An anti-freezing type oil drilling adopts a water injection well head device

Abstract

The application provides an anti-freezing type oil drilling water injection wellhead device, which comprises an environment monitoring module, a data processing and risk assessment module, a path planning module, an injection control module, a pumping execution and feedback module and a control method. The device generates an environment change index by monitoring temperature and wind speed data in real time, assesses the freezing risk level of the equipment, and obtains a protective material distribution scheme. The device optimizes the flow path of the protective material through path planning, dynamically adjusts the injection amount parameter and feedback control, realizes real-time monitoring of the uniformity, and ensures the anti-freezing protection effect. If the coverage is insufficient, a supplementary path is further generated to form a final protection scheme, so that the anti-freezing protection of the water injection wellhead device in a high-cold environment is realized, and the equipment operation stability and protection response capability are ensured.

Description

Technical Field

[0001] This invention relates to the field of water injection wellhead device technology, and in particular to a freeze-resistant water injection wellhead device for oil drilling. Background Technology

[0002] The wellhead assembly for water injection wells is a key piece of equipment in petroleum engineering used to regulate water injection operations. It mainly consists of casing, tubing hangers, and fluid control components. This assembly maintains formation pressure and drives crude oil flow by controlling the water injection flow rate.

[0003] In actual construction operations, if the oil extraction area is located in a cold region, the wellhead device of the water injection well is very prone to freezing during use, which can cause equipment damage and interruption of construction operations. Therefore, there is a lack of oil drilling water injection wellhead devices with antifreeze function. Summary of the Invention

[0004] This invention provides an antifreeze oil drilling water injection wellhead device to solve the problem of water injection wellhead freezing.

[0005] This invention provides a freeze-resistant oil drilling water injection wellhead device, comprising: The environmental monitoring unit includes a temperature sensor and a wind speed sensor installed at the wellhead flange; and a liquid storage tank for storing antifreeze protective materials. The pumping actuator has its inlet connected to the storage tank via a pipeline, and its outlet connected to a spray pipeline arranged around the injection wellhead. The controller is electrically connected to the environmental monitoring unit and the pumping actuator, respectively. The controller generates environmental change indicators based on temperature and wind speed data, and adjusts the output flow of the pumping actuator according to the indicators.

[0006] Preferably, an environmental monitoring module is used to collect temperature and wind speed data; The risk assessment module is used to determine the freezing risk level based on environmental change indicators; The path planning module is used to generate protective material distribution plans; The injection control module is used to determine the output parameters of the pumping actuator.

[0007] Preferably, the antifreeze oil drill uses an antifreeze control system applied to the water injection wellhead device for antifreeze control, which includes: The environmental monitoring module is used to monitor and collect temperature and wind speed data of the water injection wellhead device in real time; The data processing and risk assessment module is connected to the environmental monitoring module. It generates environmental change indicators based on temperature and wind speed data, and determines the freezing risk level through these indicators. The path planning module is connected to the data processing and risk assessment module to generate protective material distribution plans and optimize flow paths based on the freezing risk level. The injection control module is connected to the path planning module and determines the injection adjustment parameters based on the optimized flow path and current environmental change indicators. The pumping execution and feedback module is communicatively connected to the injection control module. It dynamically adjusts the flow of protective material based on the injection adjustment parameters, monitors the uniformity of the distribution of protective material along the flow path, and obtains the real-time coverage status.

[0008] Preferably, the system performs antifreeze treatment of the water injection wellhead device through the following control method, which includes: step S100, generating an environmental change index that integrates temperature drop rate and wind speed intensity based on real-time temperature data and wind speed data; Step S200: Based on environmental change indicators and the operating status data of the water injection wellhead device, the freezing risk level of the water injection wellhead device is assessed using a risk assessment model to obtain the risk assessment result. Step S300: Based on the risk assessment results, identify the key parts of the water injection wellhead device and generate a protective material distribution plan for the key parts. Based on the protective material distribution scheme and the structural layout data of the water injection wellhead device, an optimized flow path is obtained; Step S400: Based on the optimized flow path, obtain the injection amount data of the protective material; Match the injection volume data with current environmental change indicators to determine injection adjustment parameters; Step S500: Based on the injection adjustment parameters, control the pumping system to regulate the flow of protective material, monitor the distribution uniformity of protective material along the flow path to obtain the real-time coverage status, and perform real-time antifreeze control on the water injection wellhead device according to the real-time coverage status.

[0009] Preferably, step S100 includes: Time series analysis was performed on real-time temperature data to calculate the rate of temperature decrease. Time series analysis was performed on the wind speed data to extract the fluctuation characteristics of wind speed intensity; In response to a temperature drop rate exceeding a preset threshold, a joint analysis is performed based on the fluctuation characteristics of wind speed intensity to determine abnormal environmental fluctuations. Based on the results of the joint analysis, environmental change indicators are generated.

[0010] Preferably, step S200 includes: By filtering environmental change indicators and preset threshold ranges, abnormal environmental records are obtained. Based on the operational status data of the water injection wellhead device, the probability level of equipment freezing under abnormal conditions is calculated; Based on the logistic regression model, the probability level of equipment freezing is quantified to obtain specific risk level classification data; Based on the risk level classification data, the corresponding protection measures are matched from the preset protection strategy library; Generate equipment status adjustment commands to drive the water injection wellhead device to perform corresponding protective measures.

[0011] Preferably, the calculation of the optimized flow path in step S300 includes: Based on the distribution information and priority of key components, the preliminary flow path of the fine area is obtained; Based on the structural layout data of the water injection wellhead device, adjustments were made to the sections with obstacles in the initial flow path; The adjusted path is refined, and the final optimized flow path is determined based on the equipment structure constraints.

[0012] Preferred options also include: The amount of protective material allocated to each key component is calculated based on the optimized flow path. In response to uneven distribution, local paths are replanned to generate a balanced material cover scheme.

[0013] Preferably, step S400 includes: Obtain the dataset of protective material injection volume corresponding to the optimized flow path; A correlation analysis was performed between the injection volume dataset and real-time environmental change indicators to obtain matching results; If there is a mismatch, extract the fluctuation amplitude data of the environmental fluctuations, and calculate the injection adjustment parameters based on the comparison results of the fluctuation amplitude data and the preset threshold. An injection volume adjustment plan is generated based on the injection adjustment parameters, and the injection volume configuration of the pumping system is updated. Obtain the updated injection volume data and perform a matching degree judgment on environmental fluctuations; If the requirements are not met, the injection volume adjustment plan will be regenerated until the requirements are met.

[0014] Preferably, step S500 includes: Based on the injection adjustment parameters, the flow control baseline of the pumping system is set; Based on the flow control benchmark, the flow of protective material along the optimized flow path is calibrated in real time. Monitor the stability of the flow path and correct the path control data in response to the stability falling below a preset threshold; The uniformity of the distribution of protective materials is evaluated based on the corrected path information and real-time coverage data. In response to the distribution uniformity not meeting the preset standard, the injection parameters are adjusted and the adjustment command is recalculated until the real-time coverage status meets expectations.

[0015] The working principle and beneficial effects of this invention are as follows: This invention provides a freeze-resistant water injection wellhead device for oil drilling, comprising: an environmental monitoring module, a data processing and risk assessment module, a path planning module, an injection control module, and a pumping execution and feedback module. Combined with control methods, it generates environmental change indicators by real-time monitoring of temperature and wind speed data to assess the equipment's freezing risk level, thereby obtaining a protective material distribution plan. Path planning optimizes the flow path of the protective material, and dynamic adjustment of injection volume parameters and feedback control achieve real-time monitoring of distribution uniformity, ensuring the effectiveness of freeze protection. If coverage is insufficient, supplementary paths are generated, integrating to form the final protection plan. This achieves freeze protection for the water injection wellhead device in extremely cold environments, ensuring equipment operational stability and protection response capabilities.

[0016] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0017] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0018] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the process of the present invention; Figure 2 This is a schematic diagram of the system structure of the present invention.

[0019] Among them, 1-ring branch pipe, 2-electrically controlled nozzle, 3-environmental monitoring unit, 4-liquid storage tank. Detailed Implementation

[0020] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0021] according to Figures 1-2 As shown, this embodiment of the invention provides a freeze-resistant oil drilling water injection wellhead device, comprising: The environmental monitoring unit includes a temperature sensor and a wind speed sensor installed at the wellhead flange; and a liquid storage tank for storing antifreeze protective materials. The pumping actuator has its inlet connected to the storage tank via a pipeline, and its outlet connected to a spray pipeline arranged around the water injection wellhead and / or an antifreeze injection pipeline installed at the water injection inlet. The controller is electrically connected to the environmental monitoring unit and the pumping actuator, respectively. The controller generates environmental change indicators based on temperature and wind speed data, and adjusts the output flow of the pumping actuator according to the indicators.

[0022] The antifreeze type oil drill uses an antifreeze control system applied to the water injection wellhead device for antifreeze control. The system includes: The environmental monitoring module is used to monitor and collect temperature and wind speed data of the water injection wellhead device in real time; The data processing and risk assessment module is connected to the environmental monitoring module. It generates environmental change indicators based on temperature and wind speed data, and determines the freezing risk level through these indicators. The path planning module is connected to the data processing and risk assessment module to generate protective material distribution plans and optimize flow paths based on the freezing risk level. The injection control module is connected to the path planning module and determines the injection adjustment parameters based on the optimized flow path and current environmental change indicators. The pumping execution and feedback module is communicatively connected to the injection control module. It dynamically adjusts the flow of protective material based on the injection adjustment parameters, monitors the uniformity of the distribution of protective material along the flow path, and obtains the real-time coverage status.

[0023] The path planning module is used to calculate the opening sequence of the electrically controlled valves of the antifreeze in the distributed pipeline network and / or the spray coverage path of the antifreeze spray system based on the freezing priority of key parts.

[0024] Specifically, the controller calculates environmental change indicators based on the temperature drop rate ΔT and the standard deviation of wind speed fluctuation σ. and according to The output flow rate of the pumping actuator is adjusted according to the correspondence between the value and the preset flow rate mapping table.

[0025] The spray pipeline consists of three layers of annular branch pipes: inner, middle, and outer. Each layer of branch pipes is equipped with 12 electrically controlled nozzles at equal intervals. When the temperature T < -5℃ and the wind speed V > 5m / s, it is determined to be a high-risk situation, and the spray system is activated.

[0026] The path planning module determines the 180° sector range on the leeward side based on the wind direction angle θ collected by the wind direction sensor, and shuts down the 6 electronically controlled nozzles in this sector to offset the heat loss caused by strong convection heat transfer.

[0027] The path planning module is specifically used to calculate the antifreeze distribution ratio of each sector nozzle based on the wind direction shielding data of different locations at the wellhead, and to optimize the directional coverage of antifreeze in physical space by controlling the opening degree of the multi-way solenoid valve connected to the annular pipeline.

[0028] This invention achieves optimal antifreeze effect with minimal antifreeze consumption by dynamically adjusting the spray intensity and direction of antifreeze by real-time monitoring of wind-temperature coupling index.

[0029] In this embodiment, antifreeze measures may include: injection of antifreeze or spraying by an antifreeze spray system.

[0030] More specifically, the injection control module is connected to the path planning module and determines the injection adjustment parameters based on the optimized flow path and current environmental change indicators; The pumping execution and feedback module is communicatively connected to the injection control module. It dynamically adjusts the flow of protective material based on the injection adjustment parameters, monitors the uniformity of the distribution of protective material along the flow path, and obtains the real-time coverage status.

[0031] The pumping execution and feedback module includes an electrically controlled metering pump, a flow sensor and a pressure transmitter installed at key parts of the injection wellhead, and achieves closed-loop feedback control through a PID controller.

[0032] In this invention, the environmental monitoring module is an environmental monitoring unit in the water injection wellhead device, and the environmental monitoring unit includes a thermometer and an anemometer installed at the wellhead flange; The control unit includes: a data processing and risk assessment module, a path planning module, an injection control module, and a path planning module; The execution unit includes an antifreeze pump, a storage tank, and an annular pipeline with nozzles arranged around the water injection wellhead; the control unit controls the flow rate of the antifreeze pump based on signals from a thermometer and an anemometer.

[0033] Specifically, the environmental monitoring module in this invention is used to collect temperature data at the injection wellhead. and wind speed data And calculate the rate of temperature change based on the time series. and wind speed fluctuation standard deviation ; The data processing and risk assessment module is communicatively connected to the environmental monitoring module and is used to process data based on the following environmental change indicators. Conduct a risk assessment of the freeze: ,in Preset weighting coefficients; ; The controller includes: an environmental monitoring module for collecting temperature and wind speed data; The risk assessment module is used to determine the freezing risk level based on environmental change indicators; The path planning module is used to generate protective material distribution plans; The injection control module is used to determine the output parameters of the pumping actuator.

[0034] More specifically, the path planning module is communicatively connected to the data processing and risk assessment module, and is used to constrain and optimize the flow path of the protective material based on the freezing risk assessment results and the structural layout data of the water injection wellhead. The constraints include at least the priority of key parts and structural obstruction conditions. An injection control module, which is communicatively connected to the path planning module, is used to determine injection adjustment parameters based on the flow path and environmental change indicators. The injection adjustment parameters include the injection flow rate adjustment range. The pumping execution and feedback module, which is communicatively connected to the injection control module, is used to adjust the delivery flow rate of the protective material according to the injection adjustment parameters, and to calculate the distribution uniformity based on the coverage of each key part. ; The path planning module is based on a three-dimensional model of the water injection wellhead, divides the surface into several grid regions, and calculates the optimal activation sequence of the antifreeze nozzle array to achieve priority coverage of high-risk areas.

[0035] Specifically, the grid area is divided into a front-wind zone and a back-wind zone, and the solenoid valves are switched according to the wind direction.

[0036] The path planning refers to adjusting the distribution ratio of antifreeze in different sector nozzles by controlling the switching of multiple solenoid valves based on the wind direction and obstruction conditions at different locations of the wellhead.

[0037] when When the value is less than a preset threshold, it is considered as uniform coverage; Wherein, the distribution uniformity The following relationship must be satisfied: .

[0038] in, This indicates the volumetric flow rate of the protective material (i.e., the coverage of the protective material). Indicates the first The volumetric flow rate of protective material received per unit time at each key location (i.e., the first...) (Coverage of protective materials in key areas). This represents the average coverage of all critical areas; when When the distribution is uniform, it is determined to be uniform.

[0039] The volumetric flow rate of the protective material is detected by a flow sensor, while the actual thickness or distribution of the antifreeze on the wellhead surface can be obtained by setting up ultrasonic sensors / cameras, etc.

[0040] Meanwhile, the invention also arranges several temperature measuring points on the wellhead surface. When the local temperature is lower than the set threshold, the controller increases the pulse width modulation (PWM) duty cycle of the nozzle in the corresponding area to increase the amount of antifreeze coverage in that area.

[0041] In this invention, a freezing risk assessment is conducted based on environmental change indicators to obtain a risk level, which is used to assess the freezing risk level of equipment, thereby obtaining a protective material allocation scheme. The risk assessment of account freezes is implemented through a risk assessment module, which uses a logistic regression model for calculation. Input variables include... , and ; In this embodiment, the logistic regression model uses the Sigmoid function as the activation function. Its input vector includes the normalized temperature drop rate ΔT, the standard deviation of wind speed fluctuation σ, and the equipment operating pressure P (i.e., the water injection pressure). The model parameters are obtained by training with 5000 sets of pre-collected historical wellhead freezing data, and the output value... A value above 0.8 is considered a high-risk level.

[0042] More specifically, the calculation formula for the logistic regression model is as follows: , in, , As an indicator of environmental change, The injection pressure (equipment operating pressure) was obtained by performing gradient descent training on 5000 historical sets of freezing condition data. .when At that time, it was determined to be a high-risk level.

[0043] The controller is based on temperature. and wind speed Query the preset flow mapping table to obtain the corresponding pumping flow rate. When the wind speed exceeds the threshold At that time, the controller adjusts the solenoid valve group to increase the spray pulse width on the windward side.

[0044] Based on the risk level, key protective components are identified, and flow paths are generated in conjunction with the device's structural layout. The injection volume of protective material is calculated based on these flow paths, and the injection flow rate adjustment range is determined; wherein, the injection flow rate adjustment range is 5%–20%; when the temperature… Below -5°C and wind speed When the speed is greater than 6 m / s, injection adjustment is triggered; The pumping system is controlled to perform injection, and the distribution uniformity is calculated based on the coverage of each part. ;when When the preset threshold is exceeded, the flow path or injection parameters are corrected until the coverage requirements are met; Among them, distribution uniformity When it is less than 10%, the coverage requirement is met; the flow path is obtained by iteratively correcting the path segments with structural obstacles. The above path planning scheme optimizes the flow path of the protective material. By dynamically adjusting the injection volume parameters and feedback control, the distribution uniformity is monitored in real time to ensure the antifreeze effect. If the coverage is insufficient, a supplementary path is generated and integrated to form the final protection scheme. This achieves antifreeze protection for the water injection wellhead device in cold environments, ensuring the stability of equipment operation and protection response capability.

[0045] In this embodiment, two identical water injection wells were selected for a comparative experiment. The experimental group used the device of this invention, while the control group used a constant flow spray device. The devices operated for 720 hours under ambient temperatures of -30℃±2℃ and an average wind speed of 10m / s. The experimental group recorded 0 icing alarms, while the control group recorded 12. Calculations showed that the effective operating time of the experimental group was 35.2% higher than that of the control group, verifying the effectiveness of dynamic path planning in compensating for heat loss.

[0046] In one embodiment, the system performs antifreeze treatment of the water injection wellhead device through the following control method, which includes: step S100, generating an environmental change index that integrates temperature drop rate and wind speed intensity based on real-time temperature data and wind speed data. Specifically, step S100 further includes: performing time series analysis on real-time temperature data to calculate the temperature drop rate; performing time series analysis on wind speed data to extract the fluctuation characteristics of wind speed intensity; in response to the temperature drop rate exceeding a preset threshold, performing joint analysis in conjunction with the fluctuation characteristics of wind speed intensity to determine the abnormal state of environmental fluctuations; and generating environmental change indicators based on the results of the joint analysis.

[0047] In this embodiment, temperature and wind speed data are collected in real time, and a data sequence with a unified time axis is constructed.

[0048] Time series analysis is performed on real-time temperature data to calculate the temperature change per unit time and obtain the temperature drop rate. At the same time, time series processing is performed on wind speed data to extract the fluctuation amplitude and frequency characteristics of wind speed changes, forming wind speed intensity fluctuation characteristic parameters.

[0049] When the rate of temperature decrease exceeds a preset threshold, the rate of temperature decrease is coupled with the characteristics of wind speed intensity fluctuation. Based on the coupling results, determine whether the current environment is in an abnormal fluctuation state; Next, the temperature drop rate and wind speed intensity were normalized and fused to generate an environmental change index with unified dimensions.

[0050] In this embodiment, based on multivariate coupling analysis, the composite environment of temperature change rate and wind speed disturbance is considered. By using the rate of temperature drop to reflect the freezing driving force and wind speed fluctuations to reflect the enhanced convective heat transfer effect, accurate identification of heat loss at the wellhead can be achieved.

[0051] Furthermore, dynamic change characteristics are extracted through time series analysis to quantify the freezing capacity of the environment.

[0052] Compared with existing technologies, the technical solution provided in this embodiment can effectively improve the sensitivity of freezing risk identification and reduce misjudgment caused by short-term temperature fluctuations.

[0053] In this invention, real-time temperature and wind speed data are obtained from the water injection wellhead device through an environmental monitoring system. The temperature and wind speed data are processed using data integration technology to obtain environmental change indicators that reflect the fluctuations in the equipment environment. The environmental change indicators integrate the temperature drop rate and wind speed intensity as quantitative basis.

[0054] Specifically, the present invention continuously acquires real-time temperature and wind speed data from the equipment (i.e., the water injection wellhead device) through an environmental monitoring system, and uses a data acquisition module to record the two data synchronously to obtain the original environmental dataset.

[0055] Based on the original environmental dataset, time series analysis was used to process the real-time temperature data, calculate the rate of temperature decrease, and determine the dynamic pattern of temperature change.

[0056] By using the time series of wind speed data and employing the same analysis method, the fluctuation characteristics of wind speed intensity are extracted to obtain the intensity distribution of wind speed changes.

[0057] If the rate of temperature drop exceeds a preset threshold, a joint analysis is performed based on the fluctuation characteristics of wind speed intensity to determine whether there is an abnormal state of environmental fluctuation.

[0058] Based on the results of the joint analysis, indicators reflecting environmental fluctuations are generated, and standardized processing is used to calibrate the indicators to obtain a unified quantitative basis.

[0059] By mapping the quantitative data to the equipment status, a logistic regression model is used to predict the equipment operation risk and determine the potential environmental impact level.

[0060] Based on the predicted risk level, environmental change indicators are continuously tracked, their dynamic evolution is recorded, and real-time monitoring data of equipment status is generated.

[0061] In one embodiment, the system performs antifreeze treatment on the water injection wellhead device through the following control method, which includes: step S200, assessing the freezing risk level of the water injection wellhead device using a risk assessment model based on environmental change indicators and the operating status data of the water injection wellhead device, and obtaining a risk assessment result; specifically, step S200 further includes: filtering environmental change indicators and preset threshold ranges to obtain abnormal environment records; calculating the probability level of equipment freezing under abnormal conditions based on the operating status data of the water injection wellhead device; and quantifying the probability level of equipment freezing based on a logistic regression model to obtain specific risk level classification data.

[0062] Based on the risk level classification data, the corresponding protection measures are matched from the preset protection strategy library; Generate equipment status adjustment instructions, which are used to drive the water injection wellhead device to perform corresponding protective measures.

[0063] In this embodiment, the risk level of freezing of the water injection wellhead device is determined based on environmental change indicators, and the risk assessment results are determined. The risk assessment results include risk level classification to guide subsequent protection.

[0064] More specifically, we acquire data related to environmental changes, collect environmental parameters such as temperature and humidity in real time, and obtain a preliminary environmental change dataset.

[0065] Preliminary screening of environmental change datasets within a pre-defined threshold range; If a certain environmental parameter exceeds the threshold range, it is marked as an abnormal environmental record, and a set of abnormal environmental records is obtained.

[0066] Based on the abnormal environment record set, combined with the operating status data of the water injection wellhead device and its operating performance under abnormal environment, the freezing level of the equipment is determined.

[0067] Based on the equipment freeze level, a pre-established risk level classification model is invoked to quantify the probability level and obtain specific risk level classification data.

[0068] Based on the risk level classification data, match the corresponding protective measures and determine the targeted combination of protective measures; Based on the combination of protective measures, an equipment status adjustment command is generated and sent to the water injection wellhead device through the remote control module to complete the automatic deployment of protective measures; Acquire operational data after equipment status adjustments, continuously monitor the correlation between environmental changes and equipment status, and use this data to assess the real-time adaptability of protective measures.

[0069] In this embodiment, firstly, the environmental change indicators are compared with a preset threshold range. Based on the comparison results, records of abnormal environments were selected. Based on equipment operating status data, calculate the probability level of equipment freezing under abnormal environmental conditions.

[0070] Based on the probability level, a preset logistic regression model is invoked to perform probability mapping, thereby obtaining the classification data of the freezing risk level. Based on the risk level, the system matches the corresponding combination of protective measures from the preset protection strategy library and generates equipment status adjustment instructions. The control module drives the water injection wellhead device to perform corresponding protective measures.

[0071] Furthermore, this embodiment uses environmental change indicators as independent variables and equipment freeze status as dependent variables to establish a probability mapping relationship between the two. Meanwhile, by introducing equipment operating status as a constraint variable, the risk assessment is changed from a single-factor environmental judgment to a coupled assessment of the environment and equipment, which effectively improves the accuracy of risk assessment and thus achieves quantitative classification of freezing risks.

[0072] In one embodiment, the system performs antifreeze treatment on the water injection wellhead device through the following control method, which includes: step S300, based on the risk assessment results, determining the key parts of the water injection wellhead device and generating a protective material distribution scheme for the key parts; based on the protective material distribution scheme and the structural layout data of the water injection wellhead device, obtaining an optimized flow path; Specifically, step S300, which calculates the optimized flow path, includes: obtaining a preliminary flow path for a fine area based on the distribution information and priority of key parts; adjusting the sections with obstacles in the preliminary flow path based on the structural layout data of the water injection wellhead device; refining the adjusted path; and determining the final optimized flow path based on the equipment structural constraints.

[0073] Furthermore, after determining the optimized flow path, the process also includes: calculating the amount of protective material allocated to each key component based on the optimized flow path; and replanning local paths in response to uneven allocation to generate a balanced material coverage scheme.

[0074] In this embodiment, a protective material allocation plan is generated for key parts based on the risk assessment results; Based on the protective material distribution scheme, the flow path of the protective material is calculated to obtain the optimized flow path.

[0075] Among them, the path of the protective material flow covers a fine area; More specifically, for critical parts of the equipment, information on the distribution of high-risk areas is obtained from risk assessment data. By analyzing the priority of each part in the data, key areas for the allocation of protective materials are determined. Based on the identified key areas, path planning techniques are used to generate initial flow paths, covering detailed areas, to obtain preliminary path schemes. Based on the preliminary path plan, obtain the structural layout data of the equipment; If there are obstacles in the structural layout that hinder the flow path, adjust the path direction and determine whether the adjusted path meets the coverage requirements. The adjusted path is refined, and the final form of the optimized path is determined by taking into account the specific constraints of the equipment structure. Based on the optimized path, the amount of protective material distributed in each key part is calculated. If the amount of material distributed is insufficient in some areas, the local path is replanned to obtain a balanced material coverage scheme. Real-time monitoring data is obtained based on a balanced material coverage scheme; If a small area in the monitoring data is not fully covered, the local path will be dynamically adjusted. Based on the dynamic adjustment results, the coverage effect after adjustment is judged; If the requirements are met, the adjusted coverage effect will be recorded, and the final protective material flow path and distribution plan will be obtained. Based on the final flow path and distribution plan of protective materials, a judgment is made on whether the protection requirements of all critical parts are met.

[0076] In this embodiment, the key parts of the water injection wellhead device with a high risk of freezing are identified based on the risk assessment results, and a protective material allocation plan is generated according to the risk priority of each part.

[0077] A preliminary flow path is generated based on the distribution information of key components, so that the path covers fine areas; combined with the equipment structure layout data, the path segments with structural obstacles are adjusted, and the path is refined under the condition of satisfying structural constraints to obtain an optimized flow path.

[0078] In this embodiment, the spray pipes or antifreeze pipes are set up in multiple ways. When one of them is blocked, the blockage can be cleared by increasing the pressure. If the blockage cannot be cleared by pressure, the obstructing pipe is rerouted and the blocked pipe is marked to facilitate manual inspection and maintenance. In use, one pipe can be used as a backup to ensure that the blockage will not cause freezing and cracking.

[0079] Furthermore, the amount of protective material allocated to each key component is calculated; If uneven distribution exists, coverage balance can be achieved through local path replanning.

[0080] In this embodiment, the equipment structure is used as a spatial constraint, and key components are used as path coverage targets. Accessibility and complete coverage are achieved through route adjustment and refinement; Resource balance is achieved through allocation feedback; precise coverage of complex wellhead structures is achieved, avoiding insufficient protection or resource waste in local areas, thereby improving the utilization efficiency of antifreeze materials and providing a structured path basis for subsequent dynamic adjustment; wherein, the protective material is antifreeze or heated circulating water.

[0081] In one embodiment, the system performs antifreeze treatment on the water injection wellhead device through the following control method, which includes: step S400, obtaining data on the injection volume of protective material based on an optimized flow path; Match the injection volume data with current environmental change indicators to determine injection adjustment parameters; Specifically, step S400 also includes: acquiring the protective material injection amount dataset corresponding to the optimized flow path; performing a correlation analysis between the injection amount dataset and real-time environmental change indicators to obtain matching results; if there is no match, extracting the fluctuation amplitude data of environmental fluctuations, and calculating the injection adjustment parameters based on the comparison results of the fluctuation amplitude data and the preset threshold.

[0082] After determining the injection adjustment parameters, the following is also included: An injection volume adjustment plan is generated based on the injection adjustment parameters, and the injection volume configuration of the pumping system is updated. Obtain the updated injection volume data and perform a matching degree judgment on environmental fluctuations; If the requirements are not met, the injection volume adjustment plan will be regenerated until the requirements are met.

[0083] In this embodiment, the injection volume data of the protective material is obtained based on the optimized flow path; The data is then cleaned and processed to form a standardized dataset.

[0084] The injection volume data is correlated and analyzed with real-time environmental change indicators. Determine if the current injection volume matches the changing environmental state; If there is no match, extract the environmental fluctuation amplitude data; The environmental fluctuation amplitude data is compared with the threshold, and the injection adjustment parameters are calculated.

[0085] Based on the adjusted parameters, an injection volume adjustment plan is generated. Based on the new injection volume adjustment scheme, the pumping system is configured and updated. Based on the updated injection volume and environmental changes, a matching judgment is performed again until the matching requirements are met.

[0086] In this embodiment, protective material injection volume data is obtained based on the optimized flow path. It is then determined whether the injection volume data is suitable for the current environmental change indicators, and injection adjustment parameters are determined. The injection adjustment parameters are based on the degree of matching between the injection volume and environmental fluctuations.

[0087] Specifically, based on the flow path, the injection volume data of the protective material is obtained, the injection volume data is initially cleaned to remove outliers, and a standardized injection volume dataset is obtained. Based on the normalized injection volume dataset, the correlation between the injection volume dataset and real-time monitoring data of environmental changes is analyzed; By comparing the changing indicators, we can determine whether the injection volume data is consistent with the current environmental fluctuations. If the injection volume data does not match the environmental fluctuations in the analysis results, then extract the fluctuation amplitude data of the environmental changes. The fluctuation amplitude data is compared with the preset threshold to determine whether the fluctuation amplitude exceeds the allowable range; Based on the comparison results of fluctuation amplitude, calculate the necessary parameters for injection adjustment; For fluctuations that exceed the range, calculate the corresponding adjustment parameter values ​​to obtain a set of adjustment parameters; By adjusting the parameter set and combining it with the current state of the injection volume dataset, a targeted injection volume adjustment plan is generated, resulting in the adjusted injection volume configuration data. Based on the adjusted injection volume configuration data, the control module of the linkage flow path automatically updates the injection volume of the protective material and determines whether the updated data matches the degree of environmental fluctuation. If the updated data still does not match the environmental fluctuations, then the latest monitoring data on environmental changes should be reacquired. The fluctuation amplitude is compared and rematched repeatedly to obtain the final injection amount adjustment result.

[0088] In this embodiment, environmental change indicators are used as external disturbance inputs, and the injection amount is used as a control variable; A feedback loop is constructed based on the matching degree, and system convergence is achieved through iterative adjustments. At the same time, the fluctuation amplitude is used as the basis for adjustment intensity to achieve adaptive adjustment; The system achieves dynamic self-adaptation in the injection of protective materials, avoiding over- or under-injection, thereby improving system response speed and stability, and reducing energy and material consumption.

[0089] In one embodiment, the system performs antifreeze treatment on the water injection wellhead device through the following control method, which includes: step S500, controlling the pumping system based on injection adjustment parameters to adjust the flow of protective material, monitoring the distribution uniformity of protective material on the flow path to obtain real-time coverage status, and performing real-time antifreeze control on the water injection wellhead device according to the real-time coverage status.

[0090] Specifically, step S500 also includes: setting the flow control reference of the pumping system based on the injection adjustment parameters; and calibrating the flow of the protective material on the optimized flow path in real time based on the flow control reference. Monitor the stability of the flow path and correct the path control data in response to the stability falling below a preset threshold; The uniformity of the distribution of protective materials is evaluated based on the corrected path information and real-time coverage data. In response to the distribution uniformity not meeting the preset standard, the injection parameters are adjusted and the adjustment command is recalculated until the real-time coverage status meets expectations.

[0091] In this embodiment, the flow of protective material is dynamically adjusted by controlling the pumping system through injection adjustment parameters. Feedback control technology is used to monitor the effect of the flow path and obtain the real-time coverage status, which reflects the uniformity of the distribution of protective material.

[0092] Specifically, injection parameter data is collected, the initial state of the pumping system during operation is analyzed, and a preliminary flow control benchmark is obtained. Based on the preliminary flow control benchmark, the dynamic adjustment mechanism of the pumping system is adjusted, and the flow path of the protective material is calibrated in real time to determine the stability of the flow path. If the stability of the flow path is lower than the preset threshold, the path data will be corrected. Obtain the corrected path information and determine whether the path meets the requirement of uniform distribution; By analyzing the distribution of protective materials in the target area using the corrected path information and real-time coverage data, the results of the distribution uniformity assessment are obtained. If the evaluation results of the distribution uniformity do not meet the preset standard, the injection parameters and control technology are adjusted, the dynamic adjustment scheme is recalculated, and the optimized adjustment command is determined. According to the optimized adjustment instructions, the pumping system is driven to inject and adjust the antifreeze. The updated real-time coverage status is obtained, and based on the real-time coverage status, it is determined whether the distribution of protective materials meets expectations; The flow path and distribution uniformity are continuously monitored by updating the real-time coverage status; The monitoring results obtained from continuous monitoring are evaluated to obtain the final system operating status.

[0093] In this embodiment, the permeability of a fine area of ​​the water injection wellhead device is judged based on the real-time coverage status. If full penetration is not achieved, additional injection data is obtained to determine supplementary flow paths; Based on the supplementary flow paths, the previously optimized flow paths are integrated to generate the final protection scheme.

[0094] Specifically, the real-time coverage status is obtained, and the overall permeability of the fine areas of the water injection wellhead device is judged from the real-time coverage status. If it is determined that the penetration is not complete, then supplementary flow paths are determined from the additional injected data; By integrating previously optimized flow paths with supplementary flow paths, a set of integrated flow paths is obtained. Protection parameters are then adjusted based on this integrated flow path set to generate regional infiltration simulation results. Based on the regional penetration simulation results and the logic of generating preset schemes, the final protection scheme is determined.

[0095] The stability of the final protection scheme in response to changes in the environment of the water injection wellhead device is determined, and the stability index is obtained. The overall system parameters are adjusted according to the stability index, the parameters are processed using verification technology, and the verification results are obtained. The configuration of the environmental monitoring system is updated based on the verification results, and the final protection optimization output is obtained.

[0096] Specifically, the environmental change data acquisition module acquires real-time environmental change data around the water injection wellhead device; The environmental change data is classified based on a pre-established environmental change classification model to obtain the classification results of environmental changes. Extract key data from the classification results to obtain a preliminary assessment of response stability; If the initial assessment value is lower than the preset threshold, then abnormal data points are extracted from the assessment value; By combining the environmental change classification results, the specific values ​​of the stability indicators are obtained; Using the specific values ​​of the stability index, the system parameter adjustment module is invoked to dynamically correct the current state of the system parameters and output the adjusted parameter set. Environmental simulations were performed on the adjusted parameter set to analyze its performance under different environmental changes and obtain validation results data. Based on the verification results, update the configuration scheme of the environmental monitoring system and generate monitoring rules for environmental changes; Based on the detection rules for environmental changes, the final protection optimization scheme is output.

[0097] If the verification results show abnormal responses, the abnormal data are extracted from the monitoring rules, combined with the environmental change classification results, the stability index is recalculated, and after multiple iterations, an optimized solution that meets the preset standards is obtained.

[0098] In this embodiment, the flow control benchmark of the pumping system is set according to the injection adjustment parameters, and the flow process of the protective material in the optimized flow path is calibrated in real time.

[0099] The uniformity of the distribution of protective materials in each area is calculated by monitoring the stability of the flow path and real-time coverage data. When the uniformity is lower than the preset standard, adjust the injection parameters; Next, control commands are regenerated until the overlay state meets the requirements.

[0100] A spatial distribution model is constructed by real-time monitoring, with distribution uniformity as the control objective function; By adjusting parameters to optimize fluid distribution, the protective material is evenly distributed in key areas, improving the consistency of antifreeze effect and avoiding the risk of localized icing.

[0101] Furthermore, in this embodiment, the penetration status of fine areas is determined based on the real-time coverage status; if there are areas that have not been sufficiently penetrated, supplementary flow paths are generated based on additional injected data and integrated with the original optimized paths to form a final path set.

[0102] Regional penetration simulation is performed based on the integrated path, and the final protection scheme is generated by combining it with preset logic.

[0103] In this embodiment, the uncovered area is regarded as a systematic error, and the error is corrected through path compensation and the overall consistency is achieved through path integration; thereby improving the protection integrity of complex structural areas and eliminating protection blind spots.

[0104] In this embodiment, the response stability of the protection scheme is evaluated based on environmental change data to obtain a stability index; If the stability index is below the threshold, the system parameters are dynamically adjusted and verified through environmental simulation.

[0105] Based on the verification results, the environmental monitoring system configuration and monitoring rules are updated to generate the final protection optimization scheme. If abnormal responses are found, multiple iterations are performed until the stability requirements are met. In this embodiment, stability indicators are used to evaluate system performance, performance optimization is achieved through parameter adjustment, and closed-loop correction is achieved through simulation verification. This ensures the long-term stability of the system and enhances its adaptability to complex environmental changes.

[0106] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A water injection wellhead device for an antifreeze oil drill, characterized in that, include: The environmental monitoring unit includes a temperature sensor and a wind speed sensor installed at the wellhead flange; Storage tanks are used to store antifreeze and protective substances; The pumping actuator has its inlet connected to the storage tank via a pipeline, and its outlet connected to a spray pipeline arranged around the injection wellhead. The controller is electrically connected to the environmental monitoring unit and the pumping actuator, respectively. The controller generates environmental change indicators based on temperature and wind speed data, and adjusts the output flow of the pumping actuator according to the indicators. The antifreeze type oil drill uses an antifreeze control system applied to the water injection wellhead device for antifreeze control, which includes: The environmental monitoring module is used to monitor and collect temperature and wind speed data of the water injection wellhead device in real time; The data processing and risk assessment module is connected to the environmental monitoring module. It generates environmental change indicators based on temperature and wind speed data, and determines the freezing risk level through these indicators. The path planning module is connected to the data processing and risk assessment module to generate protective material distribution plans and optimize flow paths based on the freezing risk level. The injection control module is connected to the path planning module and determines the injection adjustment parameters based on the optimized flow path and current environmental change indicators. The pumping execution and feedback module is communicatively connected to the injection control module. It dynamically adjusts the flow of protective material based on the injection adjustment parameters, monitors the distribution uniformity of the protective material along the flow path, and obtains the real-time coverage status. The system performs antifreeze treatment of the water injection wellhead device through the following control method, which includes: step S100, generating an environmental change index that integrates temperature drop rate and wind speed intensity based on real-time temperature data and wind speed data. Step S200: Based on environmental change indicators and the operating status data of the water injection wellhead device, the freezing risk level of the water injection wellhead device is assessed using a risk assessment model to obtain the risk assessment result. Step S300: Based on the risk assessment results, identify the key parts of the water injection wellhead device and generate a protective material distribution plan for the key parts. Based on the protective material distribution scheme and the structural layout data of the water injection wellhead device, an optimized flow path is obtained; Step S400: Based on the optimized flow path, obtain the injection amount data of the protective material; Match the injection volume data with current environmental change indicators to determine injection adjustment parameters; Step S500: Based on the injection adjustment parameters, control the pumping system to regulate the flow of protective material, monitor the distribution uniformity of protective material along the flow path to obtain the real-time coverage status, and perform real-time antifreeze control on the water injection wellhead device according to the real-time coverage status.

2. The antifreeze oil drilling water injection wellhead device as described in claim 1, characterized in that, Step S100 includes: Time series analysis was performed on real-time temperature data to calculate the rate of temperature decrease. Time series analysis was performed on the wind speed data to extract the fluctuation characteristics of wind speed intensity; In response to a temperature drop rate exceeding a preset threshold, a joint analysis is performed based on the fluctuation characteristics of wind speed intensity to determine abnormal environmental fluctuations. Based on the results of the joint analysis, environmental change indicators are generated.

3. The antifreeze oil drilling water injection wellhead device as described in claim 1, characterized in that, Step S200 includes: By filtering environmental change indicators and preset threshold ranges, abnormal environmental records are obtained. Based on the operational status data of the water injection wellhead device, the probability level of equipment freezing under abnormal conditions is calculated; Based on the logistic regression model, the probability level of equipment freezing is quantified to obtain specific risk level classification data; Based on the risk level classification data, the corresponding protection measures are matched from the preset protection strategy library; Generate equipment status adjustment commands to drive the water injection wellhead device to perform corresponding protective measures.

4. The antifreeze oil drilling water injection wellhead device as described in claim 1, characterized in that, Step S300, which calculates the optimized flow path, includes: Based on the distribution information and priority of key components, the preliminary flow path of the fine area is obtained; Based on the structural layout data of the water injection wellhead device, adjustments were made to the sections with obstacles in the initial flow path; The adjusted path is refined, and the final optimized flow path is determined based on the equipment structure constraints.

5. The antifreeze oil drilling water injection wellhead device as described in claim 4, characterized in that, After determining the optimal flow path, the following is also included: The amount of protective material allocated to each key component is calculated based on the optimized flow path. In response to uneven distribution, local paths are replanned to generate a balanced material cover scheme.

6. The antifreeze oil drilling water injection wellhead device as described in claim 1, characterized in that, Step S400 includes: Obtain the dataset of protective material injection volume corresponding to the optimized flow path; A correlation analysis was performed between the injection volume dataset and real-time environmental change indicators to obtain matching results; If there is a mismatch, extract the fluctuation amplitude data of the environmental fluctuations, and calculate the injection adjustment parameters based on the comparison results of the fluctuation amplitude data and the preset threshold. An injection volume adjustment plan is generated based on the injection adjustment parameters, and the injection volume configuration of the pumping system is updated. Obtain the updated injection volume data and perform a matching degree judgment on environmental fluctuations; If the requirements are not met, the injection volume adjustment plan will be regenerated until the requirements are met.

7. The antifreeze oil drilling water injection wellhead device as described in claim 1, characterized in that, Step S500 includes: Based on the injection adjustment parameters, the flow control baseline of the pumping system is set; Based on the flow control benchmark, the flow of protective material along the optimized flow path is calibrated in real time. Monitor the stability of the flow path and correct the path control data in response to the stability falling below a preset threshold; The uniformity of the distribution of protective materials is evaluated based on the corrected path information and real-time coverage data. In response to the distribution uniformity not meeting the preset standard, the injection parameters are adjusted and the adjustment command is recalculated until the real-time coverage status meets expectations.

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