A distributed intelligent logging system and logging method

Abstract

The application discloses a kind of distributed intelligent well logging system and well logging method, it is related to intelligent well logging technical field, the system of the present application includes winch control module, environmental analysis module, tension analysis module, component control module and safety warning module, the present application first winch control module gathers in-well basic data, sets up winch basic control scheme;Second, environmental data are analyzed by environmental analysis module, and the winch correction control scheme is obtained;Tension analysis module sets up the control scheme of rope according to the analysis of rope tension data;Component control module analyzes distributed component measurement data, and sets up component sensor control scheme;Finally, through safety warning module, the above scheme analysis control change data and early warning, each module specific analysis and scheme setting process involves a variety of data analysis, for accurately controlling winch and component operation, improve well logging safety and accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent logging, in particular to a distributed intelligent logging system and a logging method. BACKGROUND

[0002] With the development of oil and gas exploration and development towards more complex formations, the precision of logging data is unprecedentedly improved, therefore, a distributed intelligent logging system and a logging method are needed.

[0003] In the traditional logging process, the control of the winch often depends on experience and simple parameter setting, lacking accurate analysis of the complex environment in the well, and factors such as hole diameter change, hole inclination angle and azimuth angle change will affect the operation of the winch, but the traditional method is difficult to adjust the operation parameters of the winch in real time according to these factors, resulting in limited measurement accuracy and unable to accurately obtain the data in the well.

[0004] Logging operations are usually carried out in complex geological environments, and the lithology, temperature, formation porosity, permeability and formation pressure of different monitoring layers differ greatly. The traditional logging system cannot well adapt to these environmental changes, and cannot modify the winch control scheme according to the environmental data, thereby affecting the accuracy and efficiency of the measurement.

[0005] In the logging process, the change of the tension of the rope is a key factor, and the traditional system is difficult to accurately monitor the tension value, tension change rate and tension fluctuation index of the rope in real time, when the rope tension is abnormal, it cannot be adjusted in time and effectively, which may cause problems such as rope damage, measurement instrument failure, etc., affecting the smooth progress of the logging operation. SUMMARY

[0006] In view of the above technical deficiencies, the purpose of the present application is to provide a distributed intelligent logging system and a logging method.

[0007] To solve the above technical problems, the present application adopts the following technical scheme: the present application provides a distributed intelligent logging system, comprising the following modules: a winch control module for collecting well basic data, analyzing the well basic data, and setting a winch basic control scheme.

[0008] An environment analysis module for collecting environmental data, analyzing the environmental data based on the winch basic control scheme, and obtaining a winch correction control scheme.

[0009] A tension analysis module for collecting rope tension data, analyzing the rope tension data based on the winch correction control scheme, and setting a rope control scheme.

[0010] The component control module is used for collecting measurement data of each distributed component, analyzing the measurement data of each distributed component, and setting a component sensor control scheme.

[0011] The safety warning module is used for collecting control change data according to the winch basic control scheme, the winch correction control scheme, the rope control scheme and the component sensor control scheme, analyzing the control change data, and performing a warning.

[0012] Preferably, the winch basic control scheme is set, and the setting process is specifically as follows: the well internal basic data includes well diameter change rates of each monitoring layer, well diameter change degree indexes, well diameter ellipticities, inclination angles and azimuth angles; if the inclination angle change index of a monitoring layer is equal to the inclination angle change interval of a certain movement direction and the azimuth angle change index belongs to the azimuth angle change index interval of the movement direction, it is indicated that the monitoring layer is the movement direction.

[0013] The well diameter change rates, the well diameter change degree indexes and the well diameter ellipticities of each monitoring layer are substituted into a measurement displacement safety index calculation formula to obtain measurement displacement safety indexes of each monitoring layer; the corresponding drop speeds of each measurement displacement safety index are obtained from a database, and then drop speeds of each monitoring layer are obtained; the movement direction and the drop speed of each monitoring layer are related through a cosine trigonometric function formula to obtain rope movement speeds of each monitoring layer of the winch, and then rope movement speed differences of each monitoring layer of the winch are obtained; the corresponding cross-axis current given values of each speed difference are obtained from the database, and then basic cross-axis current given values of each monitoring layer of the winch are obtained; and the winch basic control scheme is that when the logging platform reaches the monitoring area of each monitoring layer, the size of the cross-axis current is changed to the corresponding basic cross-axis current given value.

[0014] On the other hand, the application provides a distributed intelligent logging method, which comprises the following steps: step one, winch control: collecting well internal basic data, analyzing the well internal basic data, and setting a winch basic control scheme.

[0015] Step two, environment analysis: collecting environment data, analyzing the environment data based on the winch basic control scheme, and obtaining a winch correction control scheme.

[0016] Step three, tension analysis: collecting rope tension data, analyzing the rope tension data based on the winch correction control scheme, and setting a rope control scheme.

[0017] Step four, component control: collecting measurement data of each distributed component, analyzing the measurement data of each distributed component, and setting a component sensor control scheme.

[0018] Step five, safety warning: collect control change data, for collecting control change data according to winch basic control scheme, winch correction control scheme, rope control scheme and component sensor control scheme, analyzing control change data, and warning.

[0019] The beneficial effects of the present application are: 1. Firstly, the winch control module collects the in-well basic data, sets the winch basic control scheme; secondly, the environmental analysis module analyzes the environmental data to obtain the winch correction control scheme; the tension analysis module sets the rope control scheme according to the analysis of the rope tension data; the component control module analyzes the distributed component measurement data to set the component sensor control scheme; finally, the safety warning module analyzes the control change data of the above schemes and gives a warning. The specific analysis and scheme setting process of each module involves various data analysis, which is used to accurately control the operation of the winch and the component, and improve the safety and accuracy of logging.

[0020] 2. The present application can control the cross-axis current based on the well diameter change and angle change data and logging safety, thereby adjusting the motor output torque by controlling the cross-axis current, and then controlling the winch speed and winch acceleration of the logging device according to the basic power frequency, which reduces the safety of the logging device movement. At the same time, according to the rock stratum environmental data of the set region, the detection accuracy is evaluated, so as to guarantee the detection accuracy by controlling the power frequency, control the winch speed of the logging device through the motor two-end control system, improve the safety of the measurement process, and increase the effectiveness of the measurement data.

[0021] 3. The present application uses the rope tension feedback control model to monitor the tension value, tension change rate and tension fluctuation index of the rope in real time. Once the abnormal rope extension and contraction tension is detected, the cross-axis current, power frequency and control correction parameters can be quickly adjusted according to the output results, which prevents equipment failure caused by rope tension problems, prolongs the service life of the equipment, guarantees the continuity of logging operation, and prevents potential safety hazards such as rope rupture and excessive stretching in advance, avoids accidents caused by equipment failure, protects personnel safety and reduces economic losses.

[0022] 4. The present application comprehensively controls the change data in multiple dimensions, performs measurement warning, stops the winch movement and gives a warning, provides all-round and multi-level safety protection for logging operation, can detect and respond in time in the early stage of potential safety risk of the system, avoids further expansion of safety hazards, effectively reduces the probability of safety accidents, and improves the safety of logging operation in a safe environment. BRIEF DESCRIPTION OF DRAWINGS

[0023] In order to make the technical solutions in the embodiments of the present application or the prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced. Obviously, the accompanying drawings in the following description only aim to explain some of the embodiments of the present application, and for those skilled in the art, other drawings can be obtained without any creative effort based on these drawings.

[0024] Figure 1 For the system structure connection diagram of the present application.

[0025] Figure 2 For the method implementation step flow diagram of the present application. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort belong to the protection scope of the present application.

[0027] According to Figure 1 The present application provides a distributed intelligent logging system, comprising the following modules: winch control module, environment analysis module, tension analysis module, component control module, safety warning module and database.

[0028] The environment analysis module is connected with the winch control module and the tension analysis module respectively, the component control module is connected with the tension analysis module and the safety warning module respectively, and the winch control module, the environment analysis module, the tension analysis module, the component control module and the safety warning module are all connected with the database.

[0029] The winch control module is used for collecting basic data in the well, analyzing the basic data in the well and setting basic control scheme of the winch.

[0030] In a specific embodiment, the collection of the basic data in the well is specifically as follows: the basic data in the well includes well diameter change rate, well diameter change degree index, well diameter ellipticity, deviation angle and azimuth angle of each monitoring layer, the well diameter in each direction of each monitoring layer is collected by an ultrasonic well diameter sensor, the average well diameter of each monitoring layer is calculated by average value, the difference between the average well diameter of the current monitoring layer and the average well diameter of the last monitoring layer is subtracted, and the depth difference between the monitoring layers is divided to obtain the well diameter change rate of the current monitoring layer, and thus the well diameter change rates of each monitoring layer are obtained.

[0031] If the current monitoring layer hole diameter is greater than or equal to the last monitoring layer hole diameter, the difference between the maximum hole diameter and the average hole diameter of the current monitoring layer is divided by the average hole diameter to obtain the hole diameter change degree index of the current monitoring layer. If the current monitoring layer hole diameter is less than the last monitoring layer hole diameter, the difference between the average hole diameter and the minimum hole diameter of the current monitoring layer is divided by the average hole diameter to obtain the hole diameter change degree index of the current monitoring layer. In this way, the hole diameter change degree index of each monitoring layer is obtained. The difference between the maximum hole diameter and the minimum hole diameter of each monitoring layer is divided by the average hole diameter to obtain the hole diameter ellipticity of each monitoring layer.

[0032] The hole inclination angle of each monitoring layer is collected by a fluxgate sensor, and the azimuth angle of each monitoring layer is collected by an accelerometer.

[0033] In a specific embodiment, the winch base control scheme is set, and the specific setting process is as follows: if the hole inclination angle change index of a certain monitoring layer is equal to the hole inclination angle change interval of a certain movement direction and the azimuth angle change index belongs to the azimuth angle change index interval of the movement direction, it indicates that the monitoring layer is the movement direction.

[0034] It should be noted that if the movement direction angle corresponding to the hole inclination angle change index is different from the movement direction angle corresponding to the azimuth angle change index, if the difference between the movement direction angle corresponding to the hole inclination angle change index and the movement direction angle corresponding to the azimuth angle change index is greater than the preset movement direction angle difference, the maximum movement direction angle is selected as the corresponding movement direction angle. If the difference between the movement direction angle corresponding to the hole inclination angle change index and the movement direction angle corresponding to the azimuth angle change index is less than or equal to the preset movement direction angle difference, the average of the movement direction angle corresponding to the hole inclination angle change index and the movement direction angle corresponding to the azimuth angle change index is selected as the preset movement direction angle.

[0035] The preset movement direction angle difference is set by the staff.

[0036] The hole diameter change rate, the hole diameter change degree index, and the hole diameter ellipticity of each monitoring layer are substituted into the measurement displacement safety index calculation formula to obtain the measurement displacement safety index of each monitoring layer. The corresponding drop speed of each measurement displacement safety index is obtained from the database, and then the drop speed of each monitoring layer is obtained. The movement direction and the drop speed of each monitoring layer are related by the cosine trigonometric function to obtain the rope movement speed of each monitoring layer of the winch, and then the rope movement speed difference of each monitoring layer of the winch is obtained. The corresponding cross-axis current given value of each speed difference is obtained from the database, and then the base cross-axis current given value of each monitoring layer of the winch is obtained. The winch base control scheme is: when the logging platform reaches the monitoring area of each monitoring layer, the size of the cross-axis current is changed to the corresponding base cross-axis current given value.

[0037] It should be noted that the measurement displacement safety index calculation formula is: wherein, To monitor the measured displacement safety index of layer a, a is the monitoring layer number, the value of a is a positive integer, 、 and are the hole diameter change rate, hole diameter change degree index and hole diameter ellipticity of monitoring layer a respectively, 、 and are the standard hole diameter change rate, standard hole diameter change degree index and standard hole diameter ellipticity respectively, 、 and are the hole diameter change rate weight factor, hole diameter change degree index weight factor and hole diameter ellipticity weight factor respectively, , , , .

[0038] Standard parameters 、 and are the hole diameter change rate threshold, hole diameter change degree index threshold and hole diameter ellipticity threshold of the normal monitoring layer, when the hole diameter change rate, hole diameter change degree index and hole diameter ellipticity of monitoring layer a are greater than the threshold, it indicates that the hole diameter change of monitoring layer a is abnormal, which increases the risk of rope movement, the specific value is set by the staff, for example is 0.19, is 0.39 and is 0.28, the weight factor is set by 、 and staff, the specific value is for example is 0.2, is 0.2 and is 0.6.

[0039] An environmental analysis module is used to collect environmental data, analyze the environmental data based on the winch basic control scheme, and obtain a winch correction control scheme.

[0040] In one specific embodiment, the collection of environmental data is specifically collected as follows: the environmental data includes the lithology correction index, temperature, formation porosity, permeability and formation pressure of each measurement point of each monitoring layer, the temperature of each measurement point of each monitoring layer is collected by a temperature sensor, the formation porosity of each measurement point of each monitoring layer is collected by a formation porosity sensor, the permeability of each measurement point of each monitoring layer is collected by a nuclear magnetic resonance permeability sensor, and the formation pressure of each measurement point of each monitoring layer is collected by a formation pressure sensor.

[0041] The rock pictures of each measuring point of each monitoring layer are collected by the camera, the rock types of each measuring point of each monitoring layer are obtained through image recognition technology, the lithology correction indexes corresponding to each rock type are obtained from the database, and the lithology correction indexes of each measuring point of each monitoring layer are obtained.

[0042] In one specific embodiment, the environmental data is analyzed, and the specific analysis process is as follows: the lithology correction index, temperature, formation porosity, permeability and formation pressure of each measuring point of each monitoring layer are substituted into the measurement accuracy index calculation formula to obtain the measurement accuracy index of each measuring point of each monitoring layer, the maximum measurement accuracy index of each measuring point is recorded as the measurement accuracy index corresponding to each monitoring layer, and the measurement accuracy index of each monitoring layer is obtained. The measurement moving speed corresponding to each measurement accuracy index is obtained from the database, and the measurement moving speed of each monitoring layer is obtained.

[0043] It should be noted that the measurement accuracy index calculation formula expression is: , , , , , , , , , , , , , , , , , , .

[0044] Standard parameters , , , The setting process of is the same as that of the standard parameter , for example is 1.3, is 0.9, is 0.8 and is 0.56, the weight factors , , the setting process of the weight factor is the same as the setting process of the weight factor is 0.3, is 0.3, is 0.3, and is 0.1.

[0045] The power frequency corresponding to each measured moving speed is obtained from the database, so as to obtain the corrected power frequency of each monitoring layer. The winch correction control scheme is: if the measured moving speed of a monitoring layer is greater than or equal to the rope movement speed, it indicates that the power frequency of the monitoring layer is the preset power frequency; if the measured moving speed of a monitoring layer is less than the rope movement speed, the power frequency of the monitoring layer is changed to the corrected power frequency.

[0046] It should be noted that when the power frequency is controlled, the corrected power frequency is multiplied by the current control correction parameter for correction before control.

[0047] The tension analysis module is used to collect rope tension data, analyze the rope tension data based on the winch correction control scheme, and set the rope control scheme.

[0048] In one specific embodiment, the rope tension data is collected, and the specific collection process is as follows: the rope tension value of each collection is collected by a strain gauge tension sensor, and then the tension value of the current rope is obtained.

[0049] The average tension value is calculated by averaging the rope tension values of each collection. The difference between the tension value of the current rope and the average tension value is divided by the average tension value to obtain the tension change rate of the current rope. The rope tension difference value of each collection is obtained by difference calculation. If the rope tension difference value of a collection is greater than the preset standard rope tension difference value, the collection is recorded as fluctuation collection. The fluctuation collection frequency is divided by the total collection frequency to obtain the tension fluctuation index of the current rope.

[0050] It should be noted that the standard rope tension difference value is a tension difference threshold value in the normal rope movement process. When the rope tension difference value is greater than the threshold value, it indicates that the current rope tension appears fluctuation that can cause failure. The specific value is set by the staff.

[0051] In one specific embodiment, the rope tension data is analyzed, and the specific analysis process is as follows: the rope tension data includes the tension value, the tension change rate and the tension fluctuation index of the current rope. The tension value, the tension change rate and the tension fluctuation index of the current rope are input into the rope tension feedback control model to obtain the output result of the current rope. The numerical value of the output result includes -1, 0 and 1.

[0052] If the output result is 0, it indicates that the current rope stretch tension is normal, if the output result is not 0, it indicates that the current rope stretch tension is abnormal, and the rope control scheme is: when the output result is -1, the standard unit of the cross-axis current is increased, the standard unit of the power frequency is increased, and the control correction parameter of the preset value is increased, when the output result is 1, the standard unit of the cross-axis current is reduced, the standard unit of the power frequency is reduced, and the control correction parameter of the preset value is reduced.

[0053] It should be noted that the standard unit of the power frequency, the standard unit of the cross-axis current and the control correction parameter of the preset value are preset by the staff.

[0054] In one embodiment, the rope tension feedback control model expression is: , wherein, is the output result, A, B and C are the tension value, the tension change rate and the tension fluctuation index of the current rope respectively, is the preset standard rope tension interval, and are the lower limit and the upper limit of the standard rope tension interval respectively, and are the preset standard tension change rate and the standard tension fluctuation index respectively.

[0055] It should be noted that the tension values with stretch tension abnormalities in the database are summarized to obtain the standard rope tension interval , and are the lower limit threshold and the upper limit threshold of the standard rope tension interval respectively, the specific values are, for example, 0.18 and 0.39, the standard parameters and are the tension change rate threshold and the tension fluctuation index threshold respectively, the specific values are set by the staff, for example, 1.2 and 1.1.

[0056] The component control module is used to collect the measurement data of each distributed component, analyze the measurement data of each distributed component, and set the component sensor control scheme.

[0057] In one embodiment, the measurement data of each distributed component is collected, and the specific collection process is as follows: the measurement data of each distributed component is the type of each component and the corresponding measurement value collected each time, the measurement value of each component sensor is uploaded after each collection to obtain the measurement value of each component collected each time, and the type of each component is obtained from the database.

[0058] In one embodiment, the measurement data of each distributed component is analyzed as follows: the measurement data of each distributed component is the type of each component and the corresponding measurement values of each acquisition, each component is summarized according to the corresponding type to obtain the measurement values of each acquisition of each component of each type of distributed component, and the average value is calculated to obtain the average measurement value of each acquisition of each type of distributed component.

[0059] Based on the average measurement value of each acquisition of each type of distributed component, the measurement deviation of each acquisition corresponding to each component of each type of distributed component is calculated to obtain the measurement deviation of each acquisition corresponding to each component of each type of distributed component, and the measurement deviation of each acquisition of each component is obtained. The measurement deviation of each acquisition of each component is fitted with the descending distance interval as the unit to obtain the curve of the measurement deviation of each component changing with the descending distance, which is recorded as the measurement deviation curve of each component.

[0060] It should be noted that the deviation calculation process is: the absolute value of the difference between the measurement value of each acquisition corresponding to each component of each type of distributed component and the average measurement value is divided by the average measurement value to obtain the measurement deviation of each acquisition corresponding to each component of each type of distributed component.

[0061] The image slope of each acquisition of each component is extracted from the measurement deviation curve of each component by image recognition technology, the displacement value fluctuation rate corresponding to each image slope is obtained from the database, and then the displacement value fluctuation rate of each acquisition of each component is obtained.

[0062] The measurement deviation and displacement value fluctuation rate of each acquisition of each component are substituted into the component measurement data anomaly index calculation formula and the depth measurement data anomaly index calculation formula respectively to obtain the component measurement data anomaly index of each component and the depth measurement data anomaly index of each acquisition, and the depth of each acquisition is obtained from the database to obtain the depth measurement data anomaly index of each depth.

[0063] It should be noted that the component measurement data anomaly index calculation formula is: wherein, is the component measurement data anomaly index of component c, c is the number of each component, , n is the total number of components, and are the measurement deviation and displacement value fluctuation rate of the dth acquisition of component c, d is the number of each acquisition, , m is the total number of acquisitions, and are the standard measurement deviation and standard displacement value fluctuation rate, respectively. and are the measurement deviation weight factor and the displacement numerical fluctuation weight factor, respectively, , , , is the preset weight factor of the dth acquisition, , .

[0064] standard parameter and is set in the same way as the standard parameter , for example is 1.57 and is 0.6, the weight factor , and is set in the same way as the weight factor , for example is 0.4, is 0.6 and is 0.1.

[0065] The formula for calculating the depth measurement data anomaly index is: wherein is the depth measurement data anomaly index of the dth acquisition, is the weight factor of the component c, , .

[0066] The setting process of the weight factor is the same as that of the weight factor , for example is 0.16.

[0067] In one specific embodiment, the setting component sensor control scheme is specifically set as follows:

[0068] If the component measurement data anomaly index of a certain component is greater than the standard component measurement data anomaly index, the component measurement device of the component is replaced, and if the depth measurement data anomaly index of a certain depth is greater than the standard depth measurement data anomaly index, the depth is recorded as an abnormal depth, and in this way, each abnormal depth is obtained, the measurement times of each measurement point of each abnormal depth are increased by a preset unit number, the data of each measurement of each component at each measurement point of each abnormal depth is acquired, the data of each normal measurement of each component at each measurement point of each abnormal depth is screened out by the interquartile range method, the mean value measurement data of each component at each measurement point of each abnormal depth is calculated by averaging, and is recorded as the measurement data of each component at each measurement point of each abnormal depth.

[0069] It should be noted that the standard component measurement data anomaly index is the component measurement data anomaly index threshold value of the normal component, when the component measurement data anomaly index is greater than the threshold value, it indicates that the corresponding component is prone to failure, the standard depth measurement data anomaly index is the depth measurement data anomaly index threshold value when the normal measurement, when the depth measurement data anomaly index is greater than the threshold value, it indicates that the error is prone to occur at the corresponding depth, and more data is needed, and the interquartile range method is a method in descriptive statistics, which is prior art and can be specifically queried from the Internet, and will not be described here.

[0070] The safety warning module is configured to collect control change data according to the winch basic control scheme, the winch correction control scheme, the rope control scheme and the component sensor control scheme, analyze the control change data, and perform a warning.

[0071] In one specific embodiment, the collection of control change data specifically collects the following: the control change data includes the number of winch basic controls, the number of winch correction controls, the number of rope controls and the number of component measurement device replacements in a preset time period, the number of winch basic controls is recorded when the quadrature current changes, and the number of winch basic controls in the preset time period is obtained by statistics, the number of winch correction controls is recorded when the power frequency changes, and the number of winch correction controls in the preset time period is obtained by statistics, the number of rope controls is recorded when the output result of the rope tension feedback control model is not 0, and the number of rope controls in the preset time period is obtained by statistics, and the number of component measurement device replacements is recorded when the component measurement device is replaced, and the number of component measurement device replacements in the preset time period is obtained by statistics.

[0072] In one specific embodiment, the analysis of the control change data specifically analyzes the following: the number of winch basic controls, the number of winch correction controls, the number of rope controls and the number of component measurement device replacements in the preset time period are substituted into the measurement warning index calculation formula to obtain the measurement warning index in the preset time period, and if the measurement warning index in the preset time period is greater than the preset standard measurement warning index, the winch movement is stopped and a warning is performed.

[0073] It should be noted that the measurement warning index calculation formula is: wherein, is the measurement warning index, , , and are the number of winch basic controls, the number of winch correction controls, the number of rope controls and the number of component measurement device replacements, , , and respectively are preset standard winch basic control times, standard winch correction control times, standard rope control times and standard component measuring device replacement times, 、 、 and respectively are preset winch basic control times weight factors, winch correction control times weight factors, rope control times weight factors and component measuring device replacement times weight factors, , , , , .

[0074] Standard parameters 、 、 and Setting process is the same as the setting process of standard parameters , for example 1.5, 1.7, 1.7 and 0.67, the setting process of weight factors 、 、 and The setting process is the same as the setting process of weight factors , for example 0.2, 0.3, 0.3 and 0.2.

[0075] The standard measurement early warning index is the measurement early warning index threshold value when the measurement is normal. When the measurement early warning index is greater than the threshold value, it indicates that the current measurement is low in efficiency due to the low risk and accuracy. The specific value is set by the staff.

[0076] Database, for storing each measurement displacement safety index corresponding to the falling speed, each speed difference corresponding to the cross-axis current given value, each measurement accuracy index corresponding to the measurement moving speed, each measurement moving speed corresponding to the power frequency, each image slope corresponding to the displacement value fluctuation rate and each collected depth.

[0077] According to Figure 2 , the present application provides a kind of distributed intelligent logging method, comprising the following steps: step one, winch control: acquisition well basic data, well basic data is analyzed, and winch basic control scheme is set.

[0078] Step two, environmental analysis: collect environmental data, based on winch basic control scheme, environmental data is analyzed, and winch correction control scheme is obtained.

[0079] Step three, tension analysis: collect the rope tension data, based on the winch correction control scheme, analyze the rope tension data, set the rope control scheme.

[0080] Step four, component control: collect the measurement data of each distributed component, analyze the measurement data of each distributed component, and set the component sensor control scheme.

[0081] Step five, safety warning: collect control change data, based on the winch basic control scheme, the winch correction control scheme, the rope control scheme and the component sensor control scheme, collect the control change data, analyze the control change data, and make a warning.

[0082] The above is only an example and description of the concept of the present application. Those skilled in the art can make various modifications or supplements to the described specific embodiments or use similar ways to replace them, as long as they do not deviate from the concept of the present application or exceed the scope defined in the specification, which shall belong to the protection scope of the present application.

Claims

1. A distributed intelligent logging system, characterized in that, Includes the following modules: The winch control module is used to collect basic data from inside the well, analyze the basic data from inside the well, and set up a basic winch control scheme. The environmental analysis module is used to collect environmental data, analyze the environmental data based on the winch basic control scheme, and obtain the winch correction control scheme. The tension analysis module is used to collect rope tension data, analyze the rope tension data based on the winch correction control scheme, and set the rope control scheme. The component control module is used to collect measurement data from each distributed component, analyze the measurement data from each distributed component, and set up component sensor control schemes. The safety early warning module is used to collect control change data based on the winch basic control scheme, winch correction control scheme, rope control scheme, and component sensor control scheme, analyze the control change data, and issue early warnings. The analysis of the measurement data of each distributed component is as follows: The measurement data of each distributed component is the type of each component and the corresponding measurement values ​​collected each time. The components are summarized according to their corresponding types to obtain the measurement values ​​collected for each type of distributed component. The average value is calculated to obtain the average measurement value collected for each type of distributed component. Based on the average measurement values ​​collected from each of the various distributed components, the deviation of the measurement values ​​collected from each of the various distributed components is calculated to obtain the measurement deviation of each of the various distributed components. The measurement deviation of each component is obtained by fitting the measurement deviation of each component to each collection with the descent distance interval as the unit, and the curve of the measurement deviation of each component changing with the descent distance is obtained, which is recorded as the measurement deviation change curve of each component. By using image recognition technology, the slope of each component's image acquired in each acquisition is extracted from the measurement deviation change curve of each component. The displacement value fluctuation rate corresponding to each image slope is obtained from the database, and then the displacement value fluctuation rate of each component acquired in each acquisition is obtained. Substitute the measurement deviation and displacement fluctuation of each component into the calculation formulas for component measurement data anomaly index and depth measurement data anomaly index to obtain the component measurement data anomaly index and the depth measurement data anomaly index for each acquisition. Obtain the depth of each acquisition from the database to obtain the depth measurement data anomaly index for each depth. The specific setting process of the sensor control scheme for the set components is as follows: If the abnormal index of the component measurement data of a certain component is greater than the abnormal index of the standard component measurement data, the component measurement device of that component is replaced. If the abnormal index of the depth measurement data of a certain depth is greater than the abnormal index of the standard depth measurement data, it is recorded as an abnormal depth. In this way, each abnormal depth is obtained, and the number of measurements at each measurement point at each abnormal depth is increased by a preset unit number. The data of each measurement of each component at each measurement point at each abnormal depth is collected. The normal measurement data of each component at each measurement point at each abnormal depth is filtered out by the interquartile range method. The average value is calculated to obtain the mean measurement data of each component at each measurement point at each abnormal depth, which is recorded as the measurement data of each component at each measurement point at each abnormal depth.

2. The distributed intelligent logging system according to claim 1, characterized in that, The specific setup process for the winch basic control scheme is as follows: The basic data in the well includes the well diameter change rate, well diameter change index, well diameter ellipticity, well inclination angle and azimuth angle of each monitoring layer. If the well inclination angle change index of a certain monitoring layer is equal to the well inclination angle change range of a certain movement direction and the azimuth angle change index belongs to the azimuth angle change index range of that movement direction, it indicates that the monitoring layer is in that movement direction. Substituting the wellbore change rate, wellbore change degree index, and wellbore ellipticity of each monitoring layer into the calculation formula for the measured displacement safety index, the measured displacement safety index of each monitoring layer is obtained. The descent speed corresponding to each measured displacement safety index is obtained from the database, and then the descent speed of each monitoring layer is obtained. The movement direction and descent speed of each monitoring layer are used to obtain the rope movement speed of each monitoring layer of the winch through the cosine trigonometric function relationship, and then the rope movement speed difference of each monitoring layer of the winch is obtained. The cross-axis current setpoint corresponding to each speed difference is obtained from the database, and then the basic cross-axis current setpoint of each monitoring layer of the winch is obtained. The winch basic control scheme is: when the logging platform reaches the monitoring area of ​​each monitoring layer, the magnitude of the cross-axis current is changed to the corresponding basic cross-axis current setpoint.

3. The distributed intelligent logging system according to claim 2, characterized in that, The environmental data analysis process is as follows: Environmental data includes lithology correction index, temperature, formation porosity, permeability, and formation pressure at each measurement point in each monitoring layer. The lithology correction index, temperature, formation porosity, permeability, and formation pressure at each measurement point in each monitoring layer are substituted into the measurement accuracy index calculation formula to obtain the measurement accuracy index of each measurement point in each monitoring layer. The maximum measurement accuracy index of each measurement point is recorded as the measurement accuracy index of the corresponding monitoring layer. The measurement accuracy index of each monitoring layer is obtained by retrieving the measurement movement speed corresponding to each measurement accuracy index from the database. The power frequency corresponding to each measured movement speed is obtained from the database, and the corrected power frequency of each monitoring layer is obtained accordingly. The winch correction control scheme is as follows: if the measured movement speed of a certain monitoring layer is greater than or equal to the rope movement speed, it indicates that the power frequency of the monitoring layer is the preset power frequency; if the measured movement speed of a certain monitoring layer is less than the rope movement speed, the power frequency of the monitoring layer is changed to the corrected power frequency.

4. A distributed intelligent logging system according to claim 3, characterized in that, The analysis of the rope tension data is performed as follows: Rope tension data includes the current rope tension value, tension change rate, and tension fluctuation index. The current rope tension value, tension change rate, and tension fluctuation index are input into the rope tension feedback control model to obtain the current rope output result. The output result values ​​include -1, 0, and 1. If the output result is 0, it indicates that the current rope tension is normal. If the output result is not 0, it indicates that the current rope tension is abnormal, and rope control is performed. The rope control scheme is as follows: when the output result is -1, reduce the standard unit cross-axis current, reduce the standard unit power frequency, and increase the preset value of the control correction parameter. When the output result is 1, increase the standard unit cross-axis current, increase the standard unit power frequency, and decrease the preset value of the control correction parameter.

5. A distributed intelligent logging system according to claim 4, characterized in that, The expression for the rope tension feedback control model is as follows: ,in, For the output results, A, B, and C represent the current tension value, tension change rate, and tension fluctuation index of the rope, respectively. For the preset standard rope tension range, and These are the lower and upper limits of the standard rope tension range, respectively. and These are the preset standard tension change rate and standard tension fluctuation index, respectively.

6. A distributed intelligent logging system according to claim 1, characterized in that, The analysis of the control change data is performed as follows: The control change data includes the number of winch basic control operations, winch correction control operations, rope control operations, and component measuring device replacement operations within a preset time period. Substituting these data into the measurement warning index calculation formula yields the measurement warning index for the preset time period. If the measurement warning index for the preset time period exceeds the preset standard measurement warning index, the winch movement is stopped, and a warning is issued.

7. A distributed intelligent logging system according to claim 1, characterized in that, It also includes a database for storing the descent speed corresponding to each measured displacement safety index, the cross-axis current setpoint corresponding to each rotational speed difference, the measured movement speed corresponding to each measured accuracy index, the power supply frequency corresponding to each measured movement speed, the displacement value fluctuation rate corresponding to each image slope, and the depth of each acquisition.

8. A logging method using the distributed intelligent logging system according to any one of claims 1-7, characterized in that, Includes the following steps: Step 1: Winch Control: Collect basic data from inside the well, analyze the basic data from inside the well, and set up a basic control scheme for the winch; Step 2, Environmental Analysis: Collect environmental data, analyze the environmental data based on the basic winch control scheme, and obtain the winch correction control scheme; Step 3: Tension Analysis: Collect rope tension data, analyze the rope tension data based on the winch correction control scheme, and set up a rope control scheme; Step 4: Component Control: Collect measurement data from each distributed component, analyze the measurement data from each distributed component, and set up component sensor control schemes; Step 5, Safety Early Warning: Collect control change data to analyze and issue early warnings based on the winch basic control scheme, winch correction control scheme, rope control scheme, and component sensor control scheme.

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