Intelligent guide type small-caliber rock core sampling device

Abstract

The invention relates to the technical field of rock core sampling, and provides an intelligent guide type small-caliber rock core sampling device which comprises a supporting base, a sliding sleeve is installed at the top of the supporting base, a control panel is further installed at the top of the supporting base, and the output end of the sliding sleeve is fixedly connected with a drill rod; the sensor module is arranged at the top end of the drill rod and used for sensing and transmitting the position, posture and motion state data of the drill bit in real time; the calibration and maintenance module is connected with the sensor module and provides regular calibration and fault detection means for the sensor module; the system can comprehensively sense the motion state of the drill bit in real time, the motion state comprises information such as position, speed and direction, and a reliable data basis is provided for accurately generating a drilling track. Sensor data are processed and analyzed in real time through an advanced algorithm, the current position and the future track of the drill bit can be accurately calculated, and therefore the drilling precision is greatly improved.

Description

Technical Field

[0001] The invention relates to the technical field of core sampling, in particular to an intelligent guided small-caliber core sampling device. Background Art

[0002] In the field of exploration and development of resources such as oil and natural gas, drilling technology has always been a key core technology. Traditional drilling methods mainly rely on manual experience and simple mechanical control, which is inadequate in complex geological conditions and extreme environments, and there are problems such as large drilling trajectory deviation, low efficiency and high safety risks;

[0003] Although the existing intelligent drilling system has achieved automation and intelligence to a certain extent, it still has many shortcomings. In particular, in terms of drill bit guidance, traditional systems often rely on limited sensor data and simple control algorithms, making it difficult to achieve high-precision drilling trajectory control.

[0004] To this end, those skilled in the art have proposed an intelligent guided small-diameter core sampling device to solve the problems raised by the background technology.

[0005] Invention content

[0006] In order to solve the above technical problems, the present invention provides a new intelligent guided small-diameter core sampling device, which can accurately generate the drilling trajectory of the drill bit through real-time processing and analysis of sensor data through advanced algorithms, and timely adjust the drilling technical parameters such as speed and pressure according to the trajectory deviation to achieve the purpose of precise guidance. This intelligent guidance system not only improves the accuracy and efficiency of drilling, but also greatly reduces safety risks.

[0007] An intelligent guided small-caliber core sampling device comprises a support base, a sliding sleeve is installed on the top of the support base, a control panel is also installed on the top of the support base, and a drill rod is fixedly connected to the output end of the sliding sleeve;

[0008] A sensor module is disposed at the top of the drill rod and is used to sense and transmit the position, posture and motion status data of the drill bit in real time;

[0009] A calibration and maintenance module, which is connected to the sensor module and provides a means for regular calibration and fault detection of the sensor module to ensure the accuracy and stability of sensor data;

[0010] A signal transmission module, which uses a transmission protocol and a transmission medium to ensure stable transmission of sensor data in extreme environments;

[0011] A data processing and analysis module receives and processes data from the signal transmission module, generates a drill bit trajectory in real time through an algorithm, predicts future trajectory trends, and integrates robots and artificial intelligence to improve the intelligence level of data processing;

[0012] A control module that quickly responds and adjusts drilling technical parameters based on the results of the data processing and analysis module to ensure accuracy and efficiency during the drilling process, and also includes adaptive control logic to automatically adjust the control strategy based on drill bit conditions and environmental changes;

[0013] A user interface module, which provides an operation page, displays the status of the drill bit, and real-time information of the drilling progress, so that operators can monitor and control the drilling process;

[0014] The alarm module is connected with the data processing and analysis module and the control module. According to the preset alarm conditions, the alarm module monitors the drilling process in real time and sends out alarm signals in time to ensure the safety of the drilling process.

[0015] Preferably, the sensors in the sensor module specifically include but are not limited to gyroscopes, accelerometers and magnetometers, which are evenly distributed at key positions of the drill bit, at the tip, sides and tail of the drill bit, so as to fully and accurately sense the three-dimensional position, posture and motion state of the drill bit, thereby ensuring the comprehensiveness and accuracy of the data.

[0016] Preferably, the signal transmission module further includes a signal encoding and decoding device, wherein the encoding device performs error correction coding on the transmitted data to improve the anti-interference capability and efficiency of data transmission; the decoding device is arranged at the ground or underground receiving end, and is used to receive the encoded data and restore it to the original data to ensure accurate transmission of the data.

[0017] Preferably, the data processing and analysis module also includes a data preprocessing submodule, which filters and denoises the received sensor data to eliminate noise and interference in the data and improve the accuracy and reliability of data processing; at the same time, the data processing and analysis module also incorporates advanced machine learning and artificial intelligence technologies, and continuously optimizes the data processing algorithm and improves the intelligence level of data processing by learning and analyzing historical data.

[0018] Preferably, the data processing and analysis module also includes a trajectory prediction and optimization submodule, which predicts the future trajectory of the drill bit through an algorithm based on real-time data, drilling geological models and drilling technical parameters, and optimizes and adjusts it according to the target wellbore trajectory to minimize drilling costs and improve drilling efficiency.

[0019] Preferably, the control module further includes a closed-loop control submodule and an open-loop control submodule. The closed-loop control submodule automatically adjusts the drilling parameters to correct the deviation by real-time monitoring of the deviation between the actual trajectory of the drill bit and the predetermined trajectory, thereby ensuring the accuracy of the drilling process; the open-loop control submodule performs drilling control according to the preset drilling plan and parameters, thereby realizing the automation and intelligence of the drilling process.

[0020] Preferably, the user interface module also includes a real-time data display area, a historical data query area and an alarm information prompt area. The real-time data display area is used to display real-time information such as the current status of the drill bit and the drilling progress; the historical data query area allows the operator to query historical drilling data for subsequent analysis and improvement; the alarm information prompt area is used to display alarm information to remind the operator to deal with the alarm event in time.

[0021] Preferably, the alarm module also includes an alarm condition setting function and an alarm history recording function. The alarm condition setting function allows the operator to set alarm conditions according to actual needs, such as the drill bit trajectory deviation range, the drilling parameter abnormal range, etc.; the alarm history recording function records the time, cause and handling measures of all alarm events for subsequent tracing and analysis, thereby optimizing the accuracy and timeliness of the alarm system.

[0022] Compared with the prior art, the new invention has the following beneficial effects:

[0023] 1. The system can sense the movement status of the drill bit in real time and comprehensively, including information such as position, speed, direction, etc., providing a reliable data basis for accurately generating drilling trajectories. Through real-time processing and analysis of sensor data by advanced algorithms, the current position and future trajectory of the drill bit can be accurately calculated, thereby greatly improving the accuracy of drilling.

[0024] 2. The system can monitor the movement status of the drill bit in real time, and promptly detect and warn potential safety hazards, such as drill bit deviation and drill sticking, effectively reducing the safety risks during the drilling process. Through intelligent control, it can avoid safety accidents caused by human factors and ensure the life safety of operators. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the novel three-dimensional structure of the present invention;

[0026] Figure 2 It is a schematic diagram of the system flow structure in the new invention.

[0027] In the figure: 1. Support base; 2. Sliding sleeve; 3. Control panel; 4. Drill rod; 5. Sensor module; 6. Calibration and maintenance module; 7. Signal transmission module; 8. Data processing and analysis module; 9. Control module; 10. User interface module; 11. Alarm module. DETAILED DESCRIPTION

[0028] The following is a further detailed description of the implementation of the present invention in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0029] As attached Figure 1 To Attachment Figure 2 As shown:

[0030] Embodiment 1: According to Figure 1-Figure 2 As shown, the present invention provides a new type of intelligent guided small-diameter core sampling device, including a support base 1, a sliding sleeve 2 is installed on the top of the support base 1, a control board 3 is also installed on the top of the support base 1, and a drill rod 4 is fixedly connected to the output end of the sliding sleeve 2;

[0031] A sensor module 5, which is arranged at the top of the drill rod 4 and is used to sense and transmit the position, posture and motion state data of the drill bit in real time;

[0032] A calibration and maintenance module 6, which is connected to the sensor module 5 and provides a means for regular calibration and fault detection of the sensor module 5 to ensure the accuracy and stability of sensor data;

[0033] A signal transmission module 7, wherein the signal transmission module 7 adopts a transmission protocol and a transmission medium to ensure stable transmission of sensor data in extreme environments;

[0034] A data processing and analysis module 8 receives and processes data from the signal transmission module 7, generates a drill bit trajectory in real time through an algorithm, predicts future trajectory trends, and integrates robots and artificial intelligence to improve the intelligence level of data processing;

[0035] The control module 9 quickly responds and adjusts the drilling technical parameters according to the results of the data processing and analysis module 8 to ensure the accuracy and efficiency of the drilling process, and also includes adaptive control logic to automatically adjust the control strategy according to the drill bit condition and environmental changes;

[0036] A user interface module 10, which provides an operation page, displays the status of the drill bit, and real-time information of the drilling progress, so as to facilitate operators to monitor and control the drilling process;

[0037] An alarm module 11, which is connected to the data processing and analysis module 8 and the control module 9, monitors the drilling process in real time according to preset alarm conditions, and issues an alarm signal in time to ensure the safety of the drilling process;

[0038] Real-time trajectory generation: Input: sensor data (such as position, velocity, acceleration, etc.).

[0039] Algorithms: numerical integration methods (such as the Runge-Kutta method) or curve fitting algorithms (such as polynomial fitting, spline interpolation).

[0040] Output: Real-time trajectory of the drill bit.

[0041] Future trajectory prediction: Input: historical trajectory data, current state, possible control inputs.

[0042] Algorithms: Machine learning prediction models (such as time series analysis, neural networks, long short-term memory networks, etc.).

[0043] Output: prediction of future trajectory.

[0044] Intelligent data processing: Input: raw sensor data.

[0045] Algorithms: data preprocessing (such as filtering, denoising), feature extraction, anomaly detection, etc., combined with robot control algorithms and artificial intelligence technology.

[0046] Output: processed data for real-time trajectory generation and future trajectory prediction;

[0047] Key Algorithms and Formula Types

[0048] Numerical integration method (taking Runge-Kutta method as an example):

[0049] Used to solve differential equations to obtain the real-time position of the drill bit.

[0050] Formula: yn+1=yn+61(k1+2k2+2k3+k4), where k1, k2, k3, k4 are slopes calculated based on the current state and control input.

[0051] is the slope calculated based on the current state and control input;

[0052] Curve fitting algorithm (taking polynomial fitting as an example): used to smooth and interpolate the drill trajectory. Formula: y = a0 + a1x + a2x2 + ... + anxn, where a0, a1, ..., an are fitting coefficients.

[0053] Machine learning prediction model (taking LSTM as an example): used to predict future trajectory trends. Formula: complex, involving multi-layer neural networks and forward / backward propagation algorithms, usually learning model parameters through training data. Data preprocessing algorithm (taking Kalman filtering as an example): used to eliminate noise and interference.

[0054] Formula: x^k=Ax^k-1+Buk+Kk(zk-Hx^k-1), where x^k is the state estimate and Kk is the Kalman gain.

[0055] The sensors in the sensor module 5 specifically include but are not limited to gyroscopes, accelerometers and magnetometers. These sensors are evenly distributed at key positions of the drill bit, at the tip, sides and tail of the drill bit, so as to fully and accurately sense the three-dimensional position, posture and motion state of the drill bit, thereby ensuring the comprehensiveness and accuracy of the data.

[0056] The signal transmission module 7 further includes signal encoding and decoding equipment, wherein the encoding equipment performs error correction encoding processing on the transmitted data to improve the anti-interference ability and efficiency of data transmission; the decoding equipment is arranged at the ground or underground receiving end, and is used to receive the encoded data and restore it to the original data to ensure the accurate transmission of the data.

[0057] The data processing and analysis module 8 also includes a data preprocessing submodule, which performs filtering and denoising on the received sensor data, eliminates noise and interference in the data, and improves the accuracy and reliability of data processing; at the same time, the data processing and analysis module also incorporates advanced machine learning and artificial intelligence technologies, continuously optimizes the data processing algorithm through learning and analysis of historical data, and improves the intelligent level of data processing. The data processing and analysis module 8 also includes a trajectory prediction and optimization submodule, which predicts the future trajectory of the drill bit through an algorithm based on real-time data, drilling geological models and drilling technical parameters, and optimizes and adjusts according to the target wellbore trajectory to minimize drilling costs and improve drilling efficiency;

[0058] Filtering algorithm: Use Kalman filtering or extended Kalman filtering algorithm to filter the raw data to eliminate noise and interference.

[0059] Kalman filter formula

[0060] x k =Ax k -1+Buk+Kk(zk-Hx k -1)

[0061] Among them, xk is the state estimate at the kth moment, A is the state transfer matrix, B is the control matrix, uk is the control input, Kk is the Kalman gain, zk is the observation value, and H is the observation matrix.

[0062] Denoising algorithm: Algorithms such as wavelet transform may be used to denoise the signal to improve the purity of the data. The basic idea of ​​wavelet denoising is to use wavelet transform to decompose the signal into different scales, then perform threshold processing on the coefficients at each scale, and finally reconstruct the signal through inverse wavelet transform;

[0063] Trajectory deviation calculation and adjustment algorithm:

[0064] Trajectory deviation calculation: The deviation between the actual trajectory and the expected trajectory is calculated using metrics such as Euclidean distance or Hausdorff distance.

[0065]

[0066] Where d is the Euclidean distance between two points, (x1, y1, z1) and (x2, y2, z2) are points on the actual trajectory and the planned trajectory, respectively. Adjustment algorithm: Based on the deviation calculation results, the proportional-integral-differential (PID) control algorithm or fuzzy control algorithm is used to adjust the drilling technical parameters, such as speed and pressure.

[0067] PID control algorithm formula:

[0068]

[0069] Among them, u(t) is the control output, e(t) is the deviation, Kp, Ki, and Kd are the proportional, integral, and differential coefficients respectively.

[0070] The control module 9 further includes a closed-loop control submodule and an open-loop control submodule. The closed-loop control submodule automatically adjusts the drilling parameters to correct the deviation by real-time monitoring of the deviation between the actual trajectory of the drill bit and the predetermined trajectory, thereby ensuring the accuracy of the drilling process; the open-loop control submodule performs drilling control according to the preset drilling plan and parameters, thereby realizing the automation and intelligence of the drilling process.

[0071] The user interface module 10 also includes a real-time data display area, a historical data query area and an alarm information prompt area. The real-time data display area is used to display real-time information such as the current status of the drill bit and the drilling progress; the historical data query area allows operators to query historical drilling data for subsequent analysis and improvement; the alarm information prompt area is used to display alarm information to remind operators to handle alarm events in a timely manner.

[0072] The alarm module 11 also includes an alarm condition setting function and an alarm history recording function. The alarm condition setting function allows the operator to set alarm conditions according to actual needs, such as drill bit trajectory deviation range, drilling parameter abnormal range, etc.; the alarm history recording function records the time, cause and treatment measures of all alarm events for subsequent tracing and analysis, thereby optimizing the accuracy and timeliness of the alarm system.

[0073] The standard parts used in the invention can be purchased from the market, and the special-shaped parts can be customized according to the description and the drawings. The specific connection methods of each part adopt conventional means such as mature bolts, rivets, welding, etc. in the prior art. The machinery, parts and equipment all adopt conventional models in the prior art, and the circuit connection adopts the conventional connection method in the prior art, which will not be described in detail here. The contents not described in detail in this specification belong to the prior art known to professional and technical personnel in this field.

[0074] In the description of the novel invention, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include one or more of the features. "Multiple" means two or more, unless otherwise clearly specified.

[0075] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0076] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0077] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the novel invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in a suitable manner in any one or more embodiments or examples. In addition, those skilled in the art may combine and combine the different embodiments or examples and the features of the different embodiments or examples described in this specification without contradiction.

[0078] In the drawings of the disclosed embodiments of the present invention, only the structures related to the disclosed embodiments are involved, and other structures can refer to the usual design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other.

[0079] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art may still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent guided small-caliber core sampling device, characterized in that: It comprises a support base (1), a sliding sleeve (2) is installed on the top of the support base (1), a control panel (3) is also installed on the top of the support base (1), and a drill rod (4) is fixedly connected to the output end of the sliding sleeve (2); A sensor module (5), the sensor module (5) being arranged at the top end of the drill rod (4) and being used for sensing and transmitting the position, posture and motion state data of the drill bit in real time; A calibration and maintenance module (6), wherein the calibration and maintenance module (6) is connected to the sensor module (5) and provides a means for regular calibration and fault detection of the sensor module (5) to ensure the accuracy and stability of sensor data; A signal transmission module (7), wherein the signal transmission module (7) adopts a transmission protocol and a transmission medium to ensure stable transmission of sensor data in extreme environments; A data processing and analysis module (8), wherein the data processing and analysis module (8) receives and processes data from the signal transmission module (7), generates a drill bit trajectory in real time through an algorithm, predicts future trajectory trends, and integrates robots and artificial intelligence to improve the intelligence level of data processing; A control module (9) which quickly responds to and adjusts drilling technical parameters according to the results of the data processing and analysis module (8) to ensure accuracy and efficiency during the drilling process, and also includes adaptive control logic to automatically adjust the control strategy according to the drill bit condition and environmental changes; A user interface module (10), wherein the user interface module (10) provides an operation page, displays the status of the drill bit, and real-time information of the drilling progress, so as to facilitate operators to monitor and control the drilling process; An alarm module (11) is connected to the data processing and analysis module (8) and the control module (9), and monitors the drilling process in real time according to preset alarm conditions, and issues an alarm signal in a timely manner to ensure the safety of the drilling process.

2. An intelligent guided small-caliber core sampling device as claimed in claim 1, characterized in that: The sensors in the sensor module (5) specifically include, but are not limited to, gyroscopes, accelerometers and magnetometers. These sensors are evenly distributed at key locations of the drill bit, such as the tip, sides and tail of the drill bit, so as to fully and accurately sense the three-dimensional position, posture and motion state of the drill bit, thereby ensuring the comprehensiveness and accuracy of the data.

3. The intelligent guided small-diameter core sampling device according to claim 1, characterized in that: The signal transmission module (7) further comprises a signal encoding and decoding device, wherein the encoding device performs error correction encoding processing on the transmitted data to improve the anti-interference capability and efficiency of data transmission; and the decoding device is arranged at the ground or underground receiving end to receive the encoded data and restore it to the original data to ensure accurate transmission of the data.

4. The intelligent guided small-caliber core sampling device according to claim 1, characterized in that: The data processing and analysis module (8) also includes a data preprocessing submodule, which performs filtering and denoising on the received sensor data, eliminates noise and interference in the data, and improves the accuracy and reliability of data processing; at the same time, the data processing and analysis module also incorporates advanced machine learning and artificial intelligence technologies, continuously optimizes the data processing algorithm through learning and analyzing historical data, and improves the intelligent level of data processing.

5. The intelligent guided small-diameter core sampling device according to claim 1, characterized in that: The data processing and analysis module (8) also includes a trajectory prediction and optimization submodule, which predicts the future trajectory of the drill bit through an algorithm based on real-time data, drilling geological models and drilling technical parameters, and optimizes and adjusts the target wellbore trajectory to minimize drilling costs and improve drilling efficiency.

6. The intelligent guided small-caliber core sampling device according to claim 1, characterized in that: The control module (9) further comprises a closed-loop control submodule and an open-loop control submodule, wherein the closed-loop control submodule automatically adjusts drilling parameters to correct the deviation by real-time monitoring of the deviation between the actual trajectory of the drill bit and the predetermined trajectory, thereby ensuring the accuracy of the drilling process; The open-loop control submodule performs drilling control according to the preset drilling plan and parameters, realizing the automation and intelligence of the drilling process.

7. The intelligent guided small-diameter core sampling device according to claim 1, characterized in that: The user interface module (10) further comprises a real-time data display area, a historical data query area and an alarm information prompt area. The real-time data display area is used to display real-time information such as the current state of the drill bit and the drilling progress; the historical data query area allows operators to query historical drilling data for subsequent analysis and improvement; and the alarm information prompt area is used to display alarm information to remind operators to handle alarm events in a timely manner.

8. The intelligent guided small-caliber core sampling device according to claim 1, characterized in that: The alarm module (11) also includes an alarm condition setting function and an alarm history recording function. The alarm condition setting function allows the operator to set alarm conditions according to actual needs, such as drill bit trajectory deviation range, drilling parameter abnormal range, etc.; the alarm history recording function records the time, cause and treatment measures of all alarm events for subsequent tracing and analysis, thereby optimizing the accuracy and timeliness of the alarm system.

Images