A directional well measurement method and system based on cloud decoding technology

Abstract

The present invention discloses a directional well measurement method and system based on cloud decoding technology, which belongs to the field of directional well measurement technology. The method obtains the drill bit travel data, drill bit status data and drill bit working environment data in the directional well in real time through a cloud platform, and performs preprocessing; the drill bit travel data and drill bit working environment data in the directional well after preprocessing are respectively subjected to cloud decoding analysis to obtain the drill bit well inclination angle and drill bit azimuth angle in the directional well. The present invention allows the drilling operation to adjust its strategy in real time to cope with the changes in geological conditions through real-time data acquisition and cloud analysis, thereby improving the accuracy and efficiency of drilling. The application of cloud decoding technology ensures the depth and accuracy of data analysis. By accurately calculating the well inclination angle and azimuth angle, the estimation of the drill bit position is more accurate, reducing unplanned drilling activities and corresponding costs caused by error adjustment.

Description

Technical Field

[0001] The present invention belongs to the technical field of directional well measurement, and in particular relates to a directional well measurement method and system based on cloud decoding technology. Background Art

[0002] In the field of oil and gas exploration, directional drilling technology is an efficient drilling method that allows drilling to be carried out from a surface location in multiple directions or at different depths, thereby maximizing the efficiency of resource extraction. With the development of drilling technology and the complexity of drilling conditions, traditional drilling monitoring and control technologies face many challenges, especially in terms of increasing demands for data processing, real-time monitoring and precise guidance.

[0003] During directional drilling, precise positioning and control of the drill bit are the key to successfully reaching the predetermined target layer. This process relies on accurate measurement and real-time data processing, including the position, speed, direction of the drill bit and changes in the surrounding geological environment. However, traditional ground data processing systems are often limited by data transmission delays, insufficient processing power or limited data integration capabilities, resulting in the inability to provide real-time or high-precision drilling guidance.

[0004] Existing technologies rely on ground or downhole processing units to collect and analyze drilling data, which include mechanical parameters of the drill bit, geological guidance data, etc. The ground processing unit faces delays in real-time data transmission, while the downhole processing unit is limited by the challenges of computing power and environmental adaptability. In addition, existing systems usually lack data integration and analysis efficiency, making it difficult to dynamically adjust drilling operations to cope with rapidly changing geological conditions.

[0005] With the development of cloud computing technology, its application in various industries is becoming more and more extensive, especially in data-intensive industries. Cloud computing provides powerful data processing capabilities, efficient data storage and sharing capabilities, and powerful computing resources. These features make it possible to solve data processing and real-time control problems in traditional directional drilling.

[0006] There are certain limitations in the existing directional drilling technology, including: data processing often relies on ground equipment, which can easily lead to data transmission delays at critical decision-making moments; limitations in data preprocessing and analysis can easily lead to misjudgment of the drill bit status and travel path; such delays and inaccuracies in data processing can easily lead to errors in drilling direction, which in turn require additional time and cost to correct; secondly, the monitoring and feedback systems in existing technologies lack real-time and flexibility, and are difficult to cope with rapidly changing geological environments and drilling conditions. At the same time, existing drilling technologies usually only evaluate predicted geological and environmental parameters in the early stages of design, but fail to dynamically optimize drilling plans based on real-time data, which can easily lead to actual drilling operations not matching the prediction model in terms of practicality and effectiveness, greatly inhibiting the economic benefits and implementation progress of the project. Summary of the invention

[0007] In view of the shortcomings of the prior art, the present invention provides a directional well measurement method and system based on cloud decoding technology, which can accurately calculate the well inclination and azimuth, make the estimation of the drill bit position more accurate, and improve the accuracy and efficiency of drilling.

[0008] To achieve the above objectives, the technical solution adopted by the present invention is a directional well measurement method based on cloud decoding technology, comprising the following steps:

[0009] The cloud platform is used to obtain the drill bit travel data, drill bit status data, and drill bit working environment data in the directional well in real time and perform preprocessing;

[0010] The pre-processed drill bit travel data and drill bit working environment data in the directional well are respectively subjected to cloud decoding analysis to obtain the drill bit inclination angle and drill bit azimuth angle in the directional well;

[0011] Comprehensively analyze the drill bit status data, drill bit inclination angle and drill bit azimuth in the directional well to obtain the estimated position coordinates of the drill bit at the next time point in the directional well;

[0012] Determine whether the estimated position coordinates of the drill bit at the next time point in the directional well meet the expected standards;

[0013] If the estimated position coordinates of the drill bit at the next time point in the directional well do not meet the expected standards, the drill bit position is analyzed to correct the coordinate deviation and send it to the relevant staff.

[0014] As a preferred embodiment of the present invention, the drill bit data includes the acceleration component value of the drill bit on the X-axis, the acceleration component value of the drill bit on the Y-axis, and the acceleration component value of the drill bit on the Z-axis; the drill bit status data specifically includes the drill bit travel speed value, the drill bit rotation speed value, the drilling fluid flow rate value, and the drilling fluid pressure value; the drill bit working environment data includes the magnetic field strength value of the drill bit on the X-axis and the magnetic field strength value of the drill bit on the Y-axis.

[0015] As a preferred embodiment of the present invention, the specific formula for calculating the drill bit inclination angle and drill bit azimuth angle in a directional well is as follows:

[0016] ;

[0017] in, is the drill bit inclination angle in directional wells, is the acceleration component of the drill bit on the X-axis, is the acceleration component of the drill bit on the Y axis, is the acceleration component of the drill bit on the Z axis, is the drill bit azimuth in directional wells, is the magnetic field strength value of the drill bit on the X axis, is the magnetic field strength value of the drill bit on the Y axis.

[0018] As a preferred embodiment of the present invention, the specific steps of obtaining the estimated position coordinates of the drill bit at the next time point in the directional well are as follows:

[0019] Comprehensively analyze the drill bit status data in the directional well to obtain the drill bit travel speed correction value in the directional well;

[0020] Comprehensively analyze the drill bit inclination angle and drill bit azimuth in the directional well to obtain the drill bit direction vector in the directional well;

[0021] The drill bit position coordinates at the current time point in the directional well are obtained, and a comprehensive analysis is performed in combination with the drill bit travel speed correction value and the drill bit direction vector in the directional well to obtain the drill bit estimated position coordinates at the next time point in the directional well.

[0022] As a preferred solution of the present invention, the specific steps of calculating the drill bit direction vector in the directional well and the drill bit estimated position coordinates at the next time point are as follows:

[0023] ;

[0024] Among them, FxX is the drill bit direction vector in the directional well, XwZ is the estimated drill bit position coordinate at the next time point in the directional well, SwZ is the drill bit position coordinate at the current time point in the directional well, SdX is the drill bit travel speed correction value in the directional well, For the time interval.

[0025] As a preferred embodiment of the present invention, the specific steps of obtaining the correction value of the drill bit travel speed in the directional well are as follows:

[0026] Normalize the drill bit speed value, drilling fluid flow rate value, and drilling fluid pressure value in the directional well;

[0027] The drill bit speed value, drilling fluid flow rate value and drilling fluid pressure value in the directional well after normalization are comprehensively analyzed to obtain the influence value of the drill bit travel speed in the directional well;

[0028] A comprehensive analysis is performed on the drill bit travel speed value and the drill bit travel speed influence value in the directional well to obtain the drill bit travel speed correction value in the directional well.

[0029] As a preferred solution of the present invention, the specific formula for calculating the drill bit travel speed influence value and the drill bit travel speed correction value in the directional well is as follows:

[0030] ;

[0031] Among them, SdY is the impact value of the drill bit travel speed in the directional well, is the drill bit speed value in the directional well after normalization, α1 is the drill bit speed influence coefficient stored in the database, is the drilling fluid velocity value in the directional well after normalization, α2 is the drilling fluid velocity influence coefficient stored in the database, is the drilling fluid pressure value in the directional well after normalization, α3 is the drilling fluid pressure influence coefficient stored in the database, is a natural constant, and XjS is the drill bit travel speed in the directional well.

[0032] As a preferred solution of the present invention, the specific steps of analyzing the drill bit position and correcting the coordinate deviation are as follows:

[0033] Obtaining the preset position coordinates of the drill bit at the next time point in the directional well, and performing coordinate deviation analysis with the estimated position coordinates of the drill bit at the next time point in the directional well to obtain the initial coordinate deviation of the next time point in the directional well;

[0034] Based on the PID algorithm, the initial coordinate deviation at the next time point in the directional well is comprehensively analyzed to obtain the corrected coordinate deviation of the drill bit position. The calculation formula is as follows:

[0035] ;

[0036] Where WxP is the corrected coordinate deviation of the drill bit position, CwP is the initial coordinate deviation at the next time point in the directional well, and K p is the proportional coefficient stored in the database, is the time interval, K i is the integral coefficient stored in the database, K d is the differential coefficient stored in the database, and t is the time variable.

[0037] A directional well measurement system based on cloud decoding technology, used to implement the above-mentioned directional well measurement method based on cloud decoding technology, including: a data acquisition processing module, an angle analysis module, a drill bit estimated position coordinate analysis module, a judgment module, and a coordinate correction module;

[0038] The data acquisition and processing module is used to obtain the drill bit travel data, drill bit status data and drill bit working environment data in the directional well in real time through the cloud platform and perform preprocessing;

[0039] Angle analysis module, used to perform cloud decoding analysis on the pre-processed drill bit travel data and drill bit working environment data in the directional well, and obtain the drill bit inclination angle and drill bit azimuth angle in the directional well;

[0040] The drill bit estimated position coordinate analysis module is used to comprehensively analyze the drill bit status data, drill bit well inclination angle and drill bit azimuth angle in the directional well to obtain the drill bit estimated position coordinates at the next time point in the directional well;

[0041] A judgment module, used to judge whether the estimated position coordinates of the drill bit at the next time point in the directional well meet the expected standards;

[0042] The coordinate correction module is used to analyze the drill bit position and correct the coordinate deviation when the drill bit estimated position coordinates at the next time point in the directional well do not meet the expected standards, and send it to relevant staff.

[0043] The present invention has the following beneficial effects:

[0044] The present invention allows drilling operations to adjust their strategies in real time to cope with changes in geological conditions through real-time data acquisition and cloud analysis, thereby improving the accuracy and efficiency of drilling. The application of cloud decoding technology ensures the depth and accuracy of data analysis. By accurately calculating the well inclination and azimuth, the estimation of the drill bit position is more accurate, reducing unplanned drilling activities and corresponding costs caused by error adjustments.

[0045] The present invention can provide continuous real-time monitoring and dynamic feedback, so that the actual situation of the drill bit's movement can be quickly responded to during the drilling process. This real-time data processing and feedback mechanism not only reduces the delay in data transmission and processing, but also improves the response speed to sudden geological or technical problems during the drilling process, thereby ensuring the continuity and safety of the operation.

[0046] The present invention optimizes resource allocation and reduces resource waste through precise data analysis, while also reducing the risks that may be encountered during the drilling process. The accurate estimation of the position and the timely adjustment of the drill bit travel speed reduce erroneous operations and potential dangerous situations during the drilling process, thereby improving the economic benefits and safety standards of the entire drilling project. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a flow chart of a directional well measurement method based on cloud decoding technology of the present invention;

[0048] Figure 2 This is a block diagram of a directional well measurement system based on cloud decoding technology in the present invention. DETAILED DESCRIPTION

[0049] The embodiments of the present invention are further described below in conjunction with the accompanying drawings.

[0050] Embodiment 1: The overall idea of ​​this embodiment is as follows: the drill bit travel data, drill bit status data and drill bit working environment data in the directional well are obtained in real time through the cloud platform, and then necessary preprocessing is performed, including data cleaning and formatting, to prepare for subsequent analysis, and the preprocessed data is subjected to cloud decoding analysis, which involves using the drill bit travel data and environmental data to calculate the well inclination and azimuth of the drill bit. These two angles are key parameters for determining the precise position of the drill bit. The decoded well inclination and azimuth are combined with the drill bit status data to perform a comprehensive analysis to estimate the position coordinates of the drill bit at the next time point. This step is achieved by calculating the correction value and the direction vector, and the estimated position is compared with the standard to determine whether it meets the preset target. If the position does not meet the expected standard, a coordinate deviation analysis is performed, and the position correction value is calculated using the PID algorithm, and the correction measures are sent to relevant staff for adjustment.

[0051] like Figure 1 As shown, a directional well measurement method based on cloud decoding technology includes the following steps: obtaining the drill bit travel data, drill bit status data and drill bit working environment data in the directional well in real time through a cloud platform and performing preprocessing; these data can be collected by sensors installed on the drill bit (such as accelerometers, magnetometers, flow meters and pressure gauges), and transmitted to the cloud platform in real time through a wired or wireless system, and the preprocessed drill bit travel data and drill bit working environment data in the directional well are respectively cloud decoded and analyzed (the acceleration data and magnetic field data of the drill bit are decoded to calculate the well inclination and azimuth of the drill bit), so as to obtain the well inclination and drill bit azimuth of the directional well.

[0052] The drill bit data includes the acceleration component value of the drill bit on the X-axis, the acceleration component value of the drill bit on the Y-axis, and the acceleration component value of the drill bit on the Z-axis. The drill bit status data specifically includes the drill bit travel speed value, the drill bit rotation speed value, the drilling fluid flow rate value, and the drilling fluid pressure value; the drill bit working environment data includes the magnetic field strength value of the drill bit on the X-axis and the magnetic field strength value of the drill bit on the Y-axis.

[0053] Among them, the origin of the coordinate system where the drill bit is located is set at the ground position of the wellhead, that is, the ground position where the drilling equipment is located. This is the most intuitive starting point because all drilling depths and directions can be measured from this point.

[0054] The Z axis points downhole, i.e. vertically downward, and in this embodiment, the Z axis uses a positive value to represent the depth of drilling downward, and the plane where the X axis and the Y axis are located is the horizontal plane of the wellhead perpendicular to the Z axis, wherein the X axis points to the north and the Y axis points to the east. This setting helps to be conveniently used in combination with the geographic azimuth.

[0055] The drill head azimuth defines the horizontal deflection of the drill head relative to north.

[0056] The drill bit inclination describes the angle between the drill bit and the vertical line. These angles directly affect the positioning and trajectory planning of the drill bit in three-dimensional space.

[0057] Specifically, the specific formula for calculating the drill bit inclination angle and drill bit azimuth angle in a directional well is as follows:

[0058] ;

[0059] in, is the drill bit inclination angle in directional wells, is the acceleration component of the drill bit on the X-axis, is the acceleration component of the drill bit on the Y axis, is the acceleration component of the drill bit on the Z axis, is the drill bit azimuth in directional wells, is the magnetic field strength value of the drill bit on the X axis, is the magnetic field strength value of the drill bit on the Y axis.

[0060] In this embodiment, the inclination angle and azimuth are key parameters used to describe the direction of the drill bit in space in directional drilling. They directly affect the trajectory of drilling and the final drilling results. By accurately calculating the inclination angle and azimuth angle, the drilling operation can more accurately locate the spatial direction of the drill bit, thereby accurately controlling the drilling path to maximize the approach or reach the predetermined target layer; real-time acquisition of the drill bit's azimuth and inclination data enables the operation team to instantly adjust the drilling direction to cope with complex geological conditions or deviations from the predetermined trajectory. Accurate direction control can effectively reduce errors and re-drilling events during the drilling process, thereby reducing risks and costs; more accurate drill bit positioning and trajectory control means that drilling resources, such as drilling tools and drilling fluids, can be used more effectively, avoiding unnecessary waste of materials and additional costs. By continuously monitoring the drill bit's azimuth and inclination angle, potential safety issues (such as drill bit stuck, deviation from the predetermined layer, etc.) can be discovered in a timely manner, and measures can be taken quickly, thereby improving the safety of the entire drilling operation. The application of this cloud decoding technology provides new impetus for the advancement and innovation of drilling technology and promotes the development of intelligent drilling and automated drilling technology.

[0061] Comprehensively analyze the drill bit status data (decoded drill bit speed, drilling fluid flow rate and pressure data), drill bit inclination angle and drill bit azimuth angle in the directional well to obtain the estimated drill bit position coordinates at the next time point in the directional well;

[0062] The drill bit status data in the directional well is comprehensively analyzed to obtain the drill bit travel speed correction value in the directional well.

[0063] The drill bit speed value, drilling fluid flow rate value and drilling fluid pressure value in the directional well are normalized; the drill bit speed value, drilling fluid flow rate value and drilling fluid pressure value in the directional well after normalization are comprehensively analyzed to obtain the drill bit travel speed influence value in the directional well; the drill bit travel speed value and drill bit travel speed influence value in the directional well are comprehensively analyzed to obtain the drill bit travel speed correction value in the directional well.

[0064] The specific formula for calculating the drill bit travel speed influence value and drill bit travel speed correction value in directional wells is as follows:

[0065] ;

[0066] Among them, SdY is the impact value of the drill bit travel speed in the directional well, is the drill bit speed value in the directional well after normalization, α1 is the drill bit speed influence coefficient stored in the database, is the drilling fluid velocity value in the directional well after normalization, α2 is the drilling fluid velocity influence coefficient stored in the database, is the drilling fluid pressure value in the directional well after normalization, α3 is the drilling fluid pressure influence coefficient stored in the database, is a natural constant, and XjS is the drill bit travel speed in the directional well.

[0067] In this embodiment, by considering the actual influence of factors such as rotation speed, flow rate and pressure on the travel speed, the travel speed of the drill bit can be controlled more accurately, thereby optimizing the drilling efficiency and accuracy; normalization processing and influence value analysis enable the drilling operation to flexibly adapt to different geological conditions and equipment conditions, improving the adaptability and flexibility of the operation; accurate speed adjustment reduces the risk of drilling accidents caused by improper speed, such as stuck drill, broken drill, etc., thereby improving the safety of the entire drilling operation. This method provides a data-driven way to adjust the travel speed of the drill bit, based on real-time data and algorithm models, rather than relying solely on experience or intuition, thereby improving the scientificity and accuracy of decision-making, accurate speed control and timely adjustment can reduce unplanned shutdowns and maintenance caused by equipment failure or operational errors, which directly reduces the time and cost of the project. The application of this comprehensive analysis and correction method promotes the development of drilling technology, especially in the field of automated and intelligent drilling, and provides practical cases and data support for future technological innovation.

[0068] The drill bit inclination angle and drill bit azimuth in the directional well are comprehensively analyzed to obtain the drill bit direction vector in the directional well.

[0069] The drill bit position coordinates at the current time point in the directional well are obtained, and a comprehensive analysis is performed in combination with the drill bit travel speed correction value and the drill bit direction vector in the directional well to obtain the drill bit estimated position coordinates at the next time point in the directional well.

[0070] The specific steps for calculating the drill bit direction vector in a directional well and the drill bit estimated position coordinates at the next time point are as follows:

[0071] ;

[0072] Among them, FxX is the drill bit direction vector in the directional well, XwZ is the estimated position coordinate of the drill bit at the next time point in the directional well, SwZ is the drill bit position coordinate at the current time point in the directional well, SdX is the drill bit travel speed correction value in the directional well, The time interval (indicates the time difference between the last location update and the current location update, usually in seconds).

[0073] In this embodiment, by adjusting the drill bit speed in real time and accurately calculating the drill bit direction, the accuracy of the drilling path can be significantly improved, ensuring that the drilling operation meets the design requirements and reducing deviations and errors; real-time data analysis and rapid adjustment of drill bit travel parameters allow drilling operations to respond quickly to geological changes and changes in other drilling conditions, thereby effectively adapting to complex or unstable drilling environments; precise drill bit positioning and efficient path correction reduce the need for ineffective drilling and repeated drilling, thereby saving costs and time, while reducing the risk of wear and damage to drill tools; by real-time monitoring and adjustment of the drill bit position, it is possible to adapt to sudden changes in geological conditions, provide instant geological feedback for drilling, and help decision makers better understand the downhole situation; combining real-time analysis of drilling data with cloud technology to provide data-based decision support for the drilling team, enhance the scientificity and accuracy of decision-making, and accurate prediction and real-time adjustment can effectively manage risks in the drilling process, prevent possible drilling accidents, and improve the overall safety of drilling operations.

[0074] Determine whether the estimated position coordinates of the drill bit at the next time point in the directional well meet the expected standards; if the estimated position coordinates of the drill bit at the next time point in the directional well do not meet the expected standards, analyze the drill bit position to correct the coordinate deviation and send it to relevant staff.

[0075] The preset position coordinates of the drill bit at the next time point in the directional well are obtained, and the coordinate deviation is analyzed with the estimated position coordinates of the drill bit at the next time point in the directional well to obtain the initial coordinate deviation at the next time point in the directional well; based on the PID algorithm, the initial coordinate deviation at the next time point in the directional well is comprehensively analyzed to obtain the corrected coordinate deviation of the drill bit position, and the calculation formula is as follows:

[0076] ;

[0077] Where WxP is the corrected coordinate deviation of the drill bit position, CwP is the initial coordinate deviation at the next time point in the directional well, and K p is the proportional coefficient stored in the database, K i is the integral coefficient stored in the database, K d is the differential coefficient stored in the database, and t is the time variable.

[0078] The differential term in the embodiment uses the initial coordinate deviation at the previous time point and the initial coordinate deviation at the next time point to calculate the rate of change, where dt in the differential term is the time interval .

[0079] In this embodiment, the PID control algorithm can comprehensively consider the current deviation and its changing trend, allowing real-time and precise adjustment of the drill bit path, thereby reducing the impact of the deviation on the final drilling target. Real-time deviation analysis and PID adjustment enable drilling operations to dynamically respond to formation changes and equipment performance fluctuations, thereby improving the adaptability and flexibility of the drilling process; by accurately controlling the movement of the drill bit, unplanned shutdowns and correction drilling caused by path deviations are reduced, thereby saving time and costs. Accurate deviation control and real-time path correction directly improve the efficiency of drilling operations, while reducing safety risks that may be caused by deviations from the predetermined trajectory. In complex geological conditions or deep-water drilling, advanced PID control technology provides the necessary technical support to make drilling more reliable and support the execution of more complex drilling projects; by implementing this advanced data analysis and control strategy, the development of drilling technology towards automation and intelligence is promoted, paving the way for future drilling technology innovations.

[0080] Examples based on the method of this embodiment are as follows:

[0081] If the estimated position coordinates of the drill bit at the next time point in the directional well do not meet the expected standards, the drill bit position correction coordinate deviation is analyzed. The analysis process is as follows:

[0082] The acceleration component value of the drill bit on the X-axis is: 0.2m / s 2 ;

[0083] The acceleration component value of the drill bit on the Y axis is: 0.3m / s 2 ;

[0084] The acceleration component value of the drill bit on the Z axis is: 0.1m / s 2 ;

[0085] The magnetic field strength of the drill bit on the X axis is: 400nT;

[0086] The magnetic field strength of the drill bit on the Y axis is: 300nT;

[0087] The current position coordinates of the drill bit: x=100m, y=150m, z=200m;

[0088] Time interval: Δt=1s (one second);

[0089] The drill bit speed value in the directional well after normalization is: 0.042;

[0090] The influence coefficient of drill bit speed is: 0.15;

[0091] The drilling fluid velocity value in the directional well after normalization is: 0.058;

[0092] The drilling fluid velocity influence coefficient is: 0.25;

[0093] The drilling fluid pressure value in the directional well after normalization is: 0.063;

[0094] The drilling fluid pressure influence coefficient is: 0.45;

[0095] The drill bit travel speed in a directional well is: 2m / s;

[0096] The value of the natural constant is: 2.71828;

[0097] The scaling factor stored in the database is: 0.1;

[0098] The integral coefficient stored in the database is: 0.01;

[0099] The differential coefficient stored in the database is: 0.05;

[0100] The preset position coordinates of the drill bit at the next time point in the directional well are: x1=102m, y1=152m, z1=203m.

[0101] The above data are respectively brought into the calculation formulas for calculating the drill bit inclination angle and drill bit azimuth angle, drill bit direction vector, drill bit travel speed influence value, drill bit travel speed correction value, and drill bit estimated position coordinates at the next time point in the directional well, and the following is obtained:

[0102] The drill bit inclination angle in a directional well = arctan (((0.2 2 +0.3 2 ) 1 / 2 ) / 0.1)=arctan(1.14)≈48.81°;

[0103] The drill bit azimuth in a directional well = arctan (300 / 400) ≈ 36.87°;

[0104] The drill bit direction vector in the directional well = {cos (48.81°) * cos (36.87°), sin (48.81°) * sin (36.87°), sin (48.81°)} = {0.654, 0.479, 0.746};

[0105] The impact value of the drill bit travel speed in the directional well = (0.15*0.042+0.25*0.058+0.45*0.063) / (2.71828-1)≈0.0286;

[0106] The drill bit travel speed correction value in the directional well = 2*(1+0.0286) = 2.0572m / s;

[0107] The estimated position coordinates of the drill bit at the next time point in the directional well = (100, 150, 200) + (0.654, 0.479, 0.746) * 1 * 2.0572 = (101.3452, 150.9852, 201.5347).

[0108] The preset position coordinates of the drill bit at the next time point in the directional well are analyzed for coordinate deviation with the estimated position coordinates of the drill bit at the next time point in the directional well, and the initial coordinate deviation of the next time point in the directional well is obtained = (0.7, 1.1, 1.5), where one decimal place is retained.

[0109] The initial coordinate deviation at the next time point in the directional well is input into the calculation formula of the drill bit position correction coordinate deviation, and the drill bit position correction coordinate deviation = (0.06322, 0.09722, 0.144795) is obtained, which means that the drill bit should move 6.322 cm forward along the horizontal line for the x-axis, 9.722 cm laterally for the y-axis, and 14.4795 cm downward for the z-axis.

[0110] Example 2: Figure 2 As shown, a directional well measurement system based on cloud decoding technology is used to implement the method described in Example 1, including: a data acquisition processing module, an angle analysis module, a drill bit estimated position coordinate analysis module, a judgment module, and a coordinate correction module;

[0111] The data acquisition and processing module is used to obtain the drill bit travel data, drill bit status data and drill bit working environment data in the directional well in real time through the cloud platform and perform preprocessing;

[0112] Angle analysis module, used to perform cloud decoding analysis on the pre-processed drill bit travel data and drill bit working environment data in the directional well, and obtain the drill bit inclination angle and drill bit azimuth angle in the directional well;

[0113] The drill bit estimated position coordinate analysis module is used to comprehensively analyze the drill bit status data, drill bit well inclination angle and drill bit azimuth angle in the directional well to obtain the drill bit estimated position coordinates at the next time point in the directional well;

[0114] A judgment module, used to judge whether the estimated position coordinates of the drill bit at the next time point in the directional well meet the expected standards;

[0115] The coordinate correction module is used to analyze the drill bit position and correct the coordinate deviation when the drill bit estimated position coordinates at the next time point in the directional well do not meet the expected standards, and send it to relevant staff.

[0116] Embodiment 3: A directional well measurement device based on cloud decoding technology, used to implement the method described in Embodiment 1, comprising:

[0117] a memory having a computer processing program stored thereon;

[0118] The processor is used to execute the computer processing program in the memory to implement the method described in Example 1.

Claims

1. A directional well measurement method based on cloud decoding technology, characterized in that: The following steps are involved: The cloud platform is used to obtain the drill bit travel data, drill bit status data, and drill bit working environment data in the directional well in real time and perform preprocessing; The pre-processed drill bit travel data and drill bit working environment data in the directional well are respectively subjected to cloud decoding analysis to obtain the drill bit inclination angle and drill bit azimuth angle in the directional well; Comprehensively analyze the drill bit status data, drill bit inclination angle and drill bit azimuth in the directional well to obtain the estimated position coordinates of the drill bit at the next time point in the directional well; Determine whether the estimated position coordinates of the drill bit at the next time point in the directional well meet the expected standards; If the estimated position coordinates of the drill bit at the next time point in the directional well do not meet the expected standards, the drill bit position is analyzed to correct the coordinate deviation and send it to the relevant staff; The drill bit data includes the acceleration component value of the drill bit on the X-axis, the acceleration component value of the drill bit on the Y-axis, and the acceleration component value of the drill bit on the Z-axis. The drill bit status data specifically includes the drill bit travel speed value, the drill bit rotation speed value, the drilling fluid flow rate value, and the drilling fluid pressure value; the drill bit working environment data includes the magnetic field strength value of the drill bit on the X-axis and the magnetic field strength value of the drill bit on the Y-axis; The specific formula for calculating the drill bit inclination angle and drill bit azimuth angle in a directional well is as follows: ； in, is the drill bit inclination angle in directional wells, is the acceleration component of the drill bit on the X-axis, is the acceleration component of the drill bit on the Y axis, is the acceleration component of the drill bit on the Z axis, is the drill bit azimuth in the directional well, is the magnetic field strength value of the drill bit on the X axis, is the magnetic field strength value of the drill bit on the Y axis; The specific steps of obtaining the estimated position coordinates of the drill bit at the next time point in the directional well are as follows: Comprehensively analyze the drill bit status data in the directional well to obtain the drill bit travel speed correction value in the directional well; Comprehensively analyze the drill bit inclination angle and drill bit azimuth in the directional well to obtain the drill bit direction vector in the directional well; Obtain the drill bit position coordinates at the current time point in the directional well, and perform a comprehensive analysis based on the drill bit travel speed correction value and drill bit direction vector in the directional well to obtain the drill bit estimated position coordinates at the next time point in the directional well; The specific steps of calculating the drill bit direction vector in the directional well and the drill bit estimated position coordinates at the next time point are as follows: ； Among them, FxX is the drill bit direction vector in the directional well, XwZ is the estimated drill bit position coordinate at the next time point in the directional well, SwZ is the drill bit position coordinate at the current time point in the directional well, SdX is the drill bit travel speed correction value in the directional well, is the time interval.

2. The directional well measurement method based on cloud decoding technology according to claim 1 is characterized in that: The specific steps of obtaining the correction value of the drill bit travel speed in the directional well are as follows: Normalize the drill bit speed value, drilling fluid flow rate value, and drilling fluid pressure value in the directional well; The drill bit speed value, drilling fluid flow rate value and drilling fluid pressure value in the directional well after normalization are comprehensively analyzed to obtain the influence value of the drill bit travel speed in the directional well; A comprehensive analysis is performed on the drill bit travel speed value and the drill bit travel speed influence value in the directional well to obtain the drill bit travel speed correction value in the directional well.

3. The directional well measurement method based on cloud decoding technology according to claim 2 is characterized in that: The specific formula for calculating the drill bit travel speed influence value and the drill bit travel speed correction value in the directional well is as follows: ； Among them, SdY is the impact value of the drill bit travel speed in the directional well, is the drill bit speed value in the directional well after normalization, α1 is the drill bit speed influence coefficient stored in the database, is the drilling fluid velocity value in the directional well after normalization, α2 is the drilling fluid velocity influence coefficient stored in the database, is the drilling fluid pressure value in the directional well after normalization, α3 is the drilling fluid pressure influence coefficient stored in the database, is a natural constant, and XjS is the drill bit travel speed in the directional well.

4. The directional well measurement method based on cloud decoding technology according to claim 1, characterized in that: The specific steps of analyzing the drill bit position and correcting the coordinate deviation are as follows: Obtaining the preset position coordinates of the drill bit at the next time point in the directional well, and performing coordinate deviation analysis with the estimated position coordinates of the drill bit at the next time point in the directional well to obtain the initial coordinate deviation of the next time point in the directional well; Based on the PID algorithm, the initial coordinate deviation at the next time point in the directional well is comprehensively analyzed to obtain the corrected coordinate deviation of the drill bit position. The calculation formula is as follows: ； Where WxP is the corrected coordinate deviation of the drill bit position, CwP is the initial coordinate deviation at the next time point in the directional well, and K p is the proportional coefficient stored in the database, is the time interval, K i is the integral coefficient stored in the database, K d is the differential coefficient stored in the database, and t is the time variable.

5. A directional well measurement system based on cloud decoding technology, used to implement the directional well measurement method based on cloud decoding technology according to any one of claims 1 to 4, characterized in that: include: Data acquisition processing module, angle analysis module, drill bit estimated position coordinate analysis module, judgment module, coordinate correction module; The data acquisition and processing module is used to obtain the drill bit travel data, drill bit status data and drill bit working environment data in the directional well in real time through the cloud platform and perform preprocessing; Angle analysis module, used to perform cloud decoding analysis on the pre-processed drill bit travel data and drill bit working environment data in the directional well, and obtain the drill bit inclination angle and drill bit azimuth angle in the directional well; The drill bit estimated position coordinate analysis module is used to comprehensively analyze the drill bit status data, drill bit well inclination angle and drill bit azimuth angle in the directional well to obtain the drill bit estimated position coordinates at the next time point in the directional well; A judgment module, used to judge whether the estimated position coordinates of the drill bit at the next time point in the directional well meet the expected standards; The coordinate correction module is used to analyze the drill bit position and correct the coordinate deviation when the drill bit estimated position coordinates at the next time point in the directional well do not meet the expected standards, and send it to relevant staff.

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