Comprehensive logging instrument detection system and method

Abstract

The invention relates to the technical field of oil exploration and development, and particularly discloses a comprehensive logging instrument detection system and method.The system comprises an intelligent detection device, a high-fidelity signal distribution device and a data processing device; the high-fidelity signal distribution device is used for receiving original monitoring data, collected by the comprehensive logging instrument to be tested, of a target drilling well, processing the original monitoring data, obtaining first monitoring data and sending the first monitoring data to the data processing device; the intelligent detection device is used for collecting second monitoring data of the target drilling well and sending the second monitoring data to the data processing device; and the data processing device is used for comparing the first monitoring data with the second monitoring data to obtain a detection result of the to-be-detected comprehensive logging instrument. According to the invention, real-time intelligent monitoring of the comprehensive logging instrument can be realized, the data accuracy and the operation efficiency of the comprehensive logging instrument can be improved, and a reliable basis is provided for oil-gas exploration operation.

Description

Technical Field

[0001] The invention relates to the technical field of petroleum exploration and development, and in particular to a comprehensive logging instrument detection system and method. Background Art

[0002] In the process of oil exploration and development, the comprehensive mud logger is an indispensable and important equipment in the oil drilling process. It is used to monitor the geological parameters, drilling parameters and engineering parameters in real time during the drilling process. Its accuracy and stability directly affect the safety and efficiency of the exploration operation. However, the traditional mud logger detection system has problems such as limited monitoring parameters, low data processing efficiency, inconvenient remote monitoring and cumbersome calibration process, which cannot meet the high requirements of modern oil and gas exploration operations.

[0003] Therefore, it is urgent to provide a technical solution to solve the above problems. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a comprehensive logging instrument detection system and method.

[0005] In a first aspect, the present invention provides a comprehensive logging instrument detection system, the technical solution of the system is as follows:

[0006] A comprehensive logging instrument detection system, comprising: an intelligent detection device, a high-fidelity signal distribution device and a data processing device;

[0007] The high-fidelity signal distribution device is used to: receive the original monitoring data of the target well collected by the comprehensive logging instrument to be tested, and process the original monitoring data to obtain the first monitoring data and send it to the data processing device;

[0008] The intelligent detection device is used to: collect the second monitoring data of the target drilling and send it to the data processing device;

[0009] The data processing device is used to compare the first monitoring data with the second monitoring data to obtain the detection result of the comprehensive logging instrument to be tested.

[0010] The beneficial effects of the comprehensive logging instrument detection system of the present invention are as follows:

[0011] The system of the present invention can realize real-time intelligent monitoring of the comprehensive mud logging instrument, which is helpful to improve the data accuracy and operation efficiency of the comprehensive mud logging instrument and provide a reliable basis for oil and gas exploration operations.

[0012] On the basis of the above scheme, the comprehensive logging instrument detection system of the present invention can also be improved as follows.

[0013] In an optional manner, the device further includes: a remote monitoring device; the remote monitoring device is used to:

[0014] receiving the detection result sent by the data processing device;

[0015] When there is an abnormality in the detection result, an alarm message is output.

[0016] In an optional manner, the method further includes: an auxiliary calibration device; the auxiliary calibration device is used to:

[0017] When the detection result is abnormal, the comprehensive logging instrument to be tested is calibrated.

[0018] In an optional manner, the data processing device is specifically used for:

[0019] Determine whether a difference between the first monitoring data and the second monitoring data is greater than a first threshold, and obtain a first determination result;

[0020] When the first judgment result is yes, it is determined that the detection result is abnormal.

[0021] In an optional manner, the data processing device is specifically used for:

[0022] Determine whether at least one of the first monitoring data and the second monitoring data is greater than a second threshold, and obtain a second determination result;

[0023] When the second judgment result is yes, it is determined that the detection result is abnormal.

[0024] In an optional manner, the alarm information is at least one of voice alarm information, text alarm information and light alarm information.

[0025] In an optional manner, the intelligent detection device includes: a winch sensor, a pressure sensor, a temperature sensor and an electric torque sensor.

[0026] In an optional manner, the high-fidelity signal distribution device includes: a sensor interface module, a signal processing module, a communication module and a signal distribution module;

[0027] The sensor interface module is used to: receive the original monitoring data of the target well collected by the sensor in the comprehensive logging instrument to be tested;

[0028] The signal processing module is used to: amplify, filter and linearize the original monitoring data to obtain the first monitoring data;

[0029] The signal distribution module is used to: distribute the first monitoring data to at least one output port;

[0030] The communication module is used to send the first monitoring data to the data processing device through the at least one output port and in a wired transmission manner or a wireless transmission manner.

[0031] In an optional manner, the high-fidelity signal distribution device further includes: a power management module; the power management module is used to: supply power to each module of the high-fidelity signal distribution device.

[0032] In a second aspect, the present invention provides a comprehensive logging instrument detection method, the technical solution of the method is as follows:

[0033] The high-fidelity signal distribution device receives the original monitoring data of the target well collected by the comprehensive logging instrument to be tested, processes the original monitoring data, obtains the first monitoring data and sends it to the data processing device;

[0034] The intelligent detection device collects the second monitoring data of the target well and sends it to the data processing device;

[0035] The data processing device compares the first monitoring data with the second monitoring data to obtain the detection result of the comprehensive logging instrument to be tested.

[0036] The beneficial effects of the comprehensive logging instrument detection method of the present invention are as follows:

[0037] The method of the present invention can realize real-time intelligent monitoring of the comprehensive mud logging instrument, help to improve the data accuracy and operation efficiency of the comprehensive mud logging instrument, and provide a reliable basis for oil and gas exploration operations.

[0038] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present invention. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings. In the accompanying drawings:

[0040] Figure 1 It is a structural schematic diagram of a first embodiment of a comprehensive logging instrument detection system of the present invention;

[0041] Figure 2 It is a structural schematic diagram of a second embodiment of a comprehensive logging instrument detection system of the present invention;

[0042] Figure 3 It is a schematic diagram of the interface of the remote monitoring device;

[0043] Figure 4 It is a structural schematic diagram of a third embodiment of a comprehensive logging instrument detection system of the present invention;

[0044] Figure 5 It is a structural schematic diagram of a high-fidelity signal distribution device;

[0045] Figure 6 The present invention is a flowchart of an embodiment of a comprehensive logging instrument detection method. DETAILED DESCRIPTION

[0046] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0047] Figure 1 FIG. 1 shows a first structural schematic diagram of an embodiment of a comprehensive logging instrument detection system 10 provided by the present invention. Figure 1 As shown, the system 10 includes: an intelligent detection device 11, a high-fidelity signal distribution device 12 and a data processing device 13.

[0048] The high-fidelity signal distribution device 12 is used to receive the original monitoring data of the target well collected by the comprehensive logging instrument 20 to be tested, and process the original monitoring data to obtain the first monitoring data and send it to the data processing device 13 .

[0049] Among them, the comprehensive logging instrument 20 to be tested is the comprehensive logging instrument that needs to be tested in this embodiment. The target drilling is the drilling monitored by the comprehensive logging instrument 20 to be tested, and the comprehensive logging instrument 20 to be tested is specifically used to monitor the geological parameters, drilling parameters and engineering parameters during the target drilling process. The original monitoring data is the monitoring data of the target drilling directly collected by the high-fidelity signal distribution device 12. The monitoring data includes but is not limited to: pressure, temperature, electric torque, etc. The first monitoring data is the data after processing the original monitoring data, and the processing method includes but is not limited to: amplification, filtering, linearization and other processing.

[0050] It should be noted that the intelligent detection device 11 is installed at a key monitoring point of the comprehensive mud logging instrument 20 to be tested, so as to ensure a correct connection between the intelligent detection device 11 and the comprehensive mud logging instrument to be tested and the data processing device 13 .

[0051] The intelligent detection device 11 is used to collect second monitoring data of the target wellbore and send the data to the data processing device 13 .

[0052] Among them, the second monitoring data is the monitoring data of the target drilling directly collected by the intelligent detection device 11.

[0053] The data processing device 13 is used to compare the first monitoring data with the second monitoring data to obtain the detection result of the comprehensive logging instrument 20 to be tested.

[0054] The data processing device 13 performs data collection based on PLC and TCP / IP protocol to obtain first monitoring data and second monitoring data. According to the difference between the first monitoring data and the second monitoring data, it is determined whether the detection result of the comprehensive logging instrument 20 to be tested is abnormal.

[0055] The technical solution of this embodiment can realize real-time intelligent monitoring of the comprehensive mud logging instrument, help to improve the data accuracy and operation efficiency of the comprehensive mud logging instrument, and provide a reliable basis for oil and gas exploration operations.

[0056] Figure 2 FIG. 2 shows a second structural schematic diagram of an embodiment of a comprehensive logging instrument detection system 10 provided by the present invention. Figure 2 As shown, the system 10 includes: an intelligent detection device 11, a high-fidelity signal distribution device 12, a data processing device 13 and a remote monitoring device 14.

[0057] The high-fidelity signal distribution device 12 is used to receive the original monitoring data of the target well collected by the comprehensive logging instrument 20 to be tested, and process the original monitoring data to obtain the first monitoring data and send it to the data processing device 13 .

[0058] The intelligent detection device 11 is used to collect second monitoring data of the target wellbore and send the data to the data processing device 13 .

[0059] The data processing device 13 is used to compare the first monitoring data with the second monitoring data to obtain the detection result of the comprehensive logging instrument 20 to be tested.

[0060] Specifically, the data processing device 13 is used for:

[0061] 1) Determine whether the difference between the first monitoring data and the second monitoring data is greater than a first threshold value to obtain a first judgment result; when the first judgment result is yes, determine that the detection result is abnormal.

[0062] The first threshold value may be set according to actual conditions, such as 5%, and is not limited here.

[0063] It should be noted that when the first judgment result is no, it is determined that there is no abnormality in the detection result, and no alarm is required at this time.

[0064] 2) Determine whether at least one of the first monitoring data and the second monitoring data is greater than a second threshold value, and obtain a second determination result; when the second determination result is yes, determine that the detection result is abnormal.

[0065] The second threshold value may be set according to actual conditions, taking the pressure value as an example, such as 100 KPa, which is not limited here.

[0066] It should be noted that the data processing device 13 summarizes and analyzes the monitoring data, automatically generates a detection report, and displays it to the operator through the remote monitoring device 14.

[0067] The remote monitoring device 14 is used to: receive the detection result sent by the data processing device 13; and output alarm information when there is an abnormality in the detection result.

[0068] The alarm information is at least one of voice alarm information, text alarm information and light alarm information. The remote monitoring device 14 can be a computer, tablet, mobile phone or other intelligent terminal, or a server group set according to the needs, and there is no limitation here. The alarm information is sent to the terminal device of the operator by default.

[0069] It should be noted that the remote monitoring device 14 performs initialization settings on the comprehensive logging instrument detection system 10, including sensor sensitivity adjustment, calibration parameter input, etc. Figure 3 As shown, the interface of the remote monitoring device 14 includes: a title bar, a menu bar, a toolbar, a real-time monitoring area, a real-time monitoring area, a data recording area, a status bar, etc. It adopts an intuitive graphical design to facilitate a quick understanding of the on-site situation, and has functions such as real-time monitoring, alarm prompts, data query, and data analysis.

[0070] The technical solution of this embodiment can further realize the monitoring and early warning of the comprehensive mud logging instrument, which helps to improve the data accuracy and operation efficiency of the comprehensive mud logging instrument and provide a reliable basis for oil and gas exploration operations.

[0071] Figure 4 FIG. 3 is a third structural schematic diagram of an embodiment of a comprehensive logging instrument detection system 10 provided by the present invention. Figure 4 As shown, the system 10 includes: an intelligent detection device 11, a high-fidelity signal distribution device 12, a data processing device 13, a remote monitoring device 14 and an auxiliary calibration device 15.

[0072] The high-fidelity signal distribution device 12 is used to receive the original monitoring data of the target well collected by the comprehensive logging instrument 20 to be tested, and process the original monitoring data to obtain the first monitoring data and send it to the data processing device 13 .

[0073] The intelligent detection device 11 is used to collect second monitoring data of the target wellbore and send the data to the data processing device 13 .

[0074] The data processing device 13 is used to compare the first monitoring data with the second monitoring data to obtain the detection result of the comprehensive logging instrument 20 to be tested.

[0075] The remote monitoring device 14 is used to: receive the detection result sent by the data processing device 13; and output alarm information when there is an abnormality in the detection result.

[0076] The auxiliary calibration device 15 is used to calibrate the comprehensive logging instrument 20 to be tested when the test result is abnormal.

[0077] The auxiliary calibration device 15 includes two modes: automatic calibration and manual calibration, and is used to accurately calibrate the sensors in the comprehensive logging instrument 20 to be tested.

[0078] The technical solution of this embodiment can further realize the monitoring, early warning and calibration of the comprehensive mud logging instrument, which helps to improve the data accuracy and operation efficiency of the comprehensive mud logging instrument and provide a reliable basis for oil and gas exploration operations.

[0079] Based on any of the above embodiments, the intelligent detection device 11 includes: a winch sensor, a pressure sensor, a temperature sensor and an electric torque sensor.

[0080] Among them, the winch sensor is used to monitor the winch status during drilling. The pressure sensor is used to monitor the wellbore pressure during drilling. The temperature sensor is used to monitor the wellbore temperature during drilling. The electric torque sensor is used to monitor the electric torque during drilling.

[0081] It should be noted that the sensor types included in the intelligent detection device 11 are not limited to the sensor types listed above, and the sensor types included in the intelligent detection device 11 at least need to include the sensor types in the comprehensive logging instrument 20 to be tested.

[0082] Based on any of the above embodiments, Figure 5 As shown, the high-fidelity signal distribution device 12 includes: a sensor interface module 121 , a signal processing module 122 , a signal distribution module 123 and a communication module 124 .

[0083] The sensor interface module 121 is used to receive the original monitoring data of the target well collected by the sensor in the comprehensive logging instrument 20 to be tested.

[0084] The sensor interface module 121 is connected to the sensor in the comprehensive logging instrument 20 to be tested, and receives the original signal (original monitoring data) output by the sensor. The interface types include analog signal interface (such as voltage and current interface) and digital signal interface (such as RS485, CAN bus interface, etc.).

[0085] The signal processing module 122 is used to amplify, filter and linearize the original monitoring data to obtain first monitoring data.

[0086] The signal processing module 122 includes components such as amplifiers, filters, and linearization circuits, and performs amplification, filtering, and linearization processing on the original monitoring data to improve the stability and accuracy of the signal.

[0087] The signal distribution module 123 is used to distribute the first monitoring data to at least one output port.

[0088] The signal distribution module 123 includes components such as a signal distributor and a multiplexer. The signal distribution module 123 distributes the first monitoring data to at least one output port to achieve signal sharing and multi-point monitoring.

[0089] The communication module 124 is used to send the first monitoring data to the data processing device 13 through at least one output port and in a wired transmission manner or a wireless transmission manner.

[0090] The communication module 124 includes: a communication interface circuit (such as an Ethernet interface, a USB interface, a wireless communication module, etc.) and a communication protocol processing circuit. The receiving end corresponding to the communication module 124 is the data processing device 13.

[0091] In an optional manner, the high-fidelity signal distribution device 12 further includes: a power management module 125 ; the power management module 125 is used to: supply power to each module of the high-fidelity signal distribution device 12 .

[0092] The power management module 125 provides a stable power supply for the entire device and includes functions such as power protection and power filtering.

[0093] It should be noted that the high-fidelity signal distribution device 12 also includes a shell 126. The shell 126 adopts a waterproof and dustproof design and can adapt to harsh outdoor working environments. The shell 126 is used to protect internal circuits and components to prevent interference and damage from the external environment. The connectors are made of high-strength, corrosion-resistant materials to ensure stable signal transmission. The connectors are used to connect various modules and components to ensure stable signal transmission.

[0094] Figure 6 FIG. 2 is a flow chart showing an embodiment of a comprehensive logging instrument detection method provided by the present invention. Figure 6 As shown, the method comprises the following steps:

[0095] S1, the high-fidelity signal distribution device receives the original monitoring data of the target well collected by the comprehensive logging instrument to be tested, processes the original monitoring data, obtains the first monitoring data and sends it to the data processing device;

[0096] S2, the intelligent detection device collects the second monitoring data of the target drilling and sends it to the data processing device;

[0097] S3. The data processing device compares the first monitoring data with the second monitoring data to obtain the detection result of the comprehensive logging instrument to be tested.

[0098] In an optional manner, the method further includes:

[0099] The remote monitoring device receives the detection result sent by the data processing device;

[0100] When there is an abnormality in the detection result, the remote monitoring device outputs an alarm message.

[0101] In an optional manner, the method further includes:

[0102] When the test results are abnormal, the auxiliary calibration device calibrates the comprehensive logging instrument to be tested.

[0103] In an optional manner, the step of the data processing device comparing the first monitoring data with the second monitoring data to obtain the detection result of the comprehensive mud logging instrument to be tested includes:

[0104] The data processing device determines whether the difference between the first monitoring data and the second monitoring data is greater than a first threshold value, and obtains a first determination result;

[0105] When the first judgment result is yes, the data processing device determines that there is an abnormality in the detection result.

[0106] In an optional manner, the step of the data processing device comparing the first monitoring data with the second monitoring data to obtain the detection result of the comprehensive mud logging instrument to be tested includes:

[0107] The data processing device determines whether at least one of the first monitoring data and the second monitoring data is greater than a second threshold value, and obtains a second determination result;

[0108] When the second judgment result is yes, the data processing device determines that there is an abnormality in the detection result.

[0109] In an optional manner, the alarm information is at least one of: voice alarm information, text alarm information and light alarm information.

[0110] In an optional manner, the intelligent detection device includes: a winch sensor, a pressure sensor, a temperature sensor and an electric torque sensor.

[0111] In an optional manner, the high-fidelity signal distribution device includes: a sensor interface module, a signal processing module, a communication module and a signal distribution module; the high-fidelity signal distribution device receives the original monitoring data of the target drilling collected by the comprehensive logging instrument to be tested, processes the original monitoring data, obtains the first monitoring data and sends it to the data processing device, including:

[0112] The sensor interface module receives the original monitoring data of the target well collected by the sensor in the comprehensive logging instrument to be tested;

[0113] The signal processing module amplifies, filters and linearizes the original monitoring data to obtain first monitoring data;

[0114] The signal distribution module distributes the first monitoring data to at least one output port;

[0115] The communication module sends the first monitoring data to the data processing device through at least one output port and in a wired transmission mode or a wireless transmission mode.

[0116] In an optional manner, the high-fidelity signal distribution device further includes: a power management module; the power management module supplies power to each module of the high-fidelity signal distribution device.

[0117] The technical solution of this embodiment can realize real-time intelligent monitoring of the comprehensive mud logging instrument, help to improve the data accuracy and operation efficiency of the comprehensive mud logging instrument, and provide a reliable basis for oil and gas exploration operations.

[0118] For the corresponding functions implemented by the various parameters and steps in the above-mentioned comprehensive mud logging instrument detection method of this embodiment, reference may be made to the various parameters and modules in the above-mentioned embodiment of the comprehensive mud logging instrument detection system, and no further description will be given here.

[0119] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. Similarly, in order to simplify the present invention and help understand one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, the various features of the embodiments of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. Wherein, the claims that follow the specific embodiment are hereby expressly incorporated into the specific embodiment, wherein each claim itself is a separate embodiment of the present invention.

[0120] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc. does not indicate any order. These words may be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be understood as limitations on the order of execution.

Claims

1. A comprehensive logging instrument detection system, characterized in that: include: Intelligent detection device, high-fidelity signal distribution device and data processing device; The high-fidelity signal distribution device is used to: receive the original monitoring data of the target well collected by the comprehensive logging instrument to be tested, and process the original monitoring data to obtain the first monitoring data and send it to the data processing device; The intelligent detection device is used to: collect the second monitoring data of the target drilling and send it to the data processing device; The data processing device is used to compare the first monitoring data with the second monitoring data to obtain the detection result of the comprehensive logging instrument to be tested.

2. The comprehensive logging instrument detection system according to claim 1, characterized in that: return It includes: a remote monitoring device; the remote monitoring device is used for: receiving the detection result sent by the data processing device; When there is an abnormality in the detection result, an alarm message is output.

3. The comprehensive logging instrument detection system according to claim 2, characterized in that: Also includes: Auxiliary calibration device; the auxiliary calibration device is used for: When the detection result is abnormal, the comprehensive logging instrument to be tested is calibrated.

4. The comprehensive logging instrument detection system according to claim 2, characterized in that: The data processing device is specifically used for: Determine whether a difference between the first monitoring data and the second monitoring data is greater than a first threshold, and obtain a first determination result; When the first judgment result is yes, it is determined that the detection result is abnormal.

5. The comprehensive logging instrument detection system according to claim 2, characterized in that: The data processing device is specifically used for: Determine whether at least one of the first monitoring data and the second monitoring data is greater than a second threshold, and obtain a second determination result; When the second judgment result is yes, it is determined that the detection result is abnormal.

6. The comprehensive logging instrument detection system according to any one of claims 2 to 5, characterized in that: The alarm information is at least one of voice alarm information, text alarm information and light alarm information.

7. The comprehensive logging instrument detection system according to claim 1, characterized in that: The intelligent detection device includes: a winch sensor, a pressure sensor, a temperature sensor and an electric torque sensor.

8. The comprehensive logging instrument detection system according to claim 1, characterized in that: The high-fidelity signal distribution device includes: a sensor interface module, a signal processing module, a communication module and a signal distribution module; The sensor interface module is used to: receive the original monitoring data of the target well collected by the sensor in the comprehensive logging instrument to be tested; The signal processing module is used to: amplify, filter and linearize the original monitoring data to obtain the first monitoring data; The signal distribution module is used to: distribute the first monitoring data to at least one output port; The communication module is used to send the first monitoring data to the data processing device through the at least one output port and in a wired transmission manner or a wireless transmission manner.

9. The comprehensive logging instrument detection system according to claim 8, characterized in that: The high-fidelity signal distribution device further comprises: a power management module; the power management module is used to supply power to each module of the high-fidelity signal distribution device.

10. A comprehensive logging instrument detection method, characterized in that: include: The high-fidelity signal distribution device receives the original monitoring data of the target well collected by the comprehensive logging instrument to be tested, processes the original monitoring data, obtains the first monitoring data and sends it to the data processing device; The intelligent detection device collects the second monitoring data of the target well and sends it to the data processing device; The data processing device compares the first monitoring data with the second monitoring data to obtain the detection result of the comprehensive logging instrument to be tested.

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