

[0019] According to some embodiments of the first aspect of the present application, the training of the target pump pressure prediction model according to the safety pump pressure value, the pump pressure prediction value and the historical pump pressure value includes:

[0020] Determine the loss value of the pump pressure prediction model according to the pump pressure prediction value and the historical pump pressure value, and obtain an initial pump pressure prediction model by training according to the loss value;

[0021] The initial pump pressure prediction model is optimized using the safety pump pressure value to obtain a target pump pressure prediction model.

[0022] According to some embodiments of the first aspect of the present application, after acquiring the drilling parameter data, the method further includes:

[0023] The drilling parameter data is preprocessed using a preset edge computing algorithm to obtain new drilling parameter data.

[0024] According to some embodiments of the first aspect of the present application, after determining the warning information according to the target curve and the target pump pressure value, the method further includes:

[0025] According to the warning information and preset warning rules, the preset warning device is triggered to respond.

[0026] According to some embodiments of the first aspect of the present application, the target curve includes at least one of an SPP parameter curve, an MFIA parameter curve, a WOB parameter curve, and an RPM parameter curve.

[0027] In a second aspect, an embodiment of the present application provides a drilling pump pressure monitoring system, the system comprising:

[0028] A drilling data acquisition module, used to acquire drilling parameter data;

[0029] A pump pressure value calculation module, used for inputting the drilling parameter data into a preset target pump pressure prediction model to obtain a target pump pressure value;

[0030] A curve processing module, used for obtaining a target curve according to the drilling parameter data;

[0031] The early warning module is used to determine early warning information according to the target curve and the target pump pressure value.

[0032] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the drilling pump pressure monitoring method as described in the first aspect is implemented.

[0033] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, characterized in that: the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the drilling pump pressure monitoring method as described in the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The accompanying drawings are used to provide a further understanding of the technical solution 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 technical solution of the present invention and do not constitute a limitation on the technical solution of the present invention.

[0035] Figure 1 This is an optional step flow chart of the drilling pump pressure monitoring method provided in the embodiment of the present application;

[0036] Figure 2 This is an optional step flow chart of the training target pump pressure prediction model provided in the embodiment of the present application;

[0037] Figure 3 This is an optional step flow chart of the method for calculating the pump pressure prediction value provided in the embodiment of the present application;

[0038] Figure 4 This is an optional step flow chart of the method for obtaining a target pump pressure prediction model provided in an embodiment of the present application;

[0039] Figure 5 is another optional step flow chart of the drilling pump pressure monitoring method provided in the embodiment of the present application;

[0040] Figure 6 is another optional step flow chart of the drilling pump pressure monitoring method provided in the embodiment of the present application;

[0041] Figure 7 This is an optional module diagram of a drilling pump pressure monitoring system provided in an embodiment of the present application;

[0042] Figure 8 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0044] In the description of this application, “several” means one or more, “more” means more than two, “greater than”, “less than”, “exceed”, etc. are understood to exclude the number, and “above”, “below”, “within”, etc. are understood to include the number.

[0045] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims or the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0046] During drilling operations, instability of the wellbore wall or blocking of the wellbore annulus by the cuttings bed can cause a sharp increase in the drilling pump pressure, which can easily lead to problems such as well leakage, drilling tool blocking or lifting, and even blockage of the wellbore annulus, resulting in a serious drilling stuck accident. In related technologies, manual continuous monitoring of drilling parameters such as pump pressure and displacement is usually adopted, and the pump pressure trend is judged based on subjective experience. When the pump pressure deviates from the normal trend line or the pump pressure suddenly increases, a report is issued. However, the manual monitoring method has the problem of heavy manual workload, prone to late reporting, missed reporting, and wrong reporting, lack of standardized monitoring methods, and the inability to accurately monitor the pump pressure trend based on subjective experience. There is also the problem of low reliability of drilling pump pressure monitoring.

[0047] In view of the problem of low reliability of drilling pump pressure monitoring, the present application provides a drilling pump pressure monitoring method, system, electronic device and storage medium, including obtaining drilling parameter data; inputting the drilling parameter data into a preset target pump pressure prediction model to obtain a target pump pressure value; obtaining a target curve according to the drilling parameter data; and determining early warning information according to the target curve and the target pump pressure value. The drilling parameter data is obtained and data processing is performed based on real-time drilling data, which can effectively ensure the timeliness and reliability of drilling pump pressure monitoring. The drilling parameter data is input into a preset target pump pressure prediction model to obtain a target pump pressure value to predict the drilling pump pressure, so as to judge whether the pump pressure is abnormal according to the target pump pressure value, and effectively ensure the reliability of drilling pump pressure monitoring. The target curve is obtained according to the drilling parameter data, and the abnormal data in the drilling parameter data can be more intuitively monitored based on the target curve. The early warning information is determined according to the target curve and the target pump pressure value, so as to make corresponding countermeasures in time according to the early warning information, and provide strong technical support for drilling work. According to the technical solution of the present application, the target pump pressure value is obtained by using the target pump pressure prediction model, the target curve is obtained based on the drilling parameter data, and then the early warning information is obtained based on the target curve and the target pump pressure value. Compared with the related technology of using manual continuous monitoring of drilling parameters such as pump pressure and displacement, the technical solution of judging the pump pressure trend based on subjective experience can avoid the differences and instability of subjective judgment, realize accurate monitoring of drilling pump pressure, and effectively improve the reliability of drilling pump pressure monitoring.

[0048] The drilling pump pressure monitoring method, system, electronic device and storage medium provided in the embodiments of the present application are specifically explained through the following embodiments. First, the drilling pump pressure monitoring method in the embodiments of the present application is described. The drilling pump pressure monitoring method provided in the embodiments of the present application relates to the field of drilling data processing technology. The drilling pump pressure monitoring method provided in the embodiments of the present application can be applied to a terminal, or to a server side, or can be software running in a terminal or a server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the drilling pump pressure monitoring method, etc., but is not limited to the above forms.

[0049] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0050] It should be noted that in each specific implementation of the present application, when it comes to the need to perform relevant processing based on data related to user identity or characteristics such as user information, user behavior data, user historical data, and user location information, the user's permission or consent will be obtained first, and the collection, use, and processing of these data will comply with relevant laws, regulations, and standards. In addition, when the embodiment of the present application needs to obtain the user's sensitive personal information, the user's separate permission or consent will be obtained through a pop-up window or by jumping to a confirmation page. After clearly obtaining the user's separate permission or consent, the necessary user-related data for the normal operation of the embodiment of the present application will be obtained.

[0051] The embodiments of the present application are further described below in conjunction with the accompanying drawings.

[0052] Reference Figure 1 , Figure 1 This is an optional step flow chart of the drilling pump pressure monitoring method provided in the embodiment of the present application. The drilling pump pressure monitoring method includes but is not limited to the following steps:

[0053] Step S110, obtaining drilling parameter data;

[0054] Step S120, inputting the drilling parameter data into a preset target pump pressure prediction model to obtain a target pump pressure value;

[0055] Step S130, obtaining a target curve according to the drilling parameter data;

[0056] Step S140, determining warning information according to the target curve and the target pump pressure value.

[0057] It should be noted that the embodiments of the present application do not limit the specific content of the drilling parameter data, which may include parameters such as pump pressure, inlet and outlet flow, pump strokes, drilling pressure, rotation speed, suspended weight, etc., and may also include parameters such as drilling fluid performance, pump volume, pump rate, etc. It may also include parameters such as wellhead logging, geology and well control data. There is no limitation here and it can be adjusted according to actual conditions.

[0058] It should be noted that the embodiment of the present application does not limit the specific type of the target curve, which may be a bar graph, a broken line graph, or a column line graph. It is understandable that the use of a bar line graph can more intuitively display abnormal data in the drilling parameter data. The embodiment of the present application does not limit the specific content of the target curve, which may include one of the SPP parameter curve (standpipe pressure parameter curve), the MFIA parameter curve (mud inlet displacement parameter curve), the WOB parameter curve (bit pressure parameter curve), and the RPM parameter curve (speed parameter curve).

[0059] It is understandable that with the increasing workload of drilling operations, the use of manual monitoring will increase the workload of staff, which is prone to fatigue, and there are differences in the operating experience of each staff member, which can easily cause monitoring delays, omissions, and misreporting, which can easily cause accidents in drilling operations. The technical solution of the present application obtains drilling parameter data and processes data based on real-time drilling data, which can effectively ensure the timeliness and reliability of drilling pump pressure monitoring. The drilling parameter data is input into a preset target pump pressure prediction model to obtain a target pump pressure value to predict the drilling pump pressure, so as to determine whether the pump pressure is abnormal based on the target pump pressure value, effectively ensuring the reliability of drilling pump pressure monitoring. The target curve is obtained based on the drilling parameter data, and the abnormal data in the drilling parameter data can be more intuitively monitored based on the target curve. The warning information is determined based on the target curve and the target pump pressure value, so that corresponding countermeasures can be made in a timely manner based on the warning information, providing strong technical support for drilling work. According to the technical solution of the present application, the target pump pressure value is obtained by using the target pump pressure prediction model, the target curve is obtained based on the drilling parameter data, and then the early warning information is obtained based on the target curve and the target pump pressure value. Compared with the related technology of using manual continuous monitoring of drilling parameters such as pump pressure and displacement, the technical solution of judging the pump pressure trend based on subjective experience can avoid the differences and instability of subjective judgment, realize accurate monitoring of drilling pump pressure, and effectively improve the reliability of drilling pump pressure monitoring.

[0060] It can be understood that the target pump pressure value is obtained by using the target pump pressure prediction model, the target curve is obtained based on the drilling parameter data, and then the early warning information is obtained based on the target curve and the target pump pressure value. Compared with the technical solution of manually calculating the pump pressure based on experience, it can effectively improve the data processing efficiency of the drilling parameter data, avoid manual calculation errors, and effectively ensure the reliability of drilling pump pressure monitoring.

[0061] It can be understood that, in one embodiment, when the slope of the target curve is greater than the preset safety slope, it indicates that the drilling pump pressure corresponding to the current drilling parameter data is abnormal; when the target pump pressure value is greater than the preset safety pump pressure value, it indicates that the future drilling pump pressure is abnormal. The safety pump pressure value can be calculated based on the currently acquired drilling parameter data.

[0062] In addition, refer to Figure 2 , Figure 2 This is an optional step flow chart of the training target pump pressure prediction model provided in the embodiment of the present application. The training target pump pressure prediction model includes but is not limited to the following steps:

[0063] Step S210, obtaining an initial drilling data set and historical pump pressure values;

[0064] Step S220, processing the initial drilling data set according to a preset safe pump pressure calculation formula to obtain a safe pump pressure value;

[0065] Step S230, processing the initial drilling data set according to a preset pump pressure calculation formula to obtain a pump pressure prediction value;

[0066] Step S240: training a target pump pressure prediction model according to the safe pump pressure value, the pump pressure prediction value and the historical pump pressure value.

[0067] It should be noted that the embodiments of the present application do not limit the specific content of the initial drilling data set. It can be understood that the initial drilling data set includes multiple groups of initial drilling data, wherein the initial drilling data may include data such as pump pressure, inlet and outlet flow, pump strokes, drilling pressure, rotation speed, suspended weight, etc., and may also include data such as drilling fluid performance, pump volume, pump rate, etc., and may also include wellhead logging, geological and well control data, etc., which are not limited here and can be adjusted according to actual conditions.

[0068] It is understandable that the initial drilling data set and the historical pump pressure value are obtained so that the initial drilling data set can be processed according to the preset safe pump pressure calculation formula to obtain the safe pump pressure value to determine the safe pump pressure value corresponding to each group of initial drilling data. Based on the safe pump pressure value, it is judged whether the drilling pump pressure is within the safe pump pressure value range, and then whether the drilling pump pressure is abnormal, which can effectively ensure the reliability of drilling pump pressure monitoring. Then, the initial drilling data set is processed according to the preset pump pressure calculation formula to obtain the pump pressure prediction value to determine the pump pressure prediction value corresponding to each group of initial drilling data. Based on the pump pressure prediction value, the drilling pump pressure can be judged in advance, and the accurate early warning of drilling pump pressure abnormality can be achieved. According to the safe pump pressure value, the pump pressure prediction value and the historical pump pressure value, the target pump pressure prediction model is trained to realize the intelligent prediction of the pump pressure, which can effectively ensure the reliability of the target pump pressure prediction model, and then effectively ensure the reliability of drilling pump pressure monitoring.

[0069] In addition, refer to Figure 3 , in one embodiment, Figure 2 Step S230 in the illustrated embodiment also includes but is not limited to the following steps:

[0070] Step S310, using a preset sliding window algorithm, classifying the initial drilling data set according to a preset reference interval value to obtain a drilling sub-data set;

[0071] Step S320, extracting features from the drilling sub-dataset to obtain a feature data set;

[0072] Step S330, processing the characteristic data set according to a preset pump pressure calculation formula to obtain a pump pressure prediction value.

[0073] It should be noted that the embodiment of the present application does not limit the specific value of the reference interval value, which can be 20 points, 40 points, or 60 points, and can be adjusted according to actual conditions. It is understandable that using 40 points as the reference interval value can effectively improve the efficiency of data processing while ensuring the reliability of data processing.

[0074] It is understandable that the initial drilling data set is classified according to the preset reference interval value using the preset sliding window algorithm to obtain the drilling sub-data set to improve the efficiency of subsequent data processing. The feature extraction of the drilling sub-data set is performed to obtain the feature data set to reduce the number of features, thereby reducing the risk of overfitting of the target pump pressure prediction model during the training process. The feature data set is processed according to the preset pump pressure calculation formula to obtain the pump pressure prediction value, and the data fluctuation trend calculation is performed based on the feature data set, which can effectively ensure the reliability of the pump pressure prediction value.

[0075] It can be understood that, in one embodiment, a preset sliding window algorithm is used to take the 1st to 40th data in the initial drilling data set as the first drilling sub-data set, perform feature extraction on the first drilling sub-data set to obtain a first feature data set, and process the first feature data set according to a preset pump pressure calculation formula to obtain a first pump pressure prediction value; take the 2nd to 41st data in the initial drilling data set as the second drilling sub-data set, perform feature extraction on the second drilling sub-data set to obtain a second feature data set, and process the second feature data set according to a preset pump pressure calculation formula to obtain a second pump pressure prediction value, and so on, until the initial drilling data set is classified. The pump pressure prediction value calculated based on the preset sliding window algorithm can effectively ensure the reliability of the pump pressure prediction value calculation.

[0076] It can be understood that, in one embodiment, after obtaining a new piece of drilling parameter data, based on a preset sliding window algorithm, the new piece of drilling parameter data is used to calculate a new data fluctuation trend to obtain a new pump pressure prediction value, which can effectively ensure the reliability of the pump pressure prediction value.

[0077] In addition, refer to Figure 4 , in one embodiment, Figure 2 Step S240 in the illustrated embodiment also includes but is not limited to the following steps:

[0078] S410, determining a loss value of a pump pressure prediction model according to the pump pressure prediction value and the historical pump pressure value, and obtaining an initial pump pressure prediction model through training according to the loss value;

[0079] S420, optimizing the initial pump pressure prediction model using the safe pump pressure value to obtain a target pump pressure prediction model.

[0080] It is understandable that, according to the pump pressure prediction value and the historical pump pressure value, the pump pressure prediction value and the historical pump pressure value are compared to determine the loss value of the pump pressure prediction model, and the initial pump pressure prediction model is trained according to the loss value to ensure the accuracy of the subsequent target pump pressure prediction model. The initial pump pressure prediction model is optimized using the safe pump pressure value to obtain the target pump pressure prediction model to further improve the accuracy of the target pump pressure prediction model.

[0081] It can be understood that the difference between the pump pressure prediction value and the historical pump pressure value is calculated, and the loss value of the pump pressure prediction model is determined based on the difference. The pump pressure prediction value is then compared with the safe pump pressure value to determine whether the pump pressure prediction value is within the safe pump pressure value range, further verifying the accuracy of the pump pressure prediction value and effectively ensuring the reliability of the target pump pressure prediction model.

[0082] In addition, refer to Figure 5 In one embodiment, Figure 1 After step S110 in the illustrated embodiment, the method further includes but is not limited to the following steps:

[0083] Step S510: Preprocess the drilling parameter data using a preset edge computing algorithm to obtain new drilling parameter data.

[0084] It is understandable that using a preset edge computing algorithm to pre-process the drilling parameter data, realize data localization processing, and obtain new drilling parameter data can release the data processing pressure of the central cloud, reduce data transmission delays, and effectively improve the efficiency of data processing, thereby improving the efficiency of drilling pump pressure prediction, which is conducive to timely taking corresponding measures in drilling operations.

[0085] It can be understood that, in one embodiment, a high-reliability real-time communication protocol is adopted to ensure stable and reliable data transmission of the edge computing algorithm, thereby effectively improving the reliability of drilling pump pressure prediction.

[0086] In addition, refer to Figure 6 In one embodiment, Figure 1 After step S140 in the illustrated embodiment, the method further includes but is not limited to the following steps:

[0087] Step S610, triggering the preset warning device to respond according to the warning information and the preset warning rules.

[0088] It is understandable that based on real-time monitoring of data fluctuations of drilling parameter data, early warning information is obtained to facilitate timely detection of pump pressure abnormalities, and then based on the early warning information and preset early warning rules, the preset early warning equipment is triggered to respond. The strategy of early warning of pump pressure abnormalities can effectively reduce the risk of equipment damage and safety accidents in drilling operations.

[0089] In addition, in one embodiment, the target curve includes at least one of an SPP parameter curve, an MFIA parameter curve, a WOB parameter curve, and an RPM parameter curve.

[0090] It can be understood that the target curve includes at least one of the SPP parameter curve, the MFIA parameter curve, the WOB parameter curve, and the RPM parameter curve, which can intuitively monitor abnormal data in the drilling parameter data so as to timely discover abnormal data in the drilling operation.

[0091] It is understandable that, in one embodiment, a real-time communication feedback mechanism is used to obtain drilling parameter data in real time, which can identify whether the pump pressure is abnormal in the first place, so as to trigger the preset early warning device to respond in time.

[0092] It is understandable that, in one embodiment, the drilling parameter data, target pump pressure value, target curve and warning information are displayed on a preset electronic screen so that the staff can intuitively understand the real-time drilling operation data information and future warning information.

[0093] It is understandable that, in one embodiment, drilling parameter data, target pump pressure value, target curve and warning information will be correspondingly stored in a preset database to facilitate subsequent search and provide data support for subsequent troubleshooting and performance optimization.

[0094] In addition, refer to Figure 7 , Figure 7 : is a module schematic diagram of a drilling pump pressure monitoring system provided by an embodiment of the present application, the drilling pump pressure monitoring system comprises:

[0095] A drilling data acquisition module 710 is used to acquire drilling parameter data;

[0096] The pump pressure value calculation module 720 is used to input the drilling parameter data into a preset target pump pressure prediction model to obtain a target pump pressure value;

[0097] The curve processing module 730 is used to obtain a target curve according to the drilling parameter data;

[0098] The warning module 740 is used to determine warning information according to the target curve and the target pump pressure value.

[0099] The specific implementation of the drilling pump pressure monitoring system in the embodiment of the present application is basically consistent with the specific implementation of the above-mentioned drilling pump pressure monitoring method, and will not be repeated here.

[0100] In addition, refer to Figure 8 , Figure 8 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes:

[0101] The processor 801 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application;

[0102] The memory 802 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 802 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 802, and the processor 801 calls and executes the drilling pump pressure monitoring method of the embodiment of the present application, for example, executing the above-described Figure 1 Method steps S110 to S160, Figure 2 Method steps S210 to S240, Figure 3 Method steps S310 to S330, Figure 4 Method steps S410 to S420 and Figure 5 Method step S510 in .

[0103] Input / output interface 803, used to implement information input and output;

[0104] The communication interface 804 is used to realize the communication interaction between the device and other devices. The communication can be realized through a wired manner (such as USB, network cable, etc.) or a wireless manner (such as mobile network, WI FI, Bluetooth, etc.);

[0105] A bus that transmits information between various components of the device (e.g., processor 801, memory 802, input / output interface 803, and communication interface 804);

[0106] The processor 801 , the memory 802 , the input / output interface 803 and the communication interface 804 are connected to each other in communication within the device via a bus.

[0107] The present application also provides a storage medium, which is a computer-readable storage medium for computer-readable storage. The storage medium stores one or more programs, which can be executed by one or more processors to implement the above-mentioned drilling pump pressure monitoring method. For example, the above-described Figure 1 Method steps S110 to S160, Figure 2 Method steps S210 to S240, Figure 3 Method steps S310 to S330, Figure 4 Method steps S410 to S420 and Figure 5 Method step S510 in .

[0108] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0109] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0110] It can be understood by those skilled in the art that Figures 1 to 6 The technical solutions shown in the figure do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than those shown in the figure, or a combination of certain steps, or different steps.

[0111] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0112] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0113] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0114] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0115] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0116] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0117] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0118] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0119] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A drilling pump pressure monitoring method, characterized in that: include: Obtain drilling parameter data; Inputting the drilling parameter data into a preset target pump pressure prediction model to obtain a target pump pressure value; Obtaining a target curve according to the drilling parameter data; The warning information is determined according to the target curve and the target pump pressure value.

2. The drilling pump pressure monitoring method according to claim 1, characterized in that: The target pump pressure prediction model is trained by the following steps: Obtaining initial drilling data set and historical pump pressure values; The initial drilling data set is processed according to a preset safe pump pressure calculation formula to obtain a safe pump pressure value; Processing the initial drilling data set according to a preset pump pressure calculation formula to obtain a pump pressure prediction value; The target pump pressure prediction model is trained according to the safety pump pressure value, the pump pressure prediction value and the historical pump pressure value.

3. The drilling pump pressure monitoring method according to claim 2, characterized in that: The initial drilling data set is processed according to a preset pump pressure calculation formula to obtain a pump pressure prediction value, including: Using a preset sliding window algorithm, the initial drilling data set is classified according to a preset reference interval value to obtain a drilling sub-data set; Extracting features from the drilling sub-dataset to obtain a feature data set; The characteristic data set is processed according to the preset pump pressure calculation formula to obtain the pump pressure prediction value.

4. The drilling pump pressure monitoring method according to claim 2, characterized in that: The training of the target pump pressure prediction model according to the safety pump pressure value, the pump pressure prediction value and the historical pump pressure value comprises: Determine the loss value of the pump pressure prediction model according to the pump pressure prediction value and the historical pump pressure value, and obtain an initial pump pressure prediction model by training according to the loss value; The initial pump pressure prediction model is optimized using the safety pump pressure value to obtain a target pump pressure prediction model.

5. The drilling pump pressure monitoring method according to claim 1, characterized in that: After obtaining the drilling parameter data, the method further includes: The drilling parameter data is preprocessed using a preset edge computing algorithm to obtain new drilling parameter data.

6. The drilling pump pressure monitoring method according to claim 1, characterized in that: After determining the warning information according to the target curve and the target pump pressure value, the method further includes: According to the warning information and preset warning rules, the preset warning device is triggered to respond.

7. The drilling pump pressure monitoring method according to claim 1, characterized in that: The target curve includes at least one of an SPP parameter curve, an MFIA parameter curve, a WOB parameter curve, and an RPM parameter curve.

8. A drilling pump pressure monitoring system, characterized in that: The system comprises: A drilling data acquisition module, used to acquire drilling parameter data; A pump pressure value calculation module, used for inputting the drilling parameter data into a preset target pump pressure prediction model to obtain a target pump pressure value; A curve processing module, used for obtaining a target curve according to the drilling parameter data; The early warning module is used to determine early warning information according to the target curve and the target pump pressure value.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the drilling pump pressure monitoring method as described in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the drilling pump pressure monitoring method according to any one of claims 1 to 7.

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