A temperature control method and control system for a well logging instrument

Abstract

This invention discloses a temperature control method and control system for a logging instrument, relating to the field of drilling exploration. It solves the problem of poor control effect in existing temperature control methods. The method includes the following steps: Step S1: Periodically acquiring drilling temperature and drilling angle data from the target logging device, and analyzing and obtaining temperature trend analysis images and angle trend analysis images to obtain preliminary analysis data for the device; Step S2: Based on the preliminary analysis data, performing temperature deviation analysis and angle deviation analysis on historical logging records to obtain temperature change deviation and angle change deviation; using the temperature change deviation and angle change deviation to screen historical logging records to obtain temperature control sample record matching data; Step S3: Performing real-time temperature control on the target logging device based on the temperature control sample record matching data. This invention provides accurate and timely temperature control.

Description

Technical Field

[0001] This invention belongs to the field of drilling exploration and relates to temperature control technology, specifically a temperature control method and control system for a logging instrument. Background Technology

[0002] Existing temperature control methods for drilling instruments have the following drawbacks:

[0003] 1. Existing temperature control methods can only monitor the temperature of the target logging device in real time and compare the temperature monitoring results with thresholds to control the temperature. They cannot screen multiple historical logging records that match the operating conditions of the target logging device to pre-control the temperature of the target logging device, making it difficult to achieve linear temperature control of the target logging device, thus resulting in a lag in the temperature control process.

[0004] 2. Existing temperature control methods are unable to visualize the operating conditions of the target logging device based on the temperature change trend and drilling angle trend during the logging data acquisition cycle. They cannot match temperature control sample records to the target logging device by analyzing the visualized images, resulting in a lack of accuracy in the temperature control of the target logging device.

[0005] Therefore, we propose a temperature control method and control system for well logging instruments. Summary of the Invention

[0006] To address the shortcomings of existing technologies, the purpose of this invention is to provide a temperature control method and control system for well logging instruments.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: a temperature control method for a well logging instrument, comprising the following steps:

[0008] Step S1: Periodically collect drilling temperature and drilling angle data from the target logging device, and analyze the temperature trend analysis image and angle trend analysis image to obtain preliminary analysis data of the device.

[0009] Step S2: Obtain historical logging records, perform temperature deviation analysis on the historical logging records using temperature trend analysis images to obtain temperature change deviation, perform angle deviation analysis on the historical logging records using angle trend analysis images to obtain angle change deviation, and screen the historical logging records using temperature change deviation and angle change deviation to obtain temperature control sample record matching data.

[0010] Step S3: Perform real-time temperature control on the target logging device based on the temperature control sample record matching data.

[0011] Furthermore, step S1 includes the following steps:

[0012] Step S11: Acquire the logging device that needs temperature control at the current moment, and randomly select one target logging device from the acquired multiple logging devices.

[0013] Step S12: During the process of acquiring logging data from the target logging device, the time point when the target logging device is fully extended into the ground is set as the cycle start time point, the time point corresponding to the current moment is set as the cycle end time point, and the time period between the cycle start time point and the cycle end time point is set as the logging data acquisition cycle.

[0014] Step S13: Perform device temperature analysis on the target logging device during the logging data acquisition cycle, and obtain a temperature trend analysis image based on the analysis results;

[0015] Step S14: Perform drilling angle analysis on the target logging device during the logging data acquisition cycle, and obtain the angle trend analysis image based on the analysis results;

[0016] Step S15: Define the temperature trend analysis image and the angle trend analysis image as the preliminary analysis data of the device.

[0017] Furthermore, step S13 includes the following steps:

[0018] The maximum drilling depth corresponding to the target logging device within the logging data acquisition cycle is obtained, the preset ground depth is obtained, the difference between the maximum drilling depth and the preset ground depth is calculated, and the absolute value of the obtained difference is taken to obtain the equipment drilling depth span.

[0019] The drilling depth span of the equipment is divided into several depth sub-intervals with equal spans, resulting in depth sub-intervals L1 to La.

[0020] The ambient temperature of the logging environment corresponding to the depth sub-interval is obtained to obtain the monitoring temperature from L1 interval to La interval;

[0021] In the existing Cartesian coordinate system, the coordinates of the points where the horizontal axis represents the depth sub-interval and the vertical axis represents the temperature monitoring interval are connected to obtain the target temperature trend line. The coordinate graph of the target temperature trend line is then set as the temperature trend analysis image.

[0022] Furthermore, step S14 includes the following steps:

[0023] Step S141: Obtain the logging data acquisition cycle and acquire the real-time drilling angle of the target logging device within the logging data acquisition cycle;

[0024] Step S142: During the logging data acquisition cycle, the time points when the real-time drilling angle changes are obtained, from the time point when the J1 angle changes to the time point when the Jb angle changes.

[0025] Step S143: Numerical acquisition of the drilling depth corresponding to the angle change time point of the target logging device, obtaining the drilling depth at multiple time points, calculating the difference between the drilling depths at every two consecutive time points, and obtaining the depth span from time period J1 to time period Jb-1.

[0026] Step S144: Calculate the drilling angle from time period J1 to time period Jb-1 by averaging the drilling depth of the target logging device at every two consecutive time points;

[0027] Step S145: In the existing Cartesian coordinate system, connect the coordinate points with the depth span of the time period as the horizontal axis and the drilling angle of the time period as the vertical axis in sequence to obtain the target angle trend line. Set the coordinate graph of the target angle trend line as the angle trend analysis image.

[0028] Step S141 includes the following steps:

[0029] The center point of the top of the target logging device is obtained to obtain the first device feature point. A plane perpendicular to the body of the target logging device is drawn through the first device feature point to obtain the first device feature plane. A plane parallel to the first device feature plane is drawn through the center point of the bottom of the target logging device to obtain the second device feature plane. The projection point of the first device feature point in the second device feature plane is obtained to obtain the second device feature point.

[0030] Draw a straight line through the second device feature point to obtain the gravity reference line. Draw a line connecting the first device feature point and the second device feature point to obtain the real-time drilling angle line. Obtain the angle between the gravity reference line and the real-time drilling angle line at the second device feature point to obtain the real-time drilling angle.

[0031] Furthermore, step S2 includes the following steps:

[0032] Step S21: Obtain preliminary analysis data from the device, and obtain temperature trend analysis images and angle trend analysis images based on the preliminary analysis data.

[0033] Step S22: Acquire the logging device that has completed logging operations within the logging area to obtain multiple historical logging devices. Acquire the historical logging work record corresponding to each historical logging device and randomly select a sample logging record from the multiple historical logging work records.

[0034] Step S23: Perform temperature line deviation analysis on the sample logging records based on the temperature trend analysis image, and obtain the temperature change deviation corresponding to the sample logging records based on the analysis results;

[0035] Step S24: Perform angle broken line deviation analysis on the sample logging records based on the angle trend analysis image, and obtain the angle change deviation corresponding to the sample logging records based on the analysis results;

[0036] Step S25: Obtain the temperature change deviation corresponding to each historical logging record, and obtain the angle change deviation corresponding to each historical logging record;

[0037] Step S26: Obtain the preset range of temperature deviation and the preset range of angle deviation respectively. If the temperature deviation is within the preset range of temperature deviation and the angle deviation is within the preset range of angle deviation, then set the corresponding historical logging record as a temperature-controlled sample record. If the temperature deviation is not within the preset range of temperature deviation or the angle deviation is not within the preset range of angle deviation, then set the corresponding historical logging record as a non-temperature-controlled sample record to obtain temperature-controlled sample record matching data.

[0038] Furthermore, step S23 includes the following steps:

[0039] Step S231: Extract historical monitoring periods from the sample logging records that are equal to the time range of the logging data acquisition cycle to obtain the sample historical cycle;

[0040] Step S232: Plot the temperature trend line corresponding to the historical period of the sample on the temperature trend analysis image to obtain the sample temperature trend line;

[0041] Step S233: In the temperature trend analysis image, coordinate points with equal horizontal coordinates of the sample temperature trend line and the target temperature trend line are set as temperature point sets, resulting in multiple temperature point sets. The Euclidean distance between the two coordinate points contained in each temperature point set is obtained, resulting in multiple set point distance values. The average value of the obtained multiple set point distance values ​​is calculated to obtain the temperature line value deviation.

[0042] Step S234: Calculate the average value of the vertical axis corresponding to the target temperature trend line to obtain the target temperature average value, and calculate the ratio of the temperature trend line value deviation to the target temperature average value to obtain the temperature deviation degree of the trend line.

[0043] Step S235: Perform slope analysis on the sample temperature trend line and the target temperature trend line, and obtain the slope deviation of the temperature trend line based on the analysis results.

[0044] Furthermore, step S235 includes the following steps:

[0045] The sample temperature trend line is split into sample sub-lines from Y1 to Yd, and the target temperature trend line is split into target sub-lines from M1 to Md.

[0046] Obtain the slope values ​​of the M1 broken line to the slope values ​​of the Md broken line and the slope values ​​of the Y1 broken line to the slope values ​​of the Yd broken line;

[0047] The average value of the slope values ​​of the Y1-Yd line is calculated to obtain the average value of the sample slope. The average value of the slope values ​​of the M1-Md line is calculated to obtain the average value of the target slope.

[0048] The temperature slope deviation is calculated by taking the target slope mean, sample slope mean, Y1 slope value, and Yd slope value.

[0049] The formula for calculating the slope deviation of the temperature polygon is as follows:

[0050]

[0051] Where Wzx is the slope deviation of the temperature polyline, Yzi is the slope value of the Yi polyline, Yzp is the mean slope of the sample, Mzi is the slope value of the Mi polyline, and Mzp is the mean slope of the target.

[0052] Furthermore, step S24 includes the following steps:

[0053] The historical monitoring period of the sample is obtained by extracting historical monitoring time periods from the sample logging records that are equal to the time range of the logging data acquisition cycle.

[0054] The angle trend lines corresponding to the historical periods of the sample are plotted on the angle trend analysis graph to obtain the sample angle trend lines;

[0055] In the angle trend analysis image, obtain the target angle coordinates of J1 and Jc respectively. Draw a straight line perpendicular to the x-axis through the target angle coordinate of J1 to obtain the first angle reference line. Draw a straight line perpendicular to the x-axis through the target angle coordinate of Jc to obtain the second angle reference line.

[0056] The area of ​​the multiple closed regions enclosed by the first angle reference line, the second angle reference line, the sample angle trend line and the target angle trend line is obtained. The area values ​​of the multiple closed regions are obtained, and the sum of the obtained areas is calculated. The ratio of the sum of the obtained areas to c-1 is calculated to obtain the average area value of the deviation region.

[0057] In the angle trend analysis image, the inflection point in the target angle trend broken line is obtained. A straight line is drawn through the inflection point and intersecting with the x-axis to obtain multiple characteristic angle lines. The area value of the closed area enclosed by any two characteristic angle lines, the x-axis, and the target angle trend broken line is obtained to obtain multiple characteristic area area values. The average value of the obtained characteristic area area values ​​is calculated to obtain the average area value of the characteristic area.

[0058] The ratio of the average area of ​​the deviation region to the average area of ​​the characteristic region is calculated to obtain the angular change deviation corresponding to the sample well logging record.

[0059] Furthermore, step S3 also includes the following steps:

[0060] Obtain temperature control sample record matching data, and obtain multiple temperature control sample records based on the temperature control sample record matching data;

[0061] During the temperature control of the target logging device, a temperature pre-control cycle is set. During the temperature pre-control cycle, the opening degree of the nitrogen valve corresponding to the target logging device is controlled to the preset liquid nitrogen valve opening degree.

[0062] The preset liquid nitrogen valve opening degree is obtained, as follows:

[0063] The target drilling depth of the target logging device within the temperature pre-control cycle is obtained, the duration of the temperature pre-control cycle is obtained, the expected drilling time is obtained, the ratio of the target drilling depth to the expected drilling time is calculated, the preset drilling speed is obtained, and a preset drilling speed range is set as the intermediate value of the range.

[0064] The drilling depth corresponding to the target logging device at the current moment is obtained to obtain the real-time drilling depth. In the temperature control sample record, the time point when the historical logging device is at the real-time drilling depth in the temperature control sample record is set as the intercept feature time point. The intercept feature time point is used as the cycle start time point to intercept a historical cycle with the same duration as the temperature pre-control cycle, and multiple historical matching cycles are obtained.

[0065] Obtain the periodic drilling rate of each historical logging device in the corresponding historical matching period. If the periodic drilling rate is within the preset drilling rate range, set the corresponding historical matching period to the temperature control consistent historical period.

[0066] The opening and closing degree of the liquid nitrogen valve corresponding to each historical temperature control consistent historical cycle of the logging device is obtained, and the average value of the obtained liquid nitrogen valve opening and closing degree is calculated to obtain the preset liquid nitrogen valve opening and closing degree.

[0067] A temperature control system for a well logging instrument, comprising:

[0068] Data acquisition module: Periodically collects drilling temperature and drilling angle data of the target logging device, and analyzes and obtains temperature trend analysis images and angle trend analysis images to obtain preliminary analysis data of the device;

[0069] Sample matching module: acquires historical logging records, performs temperature deviation analysis on historical logging records using temperature trend analysis images to obtain temperature change deviation, performs angle deviation analysis on historical logging records using angle trend analysis images to obtain angle change deviation, and filters historical logging records using temperature change deviation and angle change deviation to obtain temperature control sample record matching data.

[0070] Temperature control module: Performs real-time temperature control on the target logging device based on temperature control sample record matching data.

[0071] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0072] 1. This invention pre-controls the temperature of the target logging device by screening multiple historical logging records that match the operating conditions of the target logging device, thereby achieving linear temperature control of the target logging device and improving the timeliness of the temperature control process.

[0073] 2. This invention visualizes the operating conditions of the target logging device based on the temperature change trend and drilling angle trend during the logging data acquisition cycle, and matches temperature control sample records to the target logging device by analyzing the visualized images, thereby improving the accuracy of temperature control of the target logging device. Attached Figure Description

[0074] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0075] Figure 1 This is a diagram illustrating the implementation steps of the present invention;

[0076] Figure 2 A schematic diagram of the real-time drilling angle of this invention;

[0077] Figure 3 The angular trend analysis image of this invention;

[0078] Figure 4 This is a schematic diagram of liquid nitrogen cooling according to the present invention. Detailed Implementation

[0079] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0080] Example 1

[0081] Please see Figure 1 This invention provides a technical solution: a temperature control method for a well logging instrument, comprising the following steps:

[0082] Step S1: Periodically collect drilling temperature and drilling angle data from the target logging device, and analyze the temperature trend analysis image and angle trend analysis image to obtain preliminary analysis data of the device.

[0083] Step S1 includes the following steps:

[0084] Step S11: Acquire the logging device that needs temperature control at the current moment, and randomly select one target logging device from the acquired multiple logging devices.

[0085] Step S12: During the process of acquiring logging data from the target logging device, the time point when the target logging device is fully extended into the ground is set as the cycle start time point, the time point corresponding to the current moment is set as the cycle end time point, and the time period between the cycle start time point and the cycle end time point is set as the logging data acquisition cycle.

[0086] Step S13: Perform device temperature analysis on the target logging device during the logging data acquisition cycle, and obtain a temperature trend analysis image based on the analysis results;

[0087] Step S13 includes the following steps:

[0088] The maximum drilling depth corresponding to the target logging device within the logging data acquisition cycle is obtained, the preset ground depth is obtained, the difference between the maximum drilling depth and the preset ground depth is calculated, and the absolute value of the obtained difference is taken to obtain the equipment drilling depth span.

[0089] The drilling depth span of the equipment is divided into several depth sub-intervals with equal spans, resulting in depth sub-intervals L1 to La.

[0090] The ambient temperature of the logging environment corresponding to the depth sub-interval is obtained to obtain the monitoring temperature from L1 interval to La interval;

[0091] In the existing Cartesian coordinate system, the coordinates of the points where the horizontal axis is the depth sub-interval and the vertical axis is the temperature monitoring interval are connected to obtain the target temperature trend line. The coordinate graph of the target temperature trend line is set as the temperature trend analysis image.

[0092] Step S14: Perform drilling angle analysis on the target logging device during the logging data acquisition cycle, and obtain the angle trend analysis image based on the analysis results;

[0093] Step S14 includes the following steps:

[0094] Step S141: Obtain the logging data acquisition cycle and acquire the real-time drilling angle of the target logging device within the logging data acquisition cycle;

[0095] Step S141 includes the following steps:

[0096] The center point of the top of the target logging device is obtained to obtain the first device feature point. A plane perpendicular to the body of the target logging device is drawn through the first device feature point to obtain the first device feature plane. A plane parallel to the first device feature plane is drawn through the center point of the bottom of the target logging device to obtain the second device feature plane. The projection point of the first device feature point in the second device feature plane is obtained to obtain the second device feature point.

[0097] Draw a straight line through the second device feature point to obtain the gravity reference line. Draw a line connecting the first device feature point and the second device feature point to obtain the real-time drilling angle line. Obtain the angle between the gravity reference line and the real-time drilling angle line at the second device feature point to obtain the real-time drilling angle.

[0098] Step S142: During the logging data acquisition cycle, the time points when the real-time drilling angle changes are obtained, from the time point when the J1 angle changes to the time point when the Jb angle changes.

[0099] Step S143: Numerical acquisition of the drilling depth corresponding to the angle change time point of the target logging device, obtaining the drilling depth at multiple time points, calculating the difference between the drilling depths at every two consecutive time points, and obtaining the depth span from time period J1 to time period Jb-1.

[0100] Step S144: Calculate the drilling angle from time period J1 to time period Jb-1 by averaging the drilling depth of the target logging device at every two consecutive time points;

[0101] Step S145: In the existing Cartesian coordinate system, connect the coordinate points with the depth span of the time period as the horizontal axis and the drilling angle of the time period as the vertical axis in sequence to obtain the target angle trend line. Set the coordinate graph of the target angle trend line as the angle trend analysis image.

[0102] Step S15: Define the temperature trend analysis image and the angle trend analysis image as the preliminary analysis data of the device;

[0103] Step S2: Obtain historical logging records, perform temperature deviation analysis on the historical logging records using temperature trend analysis images to obtain temperature change deviation, perform angle deviation analysis on the historical logging records using angle trend analysis images to obtain angle change deviation, and screen the historical logging records using temperature change deviation and angle change deviation to obtain temperature control sample record matching data.

[0104] Step S2 includes the following steps:

[0105] Step S21: Obtain preliminary analysis data from the device, and obtain temperature trend analysis images and angle trend analysis images based on the preliminary analysis data.

[0106] Step S22: Acquire the logging device that has completed logging operations within the logging area to obtain multiple historical logging devices. Acquire the historical logging work record corresponding to each historical logging device and randomly select a sample logging record from the multiple historical logging work records.

[0107] Step S23: Perform temperature line deviation analysis on the sample logging records based on the temperature trend analysis image, and obtain the temperature change deviation corresponding to the sample logging records based on the analysis results;

[0108] Step S23 includes the following steps:

[0109] Step S231: Extract historical monitoring periods from the sample logging records that are equal to the time range of the logging data acquisition cycle to obtain the sample historical cycle;

[0110] Step S232: Plot the temperature trend line corresponding to the historical period of the sample on the temperature trend analysis image to obtain the sample temperature trend line;

[0111] Step S233: In the temperature trend analysis image, coordinate points with equal horizontal coordinates of the sample temperature trend line and the target temperature trend line are set as temperature point sets, resulting in multiple temperature point sets. The Euclidean distance between the two coordinate points contained in each temperature point set is obtained, resulting in multiple set point distance values. The average value of the obtained multiple set point distance values ​​is calculated to obtain the temperature line value deviation.

[0112] Step S234: Calculate the average value of the vertical axis corresponding to the target temperature trend line to obtain the target temperature average value, and calculate the ratio of the temperature trend line value deviation to the target temperature average value to obtain the temperature deviation degree of the trend line.

[0113] Step S235: Perform slope analysis on the sample temperature trend line and the target temperature trend line, and obtain the slope deviation of the temperature trend line based on the analysis results;

[0114] Step S235 includes the following steps:

[0115] The sample temperature trend line is split into sample sub-lines from Y1 to Yd, and the target temperature trend line is split into target sub-lines from M1 to Md.

[0116] Obtain the slope values ​​of the M1 broken line to the slope values ​​of the Md broken line and the slope values ​​of the Y1 broken line to the slope values ​​of the Yd broken line;

[0117] The average value of the slope values ​​of the Y1-Yd line is calculated to obtain the average value of the sample slope. The average value of the slope values ​​of the M1-Md line is calculated to obtain the average value of the target slope.

[0118] The temperature slope deviation is calculated by taking the target slope mean, sample slope mean, Y1 slope value, and Yd slope value.

[0119] The formula for calculating the slope deviation of the temperature polygon is as follows:

[0120]

[0121] Where Wzx is the slope deviation of the temperature polyline, Yzi is the slope value of the Yi polyline, Yzp is the mean slope of the sample, Mzi is the slope value of the Mi polyline, and Mzp is the mean slope of the target.

[0122] Step S236: Calculate the temperature change deviation corresponding to the sample well logging record by combining the temperature slope deviation and the temperature deviation of the broken line.

[0123] The temperature variation deviation corresponding to the sample well logging records is calculated using the following formula:

[0124] Wpc=(1+Wzx)×Zzp;

[0125] Where Wpc is the temperature change deviation corresponding to the sample logging record, Wzx is the temperature slope deviation, and Zzp is the temperature deviation.

[0126] Step S24: Perform angle broken line deviation analysis on the sample logging records based on the angle trend analysis image, and obtain the angle change deviation corresponding to the sample logging records based on the analysis results;

[0127] Step S24 includes the following steps:

[0128] The historical monitoring period of the sample is obtained by extracting historical monitoring time periods from the sample logging records that are equal to the time range of the logging data acquisition cycle.

[0129] The angle trend lines corresponding to the historical periods of the sample are plotted on the angle trend analysis graph to obtain the sample angle trend lines;

[0130] In the angle trend analysis image, obtain the target angle coordinates of J1 and Jc respectively. Draw a straight line perpendicular to the x-axis through the target angle coordinate of J1 to obtain the first angle reference line. Draw a straight line perpendicular to the x-axis through the target angle coordinate of Jc to obtain the second angle reference line.

[0131] The area of ​​the multiple closed regions enclosed by the first angle reference line, the second angle reference line, the sample angle trend line and the target angle trend line is obtained. The area values ​​of the multiple closed regions are obtained, and the sum of the obtained areas is calculated. The ratio of the sum of the obtained areas to c-1 is calculated to obtain the average area value of the deviation region.

[0132] In the angle trend analysis image, the inflection point in the target angle trend broken line is obtained. A straight line is drawn through the inflection point and intersecting with the x-axis to obtain multiple characteristic angle lines. The area value of the closed area enclosed by any two characteristic angle lines, the x-axis, and the target angle trend broken line is obtained to obtain multiple characteristic area area values. The average value of the obtained characteristic area area values ​​is calculated to obtain the average area value of the characteristic area.

[0133] The ratio of the average area of ​​the deviation region to the average area of ​​the characteristic region is calculated to obtain the angular change deviation corresponding to the sample well logging record.

[0134] Step S25: Obtain the temperature change deviation corresponding to each historical logging record, and obtain the angle change deviation corresponding to each historical logging record;

[0135] Step S26: Obtain the preset range of temperature deviation and the preset range of angle deviation respectively. If the temperature deviation is within the preset range of temperature deviation and the angle deviation is within the preset range of angle deviation, then set the corresponding historical logging record as a temperature-controlled sample record. If the temperature deviation is not within the preset range of temperature deviation or the angle deviation is not within the preset range of angle deviation, then set the corresponding historical logging record as a non-temperature-controlled sample record to obtain temperature-controlled sample record matching data.

[0136] It should be noted here that:

[0137] The above steps visualize the working conditions of the target logging device based on the temperature change trend and drilling angle trend during the logging data acquisition cycle, and match temperature control sample records for the target logging device by analyzing the visualized images.

[0138] 1. The above steps integrate the temperature change trend and drilling angle dynamic data of the target logging device during the data acquisition cycle, and match the temperature control sample records based on visual image analysis. Its core value lies in constructing a correlation mapping mechanism between operating condition characteristics and thermal management strategies. The visualization transforms the abstract temperature fluctuation law and drilling engineering parameters into intuitive spatiotemporal distribution characteristics, and then extracts the temperature control mode that is highly consistent with the current operating conditions from historical samples. The above method not only improves the pertinence of temperature control strategies, but also achieves a smooth transition of temperature changes through linear adjustment algorithms, avoiding the sudden change in equipment thermal stress that may be caused by traditional step temperature control. Finally, this method combines operating condition characteristics, visual analysis and empirical data, which not only enhances the engineering adaptability of temperature control, but also ensures the operational stability and data acquisition quality of the logging device under complex geological conditions through dynamic matching mechanisms.

[0139] 2. The steps described above achieve precise adaptation to complex working conditions by correlating and matching the angle characteristics in historical data with temperature control strategies. The drilling angle directly affects the wellbore geometry and drilling fluid flow path. Large-angle well sections may accumulate more heat due to the extended residence time of the drilling fluid, while small-angle well sections may have higher heat dissipation efficiency due to the rapid flow of fluid. By integrating the dynamic change patterns of drilling angles in historical logging data, a correlation model between angle characteristics and temperature-sensitive ranges can be constructed, enabling the temperature control system to identify the thermal management needs under different angle conditions in advance. The above-mentioned matching mechanism based on historical experience not only improves the targeting of temperature control, but also avoids heat accumulation or sudden changes by dynamically adjusting the heat dissipation strategy, ensuring the stable operation of logging instruments under complex geological conditions. Finally, the analysis of drilling angle trends combined with historical data realizes the transformation from passive response to proactive prevention, providing reliable protection for logging operations under extreme conditions such as high temperature and high pressure.

[0140] Step S3: Perform real-time temperature control on the target logging device based on the matching data recorded from the temperature control sample.

[0141] Step S3 further includes the following steps:

[0142] Obtain temperature control sample record matching data, and obtain multiple temperature control sample records based on the temperature control sample record matching data;

[0143] During the temperature control of the target logging device, a temperature pre-control cycle is set. During the temperature pre-control cycle, the opening degree of the nitrogen valve corresponding to the target logging device is controlled to the preset liquid nitrogen valve opening degree.

[0144] The preset liquid nitrogen valve opening degree is obtained, as follows:

[0145] The target drilling depth of the target logging device within the temperature pre-control cycle is obtained, the duration of the temperature pre-control cycle is obtained, the expected drilling time is obtained, the ratio of the target drilling depth to the expected drilling time is calculated, the preset drilling speed is obtained, and a preset drilling speed range is set as the intermediate value of the range.

[0146] The drilling depth corresponding to the target logging device at the current moment is obtained to obtain the real-time drilling depth. In the temperature control sample record, the time point when the historical logging device is at the real-time drilling depth in the temperature control sample record is set as the intercept feature time point. The intercept feature time point is used as the cycle start time point to intercept a historical cycle with the same duration as the temperature pre-control cycle, and multiple historical matching cycles are obtained.

[0147] Obtain the periodic drilling rate of each historical logging device in the corresponding historical matching period. If the periodic drilling rate is within the preset drilling rate range, set the corresponding historical matching period to the temperature control consistent historical period.

[0148] The opening and closing degree of the liquid nitrogen valve corresponding to each historical temperature control consistent historical cycle of the logging device is obtained, and the average value of the obtained liquid nitrogen valve opening and closing degree is calculated to obtain the preset liquid nitrogen valve opening and closing degree.

[0149] It should be noted here that:

[0150] The above steps S2 and S3 have the following advantages: by screening multiple historical logging records that match the operating conditions of the target logging device, the temperature of the target logging device is pre-controlled, which realizes linear temperature control of the target logging device. It can identify the temperature change pattern under specific operating conditions in advance, thereby adjusting the control strategy before operation and avoiding the impact of temperature fluctuations on equipment performance.

[0151] The linear control method reduces the impact of thermal stress on the instrument through a smooth temperature regulation curve, ensuring the stability of the equipment in high-temperature environments and extending the service life of key components. In addition, the pre-control mode, combined with historical experience, can optimize the thermal management scheme in a targeted manner, reduce measurement errors caused by extreme temperatures, and improve the reliability and consistency of logging data. Through the synergistic effect of historical data and linear control, a shift from passive response to proactive prevention is achieved, providing a solid guarantee for efficient and safe operation under complex conditions.

[0152] Example 2

[0153] Based on another concept of the same invention, a temperature control system for a logging instrument is proposed, comprising a data acquisition module, a sample matching module, a temperature control module, and a server. The data acquisition module, the sample matching module, and the temperature control module are respectively connected to the server, and the server controls the data acquisition module, the sample matching module, and the temperature control module respectively.

[0154] The data acquisition module periodically collects drilling temperature and drilling angle data from the target logging device, and analyzes and obtains temperature trend analysis images and angle trend analysis images to obtain preliminary analysis data of the device.

[0155] Specifically as follows:

[0156] The logging devices that require temperature control at the current moment are acquired, and one target logging device is randomly selected from the acquired multiple logging devices.

[0157] During the process of acquiring logging data from the target logging device, the time point when the target logging device is fully extended into the ground is set as the cycle start time point, the time point corresponding to the current moment is set as the cycle end time point, and the time period between the cycle start time point and the cycle end time point is set as the logging data acquisition cycle.

[0158] Perform device temperature analysis on the target logging device during the logging data acquisition cycle, and obtain temperature trend analysis images based on the analysis results;

[0159] Specifically as follows:

[0160] The maximum drilling depth corresponding to the target logging device within the logging data acquisition cycle is obtained, the preset ground depth is obtained, the difference between the maximum drilling depth and the preset ground depth is calculated, and the absolute value of the obtained difference is taken to obtain the equipment drilling depth span.

[0161] It should be noted here that:

[0162] In this application, the value corresponding to the preset ground depth is 0.

[0163] The drilling depth span of the equipment is divided into several depth sub-intervals with equal spans, and the obtained depth sub-intervals are labeled as L1 depth sub-interval to La depth sub-interval according to the numerical depth values ​​from small to large.

[0164] It should be noted here that:

[0165] In this application, 1, 2, 3... in the depth sub-intervals L1 to La are the numbers corresponding to the depth sub-intervals, and a is an integer greater than 0.

[0166] The drilling depth corresponding to the target logging device is within the L1 depth sub-interval during the time period to obtain the L1 depth drilling time period. The underground environmental temperature measured by the target logging device during the L1 depth drilling time period is obtained numerically, and the average value of the obtained underground environmental temperature values ​​is calculated to obtain the L1 interval monitoring temperature.

[0167] Repeat the process of acquiring the monitoring temperature in the L1 interval, and acquire the interval monitoring temperature of the target logging device in the L2 depth sub-interval to the La depth sub-interval respectively, to obtain the monitoring temperature in the L2 interval to the La interval.

[0168] In the existing Cartesian coordinate system, the coordinate point with the L1 depth sub-interval as the horizontal axis and the L1 interval monitoring temperature as the vertical axis is set as the L1 target temperature coordinate point; the coordinate point with the L2 depth sub-interval as the horizontal axis and the L2 interval monitoring temperature as the vertical axis is set as the L2 target temperature coordinate point; and so on, the coordinate point with the La depth sub-interval as the horizontal axis and the La interval monitoring temperature as the La target temperature coordinate point is set as the La target temperature coordinate point.

[0169] Connect the L1 target temperature coordinate point with the L2 target temperature coordinate point, connect the L2 target temperature coordinate point with the L3 target temperature coordinate point, and so on, connect the La-1 target temperature coordinate point with the La target temperature coordinate point to obtain the target temperature trend line. Set the coordinate graph of the target temperature trend line as the temperature trend analysis graph.

[0170] Drilling angle analysis is performed on the target logging device during the logging data acquisition cycle, and angle trend analysis images are obtained based on the analysis results.

[0171] Specifically as follows:

[0172] The logging data acquisition cycle is obtained, and the real-time drilling angle of the target logging device within the logging data acquisition cycle is acquired.

[0173] The real-time drilling angle is obtained as follows:

[0174] Please see Figure 2 The center point of the top of the target logging device is obtained to obtain the first device feature point. A plane perpendicular to the body of the target logging device is drawn through the first device feature point to obtain the first device feature plane. A plane parallel to the first device feature plane is drawn through the center point of the bottom of the target logging device to obtain the second device feature plane. The projection point of the first device feature point in the second device feature plane is obtained to obtain the second device feature point.

[0175] Draw a straight line through the second device feature point to obtain the gravity reference line. Draw a line connecting the first device feature point and the second device feature point to obtain the real-time drilling angle line. Obtain the angle between the gravity reference line and the real-time drilling angle line at the second device feature point to obtain the real-time drilling angle.

[0176] During the logging data acquisition cycle, the time points at which the real-time drilling angle changes are acquired are obtained, resulting in multiple drilling angle change time points. These multiple drilling angle change time points are then marked in chronological order as J1 angle change time point to Jb angle change time point.

[0177] It should be noted here that:

[0178] In this application, 1, 2, 3...b in the angle change time points J1 to Jb are the numbers corresponding to the angle change time points, and b is an integer greater than 0.

[0179] Numerical data is acquired for the drilling depths corresponding to the angle changes at time points J1 and J2 of the target logging device, yielding the drilling depths at time J1 and J2. The difference between the drilling depths at time J2 and J1 is calculated to obtain the depth span of time period J1. Similarly, numerical data is acquired for the drilling depths corresponding to the angle changes at time points J2 and J3 of the target logging device, yielding the drilling depths at time J2 and J3. The difference between the drilling depths at time J3 and J2 is calculated to obtain the depth span of time period J2. This process is repeated for the drilling depths corresponding to the angle changes at time points Jb-1 and Jb of the target logging device, yielding the drilling depths at time points Jb-1 and Jb. The difference between the drilling depths at time points Jb and Jb-1 is calculated to obtain the depth span of time period Jb-1.

[0180] The real-time drilling angles corresponding to the angle changes at time points J1 and J2 of the target logging device are acquired to obtain the drilling angles at time J1 and J2. The average value of the drilling angles at time J1 and J2 is calculated to obtain the drilling angle for time period J1. The real-time drilling angles corresponding to the angle changes at time points J2 and J3 of the target logging device are acquired to obtain the drilling angles at time J2 and J3. Similarly, the real-time drilling angles corresponding to the angle changes at time points Jb-1 and Jb of the target logging device are acquired to obtain the drilling angles at time points Jb-1 and Jb. The average value of the drilling angles at time points Jb-1 and Jb is calculated to obtain the drilling angle for time period Jb-1.

[0181] In the existing Cartesian coordinate system, the coordinate point with the horizontal axis representing the depth span of time period J1 and the vertical axis representing the drilling angle of time period J1 is set as the J1 target angle coordinate point. The coordinate point with the horizontal axis representing the depth span of time period J2 and the vertical axis representing the drilling angle of time period J2 is set as the J2 target angle coordinate point. And so on, the coordinate point with the horizontal axis representing the depth span of time period Jb-1 and the vertical axis representing the drilling angle of time period Jb-1 is set as the Jc target angle coordinate point.

[0182] It should be noted here that:

[0183] In this application, c = b - 1;

[0184] Connect the target angle coordinates of J1 and J2, connect the target angle coordinates of J2 and J3, and so on, connecting the target angle coordinates of Jc-1 and Jc to obtain the target angle trend line. Set the coordinate graph of the target angle trend line as the angle trend analysis image.

[0185] Temperature trend analysis images and angle trend analysis images are defined as preliminary analysis data of the device.

[0186] The sample matching module acquires historical logging records, performs temperature deviation analysis on the historical logging records using temperature trend analysis images to obtain temperature change deviation, performs angle deviation analysis on the historical logging records using angle trend analysis images to obtain angle change deviation, and filters the historical logging records using temperature change deviation and angle change deviation to obtain temperature control sample record matching data.

[0187] Specifically as follows:

[0188] Acquire preliminary analysis data from the device, and based on the preliminary analysis data, obtain temperature trend analysis images and angle trend analysis images respectively;

[0189] For each logging device that has completed logging operations within the logging area, acquire multiple historical logging devices, acquire the historical logging work records corresponding to each historical logging device, and arbitrarily select a sample logging record from the multiple acquired historical logging work records.

[0190] It should be noted here that:

[0191] The historical logging records mentioned here include multiple historical logging records corresponding to the same historical logging device. When the logging device completes a logging operation, a historical logging record is generated.

[0192] Temperature trend analysis images are used to perform temperature line deviation analysis on sample logging records, and the temperature change deviation corresponding to the sample logging records is obtained based on the analysis results.

[0193] Specifically as follows:

[0194] The historical monitoring period of the sample is obtained by extracting historical monitoring time periods from the sample logging records that are equal to the time range of the logging data acquisition cycle.

[0195] It should be noted here that:

[0196] The sample history period involved here is the same as the time period corresponding to the well logging data acquisition period, and the start time of the period is the time when the well logging device is fully extended into the ground.

[0197] The temperature trend lines corresponding to the historical periods of the sample are plotted on the temperature trend analysis graph to obtain the sample temperature trend lines.

[0198] In the temperature trend analysis image, coordinate points with equal horizontal coordinates of the sample temperature trend line and the target temperature trend line are set as temperature point sets, resulting in multiple temperature point sets. The Euclidean distance between the two coordinate points contained in each temperature point set is obtained, resulting in multiple set point distance values. The average value of the obtained multiple set point distance values ​​is calculated to obtain the temperature line value deviation.

[0199] The average value of the vertical axis corresponding to the target temperature trend line is calculated to obtain the target temperature mean. The ratio of the temperature trend line deviation to the target temperature mean is calculated to obtain the temperature deviation degree of the trend line.

[0200] Slope analysis is performed on the sample temperature trend line and the target temperature trend line, and the slope deviation of the temperature trend line is obtained based on the analysis results.

[0201] Specifically as follows:

[0202] The sample temperature trend line is split into sample sub-lines from Y1 to Yd, and the target temperature trend line is split into target sub-lines from M1 to Md.

[0203] It should be noted here that:

[0204] In this application, the abscissas corresponding to the Y1 sample sub-line and the M1 target sub-line are equal, the abscissas corresponding to the Y2 sample sub-line and the M2 target sub-line are equal, and so on, the abscissas corresponding to the Yd sample sub-line and the Md target sub-line are equal.

[0205] The slope of the line corresponding to the sub-line of sample Y1 to sample Yd is obtained numerically, and the slope values ​​of the Y1 line and Yd line are obtained numerically. The slope of the line corresponding to the sub-line of target M1 to target Md is obtained numerically, and the slope values ​​of the M1 line and Md line are obtained numerically.

[0206] The average value of the slope values ​​of the Y1-Yd line is calculated to obtain the average value of the sample slope. The average value of the slope values ​​of the M1-Md line is calculated to obtain the average value of the target slope.

[0207] The temperature slope deviation is calculated by taking the target slope mean, sample slope mean, Y1 slope value, and Yd slope value.

[0208] The formula for calculating the slope deviation of the temperature polygon is as follows:

[0209]

[0210] Where Wzx is the slope deviation of the temperature polyline, Yzi is the slope value of the Yi polyline, Yzp is the mean slope of the sample, Mzi is the slope value of the Mi polyline, and Mzp is the mean slope of the target.

[0211] It should be noted here that:

[0212] In this application, the slope value of the Yi line can be any one of the slope values ​​from the Y1 line to the Yd line, and the slope value of the Mi line can be any one of the slope values ​​from the M1 line to the Md line.

[0213] The temperature change deviation corresponding to the sample well logging record is obtained by calculating the temperature slope deviation and the temperature deviation of the broken line.

[0214] The temperature variation deviation corresponding to the sample well logging records is calculated using the following formula:

[0215] Wpc=(1+Wzx)×Zzp;

[0216] Where Wpc is the temperature change deviation corresponding to the sample logging record, Wzx is the temperature slope deviation, and Zzp is the temperature deviation.

[0217] Angle trend analysis is performed on the sample logging records based on the angle trend analysis image, and the angle change deviation corresponding to the sample logging records is obtained based on the analysis results.

[0218] Specifically as follows:

[0219] The historical monitoring period of the sample is obtained by extracting historical monitoring time periods from the sample logging records that are equal to the time range of the logging data acquisition cycle.

[0220] The angle trend lines corresponding to the historical periods of the sample are plotted on the angle trend analysis graph to obtain the sample angle trend lines;

[0221] Please see Figure 3 In the angle trend analysis image, the target angle coordinates of J1 and Jc are obtained respectively. A straight line perpendicular to the x-axis is drawn through the target angle coordinate of J1 to obtain the first angle reference line. A straight line perpendicular to the x-axis is drawn through the target angle coordinate of Jc to obtain the second angle reference line.

[0222] The area of ​​the multiple closed regions enclosed by the first angle reference line, the second angle reference line, the sample angle trend line and the target angle trend line is obtained. The area values ​​of the multiple closed regions are obtained, and the sum of the obtained areas is calculated. The ratio of the sum of the obtained areas to c-1 is calculated to obtain the average area value of the deviation region.

[0223] In the angle trend analysis image, the inflection point in the target angle trend broken line is obtained. A straight line is drawn through the inflection point and intersecting with the x-axis to obtain multiple characteristic angle lines. The area value of the closed area enclosed by any two characteristic angle lines, the x-axis, and the target angle trend broken line is obtained to obtain multiple characteristic area area values. The average value of the obtained characteristic area area values ​​is calculated to obtain the average area value of the characteristic area.

[0224] The ratio of the average area of ​​the deviation region to the average area of ​​the characteristic region is calculated to obtain the angular change deviation corresponding to the sample well logging record.

[0225] Repeat the process of obtaining the temperature change deviation corresponding to the sample logging record, and obtain the temperature change deviation corresponding to each historical logging record respectively;

[0226] Repeat the process of obtaining the angle change deviation corresponding to the sample logging record, and obtain the angle change deviation corresponding to each historical logging record respectively;

[0227] The preset ranges for temperature deviation and angle deviation are obtained respectively. If both the temperature deviation and angle deviation are within the preset ranges, the corresponding historical logging records are set as temperature-controlled sample records. If either the temperature deviation or angle deviation is not within the preset ranges, the corresponding historical logging records are set as non-temperature-controlled sample records, thus obtaining temperature-controlled sample record matching data.

[0228] It should be noted here that:

[0229] In this application, the lower limit of the preset range of temperature deviation is 0, that is, there is no temperature change deviation. The temperature control sample records matched during the historical logging process of the target logging device are obtained to obtain multiple historical temperature control sample records. The temperature change deviation corresponding to each historical temperature control sample record is obtained to obtain multiple historical temperature change deviations. The historical temperature change deviation with the largest value is set as the upper limit of the preset range of temperature deviation.

[0230] In this application, the lower limit of the preset interval for angle deviation is 0, that is, there is no angle change deviation. The temperature control sample records matched during the historical logging process of the target logging device are obtained to obtain multiple historical temperature control sample records. The angle change deviation corresponding to each historical temperature control sample record is obtained to obtain multiple historical angle change deviations. The historical angle change deviation with the largest value is set as the upper limit of the preset interval for angle deviation.

[0231] The temperature control module performs real-time temperature control on the target logging device based on the matching data recorded from the temperature control sample.

[0232] Specifically as follows:

[0233] Obtain temperature control sample record matching data, and obtain multiple temperature control sample records based on the temperature control sample record matching data;

[0234] During the temperature control of the target logging device, a temperature pre-control cycle is set. During the temperature pre-control cycle, the opening degree of the nitrogen valve corresponding to the target logging device is controlled to the preset liquid nitrogen valve opening degree.

[0235] The preset liquid nitrogen valve opening degree is obtained, as follows:

[0236] The target drilling depth of the target logging device within the temperature pre-control cycle is obtained, the duration of the temperature pre-control cycle is obtained, the expected drilling time is obtained, the ratio of the target drilling depth to the expected drilling time is calculated, the preset drilling speed is obtained, and a preset drilling speed range is set as the intermediate value of the range.

[0237] It should be noted here that:

[0238] In this application, if the preset drilling speed is Vzj, then the upper limit of the preset drilling speed range is Vzj×(1+5%), and the lower limit of the preset drilling speed range is Vzj×(1-5%).

[0239] The drilling depth corresponding to the target logging device at the current moment is obtained to obtain the real-time drilling depth. In the temperature control sample record, the time point when the historical logging device is at the real-time drilling depth in the temperature control sample record is set as the intercept feature time point. The intercept feature time point is used as the cycle start time point to intercept a historical cycle with the same duration as the temperature pre-control cycle, and multiple historical matching cycles are obtained.

[0240] Obtain the periodic drilling rate of each historical logging device in the corresponding historical matching period. If the periodic drilling rate is within the preset drilling rate range, set the corresponding historical matching period to the temperature control consistent historical period.

[0241] Obtain the liquid nitrogen valve opening degree corresponding to each historical temperature control consistent historical cycle of the historical logging device, and calculate the average value of the obtained liquid nitrogen valve opening degree to obtain the preset liquid nitrogen valve opening degree;

[0242] It should be noted here that:

[0243] Please see Figure 4 In this application, the target logging device can automatically release nitrogen into the insulation body through a liquid nitrogen cooling device to reduce the internal temperature of the thermos bottle;

[0244] In this application, while automatically controlling the opening and closing degree of the nitrogen valve, the internal temperature of the thermos bottle is also monitored in real time through a temperature sensing device. If the temperature exceeds the corresponding threshold, the opening and closing degree of the liquid nitrogen valve is increased.

[0245] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A method of temperature control for a well logging instrument, characterized by, Comprise: Step S1: periodically drilling temperature acquisition and periodically drilling angle acquisition are carried out on the target logging device, temperature trend analysis image and angle trend analysis image are obtained by analysis, and device preliminary analysis data are obtained; Step S2: temperature deviation analysis and angle deviation analysis are carried out on the historical logging work record according to the device preliminary analysis data, and temperature change deviation degree and angle change deviation degree are obtained; The calculation formula of temperature change deviation degree is as follows: ； Wherein, Wpc is the temperature change deviation degree corresponding to the sample logging record, Wzx is the temperature broken line slope deviation degree, and Zzp is the broken line temperature deviation degree; The angle change deviation degree is the ratio of the average area value of the deviation region to the average area value of the characteristic region; The average area value of the deviation region is the ratio of the sum of the areas of a plurality of closed regions to c-1; Wherein, c-1 is the c-1th target angle coordinate point; The average area value of the characteristic region is obtained by averaging the area values of the closed regions surrounded by the straight line passing through the inflection point and the coordinate x axis, the coordinate x axis and the target angle trend broken line; Temperature deviation degree preset interval and angle deviation degree preset interval are obtained respectively, if the temperature change deviation degree is in the temperature deviation degree preset interval and the angle change deviation degree is in the angle deviation degree preset interval, the corresponding historical logging work record is set as a temperature control sample record, if the temperature change deviation degree is not in the temperature deviation degree preset interval or the angle change deviation degree is not in the angle deviation degree preset interval, the corresponding historical logging work record is set as a non-temperature control sample record, and temperature control sample record matching data are obtained; Step S3: real-time temperature control is carried out on the target logging device according to the temperature control sample record matching data.

2. The method of claim 1, wherein, In the step S1, the following steps are included: Step S11: the logging device at the current time is obtained, and a target logging device is selected from the obtained plurality of logging devices; Step S12: during the logging data acquisition of the target logging device, the logging data acquisition period is set; Step S13: device temperature analysis is carried out on the target logging device in the logging data acquisition period, and temperature trend analysis image is obtained; Step S14: drilling angle analysis is carried out on the target logging device in the logging data acquisition period, and angle trend analysis image is obtained; Step S15: the temperature trend analysis image and the angle trend analysis image are defined as device preliminary analysis data.

3. The method of claim 2, wherein, In the step S13, the following steps are included: The maximum drilling depth corresponding to the target logging device in the logging data acquisition period is obtained, the ground preset depth is obtained, the difference between the maximum drilling depth and the ground preset depth is calculated, and the absolute value of the obtained difference is taken, and the equipment drilling depth span is obtained; The equipment drilling depth span is divided into a plurality of depth subintervals with equal interval, and a plurality of depth subintervals are obtained; The environment temperature of the logging environment corresponding to the depth subinterval is obtained, and a plurality of interval monitoring temperatures are obtained; In the plane rectangular coordinate system, the horizontal coordinate is the depth sub-interval, and the vertical coordinate is the coordinate point of the interval monitoring temperature. The coordinate points are connected to obtain the target temperature trend broken line. The coordinate graph where the target temperature trend broken line is located is set as the temperature trend analysis image.

4. The method of claim 2, wherein, The step S14 comprises the following steps: Step S141: acquiring the logging data acquisition period, and acquiring the real-time drilling angle of the target logging device in the logging data acquisition period; The top center point of the target logging device is acquired to obtain a first device feature point. A plane perpendicular to the body of the target logging device is drawn through the first device feature point to obtain a first device feature plane. A plane parallel to the first device feature plane is drawn through the bottom center point of the target logging device to obtain a second device feature plane. The projection point of the first device feature point in the second device feature plane is acquired to obtain a second device feature point; A gravity direction straight line is drawn through the second device feature point to obtain a gravity reference line. A line connecting the first device feature point and the second device feature point is drawn to obtain a real-time drilling angle line. The included angle between the gravity reference line and the real-time drilling angle line at the second device feature point is acquired to obtain the real-time drilling angle. Step S142: acquiring the time points at which the real-time drilling angle changes in the logging data acquisition period to obtain a plurality of angle change time points; Step S143: acquiring the drilling depth of the target logging device at the angle change time points to obtain a plurality of drilling depths at different times. The difference between the drilling depths at every two consecutive times is calculated to obtain a plurality of depth spans in different time periods. Step S144: acquiring the average of the drilling depths of the target logging device at every two consecutive times to obtain a plurality of drilling angles in different time periods. Step S145: in the plane rectangular coordinate system, the horizontal coordinate is the depth span in different time periods, and the vertical coordinate is the coordinate point of the drilling angle in different time periods. The coordinate points are connected in sequence to obtain a target angle trend broken line. The coordinate graph where the target angle trend broken line is located is set as the angle trend analysis image.

5. The method of claim 1, wherein, The step S2 comprises the following steps: Step S21: acquiring device preliminary analysis data, and acquiring the temperature trend analysis image and the angle trend analysis image according to the device preliminary analysis data; Step S22: acquiring each logging device that has completed a logging operation in the logging area, acquiring the historical logging operation record corresponding to each historical logging device, and randomly selecting a sample logging record; Step S23: performing temperature broken line deviation analysis on the sample logging record according to the temperature trend analysis image, and acquiring the temperature change deviation degree corresponding to the sample logging record according to the analysis result; Step S24: performing angle broken line deviation analysis on the sample logging record according to the angle trend analysis image, and acquiring the angle change deviation degree corresponding to the sample logging record according to the analysis result; Step S25: acquiring the temperature change deviation degree corresponding to each historical logging operation record, and acquiring the angle change deviation degree corresponding to each historical logging operation record; Step S26: Obtain a temperature deviation degree preset interval and an angle deviation degree preset interval, if the temperature variation deviation degree is in the temperature deviation degree preset interval and the angle variation deviation degree is in the angle deviation degree preset interval, set the corresponding historical logging work record as a temperature control sample record, if the temperature variation deviation degree is not in the temperature deviation degree preset interval or the angle variation deviation degree is not in the angle deviation degree preset interval, set the corresponding historical logging work record as a non-temperature control sample record, and obtain temperature control sample record matching data.

6. The method of claim 5, wherein, The step S23 comprises the following steps: Step S231: Obtain a sample historical period by intercepting a historical monitoring period equal to a logging data collection period time range in the sample logging record; Step S232: Obtain a sample temperature trend broken line by drawing the sample historical period corresponding temperature trend broken line in a temperature trend analysis image; Step S233: Obtain a temperature broken line value deviation by performing Euclidean distance acquisition on any two coordinate points with equal horizontal coordinates of the sample temperature trend broken line and the target temperature trend broken line in the temperature trend analysis image, and performing mean value calculation on the multiple set point distance values; Step S234: Obtain a target temperature mean value by performing mean value calculation on the vertical coordinates corresponding to the target temperature trend broken line, and obtain a broken line temperature deviation degree by calculating the ratio of the temperature broken line value deviation and the target temperature mean value; Step S235: Obtain a temperature broken line slope deviation degree according to the analysis result by performing slope analysis on the sample temperature trend broken line and the target temperature trend broken line.

7. The method of claim 6, wherein, The step S235 comprises the following steps: Split the sample temperature trend broken line into Y1 sample sub-broken line to Yd sample sub-broken line, and split the target temperature trend broken line into M1 target sub-broken line to Md target sub-broken line; Obtain M1 broken line slope value to Md broken line slope value and Y1 broken line slope value to Yd broken line slope value; Obtain a sample slope mean value by performing mean value calculation on the Y1 broken line slope value to Yd broken line slope value, and obtain a target slope mean value by performing mean value calculation on the M1 broken line slope value to Md broken line slope value; Obtain a temperature broken line slope deviation degree by calculating the target slope mean value, the sample slope mean value, the Y1 broken line slope value to Yd broken line slope value; The temperature broken line slope deviation degree is calculated according to the following formula: ； Wherein, Wzx is the temperature broken line slope deviation degree, Yzi is the Yi broken line slope value, Yzp is the sample slope mean value, Mzi is the Mi broken line slope value, and Mzp is the target slope mean value.

8. The method of claim 5, wherein, The step S24 comprises the following steps: Obtain a sample historical period by intercepting a historical monitoring period equal to a logging data collection period time range in the sample logging record; Obtain a sample angle trend broken line by drawing the sample historical period corresponding angle trend broken line in an angle trend analysis image; In the angle trend analysis image, the J1 target angle coordinate point and the Jc target angle coordinate point are obtained respectively, a straight line perpendicular to the coordinate x axis is drawn through the J1 target angle coordinate point to obtain a first angle reference straight line, and a straight line perpendicular to the coordinate x axis is drawn through the Jc target angle coordinate point to obtain a second angle reference straight line; The area of each closed region surrounded by the first angle reference straight line, the second angle reference straight line, the sample angle trend broken line and the target angle trend broken line is obtained to obtain a plurality of closed region area values, and the sum of the closed region area values is calculated to obtain the average area value of the deviation region; In the angle trend analysis image, a straight line perpendicular to the coordinate x axis is drawn through the inflection point to obtain a plurality of characteristic angle straight lines, the area of the closed region surrounded by any two characteristic angle straight lines, the coordinate x axis and the target angle trend broken line is obtained, and the average value of the obtained area values is calculated to obtain the average area value of the characteristic region; The ratio of the average area value of the deviation region to the average area value of the characteristic region is calculated to obtain the angle change deviation degree corresponding to the sample logging record.

9. The method of claim 1, wherein, The step S3 further includes the following steps: Obtaining temperature control sample record matching data, and obtaining a plurality of temperature control sample records according to the temperature control sample record matching data; In the process of temperature control on the target logging device, a temperature pre-control period is set, and the opening degree of the nitrogen valve corresponding to the target logging device is controlled to be a preset liquid nitrogen valve opening degree in the temperature pre-control period; The preset liquid nitrogen valve opening degree is obtained, and the specific process is as follows: The target drilling depth of the target logging device in the temperature pre-control period is obtained, the length of the temperature pre-control period is obtained, the expected drilling time is obtained, the ratio of the target drilling depth to the expected drilling time is calculated, the preset drilling speed is obtained, and the drilling speed preset interval is set with the preset drilling speed as the interval middle value; The drilling depth corresponding to the current time of the target logging device is obtained to obtain the real-time drilling depth, the time point at which the historical logging device is at the real-time drilling depth is set as the feature extraction time point in the temperature control sample record, a historical period equal to the length of the temperature pre-control period is extracted with the feature extraction time point as the cycle start time point to obtain a plurality of historical matching periods; The cycle drilling speed of each historical logging device in the corresponding historical matching period is obtained, and if the cycle drilling speed is in the drilling speed preset interval, the corresponding historical matching period is set as the temperature control consistent historical period; The liquid nitrogen valve opening degree corresponding to the temperature control consistent historical period of the historical logging device is obtained, and the average value of the obtained liquid nitrogen valve opening degrees is calculated to obtain the preset liquid nitrogen valve opening degree.

10. A temperature control system for a well logging instrument, adapted for use in a temperature control method for a well logging instrument as claimed in any one of claims 1-9, characterized in that, The temperature control system includes: A data acquisition module: periodically collects the drilling temperature and the drilling angle of the target logging device, and analyzes and obtains a temperature trend analysis image and an angle trend analysis image to obtain device preliminary analysis data; The sample matching module obtains historical logging work records, analyzes the historical logging work records through a temperature trend analysis image to obtain a temperature change deviation degree, analyzes the historical logging work records through an angle trend analysis image to obtain an angle change deviation degree, screens the historical logging work records through the temperature change deviation degree and the angle change deviation degree, and obtains temperature control sample record matching data; The temperature control module performs real-time temperature control on the target logging device according to the temperature control sample record matching data.

Images