Multi-type sensor calibration detection method and system

Abstract

The invention relates to the technical field of sensor calibration, in particular to a multi-type sensor calibration detection method and system. The method comprises the following steps: a plurality of high-temperature acceleration sensors to be calibrated, high-temperature directional sensors and high-temperature vibration sensors are integrated and installed in a logging-while-drilling high-temperature environment chamber corresponding to high-temperature, high-pressure and strong-vibration simulation functions, and zero-position output static calibration is carried out; obtaining a multi-type zero drift static calibration sensor; corresponding temperature, pressure and vibration frequency constraint condition ranges from a well mouth to a well bottom are designed through simulation of a well logging-while-drilling high-temperature environment chamber, dynamic simulation calibration and calibration are carried out, and multiple types of dynamic calibration and calibration sensors are generated; a well logging-while-drilling high-temperature environment chamber is used for simulating corresponding downhole instant strong impact interference constraints and temperature shock interference constraints and carrying out sensing detection verification optimization, and multi-type calibration verification optimization sensors are generated. According to the invention, high-precision calibration and detection of the logging-while-drilling high-temperature sensor can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of sensor calibration, and in particular to a multi-type sensor calibration detection method and system. Background Art

[0002] Logging While Drilling (LWD), as an important real-time monitoring technology for drilling, has been widely used in the dynamic monitoring of underground geology and downhole environment. This technology uses sensor equipment in the drilling process to collect downhole data in real time, such as acceleration, pressure, temperature, azimuth orientation, vibration, etc., which can provide more comprehensive and accurate formation information. The corresponding LWD sensor equipment often needs to withstand high temperature, high pressure and complex mechanical vibration environment, so the sensor is required to have high reliability and high precision. At present, the sensors of LWD equipment mainly include high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors. Due to the extremely harsh working environment of these sensors, the performance of the sensors will change. However, the existing calibration methods are mostly for a single type of sensor, lacking an effective mechanism for the joint calibration of multiple sensors. Especially in high temperature environments, the mutual influence between sensors and the signal output drift factors have not been effectively and uniformly considered, thereby reducing the accuracy of calibration detection of multiple types of sensors. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a multi-type sensor calibration detection method and system to solve at least one of the above technical problems.

[0004] To achieve the above object, a multi-type sensor calibration detection method includes the following steps: Step S1: Integrate and install a variety of high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated in a high-temperature logging while drilling environment chamber corresponding to high temperature, high pressure and strong vibration simulation functions to generate multiple types of high-temperature sensors to be calibrated; static conditions of normal temperature, normal pressure and vibration-free corresponding to the design of the high-temperature logging while drilling environment chamber are performed, and zero-position output static calibration is performed on multiple types of high-temperature sensors to be calibrated based on the static conditions of normal temperature, normal pressure and vibration-free, so as to obtain multiple types of zero-position drift static calibration sensors; Step S2: Design the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead and the bottom of the well through the LWD high-temperature environment chamber simulation, and determine different LWD downhole environmental working condition range sub-conditions according to the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead and the bottom of the well; perform time stamp synchronization acquisition in response to multiple types of zero drift static calibration sensors according to different LWD downhole environmental working condition range sub-conditions, so as to output the sensor output signal data corresponding to each sensor under different downhole working conditions, including downhole acceleration, downhole orientation and downhole vibration sensor output signals; Step S3: performing dynamic simulation calibration on multiple types of zero drift static calibration sensors based on sensor output signal data corresponding to each sensor under different downhole working conditions, and generating multiple types of dynamic calibration sensors; Step S4: The instantaneous strong impact interference constraint and the temperature sudden change interference constraint corresponding to the downhole are simulated by the high-temperature environment chamber of the logging while drilling, and the sensor detection verification and optimization of multiple types of dynamic calibration sensors are performed based on the instantaneous strong impact interference constraint and the temperature sudden change interference constraint to generate multiple types of calibration verification optimization sensors.

[0005] Further, step S1 includes the following steps: Step S11: multiple high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated are integrated and installed in a high-temperature environment chamber for logging while drilling corresponding to high temperature, high pressure and strong vibration simulation functions, and special heat-insulating and pressure-bearing materials are used to ensure that the environment in the chamber is stable and evenly distributed, so as to generate multiple types of high-temperature sensors to be calibrated; Step S12: Designing a static condition with normal temperature and pressure and no vibration corresponding to the high temperature environment chamber of the logging while drilling; Step S13: performing static condition zero-position synchronous acquisition of multiple types of high-temperature sensors to be calibrated based on static conditions of normal temperature, normal pressure and no vibration, so as to obtain the zero-position output value corresponding to each sensor under static conditions; Step S14: obtaining the detection sensitivity and inherent zero drift of each sensor through multiple types of high-temperature sensors to be calibrated, and performing zero drift compensation correction on the zero output value of the corresponding sensor under static conditions based on the detection sensitivity and inherent zero drift of each sensor, so as to obtain the zero drift compensation error correction value of each sensor under static conditions; Step S15: performing zero output static calibration on multiple types of high temperature sensors to be calibrated based on the zero drift compensation error correction value corresponding to each sensor under static conditions to obtain multiple types of zero drift static calibration sensors.

[0006] Further, step S14 includes the following steps: Step S141: obtaining the corresponding microstructure changes of each sensor at normal temperature and pressure through multiple types of high-temperature sensors to be calibrated, including the nonlinear changes of sensor resistance with temperature and the charge output changes of the piezoelectric element affected by pressure, and performing detection sensitivity fitting analysis on the corresponding multiple types of high-temperature sensors to be calibrated based on the corresponding microstructure changes of each sensor at normal temperature and pressure to obtain the detection sensitivity corresponding to each sensor; Step S142: obtaining the corresponding weak electromagnetic interference and airflow micro-disturbance interference in the high-temperature environment chamber of the logging while drilling, and performing sensor inherent drift analysis on multiple types of high-temperature sensors to be calibrated based on the weak electromagnetic interference and airflow micro-disturbance interference to obtain the inherent zero drift corresponding to each sensor; Step S143: performing time series statistics calculation on the zero-position output values ​​corresponding to each sensor under static conditions to obtain the zero-position output statistics corresponding to each sensor, including the zero-position output period mean and the zero-position output period standard deviation; Step S144: Based on the detection sensitivity, inherent zero drift and zero output statistics of each sensor, the zero drift compensation correction calculation formula is used to perform zero drift compensation correction on the zero output value of the corresponding sensor under static conditions to obtain the zero drift compensation error correction value corresponding to each sensor under static conditions.

[0007] Furthermore, the zero drift compensation correction calculation formula described in step S144 is specifically: ; In the formula, For the The zero drift compensation error correction value corresponding to each sensor under static conditions is: , where 1 represents a high temperature acceleration sensor, 2 represents a high temperature directional sensor, and 3 represents a high temperature vibration sensor. is the sensor zero output time interval, is the zero position output time variable parameter, For the The detection sensitivity of each sensor is For the Sensors at time The inherent zero drift at For the The sensitivity weight coefficient corresponding to each sensor is: For the Sensors at time The ambient temperature, For the Sensors at time The zero output value at For the The average value of the zero output period corresponding to each sensor, For the The standard deviation of the zero output period corresponding to each sensor is: For the The temperature compensation coefficient corresponding to each sensor is: It is the correction coefficient of the zero drift compensation error correction value.

[0008] Further, step S2 includes the following steps: Step S21: Design the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead to the bottom of the well by simulating the high temperature environment chamber of the logging while drilling; Step S22: determining different downhole environmental working condition range sub-conditions while drilling according to the corresponding temperature, pressure and vibration frequency constraint ranges from the wellhead to the bottom of the well; Step S23: performing detection clock synchronization response control in response to multiple types of zero drift static calibration sensors according to different downhole environmental working condition range sub-conditions while drilling, so as to generate detection response synchronization clock control instructions corresponding to each sensor; Step S24: The detection response synchronization clock control instructions corresponding to each sensor are applied to the corresponding multi-type zero drift static calibration sensors for timestamp synchronization acquisition to output the sensor output signal data corresponding to each sensor under different downhole working conditions, including downhole acceleration, downhole orientation and downhole vibration sensor output signals.

[0009] Furthermore, the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead to the well bottom described in step S21 are specifically a temperature range of 50°C-200°C, a pressure range of 0-50MPa and a vibration frequency range of 10Hz-100Hz.

[0010] Further, step S3 includes the following steps: Step S31: performing signal frequency domain conversion on sensor output signal data corresponding to each sensor under different downhole working conditions, so as to generate frequency domain representation of output signals corresponding to each sensor under different downhole working conditions; Step S32: performing a signal phase difference analysis on the corresponding frequency domain representation of the downhole vibration output signal based on the frequency domain representation of the downhole acceleration output signal under different downhole working conditions to obtain the signal frequency domain phase difference between the downhole acceleration output and the downhole vibration output; Step S33: performing directional frequency segment energy and modulation depth analysis on the frequency domain representation of the downhole directional output signal corresponding to different downhole working conditions to obtain the frequency segment energy distribution and frequency segment modulation depth corresponding to the downhole directional output signal; Step S34: Dynamically simulate and calibrate multiple types of zero drift static calibration sensors based on the signal frequency domain phase difference between the downhole acceleration output and the downhole vibration output, and the frequency band energy distribution and frequency band modulation depth corresponding to the downhole directional output signal, so as to dynamically calibrate the high-temperature acceleration sensor and the high-temperature vibration sensor according to the signal frequency domain phase difference between the downhole acceleration output and the downhole vibration output, and dynamically calibrate the high-temperature directional sensor according to the frequency band energy distribution and frequency band modulation depth corresponding to the downhole directional output signal, to generate multiple types of dynamic calibration sensors.

[0011] Further, step S4 includes the following steps: Step S41: simulating the instantaneous strong impact interference constraint and the temperature sudden change interference constraint corresponding to the downhole through the high temperature environment chamber of the logging while drilling; Step S42: performing impact stress propagation attenuation strength analysis on the instantaneous strong impact interference constraint corresponding to the downhole, and obtaining the instantaneous impact stress propagation attenuation strength corresponding to the downhole; Step S43: Calculate the temperature thermal expansion rate of the underground temperature sudden change interference constraint to analyze the dynamic evolution process of the temperature field in the simulation cabin from the steady state to the sudden change state, and obtain the temperature thermal expansion rate of the underground temperature; Step S44: obtaining sensor output signals corresponding to multiple types of dynamic calibration sensors, and performing interference response evaluation and analysis on the sensor output signals corresponding to the multiple types of dynamic calibration sensors based on the corresponding instantaneous impact stress propagation attenuation strength and temperature thermal expansion change rate in the downhole using the output interference response evaluation calculation formula, to obtain the influence of the instantaneous strong impact attenuation strength and the temperature change rate on the interference response of the sensor output; Step S45: Based on the influence of instantaneous strong impact attenuation strength and temperature change rate on the interference response of sensor output, sensor detection verification and optimization are performed on multiple types of dynamic calibration sensors to generate multiple types of calibration verification and optimization sensors.

[0012] Furthermore, the output interference response evaluation calculation formula described in step S44 is specifically: ; In the formula, For the The influence degree of interference response corresponding to each sensor, To output the interference response impact time range, Evaluate the time variable for the disturbance response, For the Sensors in the time period The corresponding instantaneous impact stress propagation attenuation strength in the wellbore, is the sensor output sensitivity constant, For the Sensors in the time period The corresponding temperature thermal expansion rate in the well, is the influence factor of temperature thermal expansion on impact stress attenuation, For the Sensors in the time period The corresponding sensor output signal is is the sensor output signal strength attenuation factor, is the correction coefficient for the influence of disturbance response.

[0013] Furthermore, the present invention also provides a multi-type sensor calibration detection system, which is used to execute the multi-type sensor calibration detection method as described above, and the multi-type sensor calibration detection system includes: The zero-output static calibration module is used to integrate and install a variety of high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated in a high-temperature logging while drilling environmental chamber corresponding to high temperature, high pressure and strong vibration simulation functions, so as to generate multiple types of high-temperature sensors to be calibrated; the static conditions of normal temperature, normal pressure and no vibration corresponding to the high-temperature logging while drilling environmental chamber are designed, and the zero-output static calibration of multiple types of high-temperature sensors to be calibrated is performed based on the static conditions of normal temperature, normal pressure and no vibration, so as to obtain multiple types of zero-drift static calibration sensors; The downhole working condition synchronous acquisition module is used to simulate and design the temperature, pressure and vibration frequency constraint condition range corresponding to the wellhead to the bottom of the well through the high temperature environment chamber of the well logging while drilling, and determine different downhole environmental working condition range sub-conditions while drilling according to the temperature, pressure and vibration frequency constraint condition range corresponding to the wellhead to the bottom of the well; perform time stamp synchronous acquisition in response to multiple types of zero drift static calibration sensors according to different downhole environmental working condition range sub-conditions while drilling, so as to output the sensor output signal data corresponding to each sensor under different downhole working conditions; The downhole dynamic simulation calibration module is used to perform dynamic simulation calibration on multiple types of zero drift static calibration sensors based on the corresponding sensor output signal data of each sensor under different downhole working conditions, thereby generating multiple types of dynamic calibration sensors; The interference constraint detection and verification module is used to simulate the instantaneous strong impact interference constraints and temperature sudden change interference constraints corresponding to the underground through the high-temperature environmental chamber of the logging while drilling, and to perform sensor detection verification and optimization on multiple types of dynamic calibration sensors based on the instantaneous strong impact interference constraints and temperature sudden change interference constraints, thereby generating multiple types of calibration verification and optimization sensors.

[0014] Beneficial effects of the present invention: 1. The multi-type sensor calibration and detection method proposed in the present invention has the beneficial effect of simulating extreme environmental conditions by integrating a variety of high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated in a high-temperature environment chamber for logging while drilling with high temperature, high pressure and strong vibration simulation functions, thereby effectively generating multiple types of high-temperature sensors to be calibrated. The core effect of this step is to provide a simulation platform close to the actual downhole working environment for the calibration and testing of the sensor, avoiding the high cost and potential risks of direct calibration downhole. By designing static conditions without vibration at normal temperature and pressure, the zero-position output static calibration is completed, which can preliminarily eliminate the zero drift effect of the sensor in the static state. This static calibration process lays the foundation for subsequent dynamic calibration, ensures the initial accuracy and stability of the sensor, and provides a reliable benchmark reference for the sensor in practical applications, effectively improving the measurement accuracy and data credibility. In particular, in the face of extreme conditions such as high temperature, high pressure and strong vibration, the basic performance data of the sensor can be obtained in this way, and the impact caused by changes in the external environment can be solved, so that the long-term stability and reliability of the sensor are better guaranteed. Secondly, by simulating the temperature, pressure and vibration frequency constraint range from the wellhead to the bottom of the hole through the high-temperature environmental chamber of the logging while drilling, the actual impact of the downhole environment on the sensor performance can be accurately reflected, and different operating conditions can be divided according to the specific conditions of the downhole environment. The output signal data of each sensor can be synchronously collected under these operating conditions, which can provide sensor response data in a real environment, thereby ensuring the efficient operation and accurate output of the sensor in a variety of working conditions, reducing the error rate in actual downhole operations, and synchronously collecting data through precise timestamps, which can also effectively eliminate possible interference factors such as signal delays, thereby improving the accuracy and timeliness of the data. Then, by dynamically calibrating the sensor based on the previously synchronously collected data, the dynamic changes of the actual downhole working environment can be simulated to reveal the response characteristics of the sensor in various dynamic environments, especially the impact of rapid changes in temperature and pressure, frequent changes in vibration, etc. on sensor performance. This dynamic calibration process can effectively eliminate the signal output drift error caused by environmental changes and between sensors, ensuring that the sensor can continue to provide accurate measurement data in actual applications. By comparing and correcting the output signals of various sensors under different downhole working conditions with the actual calibration data, the performance of the sensor can be optimized, thereby improving the wide applicability and reliability of the calibration results. It can greatly enhance the response capability of the sensor in a complex downhole environment, so that it can still maintain high accuracy and stability under harsh conditions such as high temperature, high pressure and vibration, ensuring the accuracy and credibility of the calibration detection of the logging sensor.Finally, by simulating the instantaneous strong impact interference and sudden temperature change interference in the well, it can effectively take into account the extreme working conditions such as instantaneous impact and sudden temperature change that occur during downhole operations. These factors usually lead to unstable sensor performance or drastic fluctuations in the output signal. By simulating these interference conditions, the sensor can be comprehensively tested in the experimental stage, potential performance problems can be discovered in time, and necessary adjustments and optimizations can be made to the sensor. This process can greatly improve the reliability of the sensor in the actual downhole operating environment, ensure that the sensor can still work normally and output accurate data in emergency situations, and enable the calibrated sensor to cope with various common interference factors in the downhole environment, thereby improving the adaptability and stability of the sensor in complex environments, thereby providing reliable guarantees for subsequent logging data.

[0015] 2. The multi-type sensor calibration and detection system proposed in the present invention is composed of a zero-position output static calibration module, a downhole working condition synchronous acquisition module, a downhole dynamic simulation calibration module and an interference constraint detection and verification module. It can implement any multi-type sensor calibration and detection method described in the present invention, and is used to combine the operations between computer programs running on each module to implement the multi-type sensor calibration and detection method. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient multi-type sensor calibration and detection process, thereby simplifying the operation process of the multi-type sensor calibration and detection system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings: Figure 1 A schematic diagram of the steps of the calibration and detection method of multiple types of sensors of the present invention; Figure 2 for Figure 1 Detailed step flow diagram of step S1; Figure 3 for Figure 2 Detailed step flow chart of step S14 in FIG. DETAILED DESCRIPTION

[0017] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0018] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0019] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0020] To achieve this, please refer to Figure 1 to Figure 2 The present invention provides a multi-type sensor calibration detection method, the method comprising the following steps: Step S1: Integrate and install a variety of high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated in a high-temperature logging while drilling environment chamber corresponding to high temperature, high pressure and strong vibration simulation functions to generate multiple types of high-temperature sensors to be calibrated; static conditions of normal temperature, normal pressure and vibration-free corresponding to the design of the high-temperature logging while drilling environment chamber are performed, and zero-position output static calibration is performed on multiple types of high-temperature sensors to be calibrated based on the static conditions of normal temperature, normal pressure and vibration-free, so as to obtain multiple types of zero-position drift static calibration sensors; Step S2: Design the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead and the bottom of the well through the LWD high-temperature environment chamber simulation, and determine different LWD downhole environmental working condition range sub-conditions according to the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead and the bottom of the well; perform time stamp synchronization acquisition in response to multiple types of zero drift static calibration sensors according to different LWD downhole environmental working condition range sub-conditions, so as to output the sensor output signal data corresponding to each sensor under different downhole working conditions, including downhole acceleration, downhole orientation and downhole vibration sensor output signals; Step S3: performing dynamic simulation calibration on multiple types of zero drift static calibration sensors based on sensor output signal data corresponding to each sensor under different downhole working conditions, and generating multiple types of dynamic calibration sensors; Step S4: The instantaneous strong impact interference constraint and the temperature sudden change interference constraint corresponding to the downhole are simulated by the high-temperature environment chamber of the logging while drilling, and the sensor detection verification and optimization of multiple types of dynamic calibration sensors are performed based on the instantaneous strong impact interference constraint and the temperature sudden change interference constraint to generate multiple types of calibration verification optimization sensors.

[0021] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the multi-type sensor calibration detection method of the present invention. In this example, the multi-type sensor calibration detection method includes the following steps: Step S1: Integrate and install a variety of high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated in a high-temperature logging while drilling environment chamber corresponding to high temperature, high pressure and strong vibration simulation functions to generate multiple types of high-temperature sensors to be calibrated; static conditions of normal temperature, normal pressure and vibration-free corresponding to the design of the high-temperature logging while drilling environment chamber are performed, and zero-position output static calibration is performed on multiple types of high-temperature sensors to be calibrated based on the static conditions of normal temperature, normal pressure and vibration-free, so as to obtain multiple types of zero-position drift static calibration sensors; In an embodiment of the present invention, a high-temperature acceleration sensor, a high-temperature directional sensor and a high-temperature vibration sensor to be calibrated are integrated and installed in a high-temperature environmental chamber of logging while drilling. The environmental chamber is designed to simulate high temperature, high pressure and strong vibration environments to ensure that the sensors can exhibit corresponding working conditions in a real downhole environment. Each sensor is installed at a corresponding position to facilitate the subsequent acquisition and calibration of output signals of different types of sensors. In this step, it is important to simulate a static condition environment with normal temperature, pressure and no vibration. By accurately controlling the temperature, pressure and vibration state in the chamber, a stable calibration environment is provided without external interference. Zero-position output calibration is performed on all sensors to be calibrated according to static conditions with normal temperature, pressure and no vibration. The calibration operation is performed through a dedicated zero-point calibration device. The device can accurately measure the static zero-position output of each sensor and record the initial voltage or current output of each sensor. At this time, the zero-position drift of each sensor is recorded by the system and preliminarily compensated to ensure that accurate sensor response signals can be obtained in the subsequent calibration process, and finally multiple types of zero-position drift static calibration sensors are obtained.

[0022] Step S2: Design the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead and the bottom of the well through the LWD high-temperature environment chamber simulation, and determine different LWD downhole environmental working condition range sub-conditions according to the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead and the bottom of the well; perform time stamp synchronization acquisition in response to multiple types of zero drift static calibration sensors according to different LWD downhole environmental working condition range sub-conditions, so as to output the sensor output signal data corresponding to each sensor under different downhole working conditions, including downhole acceleration, downhole orientation and downhole vibration sensor output signals; In the embodiment of the present invention, the temperature, pressure, vibration frequency and other environmental working condition constraint ranges from the wellhead to the bottom of the well are simulated by a high-temperature environment chamber for logging while drilling. The chamber has a simulation system that can accurately control different temperatures, pressures and vibration frequencies, covering the range of working condition changes from the wellhead to the bottom of the well. Specifically, the temperature range is between 50°C and 200°C, the pressure range is between 0MPa and 50MPa, and the vibration frequency range is 10 Hz to 100 Hz according to the operating characteristics of the downhole equipment. By accurately controlling these parameters in the chamber, a plurality of different downhole working conditions are formed. After determining the range of different downhole working conditions, these working conditions are subdivided into a plurality of sub-conditions according to the response characteristics required by the sensor. For example, For example, temperature, pressure and vibration frequency correspond to several specific values ​​or ranges of change respectively. By setting these sub-conditions, it is ensured that the response data under each sub-condition can reflect the actual performance of the sensor under different working conditions. Under each condition, the timestamp will be synchronized to collect the output signals of various sensors, including the acceleration data of the acceleration sensor, the direction change data of the directional sensor and the vibration data of the vibration sensor. When collecting data, high-frequency data collection will be performed through the sampling card and the signal processing unit to ensure that the output data of each sensor can be accurately recorded, and finally the sensor output signal data corresponding to each sensor under different downhole working conditions will be output, including downhole acceleration, downhole orientation and downhole vibration sensor output signals.

[0023] Step S3: performing dynamic simulation calibration on multiple types of zero drift static calibration sensors based on sensor output signal data corresponding to each sensor under different downhole working conditions, and generating multiple types of dynamic calibration sensors; In an embodiment of the present invention, dynamic simulation calibration is performed on multiple types of zero drift static calibration sensors based on previously collected output signal data of each sensor. The key to this process is to use the response data of the sensor under different environmental conditions, combined with the existing static calibration data, to perform dynamic response compensation and calibration. First, by comparing the collected sensor output signal with the changes in the actual downhole working conditions (such as temperature, pressure, vibration frequency, etc.), a dynamic response model of the sensor is established. To this end, a dynamic calibration method based on mathematical modeling is adopted, and the relationship between the sensor output signal and the known environmental working condition data is used to perform error analysis and compensation. By comparing the sensor data after static calibration with the dynamic response data, the dynamic drift of the sensor caused by factors such as temperature, pressure and vibration can be identified. Then, these dynamic drifts are corrected by the calibration algorithm to make the output signal of the sensor closer to the true value. In this calibration process, the system uses dynamic calibration technology to continuously adjust the response curve of the sensor until the output of each type of sensor under different environmental conditions is stabilized within an ideal range, and finally generates multiple types of dynamic calibration sensors.

[0024] Step S4: The instantaneous strong impact interference constraint and the temperature sudden change interference constraint corresponding to the downhole are simulated by the high-temperature environment chamber of the logging while drilling, and the sensor detection verification and optimization of multiple types of dynamic calibration sensors are performed based on the instantaneous strong impact interference constraint and the temperature sudden change interference constraint to generate multiple types of calibration verification optimization sensors.

[0025] In the embodiment of the present invention, the constraint conditions of the instantaneous strong impact interference and the sudden temperature change interference in the well are simulated by the high-temperature environment chamber of the logging while drilling. This operation evaluates the performance of the sensor in the face of these extreme environments by simulating the instantaneous impact and sudden temperature change in the chamber (such as the severe impact caused by the sudden start or stop of the equipment, the sharp fluctuation of the temperature in the well, etc.). The instantaneous strong impact interference is usually caused by the rapidly changing mechanical load, and the sudden temperature change interference is mainly caused by the sharp change of the underground working environment. Under these interference conditions, the sensor will experience more violent response fluctuations, especially the acceleration sensor and the vibration sensor, whose output signals will change significantly. In order to verify and optimize the sensor, It is necessary to collect the sensor output signal under each interference condition and compare and analyze it with the standard interference response model. Through data analysis, abnormal fluctuations in the sensor output signal can be identified and further optimized. In this process, the optimization strategy includes the introduction of filtering algorithms, signal smoothing algorithms and fault-tolerant mechanisms to ensure that the sensor can maintain stable and accurate output in extreme environments. After the above optimization processing, the performance of the sensor has been verified and improved, ensuring that it can provide high-precision sensing data in complex and extreme downhole environments. At this time, the sensor can be regarded as a fully calibrated and verified sensor, and finally optimized to generate multiple types of calibrated, verified and optimized sensors.

[0026] Further, step S1 includes the following steps: Step S11: multiple high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated are integrated and installed in a high-temperature environment chamber for logging while drilling corresponding to high temperature, high pressure and strong vibration simulation functions, and special heat-insulating and pressure-bearing materials are used to ensure that the environment in the chamber is stable and evenly distributed, so as to generate multiple types of high-temperature sensors to be calibrated; Step S12: Designing a static condition with normal temperature and pressure and no vibration corresponding to the high temperature environment chamber of the logging while drilling; Step S13: performing static condition zero-position synchronous acquisition of multiple types of high-temperature sensors to be calibrated based on static conditions of normal temperature, normal pressure and no vibration, so as to obtain the zero-position output value corresponding to each sensor under static conditions; Step S14: obtaining the detection sensitivity and inherent zero drift of each sensor through multiple types of high-temperature sensors to be calibrated, and performing zero drift compensation correction on the zero output value of the corresponding sensor under static conditions based on the detection sensitivity and inherent zero drift of each sensor, so as to obtain the zero drift compensation error correction value of each sensor under static conditions; Step S15: performing zero output static calibration on multiple types of high temperature sensors to be calibrated based on the zero drift compensation error correction value corresponding to each sensor under static conditions to obtain multiple types of zero drift static calibration sensors.

[0027] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps: Step S11: multiple high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated are integrated and installed in a high-temperature environment chamber for logging while drilling corresponding to high temperature, high pressure and strong vibration simulation functions, and special heat-insulating and pressure-bearing materials are used to ensure that the environment in the chamber is stable and evenly distributed, so as to generate multiple types of high-temperature sensors to be calibrated; In an embodiment of the present invention, a variety of high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated are integrated and installed in a dedicated logging while drilling high-temperature environmental chamber. The design requirements of this environmental chamber meet the conditions of high temperature, high pressure and strong vibration simulation, so as to simulate the real working environment in practical applications. In order to ensure the stability and uniform distribution of the environment, efficient heat insulation and pressure-bearing materials are selected, such as ceramic fibers, high-temperature resistant alloys and composite materials. These materials have excellent heat insulation properties and can withstand extreme high temperature and high pressure conditions that may occur during the working process. During installation, each sensor is first accurately positioned by precision mechanical tools to ensure that they are evenly distributed in the environment chamber to avoid data errors caused by uneven space. At the same time, the electrical connections of all sensors need to be strictly tested to ensure that the signal transmission is stable and interference-free, and can operate stably for a long time in a high temperature environment. The temperature, pressure and vibration parameters in the environmental chamber are monitored in real time by precise testing instruments (such as thermocouples, pressure sensors and vibration monitoring instruments), and finally multiple types of high-temperature sensors to be calibrated are generated.

[0028] Step S12: Designing a static condition with normal temperature and pressure and no vibration corresponding to the high temperature environment chamber of the logging while drilling; In an embodiment of the present invention, it is required to design a static condition of normal temperature and pressure without vibration, so as to facilitate the zero-position synchronous acquisition of the high-temperature sensor to be calibrated. In order to achieve this static environmental condition, a static cabin with constant temperature and pressure is designed. The cabin adopts a precise temperature control system. By adjusting the working state of the heater and the cooling system, the temperature in the cabin is kept stable within the normal temperature range. The temperature control accuracy is required to reach ±0.1°C to ensure that the test of the sensor at the standard temperature is not affected by environmental changes. The pressure is maintained at normal pressure conditions, and a high-precision pressure regulation system is adopted to ensure that the pressure value fluctuates no more than ±1kPa. At the same time, in order to eliminate the interference of vibration, a vibration isolation system is installed in the cabin. By installing vibration isolation pads and using suspension devices, it is ensured that external vibration has no impact on the test environment. There are also multiple monitoring devices in the cabin to display temperature, pressure and vibration data in real time. Finally, the corresponding static condition of normal temperature and pressure without vibration is designed and generated.

[0029] Step S13: performing static condition zero-position synchronous acquisition of multiple types of high-temperature sensors to be calibrated based on static conditions of normal temperature, normal pressure and no vibration, so as to obtain the zero-position output value corresponding to each sensor under static conditions; In an embodiment of the present invention, each sensor is synchronously collected through a dedicated data acquisition system (such as a high-precision digital signal processing unit or a data acquisition card). The system supports multi-channel synchronous operation and can accurately record the zero-position output value of each sensor under static conditions. In order to avoid interference from changes in the external environment, all collection operations are performed after the temperature, pressure and vibration conditions are stable. During collection, it is ensured that the output signal of each sensor is recorded clearly and accurately, and the sampling frequency is not less than 100 times per second to ensure the accuracy of the zero position. During the collection process, zero-point detection technology must be used to avoid the influence of system noise on the data, to ensure that the zero-position output value of each sensor reflects its own characteristics without being interfered by external factors, and finally the zero-position output value corresponding to each sensor under static conditions is obtained.

[0030] Step S14: obtaining the detection sensitivity and inherent zero drift of each sensor through multiple types of high-temperature sensors to be calibrated, and performing zero drift compensation correction on the zero output value of the corresponding sensor under static conditions based on the detection sensitivity and inherent zero drift of each sensor, so as to obtain the zero drift compensation error correction value of each sensor under static conditions; In an embodiment of the present invention, the zero drift of each sensor is compensated and corrected, and error analysis is performed through the above-collected data according to the detection sensitivity and inherent zero drift of each sensor. First, the sensitivity of each sensor is experimentally tested to obtain its corresponding sensitivity curve, and the drift under different working conditions is calculated. The sensitivity can be obtained by exciting the sensor with a standard signal (such as using a force or temperature source of known accuracy) and experimentally measuring the relationship between the output signal and the input signal. Then, the zero drift compensation factor is calculated in combination with the zero output value and sensitivity of each sensor under static conditions. These factors will be used to correct the zero output of the sensor and compensate for the drift error caused by environmental changes or unstable sensor characteristics. In the correction process, a mathematical model (such as linear regression, least squares method, etc.) is used to analyze the original data to ensure that the output data of each sensor reaches the expected accuracy, and finally the zero drift compensation error correction value corresponding to each sensor under static conditions is obtained.

[0031] Step S15: performing zero output static calibration on multiple types of high temperature sensors to be calibrated based on the zero drift compensation error correction value corresponding to each sensor under static conditions to obtain multiple types of zero drift static calibration sensors.

[0032] In an embodiment of the present invention, a zero output static calibration is performed on a high temperature sensor to be calibrated according to the aforementioned zero drift compensation correction value. First, a precision calibration instrument (such as a standard force source, a standard temperature source) is used to provide a known standard input signal, and the sensors to be calibrated are tested one by one. The accuracy of the compensation correction is verified by comparing the difference between the output value of the sensor and the standard value. According to the characteristics of each sensor, multiple calibration tests are performed to ensure that the correction effect of the zero drift compensation error is verified and calibrated. During the calibration process, the zero output value of each sensor is recorded and compared with the preset standard value to ensure that the output of each sensor meets the specified zero position requirements. If there is a large deviation between the output value of a certain sensor and the standard value, it is necessary to further adjust the compensation correction value or recalibrate the sensor until the requirements of the zero static calibration are met. After the calibration is completed, the zero drift error correction values ​​of all sensors are within a tolerance range, thereby obtaining calibrated multi-type zero drift static calibration sensors, ensuring that they can provide high-precision and high-reliability measurement data in actual work, and finally obtaining multi-type zero drift static calibration sensors.

[0033] Further, step S14 includes the following steps: Step S141: obtaining the corresponding microstructure changes of each sensor at normal temperature and pressure through multiple types of high-temperature sensors to be calibrated, including the nonlinear changes of sensor resistance with temperature and the charge output changes of the piezoelectric element affected by pressure, and performing detection sensitivity fitting analysis on the corresponding multiple types of high-temperature sensors to be calibrated based on the corresponding microstructure changes of each sensor at normal temperature and pressure to obtain the detection sensitivity corresponding to each sensor; Step S142: obtaining the corresponding weak electromagnetic interference and airflow micro-disturbance interference in the high-temperature environment chamber of the logging while drilling, and performing sensor inherent drift analysis on multiple types of high-temperature sensors to be calibrated based on the weak electromagnetic interference and airflow micro-disturbance interference to obtain the inherent zero drift corresponding to each sensor; Step S143: performing time series statistics calculation on the zero-position output values ​​corresponding to each sensor under static conditions to obtain the zero-position output statistics corresponding to each sensor, including the zero-position output period mean and the zero-position output period standard deviation; Step S144: Based on the detection sensitivity, inherent zero drift and zero output statistics of each sensor, the zero drift compensation correction calculation formula is used to perform zero drift compensation correction on the zero output value of the corresponding sensor under static conditions to obtain the zero drift compensation error correction value corresponding to each sensor under static conditions.

[0034] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2Detailed step flow diagram of step S14 in the embodiment, step S14 includes the following steps: Step S141: obtaining the corresponding microstructure changes of each sensor at normal temperature and pressure through multiple types of high-temperature sensors to be calibrated, including the nonlinear changes of sensor resistance with temperature and the charge output changes of the piezoelectric element affected by pressure, and performing detection sensitivity fitting analysis on the corresponding multiple types of high-temperature sensors to be calibrated based on the corresponding microstructure changes of each sensor at normal temperature and pressure to obtain the detection sensitivity corresponding to each sensor; In an embodiment of the present invention, a variety of high-temperature sensors to be calibrated are tested to obtain their microstructure changes under normal temperature and pressure conditions. During the test, the sensor is stably placed in a normal temperature environment using a temperature control system, and the change of the sensor resistance with temperature is recorded by a precise temperature sensor. In this process, the temperature change range used should be normal temperature (20-25°C), and the output signal of the sensor is collected. Specifically, every time the temperature rises to a certain degree (for example, an increase of 1°C), the change of the sensor resistance is recorded, and a curve of the resistance change with temperature is drawn. For the piezoelectric sensor, a standard loading device is used to apply a known pressure, and a high-sensitivity charge amplifier is used to obtain its charge output signal. In this process, the magnitude of the applied pressure is gradually adjusted, and the charge output of the sensor is recorded at each pressure level. Combined with the microstructure characteristics of the sensor material and the output change law, the detection sensitivity of each sensor is obtained by fitting through a data analysis model, that is, the change in the sensor output caused by a unit temperature or pressure change, and finally the detection sensitivity corresponding to each sensor is obtained.

[0035] Step S142: obtaining the corresponding weak electromagnetic interference and airflow micro-disturbance interference in the high-temperature environment chamber of the logging while drilling, and performing sensor inherent drift analysis on multiple types of high-temperature sensors to be calibrated based on the weak electromagnetic interference and airflow micro-disturbance interference to obtain the inherent zero drift corresponding to each sensor; In an embodiment of the present invention, by analyzing the external interference to the sensor in a high temperature environment, especially electromagnetic interference and airflow disturbance, first, a standard high temperature environment chamber is set to simulate the temperature and airflow conditions in the drilling process, and a special electromagnetic shielding device is used to limit the interference of external electromagnetic waves, and the electromagnetic noise data in the chamber is recorded at the same time, and by using a high-frequency electromagnetic wave detector, the weak electromagnetic interference signals that may exist in the chamber are captured. These signals can reflect the electromagnetic interference in the high temperature environment, especially in the drilling process. Then, a high-precision airflow detection instrument is used to record the airflow fluctuations in the chamber. The airflow micro-disturbance to the sensor causes its zero drift, especially when the fluid mechanics conditions are unstable. By combining the relationship between the airflow velocity, temperature change and the sensor output, the inherent drift of the sensor can be modeled and analyzed. The specific analysis method includes performing spectrum analysis on multiple sets of test data, identifying the characteristic frequencies of electromagnetic interference and airflow disturbance, and calculating the impact on the zero drift of the sensor, and finally obtaining the inherent zero drift corresponding to each sensor.

[0036] Step S143: performing time series statistics calculation on the zero-position output values ​​corresponding to each sensor under static conditions to obtain the zero-position output statistics corresponding to each sensor, including the zero-position output period mean and the zero-position output period standard deviation; In an embodiment of the present invention, by analyzing the zero-position signal output by the sensor under static conditions and calculating its time series statistics, the law of the zero-position drift of the sensor is further understood. During the experiment, each sensor is placed in a static environment without external interference, and its output value is recorded over a period of time. The recording time of the output signal can be selected as a few hours or a few days to ensure that the long-term zero-position drift can be covered. By continuously collecting the sensor output signal and calculating its time series statistics, the zero-position output time period mean and standard deviation of each sensor are obtained. The specific method is to first calculate the mean of the collected zero-position output data to determine the expected value of the zero position; then calculate the standard deviation of the data to evaluate the volatility of the zero-position output signal. The core of this process is to extract the stability characteristics of the sensor in long-term static operation through data processing technology, and finally obtain the zero-position output statistics corresponding to each sensor, including the zero-position output time period mean and the zero-position output time period standard deviation.

[0037] Step S144: Based on the detection sensitivity, inherent zero drift and zero output statistics of each sensor, the zero drift compensation correction calculation formula is used to perform zero drift compensation correction on the zero output value of the corresponding sensor under static conditions to obtain the zero drift compensation error correction value corresponding to each sensor under static conditions.

[0038] In an embodiment of the present invention, by using the detection sensitivity, inherent zero-position drift and zero-position output statistics obtained in the previous steps, a special compensation algorithm is used to perform drift correction on the zero-position output value of each sensor. First, based on the obtained sensitivity data, the zero-position output value is converted into an output signal related to the external temperature or pressure change, and correction is performed on this basis. Then, using the inherent zero-position drift as an adjustment reference, a compensation correction formula is designed. The formula takes into account the sensitivity, inherent drift and real-time zero-position output fluctuation of the sensor. In the formula, the drift of the zero-position output is related to the working environment of the sensor (such as temperature, airflow, electromagnetic interference, etc.) to achieve the correction of the zero-position drift of each sensor. The compensated zero-position output value should be able to significantly reduce the system error of the sensor, and finally the zero-position drift compensation error correction value corresponding to each sensor under static conditions is obtained.

[0039] Furthermore, the zero drift compensation correction calculation formula described in step S144 is specifically: ; In the formula, For the The zero drift compensation error correction value corresponding to each sensor under static conditions is: , where 1 represents a high temperature acceleration sensor, 2 represents a high temperature directional sensor, and 3 represents a high temperature vibration sensor. is the sensor zero position output time interval, is the zero position output time variable parameter, For the The detection sensitivity of each sensor is For the Sensors at time The inherent zero drift at For the The sensitivity weight coefficient corresponding to each sensor is: For the Sensors at time The ambient temperature, For the Sensors at time The zero output value at For the The average value of the zero-position output period corresponding to each sensor, For the The standard deviation of the zero output period corresponding to each sensor is: For the The temperature compensation coefficient corresponding to each sensor is: It is the correction coefficient of the zero drift compensation error correction value.

[0040] The present invention obtains a zero drift compensation correction calculation formula by using a specific mathematical model and verifying it, which is used to perform zero drift compensation correction on the zero output value corresponding to the corresponding sensor under static conditions. The zero drift compensation correction calculation formula can effectively compensate for the drift caused by high temperature and environmental changes by comprehensively considering factors such as time, temperature, and sensitivity weight. For example, The term takes into account the effect of temperature on the zero-position output of the sensor, so that the zero-position drift can be dynamically corrected according to the change of ambient temperature, reducing the error caused by temperature fluctuations. By introducing the inherent zero-position drift in the formula, the inherent drift of each sensor at different time points can be modeled and compensated, so as to obtain a more accurate zero-position output correction value, which can be inferred or predicted through the experimental data and environmental data of the sensor, so that the drift correction value of each sensor is more in line with the actual situation. The formula takes multiple factors into account, especially sensitivity, ambient temperature and zero-position output statistics (such as mean and standard deviation), etc. It not only corrects the drift caused by high temperature, but also considers the errors caused by environmental noise (such as electromagnetic interference and airflow micro-disturbance). In this way, the formula realizes the accurate correction of zero-position output under static conditions, ensuring the stability and reliability of multiple types of sensors in complex environments. In this formula, the time series data is processed as a variable through integration, and the performance of the sensor in the entire time interval is taken into account. The mean and standard deviation of the zero output reflect the stability and volatility of the sensor output. Through this time series statistic, the influence of time changes on zero drift can be dynamically corrected, thereby improving the accuracy of zero drift compensation. In this formula, the sensitivity and temperature compensation coefficient are combined with other parameters through and The two coefficients adjust the compensation effects of sensitivity and temperature respectively, so that the zero drift correction value can be dynamically adjusted according to the characteristics of different sensors. The sensitivity and temperature compensation coefficients of the sensor will vary due to differences in material properties and working environment. The formula can provide targeted compensation solutions for different types of sensors, so that the compensation calculation formula can be adjusted according to the needs of different sensors and experimental environments. By adjusting these coefficients, the drift compensation effect can be further optimized according to the actual application scenario. For example, the correction coefficient is used to finally fine-tune the error correction value to ensure that the sensor output value can be as close to the true value as possible under specific conditions. In summary, this formula fully takes into account the first The zero drift compensation error correction value corresponding to each sensor under static conditions , , where 1 represents a high-temperature acceleration sensor, 2 represents a high-temperature directional sensor, 3 represents a high-temperature vibration sensor, and the sensor zero position output time interval , zero output time variable parameters , No. The detection sensitivity of each sensor , No. Sensors at time The inherent zero drift at , No. The sensitivity weight coefficients of the sensors , No. Sensors at time Ambient temperature , No. Sensors at time Zero output value at , No. The average value of the zero output period corresponding to each sensor , No. The standard deviation of the zero output period corresponding to each sensor , No. Temperature compensation coefficients for each sensor , correction coefficient of zero drift compensation error correction value , according to The zero drift compensation error correction value corresponding to each sensor under static conditions The correlation between the above parameters forms a functional relationship: ; This formula can realize the zero drift compensation correction process of the zero output value of the corresponding sensor under static conditions. At the same time, the correction coefficient of the zero drift compensation error correction value is The introduction of can be adjusted according to the error conditions that occur during the calculation process, thereby improving the accuracy and applicability of the zero drift compensation correction calculation formula.

[0041] Further, step S2 includes the following steps: Step S21: Design the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead to the bottom of the well by simulating the high temperature environment chamber of the logging while drilling; In an embodiment of the present invention, a simulation system of a high-temperature environmental chamber for logging while drilling is constructed to accurately reflect the changes in temperature, pressure and vibration frequency from the wellhead to different depths at the bottom of the well. By analyzing the actual working conditions downhole, a corresponding simulation environmental chamber is designed to ensure that the temperature (50°C to 200°C), pressure (0MPa to 50MPa) and vibration frequency (10Hz to 100Hz) ranges in the real downhole environment can be covered. The design of the environmental chamber must be able to simulate the temperature increase and pressure increase caused by different depths downhole and the changes in mechanical vibration caused by drilling operations. The simulation chamber usually includes a temperature control device, a pressure vessel and a vibration generating device. All these devices need to be adjusted and monitored in real time by a computer control system to ensure that the simulated conditions are consistent with the changes in the actual downhole environment and meet the sensor detection requirements. Finally, the design generates the corresponding temperature, pressure and vibration frequency constraint condition range from the wellhead to the bottom of the well.

[0042] Step S22: determining different downhole environmental working condition range sub-conditions while drilling according to the corresponding temperature, pressure and vibration frequency constraint ranges from the wellhead to the bottom of the well; In an embodiment of the present invention, different downhole environmental working condition range sub-conditions are designed according to the previously determined constraint ranges of temperature, pressure and vibration frequency. For example, the temperature range can be divided into multiple sub-intervals, such as 50°C-100°C, 100°C-150°C, 150°C-200°C; the pressure range can be divided into 0-20MPa, 20MPa-35MPa, 35MPa-50MPa; the vibration frequency can be divided into 10Hz-30Hz, 30Hz-60Hz, 60Hz-100Hz. By combining experiments with calculations, the environmental characteristics under each sub-condition are further analyzed to ensure that various extreme situations occurring during actual downhole operations can be fully covered. In addition, the working conditions need to be refined according to different depths, considering the progressive changes of downhole pressure and temperature with depth, and combining various faults or interferences occurring in actual downhole logging operations to form a comprehensive downhole working condition model, and finally determine different downhole environmental working condition range sub-conditions while drilling.

[0043] Step S23: performing detection clock synchronization response control in response to multiple types of zero drift static calibration sensors according to different downhole environmental working condition range sub-conditions while drilling, so as to generate detection response synchronization clock control instructions corresponding to each sensor; In an embodiment of the present invention, zero drift calibration is performed for multiple types of sensors used based on previously defined sub-conditions of different downhole environmental conditions. These sensors may include acceleration sensors, directional sensors, vibration sensors, etc. Each type of sensor has its own unique zero drift characteristics and needs to be calibrated under different temperature, pressure, and vibration frequency environments. To ensure the high accuracy of the measured data, clock synchronization control of multiple sensors must be implemented. Specifically, accurate timestamp instructions are generated through a high-precision clock synchronization module, and these instructions are applied to each sensor. These instructions will ensure that all sensors can synchronously detect data under different environmental conditions to avoid measurement deviations caused by time errors. The synchronous control system needs to have real-time feedback and adjustment functions so that when the downhole environmental conditions change, the clock synchronization adjustment can be automatically performed to ensure that the responses between different sensors remain consistent, and finally generate detection response synchronization clock control instructions corresponding to each sensor.

[0044] Step S24: The detection response synchronization clock control instructions corresponding to each sensor are applied to the corresponding multi-type zero drift static calibration sensors for timestamp synchronization acquisition to output the sensor output signal data corresponding to each sensor under different downhole working conditions, including downhole acceleration, downhole orientation and downhole vibration sensor output signals.

[0045] In an embodiment of the present invention, by applying the previously generated synchronous clock control instructions to each sensor, through the timestamp synchronization mechanism, it is ensured that the time stamp of the data is consistent when each sensor collects signals. In this way, the system can accurately record the signal data output by each sensor and ensure the timing and authenticity of these signal data. In specific operations, it is first necessary to transmit the synchronous clock signal to each sensor through the control system instruction. These sensors will perform synchronous collection based on the received clock signal. After receiving the clock synchronization signal, each sensor immediately starts to collect and output corresponding sensor data. These data include acceleration, downhole orientation, vibration signals, etc. These signal data are transmitted to the main control system through a high-speed data acquisition system for real-time monitoring and storage. As the downhole working conditions change, the collected data will be sorted according to the timestamp mark, and finally the corresponding sensor output signal data of each sensor under different downhole working conditions will be output.

[0046] Further, step S3 includes the following steps: Step S31: performing signal frequency domain conversion on sensor output signal data corresponding to each sensor under different downhole working conditions, so as to generate frequency domain representation of output signals corresponding to each sensor under different downhole working conditions; In an embodiment of the present invention, output signal data of various types of sensors under different downhole working conditions are collected, including original signals output by multiple sensors such as downhole acceleration, vibration, and orientation, and the original signals are converted from the time domain to the frequency domain by fast Fourier transform (FFT) or other frequency domain conversion methods. The specific operation is to perform piecewise window function processing on the sensor output signal and convert it into frequency domain data to obtain the frequency characteristic representation of each sensor signal under different downhole working conditions. Assuming that the output signal of the acceleration sensor under working condition A is acceleration data a(t), the signal is subjected to FFT transformation to obtain its frequency domain representation A(f). The frequency domain representation of this signal includes the amplitude information of each frequency band and its corresponding frequency position. After completing the frequency domain conversion of all sensors, the frequency domain signals of all sensors under different downhole working conditions are obtained, and finally the frequency domain representation of the output signal corresponding to each sensor under different downhole working conditions is generated.

[0047] Step S32: performing a signal phase difference analysis on the corresponding frequency domain representation of the downhole vibration output signal based on the frequency domain representation of the downhole acceleration output signal under different downhole working conditions to obtain the signal frequency domain phase difference between the downhole acceleration output and the downhole vibration output; In the embodiment of the present invention, the phase difference between the downhole acceleration and the downhole vibration sensor is calculated based on the frequency domain representation of the downhole acceleration and the downhole vibration sensor obtained previously. Assuming that the frequency domain representation of the acceleration sensor is A(f), and the frequency domain representation of the vibration sensor is V(f), for each frequency point , the corresponding phase difference between the acceleration signal and the vibration signal at this frequency can be calculated , thereby obtaining the phase difference of each frequency point. This process adopts the common phase difference analysis method, which uses the amplitude and phase calculation of complex numbers to extract the phase information of each frequency point. Through this method, the frequency domain phase difference between the downhole acceleration output and the downhole vibration output can be obtained, and the changing trend of this phase difference under different working conditions can be further analyzed to judge the synchronization of the signal or the existing error, and finally the signal frequency domain phase difference between the downhole acceleration output and the downhole vibration output can be obtained.

[0048] Step S33: performing directional frequency segment energy and modulation depth analysis on the frequency domain representation of the downhole directional output signal corresponding to different downhole working conditions to obtain the frequency segment energy distribution and frequency segment modulation depth corresponding to the downhole directional output signal; In the embodiment of the present invention, the downhole directional sensor signal is analyzed. The specific operation is to first obtain the frequency domain representation of the directional sensor under different downhole working conditions, and analyze its frequency segment energy distribution and modulation depth. First, the frequency domain representation D(f) of the directional sensor output signal is obtained by the FFT method, and then the frequency domain signal is subjected to energy spectrum analysis, divided into multiple frequency segments, and the energy E(f) of each frequency segment is calculated. Specifically, for each frequency segment, , calculate the corresponding energy , and normalize it with the total energy to obtain the relative energy distribution of each frequency band. In addition, the modulation depth of the frequency domain signal needs to be analyzed, which is usually done by extracting the amplitude modulation characteristics of the frequency. For example, the modulation depth can be calculated by Hilbert transform to obtain the modulation amplitude of each frequency band, and the frequency band energy distribution and modulation depth of the downhole directional sensor under different working conditions can be obtained, and finally the frequency band energy distribution and frequency band modulation depth corresponding to the downhole directional output signal can be obtained.

[0049] Step S34: Dynamically simulate and calibrate multiple types of zero drift static calibration sensors based on the signal frequency domain phase difference between the downhole acceleration output and the downhole vibration output, and the frequency band energy distribution and frequency band modulation depth corresponding to the downhole directional output signal, so as to dynamically calibrate the high-temperature acceleration sensor and the high-temperature vibration sensor according to the signal frequency domain phase difference between the downhole acceleration output and the downhole vibration output, and dynamically calibrate the high-temperature directional sensor according to the frequency band energy distribution and frequency band modulation depth corresponding to the downhole directional output signal, to generate multiple types of dynamic calibration sensors.

[0050] In an embodiment of the present invention, dynamic calibration of multiple types of sensors is performed based on the previously obtained signal frequency domain phase difference and frequency band energy distribution. First, the high-temperature acceleration sensor and the high-temperature vibration sensor are dynamically calibrated according to the signal frequency domain phase difference between the downhole acceleration output and the downhole vibration output. The specific operation is to compare the previously obtained phase difference data with the known standard signal, and use the least squares method or other optimization algorithm to adjust the calibration coefficient of the sensor so that its output is consistent with the standard signal. For example, if the phase difference of the output signal of the acceleration sensor and the vibration sensor in a certain frequency band exceeds a predetermined threshold, the sensor gain or phase offset of the frequency band is calibrated until it reaches a state consistent with the standard signal. Similarly, for the downhole directional sensor, based on the obtained frequency band energy distribution and modulation depth, the frequency band is selectively adjusted, and the gain and modulation depth of each frequency band are calibrated to ensure that its output meets the standard value under downhole working conditions. This process can be iteratively optimized through an adaptive algorithm, and the calibration parameters of the sensor are repeatedly adjusted until a dynamic calibration result that meets the requirements is obtained, and finally a multi-type dynamic calibration sensor is generated.

[0051] Further, step S4 includes the following steps: Step S41: simulating the instantaneous strong impact interference constraint and the temperature sudden change interference constraint corresponding to the downhole through the high temperature environment chamber of the logging while drilling; In an embodiment of the present invention, a high-temperature environmental chamber for logging while drilling is constructed to simulate the high-temperature environment underground and its corresponding instantaneous strong impact interference and temperature sudden change interference. This environmental chamber is made of high-strength alloy material and has the ability to withstand high temperature and strong impact. The temperature simulation system controls the temperature inside the environmental chamber through a heating device to achieve high-temperature environment simulation from normal temperature to deep underground. By installing multiple high-precision sensors, the temperature changes in the cabin are monitored in real time to ensure that the temperature change can accurately simulate the underground working conditions. In order to simulate instantaneous strong impact interference, an impact test device is used to simulate the severe vibration in the cabin in a short period of time. The impact test device uses electromagnetic or mechanical methods to generate instantaneous strong impact force, which acts on the environmental chamber, and uses impact sensors to record the intensity, propagation speed and duration of the impact force in detail, and finally obtains instantaneous strong impact interference constraints and temperature sudden change interference constraints.

[0052] Step S42: performing impact stress propagation attenuation strength analysis on the instantaneous strong impact interference constraint corresponding to the downhole, and obtaining the instantaneous impact stress propagation attenuation strength corresponding to the downhole; In an embodiment of the present invention, an impact stress propagation attenuation strength analysis is performed based on the test data of the instantaneous strong impact interference obtained previously. First, the impact stress propagation process is modeled as a three-dimensional finite element model, and the spatial distribution and attenuation strength of the impact stress are obtained by simulating the propagation path and attenuation law of the stress in the downhole environment. In this analysis process, it is necessary to consider the complex geological structure of the downhole, the physical properties of the rock formations, and the rigidity and structural characteristics of the logging while drilling tool. By comparing the attenuation strength under different rock formations and temperature conditions, the instantaneous impact stress propagation attenuation law under different downhole environments is determined. By combining the mechanical properties data of the material, such as elastic modulus, density, shear modulus, etc., a special finite element analysis software is used for precise calculation. The maximum intensity and transmission path of the downhole instantaneous impact stress are obtained according to the propagation attenuation model, and finally the corresponding downhole instantaneous impact stress propagation attenuation strength is obtained.

[0053] Step S43: Calculate the temperature thermal expansion rate of the underground temperature sudden change interference constraint to analyze the dynamic evolution process of the temperature field in the simulation cabin from the steady state to the sudden change state, and obtain the temperature thermal expansion rate of the underground temperature; In an embodiment of the present invention, the temperature thermal expansion change rate is calculated by constraining the underground temperature sudden change interference. This step first sets the temperature change curve in the simulation experiment based on the environmental conditions of different depths and temperatures underground. The experiment uses a temperature control device to simulate the temperature sudden change. During the process of rapid change from the steady-state temperature to the sudden change state, the temperature change data in the environmental chamber is measured and recorded. The thermal expansion change rate during the underground temperature sudden change is obtained by accurately calculating the temperature change rate. In this process, the thermal expansion coefficient, temperature gradient and thermal conductivity characteristics of different materials need to be considered. In order to ensure accuracy, high-precision thermocouples and infrared sensors are used to monitor the temperature in real time, and mathematical models are used to analyze the dynamic evolution of temperature changes. The ultimate goal of this analysis is to quantify the temperature change rate in order to evaluate the interference effect of temperature sudden changes on the underground environment and its corresponding sensors. ,in is the thermal conductivity of the sensor material, is the material density, is the specific heat capacity of the material, is the second-order interference constraint derivative of the temperature sudden change in space, and finally the corresponding temperature thermal expansion change rate in the well is obtained.

[0054] Step S44: obtaining sensor output signals corresponding to multiple types of dynamic calibration sensors, and performing interference response evaluation and analysis on the sensor output signals corresponding to the multiple types of dynamic calibration sensors based on the corresponding instantaneous impact stress propagation attenuation strength and temperature thermal expansion change rate in the downhole using the output interference response evaluation calculation formula, to obtain the influence of the instantaneous strong impact attenuation strength and the temperature change rate on the interference response of the sensor output; In the embodiment of the present invention, multiple types of sensors are selected for dynamic calibration, including high-temperature acceleration sensors, high-temperature directional sensors, high-temperature vibration sensors, etc. These sensors are installed at different positions in the high-temperature environment chamber of the logging while drilling to collect various physical quantities in the downhole environment. For each sensor, a baseline calibration is first performed to ensure that it can accurately measure its corresponding physical quantity under normal environmental conditions. Subsequently, based on the previously simulated instantaneous impact interference and temperature sudden change interference, the output signals of the sensor under these interference conditions are obtained. These signals are recorded and digitally processed by the data acquisition system. In order to ensure the measurement accuracy under interference conditions, real-time signal compensation and filtering are also required. Wave processing is performed to remove noise signals and extract the interference response part, thereby obtaining the corresponding sensor output signal. At the same time, a suitable output interference response evaluation calculation formula is formed by combining the output interference response influence time range, instantaneous impact stress propagation attenuation intensity, sensor output sensitivity constant, temperature thermal expansion change rate, the influence factor of temperature thermal expansion on impact stress attenuation, sensor output signal, sensor output signal intensity attenuation factor and related parameters to quantify the influence of impact attenuation intensity and temperature change on sensor output, and finally the influence of instantaneous strong impact attenuation intensity and temperature change rate on the interference response of sensor output is obtained.

[0055] Step S45: Based on the influence of instantaneous strong impact attenuation strength and temperature change rate on the interference response of sensor output, sensor detection verification and optimization are performed on multiple types of dynamic calibration sensors to generate multiple types of calibration verification and optimization sensors.

[0056] In an embodiment of the present invention, the corresponding sensor is detected and verified and optimized based on the influence of the instantaneous strong impact attenuation intensity and the temperature change rate on the interference response of the sensor output obtained by the previous quantification. First, the interference response is evaluated by combining the obtained sensor output signal with the interference model of the instantaneous strong impact and the sudden temperature change. The sensitivity, anti-interference ability and response time of each sensor are considered in the evaluation process, and the output change of each sensor under different interferences is quantitatively analyzed. Through these analyses, the interference source affecting the accuracy and stability of the sensor is identified. Then, according to the interference response analysis results, the sensor is optimized. The optimization measures include adjusting the material properties of the sensor, designing the structure or improving its signal processing algorithm. The optimized sensor is re-experimentally verified to ensure that it has higher accuracy and robustness under the interference of instantaneous strong impact and sudden temperature change, and a multi-type sensor is generated after calibration and verification optimization, and finally a multi-type calibration verification optimization sensor is generated.

[0057] Furthermore, the output interference response evaluation calculation formula described in step S44 is specifically: ; In the formula, For the The influence degree of interference response corresponding to each sensor, To output the interference response impact time range, Evaluate the time variable for the disturbance response, For the Sensors in the time period The corresponding instantaneous impact stress propagation attenuation strength in the wellbore, is the sensor output sensitivity constant, For the Sensors in the time period The corresponding temperature thermal expansion rate in the well, is the influence factor of temperature thermal expansion on impact stress attenuation, For the Sensors in the time period The corresponding sensor output signal is is the sensor output signal strength attenuation factor, is the correction coefficient for the influence of disturbance response.

[0058] The present invention obtains an output interference response evaluation calculation formula by using a specific mathematical model and verifying it, which is used to evaluate and analyze the sensor output signal corresponding to multiple types of dynamic calibration sensors. The output interference response evaluation calculation formula comprehensively considers the influence of the instantaneous impact stress propagation attenuation intensity and the temperature thermal expansion change rate on the sensor output, which is very important because the underground environment usually has strong dynamic changes, such as impact and temperature changes. Traditional static calibration cannot cope with such rapid changes and complex environments. Using a dynamic model to evaluate the interference response can more truly reflect the actual situation. The formula combines the temperature thermal expansion with the impact stress attenuation through the influencing factor, revealing the coupling effect between temperature change and impact stress, which helps to more accurately analyze how the sensor works in a temperature and mechanical impact composite environment. The simultaneous action of temperature sudden change and impact force often aggravates the interference response. Therefore, it is necessary to consider the influence of both at the same time when optimizing the design of the sensor. By evaluating the attenuation factor corresponding to the sensor output signal strength, the formula can predict the change trend of the sensor output signal over time, and provide a basis for adjusting the signal gain or calibration, reducing the influence of external interference on the final measurement result. This formula not only takes into account the impact of instantaneous impact stress, but also incorporates a variety of possible temperature change rates and attenuation factors, so that the entire evaluation process can adapt to various dynamic environmental conditions. Through the form of integral formula, the interference response can be continuously evaluated over the entire time period, further improving the accuracy and applicability of the calculation formula. In addition, the correction factor in the formula provides a flexible parameter for adjusting the degree of response impact. This coefficient can be adjusted according to the actual application scenario or experimental data, so as to perform personalized interference response correction under different environmental conditions, making the formula closer to actual application needs. In summary, this formula fully takes into account the first The influence degree of interference response corresponding to each sensor , output disturbance response impact time range , disturbance response evaluation time variable , No. Sensors in the time period The corresponding instantaneous impact stress propagation attenuation strength in the well , sensor output sensitivity constant , No. Sensors in the time period The corresponding temperature thermal expansion rate in the well , the influence factor of temperature thermal expansion on impact stress attenuation , No. Sensors in the time period The corresponding sensor output signal , sensor output signal strength attenuation factor , correction factor of the influence of disturbance response , according to The influence degree of interference response corresponding to each sensor The correlation between the above parameters constitutes a functional relationship This formula can realize the interference response evaluation and analysis process of the sensor output signal corresponding to multiple types of dynamic calibration sensors. At the same time, the correction coefficient of the interference response influence degree is used The introduction of can be adjusted according to the error conditions that occur during the calculation process, thereby improving the accuracy and applicability of the output disturbance response evaluation calculation formula.

[0059] Furthermore, the present invention also provides a multi-type sensor calibration detection system, which is used to execute the multi-type sensor calibration detection method as described above, and the multi-type sensor calibration detection system includes: The zero-output static calibration module is used to integrate and install a variety of high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated in a high-temperature logging while drilling environmental chamber corresponding to high temperature, high pressure and strong vibration simulation functions, so as to generate multiple types of high-temperature sensors to be calibrated; the static conditions of normal temperature, normal pressure and no vibration corresponding to the high-temperature logging while drilling environmental chamber are designed, and the zero-output static calibration of multiple types of high-temperature sensors to be calibrated is performed based on the static conditions of normal temperature, normal pressure and no vibration, so as to obtain multiple types of zero-drift static calibration sensors; The downhole working condition synchronous acquisition module is used to simulate and design the temperature, pressure and vibration frequency constraint condition range corresponding to the wellhead to the bottom of the well through the high temperature environment chamber of the well logging while drilling, and determine different downhole environmental working condition range sub-conditions while drilling according to the temperature, pressure and vibration frequency constraint condition range corresponding to the wellhead to the bottom of the well; perform time stamp synchronous acquisition in response to multiple types of zero drift static calibration sensors according to different downhole environmental working condition range sub-conditions while drilling, so as to output the sensor output signal data corresponding to each sensor under different downhole working conditions; The downhole dynamic simulation calibration module is used to perform dynamic simulation calibration on multiple types of zero drift static calibration sensors based on the corresponding sensor output signal data of each sensor under different downhole working conditions, thereby generating multiple types of dynamic calibration sensors; The interference constraint detection and verification module is used to simulate the instantaneous strong impact interference constraints and temperature sudden change interference constraints corresponding to the underground through the high-temperature environmental chamber of the logging while drilling, and to perform sensor detection verification and optimization on multiple types of dynamic calibration sensors based on the instantaneous strong impact interference constraints and temperature sudden change interference constraints, thereby generating multiple types of calibration verification and optimization sensors.

[0060] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0061] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A multi-type sensor calibration detection method, characterized in that: The following steps are involved: Step S1: Integrate and install a variety of high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated in a high-temperature logging while drilling environment chamber corresponding to high temperature, high pressure and strong vibration simulation functions to generate multiple types of high-temperature sensors to be calibrated; static conditions of normal temperature, normal pressure and vibration-free corresponding to the design of the high-temperature logging while drilling environment chamber are performed, and zero-position output static calibration is performed on multiple types of high-temperature sensors to be calibrated based on the static conditions of normal temperature, normal pressure and vibration-free, so as to obtain multiple types of zero-position drift static calibration sensors; Step S2: Design the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead and the bottom of the well through the LWD high-temperature environment chamber simulation, and determine different LWD downhole environmental working condition range sub-conditions according to the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead and the bottom of the well; perform time stamp synchronization acquisition in response to multiple types of zero drift static calibration sensors according to different LWD downhole environmental working condition range sub-conditions, so as to output the sensor output signal data corresponding to each sensor under different downhole working conditions, including downhole acceleration, downhole orientation and downhole vibration sensor output signals; Step S3: performing dynamic simulation calibration on multiple types of zero drift static calibration sensors based on sensor output signal data corresponding to each sensor under different downhole working conditions, and generating multiple types of dynamic calibration sensors; Step S4: The instantaneous strong impact interference constraint and the temperature sudden change interference constraint corresponding to the downhole are simulated by the high-temperature environment chamber of the logging while drilling, and the sensor detection verification and optimization of multiple types of dynamic calibration sensors are performed based on the instantaneous strong impact interference constraint and the temperature sudden change interference constraint to generate multiple types of calibration verification optimization sensors.

2. The multi-type sensor calibration detection method according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: multiple high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated are integrated and installed in a high-temperature environment chamber for logging while drilling corresponding to high temperature, high pressure and strong vibration simulation functions, and special heat-insulating and pressure-bearing materials are used to ensure that the environment in the chamber is stable and evenly distributed, so as to generate multiple types of high-temperature sensors to be calibrated; Step S12: Designing a static condition with normal temperature and pressure and no vibration corresponding to the high temperature environment chamber of the logging while drilling; Step S13: performing static condition zero-position synchronous acquisition of multiple types of high-temperature sensors to be calibrated based on static conditions of normal temperature, normal pressure and no vibration, so as to obtain the zero-position output value corresponding to each sensor under static conditions; Step S14: obtaining the detection sensitivity and inherent zero drift of each sensor through multiple types of high-temperature sensors to be calibrated, and performing zero drift compensation correction on the zero output value of the corresponding sensor under static conditions based on the detection sensitivity and inherent zero drift of each sensor, so as to obtain the zero drift compensation error correction value of each sensor under static conditions; Step S15: performing zero output static calibration on multiple types of high temperature sensors to be calibrated based on the zero drift compensation error correction value corresponding to each sensor under static conditions to obtain multiple types of zero drift static calibration sensors.

3. The multi-type sensor calibration detection method according to claim 2, characterized in that: Step S14 includes the following steps: Step S141: obtaining the corresponding microstructure changes of each sensor at normal temperature and pressure through multiple types of high-temperature sensors to be calibrated, including the nonlinear changes of sensor resistance with temperature and the charge output changes of the piezoelectric element affected by pressure, and performing detection sensitivity fitting analysis on the corresponding multiple types of high-temperature sensors to be calibrated based on the corresponding microstructure changes of each sensor at normal temperature and pressure to obtain the detection sensitivity corresponding to each sensor; Step S142: obtaining the corresponding weak electromagnetic interference and airflow micro-disturbance interference in the high-temperature environment chamber of the logging while drilling, and performing sensor inherent drift analysis on multiple types of high-temperature sensors to be calibrated based on the weak electromagnetic interference and airflow micro-disturbance interference to obtain the inherent zero drift corresponding to each sensor; Step S143: performing time series statistics calculation on the zero-position output values ​​corresponding to each sensor under static conditions to obtain the zero-position output statistics corresponding to each sensor, including the zero-position output period mean and the zero-position output period standard deviation; Step S144: Based on the detection sensitivity, inherent zero drift and zero output statistics of each sensor, the zero drift compensation correction calculation formula is used to perform zero drift compensation correction on the zero output value of the corresponding sensor under static conditions to obtain the zero drift compensation error correction value corresponding to each sensor under static conditions.

4. The multi-type sensor calibration detection method according to claim 3, characterized in that: The zero drift compensation correction calculation formula described in step S144 is specifically: ； In the formula, For the The zero drift compensation error correction value corresponding to each sensor under static conditions is: , where 1 represents a high temperature acceleration sensor, 2 represents a high temperature directional sensor, and 3 represents a high temperature vibration sensor. is the sensor zero position output time interval, is the zero position output time variable parameter, For the The detection sensitivity of each sensor is For the Sensors at time The inherent zero drift at For the The sensitivity weight coefficient corresponding to each sensor is: For the Sensors at time The ambient temperature, For the Sensors at time The zero output value at For the The average value of the zero output period corresponding to each sensor, For the The standard deviation of the zero output period corresponding to each sensor is: For the The temperature compensation coefficient corresponding to each sensor is: It is the correction coefficient of the zero drift compensation error correction value.

5. The multi-type sensor calibration detection method according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: Design the temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead to the bottom of the well by simulating the high temperature environment chamber of the logging while drilling; Step S22: determining different downhole environmental working condition range sub-conditions while drilling according to the corresponding temperature, pressure and vibration frequency constraint ranges from the wellhead to the bottom of the well; Step S23: performing detection clock synchronization response control in response to multiple types of zero drift static calibration sensors according to different downhole environmental working condition range sub-conditions while drilling, so as to generate detection response synchronization clock control instructions corresponding to each sensor; Step S24: The detection response synchronization clock control instructions corresponding to each sensor are applied to the corresponding multi-type zero drift static calibration sensors for timestamp synchronization acquisition to output the sensor output signal data corresponding to each sensor under different downhole working conditions, including downhole acceleration, downhole orientation and downhole vibration sensor output signals.

6. The multi-type sensor calibration detection method according to claim 5, characterized in that: The temperature, pressure and vibration frequency constraint ranges corresponding to the wellhead to the well bottom described in step S21 are specifically a temperature range of 50°C-200°C, a pressure range of 0-50MPa and a vibration frequency range of 10Hz-100Hz.

7. The multi-type sensor calibration detection method according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: performing signal frequency domain conversion on sensor output signal data corresponding to each sensor under different downhole working conditions, so as to generate frequency domain representation of output signals corresponding to each sensor under different downhole working conditions; Step S32: performing a signal phase difference analysis on the corresponding frequency domain representation of the downhole vibration output signal based on the frequency domain representation of the downhole acceleration output signal under different downhole working conditions to obtain the signal frequency domain phase difference between the downhole acceleration output and the downhole vibration output; Step S33: performing directional frequency segment energy and modulation depth analysis on the frequency domain representation of the downhole directional output signal corresponding to different downhole working conditions to obtain the frequency segment energy distribution and frequency segment modulation depth corresponding to the downhole directional output signal; Step S34: Dynamically simulate and calibrate multiple types of zero drift static calibration sensors based on the signal frequency domain phase difference between the downhole acceleration output and the downhole vibration output, and the frequency band energy distribution and frequency band modulation depth corresponding to the downhole directional output signal, so as to dynamically calibrate the high-temperature acceleration sensor and the high-temperature vibration sensor according to the signal frequency domain phase difference between the downhole acceleration output and the downhole vibration output, and dynamically calibrate the high-temperature directional sensor according to the frequency band energy distribution and frequency band modulation depth corresponding to the downhole directional output signal, to generate multiple types of dynamic calibration sensors.

8. The multi-type sensor calibration detection method according to claim 7, characterized in that: Step S4 includes the following steps: Step S41: simulating the instantaneous strong impact interference constraint and the temperature sudden change interference constraint corresponding to the downhole through the high temperature environment chamber of the logging while drilling; Step S42: performing impact stress propagation attenuation strength analysis on the instantaneous strong impact interference constraint corresponding to the downhole, and obtaining the instantaneous impact stress propagation attenuation strength corresponding to the downhole; Step S43: Calculate the temperature thermal expansion rate of the underground temperature sudden change interference constraint to analyze the dynamic evolution process of the temperature field in the simulation cabin from the steady state to the sudden change state, and obtain the temperature thermal expansion rate of the underground temperature; Step S44: obtaining sensor output signals corresponding to multiple types of dynamic calibration sensors, and performing interference response evaluation and analysis on the sensor output signals corresponding to the multiple types of dynamic calibration sensors based on the corresponding instantaneous impact stress propagation attenuation strength and temperature thermal expansion change rate in the downhole using the output interference response evaluation calculation formula, to obtain the influence of the instantaneous strong impact attenuation strength and the temperature change rate on the interference response of the sensor output; Step S45: Based on the influence of instantaneous strong impact attenuation strength and temperature change rate on the interference response of sensor output, sensor detection verification and optimization are performed on multiple types of dynamic calibration sensors to generate multiple types of calibration verification and optimization sensors.

9. The multi-type sensor calibration detection method according to claim 8, characterized in that: The output interference response evaluation calculation formula described in step S44 is specifically: ； In the formula, For the The influence degree of interference response corresponding to each sensor, To output the interference response impact time range, Evaluate the time variable for the disturbance response, For the Sensors in the time period The corresponding instantaneous impact stress propagation attenuation strength in the wellbore, is the sensor output sensitivity constant, For the Sensors in the time period The corresponding temperature thermal expansion rate in the well, is the influence factor of temperature thermal expansion on impact stress attenuation, For the Sensors in the time period The corresponding sensor output signal is is the sensor output signal strength attenuation factor, is the correction coefficient for the influence of disturbance response.

10. A multi-type sensor calibration detection system, characterized in that: Used to perform the multi-type sensor calibration detection method as claimed in claim 1, the multi-type sensor calibration detection system comprises: The zero-output static calibration module is used to integrate and install a variety of high-temperature acceleration sensors, high-temperature directional sensors and high-temperature vibration sensors to be calibrated in a high-temperature logging while drilling environmental chamber corresponding to high temperature, high pressure and strong vibration simulation functions, so as to generate multiple types of high-temperature sensors to be calibrated; the static conditions of normal temperature, normal pressure and no vibration corresponding to the high-temperature logging while drilling environmental chamber are designed, and the zero-output static calibration of multiple types of high-temperature sensors to be calibrated is performed based on the static conditions of normal temperature, normal pressure and no vibration, so as to obtain multiple types of zero-drift static calibration sensors; The downhole working condition synchronous acquisition module is used to simulate and design the temperature, pressure and vibration frequency constraint condition range corresponding to the wellhead to the bottom of the well through the high temperature environment chamber of the well logging while drilling, and determine different downhole environmental working condition range sub-conditions while drilling according to the temperature, pressure and vibration frequency constraint condition range corresponding to the wellhead to the bottom of the well; perform time stamp synchronous acquisition in response to multiple types of zero drift static calibration sensors according to different downhole environmental working condition range sub-conditions while drilling, so as to output the sensor output signal data corresponding to each sensor under different downhole working conditions; The downhole dynamic simulation calibration module is used to perform dynamic simulation calibration on multiple types of zero drift static calibration sensors based on the corresponding sensor output signal data of each sensor under different downhole working conditions, thereby generating multiple types of dynamic calibration sensors; The interference constraint detection and verification module is used to simulate the instantaneous strong impact interference constraints and temperature sudden change interference constraints corresponding to the underground through the high-temperature environmental chamber of the logging while drilling, and to perform sensor detection verification and optimization on multiple types of dynamic calibration sensors based on the instantaneous strong impact interference constraints and temperature sudden change interference constraints, thereby generating multiple types of calibration verification and optimization sensors.

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