Drilling pressure monitoring system based on multi-modal information fusion

Abstract

The invention discloses a borehole pressure monitoring system based on multi-modal information fusion, and particularly relates to the technical field of multi-modal information fusion. Comprising a drilling pressure monitoring area division module, a multi-modal information data acquisition module, a multi-modal information data analysis module, a drilling pressure multi-modal information fusion module, a drilling pressure monitoring and early warning module and a drilling pressure monitoring man-machine interaction module. The drilling pressure monitoring area division module is used for taking drilling operation as a target area and dividing the target area into a plurality of monitoring sub-areas according to equal time periods; according to the method, the pressure-rock type parameter is analyzed to obtain an index to evaluate the influence degree of the rock type on the drilling pressure, and in the multi-modal information fusion process, the fusion algorithm and parameters can be adjusted according to different rock types, so that the method can better adapt to the mechanical properties and drilling pressure response characteristics of different rocks, and the method has good application prospects. And the accuracy and the reliability of drilling pressure monitoring are further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of multimodal information fusion, and in particular to a borehole pressure monitoring system based on multimodal information fusion. Background Art

[0002] Multimodal information fusion refers to a technical method that combines data from different modalities (such as vision, hearing, text, etc.) to improve information processing and comprehension capabilities. In borehole pressure monitoring, multimodal information fusion may involve fusing data from different sensors (such as pressure sensors, temperature sensors, vibration sensors, etc.) to obtain a more comprehensive and accurate monitoring of borehole pressure, which is of great significance for ensuring the safety of drilling operations and improving drilling efficiency.

[0003] Traditional borehole pressure monitoring technology mainly relies on a single type of sensor and manual observation to obtain pressure data inside the borehole. It has problems such as limited information, limited monitoring accuracy, poor timeliness, and a large amount of manpower and time costs. It is difficult to fully and accurately reflect the pressure changes inside the borehole. In geological engineering and geotechnical engineering, accurate monitoring of borehole pressure is of great significance for evaluating the stability of geological structures and the safety of underground resource mining.

[0004] Therefore, the present invention proposes a borehole pressure monitoring system based on multimodal information fusion to solve the above problems. First, the multimodal information affecting the pressure in the borehole is monitored in real time through sensor technology; then, the multimodal information is deeply mined and analyzed through big data technology; finally, the multimodal information is fused through multimodal information fusion technology to improve the accuracy and reliability of borehole pressure monitoring. Then, by real-time monitoring of the pressure changes in the borehole, engineers can adjust the drilling parameters in time to avoid accidents caused by abnormal formation pressure; at the same time, borehole pressure monitoring can also provide important geological information for drilling projects, which helps to reduce exploration and development costs and improve the accuracy and reliability of geological exploration. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a borehole pressure monitoring system based on multi-modal information fusion to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solutions: a borehole pressure monitoring system based on multimodal information fusion, comprising a borehole pressure monitoring area division module, a multimodal information data acquisition module, a multimodal information data analysis module, a borehole pressure multimodal information fusion module, a borehole pressure monitoring and early warning module, and a borehole pressure monitoring human-computer interaction module;

[0007] The drilling pressure monitoring area division module is used to take the drilling operation as the target area, and divide the target area into a number of monitoring sub-areas according to equal time periods, which are sequentially recorded as 1, 2, 3, ..., i, ..., n;

[0008] The multimodal information data acquisition module is used to collect data on multimodal physical parameters in the borehole through a variety of sensors, obtain various monitoring parameters of the borehole pressure monitoring index of the multimodal information fusion, and output the various monitoring parameters to the multimodal information data analysis module;

[0009] The multimodal information data analysis module includes a pressure-rock type fusion index analysis unit, a pressure-drilling equipment fusion index analysis unit, a pressure-temperature change fusion index analysis unit, and a pressure-mud performance fusion index analysis unit, and outputs the analysis results to the drilling pressure multimodal information fusion module;

[0010] The drilling pressure multimodal information fusion module is used to fuse the multimodal information fusion index obtained by the data analysis module with the drilling pressure through the multimodal information fusion technology, and then output the fusion result to the drilling pressure monitoring and early warning module;

[0011] The drilling pressure monitoring and early warning module is used to compare the multi-modal information obtained by the fusion module with the threshold value to monitor the drilling pressure. When the pressure change exceeds the threshold value, it automatically sends an early warning signal to the drilling pressure monitoring human-computer interaction module;

[0012] The drilling pressure monitoring human-computer interaction module is used to receive the warning signal of the monitoring and early warning module, and output the warning signal to the engineering manager information terminal.

[0013] Preferably, the monitoring parameters in the multimodal information data acquisition module include target area information, engineering administrator identity authentication information, pressure-rock type parameters, pressure-drilling equipment parameters, pressure-temperature change parameters and pressure-mud performance parameters, wherein the pressure-rock type parameters specifically include the number of drilling pressure sampling points, the number of sampling point spectra, the amplitude of the pressure frequency points and the amplitude of the rock frequency points; the pressure-drilling equipment parameters specifically include the number of sampling points, the difference between the maximum and minimum pressure values ​​of the sampling points, the average pressure, the drill bit vibration energy density, the drill bit acceleration and the drilling start time and end time; the pressure-temperature change parameters specifically include the drilling start time and end time, the temperature change over time, the change in △t representing time and the pressure change over time; the pressure-mud performance parameters specifically include the number of drilling pressure sampling points, the pressure of the sampling points, the current mud viscosity value, the mud viscosity reference value, the current mud density value, the mud density reference value, the current mud flow value and the mud flow reference value.

[0014] Preferably, the model for obtaining the sub-region pressure-rock type fusion index in the multimodal information data analysis module is:

[0015]

[0016] Among them, Prmi i represents the sub-region pressure-rock type fusion index, N represents the number of borehole pressure sampling points, m represents the number of spectra of the kth sampling point, X l k represents the amplitude of the kth sampling point of the drilling pressure at the lth frequency point, u x k represents the average amplitude of all frequency points of the pressure spectrum of the kth sampling point, RT represents the rock type database, and Y j,l represents the amplitude of the jth rock at the lth frequency point, u y It represents the average value of the amplitude of all frequency points in the typical pressure fluctuation spectrum generated by this type of rock during the drilling process. max[] represents the maximum value.

[0017] Preferably, the model for obtaining the sub-region pressure-drilling equipment fusion index in the multimodal information data analysis module is:

[0018]

[0019] Among them Pvci i represents the sub-region pressure-drill vibration fusion index, m represents the number of drilling pressure sampling points, △p k It represents the difference between the maximum and minimum pressure of the kth sampling point in the sub-area time period, p / Indicates the average pressure of the sampling point in the sub-area time period, VED k VED represents the vibration energy density of the drill bit at the kth sampling point. / represents the average value of the drill bit vibration energy density at the sampling point, a t It represents the acceleration of the drill bit at time t, ts represents the start time of drilling, and te represents the end time of drilling.

[0020] Preferably, the model of the sub-region pressure-temperature change fusion index in the multimodal information data analysis module is:

[0021]

[0022] Among them, Prti iIt represents the fusion index of sub-region pressure-temperature change, ts represents the start time of drilling, te represents the end time of drilling, del_corr represents the correlation coefficient function considering the delay time γ, the correlation coefficient function is the Pearson correlation coefficient, △T represents the change of temperature over time, △t represents the change of time, and △p represents the change of pressure over time.

[0023] Preferably, the model for obtaining the sub-region pressure-mud performance fusion index in the multimodal information data analysis module is:

[0024]

[0025] Where Ppfi i represents the sub-region pressure-mud performance fusion index, N represents the number of borehole pressure sampling points, and p k represents the pressure at the kth sampling point, Npr represents the mud performance index, Vi now Indicates the current mud viscosity value, Vi ref Represents the reference value of mud viscosity, ρ now Indicates the current mud density value, ρ ref Indicates the mud density reference value, Q now Indicates the current mud flow value, Q ref Indicates the mud flow rate reference value.

[0026] Preferably, the fusion model in the drilling pressure multimodal information fusion module is:

[0027]

[0028] Where P i represents the sub-region multi-modal information fusion monitoring of borehole pressure, N represents the number of borehole pressure sampling points, and p k represents the pressure at the kth sampling point, and a1 represents the sub-region pressure-rock type fusion index Prmi i The weight of a2 represents the sub-area pressure-drill vibration fusion index Pvci i The weight of a3 represents the sub-region pressure-temperature change fusion index Prti i The weight of a4 represents the sub-region pressure-mud performance fusion index Ppfi i The weight of .

[0029] Preferably, the monitoring and early warning in the drilling pressure monitoring and early warning module includes the following steps:

[0030] Step 1: Real-time monitoring of borehole pressure is performed through multimodal information fusion technology. The borehole pressure monitoring model is: where Dpfr irepresents the borehole pressure change rate index of the sub-region multi-modal information fusion, P i represents the sub-region multi-modal information fusion monitoring of borehole pressure, P 0,i represents the threshold value of the borehole pressure monitored by multimodal information fusion in the sub-region;

[0031] Step 2: Compare the change rate of borehole pressure monitored by fusing sub-region multimodal information with the threshold value. The comparison model is: Where ▽Dpfr i It represents the stability index of the borehole pressure change rate indicator of the sub-region multimodal information fusion, and Dpfr0 represents the threshold value;

[0032] Step 3: Comprehensively analyze the stability index of the borehole pressure change rate index of the sub-region multimodal information fusion to obtain the comprehensive index of borehole pressure monitoring Dpci. Where i represents the sub-area, and n represents the number of sub-areas for drilling operations in the target area.

[0033] Technical effects and advantages of the present invention:

[0034] 1. The present invention obtains an index to evaluate the influence of rock type on borehole pressure by analyzing the pressure-rock type parameter. In the multimodal information fusion process, it helps to adjust the fusion algorithm and parameters according to different rock types to better adapt to the mechanical properties and borehole pressure response characteristics of different rocks, thereby improving the accuracy and reliability of borehole pressure monitoring;

[0035] 2. The present invention obtains an index to evaluate the influence of drill bit vibration on drilling pressure by analyzing the pressure-drilling equipment parameters. In the multi-modal information fusion process, it helps to adjust the drilling pressure to the optimal drilling pressure range according to the drill bit. Reasonable drilling pressure can improve drilling efficiency, thereby enabling the drill bit to reduce vibration and wear while maintaining efficient rock crushing, thereby extending the service life of the drill bit;

[0036] 3. The present invention analyzes the pressure-mud performance parameters to obtain an indicator to evaluate the influence of the viscosity, density and flow rate of the mud on the drilling pressure during the drilling process. In the process of multimodal information fusion, it helps to adjust the drilling pressure balance according to the mud performance parameters, thereby helping to prevent formation fluid intrusion or borehole collapse. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of the overall process of the present invention. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] See also Figure 1 As shown, the present invention provides a borehole pressure monitoring system based on multimodal information fusion, including a borehole pressure monitoring area division module, a multimodal information data acquisition module, a multimodal information data analysis module, a borehole pressure multimodal information fusion module, a borehole pressure monitoring and early warning module, and a borehole pressure monitoring human-computer interaction module.

[0040] The drilling pressure monitoring area division module is connected to the multimodal information data acquisition module, the multimodal information data analysis module is respectively connected to the drilling pressure multimodal information fusion module and the multimodal information data acquisition module, the drilling pressure monitoring and early warning module is respectively connected to the drilling pressure multimodal information fusion module and the drilling pressure monitoring human-computer interaction module, and the drilling pressure monitoring human-computer interaction module information terminal is connected to the multimodal information data analysis module.

[0041] The drilling pressure monitoring area division module is used to take the drilling operation as the target area, and divide the target area into a number of monitoring sub-areas according to equal time periods, which are sequentially recorded as 1, 2, 3, ..., i, ..., n, for example, 1 minute, 2 minutes, ..., 5 minutes are equal time periods;

[0042] The multimodal information data acquisition module is used to collect data on multimodal physical parameters in the borehole through a variety of sensors, obtain various monitoring parameters of the borehole pressure monitoring index of the multimodal information fusion, and output the various monitoring parameters to the multimodal information data analysis module;

[0043] It should be specifically explained in this embodiment that the data preprocessing, such as smoothing, denoising, interpolation, etc., is performed in consideration of the possible noise and outliers in the collected data to improve the accuracy of the analysis.

[0044] It should be specifically explained in this embodiment that the various monitoring parameters include target area information, engineering administrator identity authentication information, pressure-rock type parameters, pressure-drilling equipment parameters, pressure-temperature change parameters and pressure-mud performance parameters, wherein the pressure-rock type parameters are specifically the number of drilling pressure sampling points, the number of sampling point spectra, the amplitude of the pressure frequency points and the amplitude of the rock frequency points; the pressure-drilling equipment parameters are specifically the number of sampling points, the difference between the maximum and minimum pressure values ​​of the sampling points, the average pressure, the drill bit vibration energy density, the drill bit acceleration and the drilling start time and end time; the pressure-temperature change parameters are specifically the drilling start time and end time, the temperature change over time, the change in △t representing time and the pressure change over time; the pressure-mud performance parameters are specifically the number of drilling pressure sampling points, the pressure of the sampling points, the current mud viscosity value, the mud viscosity reference value, the current mud density value, the mud density reference value, the current mud flow value and the mud flow reference value.

[0045] The multimodal information data analysis module includes a pressure-rock type fusion index analysis unit, a pressure-drilling equipment fusion index analysis unit, a pressure-temperature change fusion index analysis unit, and a pressure-mud performance fusion index analysis unit, and outputs the analysis results to the drilling pressure multimodal information fusion module, and its data analysis includes the following steps;

[0046] What needs to be specifically explained in this embodiment is that the pressure-rock type fusion index analysis unit is used to calculate the pressure-rock type parameters, the pressure-drilling equipment fusion index analysis unit is used to calculate the pressure-drilling equipment parameters, the pressure-temperature change fusion index analysis unit is used to calculate the pressure-temperature change parameters and the pressure-mud performance fusion index analysis unit is used to calculate the pressure-mud performance parameters.

[0047] Step 1: By analyzing the pressure-rock type parameters, the influence of rock type on drilling pressure can be accurately captured. Different types of rocks have different physical and mechanical properties, such as hardness, toughness, brittleness, etc. These properties will directly affect the drilling force of the drill bit during the drilling process. Therefore, the model for obtaining the sub-region pressure-rock type fusion index in the pressure-rock type fusion index analysis unit is:

[0048]

[0049] Among them, Prmi i represents the sub-region pressure-rock type fusion index, N represents the number of borehole pressure sampling points, m represents the number of spectra of the kth sampling point, X l k represents the amplitude of the kth sampling point of the drilling pressure at the lth frequency point, ux k represents the average amplitude of all frequency points of the pressure spectrum at the kth sampling point. The pressure data is collected in real time during the drilling process by the pressure sensor installed on the drilling equipment, and the spectrum is obtained by Fourier transform. RT represents the rock type database, and Y j,l represents the amplitude of the jth rock at the lth frequency point, u y It represents the average value of the amplitude of all frequency points of the typical pressure fluctuation spectrum generated by this type of rock during the drilling process. The typical pressure fluctuation spectrum data generated by a specific rock type during the drilling process is obtained from the rock type database. max[] represents the maximum value.

[0050] Step 2: By analyzing the pressure-drilling equipment parameters, the working status of the drill bit can be understood in real time, and the drilling pressure can be adjusted to the optimal drilling pressure range, so that the drill bit can work in the best state. Reasonable drilling pressure can improve drilling efficiency, thereby enabling the drill bit to maintain high efficiency in rock crushing while reducing vibration and wear, thereby extending the service life of the drill bit. Therefore, the model for obtaining the sub-regional pressure-drilling equipment fusion index in the pressure-drilling equipment fusion index analysis unit is:

[0051]

[0052] Among them Pvci i represents the sub-region pressure-drill vibration fusion index, m represents the number of drilling pressure sampling points, △p k It represents the difference between the maximum and minimum pressure of the kth sampling point in the sub-area time period, p / It represents the average pressure of the sampling point in the sub-region time period. The sub-region time period refers to a time period of 1 minute, 2 minutes, ..., 5 minutes. VED k VED represents the vibration energy density of the drill bit at the kth sampling point. / represents the average value of the drill bit vibration energy density at the sampling point, a t represents the acceleration of the drill bit at time t, ts represents the start time of drilling, te represents the end time of drilling, and the vibration energy density of the drill bit is collected by capturing the acceleration generated by the vibration of the drill bit through a vibration sensor, and then integrating the acceleration signal to obtain the velocity signal, and then integrating the displacement signal, and then calculating the time integral of the square of the displacement signal to obtain the energy of the vibration signal, and then dividing it by the sub-area time interval to obtain;

[0053] Step 3: By analyzing the pressure-temperature change parameters, the change trend of the borehole pressure can be discovered and predicted in time. The temperature change not only directly affects the pressure distribution and stability during the drilling process, but also indirectly affects the monitoring results of the borehole pressure by affecting technical factors such as the properties of the liquid medium and the accuracy of the sensor. Therefore, the model for the pressure-temperature change fusion index analysis unit to obtain the sub-area pressure-temperature change fusion index is:

[0054]

[0055] Among them, Prti i It represents the fusion index of sub-region pressure-temperature change, ts represents the start time of drilling, te represents the end time of drilling, del_corr represents the correlation coefficient function considering the delay time γ, and the correlation coefficient function is the Pearson correlation coefficient, which is used to deal with the situation that the temperature response may lag behind the pressure change, △T represents the change of temperature over time, △t represents the change of time, △p represents the change of pressure over time, and the pressure change collection method: during the drilling process, the drilling pressure data is collected by the pressure sensor, and the process of pressure change over time is recorded to form a pressure change curve (PRC); the temperature change rate collection method: a temperature sensor is installed near the drilling area, and the temperature change data is collected in real time, and its change rate is calculated. The pressure value pressure change rate and temperature change rate on the pressure change curve correspond to each other at the same time point;

[0056] Step 4: By analyzing the pressure-mud performance parameters, the influence of the viscosity, density and flow rate of the mud on the borehole pressure during the drilling process can be measured. Mud with appropriate viscosity can better form mud skin on the borehole wall, enhance the sealing of the borehole, and help maintain the pressure balance in the borehole; reasonable adjustment of the mud density can ensure the stability and safety of the borehole; an appropriate amount of mud flow rate helps to maintain the pressure balance in the borehole and prevent formation fluid intrusion or borehole collapse. Therefore, the model for obtaining the sub-area pressure-mud performance fusion index in the pressure-mud performance fusion index analysis unit is:

[0057]

[0058] Where Ppfi i represents the sub-region pressure-mud performance fusion index, N represents the number of borehole pressure sampling points, and p k represents the pressure at the kth sampling point, Npr represents the mud performance index, Vi now Indicates the current mud viscosity value, Vi ref Represents the reference value of mud viscosity, ρ now Indicates the current mud density value, ρ ref Indicates the mud density reference value, Q nowIndicates the current mud flow value, Q ref Indicates the mud flow reference value; during the drilling process, a viscosity sensor is installed to measure the mud viscosity in real time and calculate the rate of change of the mud viscosity. The flow meter needs to measure the mud flow in real time and calculate the rate of change of the mud flow. The density of the mud is measured in real time using instruments such as a densitometer and calculate the rate of change of the mud density.

[0059] The drilling pressure multimodal information fusion module is used to fuse the multimodal information fusion index obtained by the data analysis module with the drilling pressure through the multimodal information fusion technology, which helps to improve the accuracy and reliability of drilling pressure monitoring, and can more keenly capture the subtle changes in pressure. Then, the fusion result is output to the drilling pressure monitoring and early warning module. The fusion model is:

[0060]

[0061] Where P i represents the sub-region multi-modal information fusion monitoring of borehole pressure, N represents the number of borehole pressure sampling points, and p k represents the pressure at the kth sampling point, and a1 represents the sub-region pressure-rock type fusion index Prmi i The weight of a2 represents the sub-area pressure-drill vibration fusion index Pvci i The weight of a3 represents the sub-region pressure-temperature change fusion index Prti i The weight of a4 represents the sub-region pressure-mud performance fusion index Ppfi i The weights of, for example, according to the influence of multimodal information on drilling pressure, a1 is 0.3-0.5, a2=0.2-0.4, a3=0.2-0.3, a4=0.1-0.2;

[0062] The drilling pressure monitoring and early warning module is used to compare the multi-modal information obtained by the fusion module with the threshold value to monitor the drilling pressure. When the pressure change exceeds the threshold value, an early warning signal is automatically sent to the drilling pressure monitoring human-computer interaction module. The monitoring and early warning include the above steps:

[0063] Step 1: Real-time monitoring of borehole pressure is performed through multimodal information fusion technology. The borehole pressure monitoring model is: where Dpfr i represents the borehole pressure change rate index of the sub-region multi-modal information fusion, P i represents the sub-region multi-modal information fusion monitoring of borehole pressure, P 0,i represents the threshold value of the borehole pressure monitored by multimodal information fusion in the sub-region;

[0064] Step 2: By fusing the sub-region multimodal information to monitor the borehole pressure change rate and comparing it with the threshold, when the pressure change exceeds the threshold, an early warning signal is automatically sent to the borehole pressure monitoring human-computer interaction module. The comparison model is: Where ▽Dpfr i represents the stability index of the borehole pressure change rate indicator of the sub-region multimodal information fusion, Dpfr0 represents the threshold value, if ▽Dpfr i <1, indicating that the drilling pressure is abnormal, and an early warning signal is automatically output to the drilling pressure monitoring human-computer interaction module. i ≧1, indicating that the drilling pressure is normal;

[0065] Step 3: Comprehensively analyze the stability index of the borehole pressure change rate index of the sub-region multimodal information fusion to obtain the comprehensive index of borehole pressure monitoring Dpci. Where i represents the sub-area, n represents the number of drilling operation sub-areas in the target area, if the comprehensive index Dpci of drilling pressure monitoring belongs to the set range, it means that the drilling pressure monitoring is normal, otherwise, an early warning signal is issued and output to the drilling pressure monitoring human-computer interaction module;

[0066] The drilling pressure monitoring human-computer interaction module is used to receive the warning signal of the monitoring and early warning module, and output the warning signal to the engineering manager information terminal, prompting the engineering manager to take timely measures. For high-strength and high-hardness rocks, the monitoring weight of drilling pressure and drill bit vibration data can be increased; for rocks with poor stability, the monitoring of mud properties and temperature data can be strengthened, and the monitoring data can be deeply mined and analyzed to achieve more accurate prediction and diagnosis, thereby improving the safety of drilling operations and reducing construction risks.

[0067] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0068] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A drilling pressure monitoring system based on multimodal information fusion, characterized in that: It includes a drilling pressure monitoring area division module, a multimodal information data acquisition module, a multimodal information data analysis module, a drilling pressure multimodal information fusion module, a drilling pressure monitoring and early warning module, and a drilling pressure monitoring human-computer interaction module; The drilling pressure monitoring area division module is used to take the drilling operation as the target area, and divide the target area into a number of monitoring sub-areas according to equal time periods, which are sequentially recorded as 1, 2, 3, ..., i, ..., n; The multimodal information data acquisition module is used to collect data on multimodal physical parameters in the borehole through a variety of sensors, obtain various monitoring parameters of the borehole pressure monitoring index of the multimodal information fusion, and output the various monitoring parameters to the multimodal information data analysis module; The multimodal information data analysis module includes a pressure-rock type fusion index analysis unit, a pressure-drilling equipment fusion index analysis unit, a pressure-temperature change fusion index analysis unit, and a pressure-mud performance fusion index analysis unit, and outputs the analysis results to the drilling pressure multimodal information fusion module; The drilling pressure multimodal information fusion module is used to fuse the multimodal information fusion index obtained by the data analysis module with the drilling pressure through the multimodal information fusion technology, and then output the fusion result to the drilling pressure monitoring and early warning module; The drilling pressure monitoring and early warning module is used to compare the multi-modal information obtained by the fusion module with the threshold value to monitor the drilling pressure. When the pressure change exceeds the threshold value, it automatically sends an early warning signal to the drilling pressure monitoring human-computer interaction module; The drilling pressure monitoring human-computer interaction module is used to receive the warning signal of the monitoring and early warning module, and output the warning signal to the engineering manager information terminal.

2. The drilling pressure monitoring system based on multimodal information fusion according to claim 1, characterized in that: The monitoring parameters in the multimodal information data acquisition module include target area information, engineering administrator identity authentication information, pressure-rock type parameters, pressure-drilling equipment parameters, pressure-temperature change parameters and pressure-mud performance parameters, wherein the pressure-rock type parameters are specifically the number of drilling pressure sampling points, the number of sampling point spectra, the amplitude of the pressure frequency points and the amplitude of the rock frequency points; the pressure-drilling equipment parameters are specifically the number of sampling points, the difference between the maximum and minimum pressure values ​​of the sampling points, the average pressure, the drill bit vibration energy density, the drill bit acceleration and the drilling start time and end time; the pressure-temperature change parameters are specifically the drilling start time and end time, the temperature change over time, the △t represents the time change and the pressure change over time; the pressure-mud performance parameters are specifically the number of drilling pressure sampling points, the pressure of the sampling points, the current mud viscosity value, the mud viscosity reference value, the current mud density value, the mud density reference value, the current mud flow value and the mud flow reference value.

3. The borehole pressure monitoring system based on multimodal information fusion according to claim 1, characterized in that: The model for obtaining the sub-region pressure-rock type fusion index in the multimodal information data analysis module is: Among them, Prmi i represents the sub-region pressure-rock type fusion index, N represents the number of borehole pressure sampling points, m represents the number of spectra of the kth sampling point, X l k represents the amplitude of the kth sampling point of the drilling pressure at the lth frequency point, u x k represents the average amplitude of all frequency points of the pressure spectrum of the kth sampling point, RT represents the rock type database, and Y j,l represents the amplitude of the jth rock at the lth frequency point, u y It represents the average value of the amplitude of all frequency points in the typical pressure fluctuation spectrum generated by this type of rock during the drilling process. max[] represents the maximum value.

4. The drilling pressure monitoring system based on multimodal information fusion according to claim 1, characterized in that: The model for obtaining the sub-region pressure-drilling equipment fusion index in the multi-modal information data analysis module is: Among them Pvci i represents the sub-region pressure-drill vibration fusion index, m represents the number of drilling pressure sampling points, △p k It represents the difference between the maximum and minimum pressure of the kth sampling point in the sub-area time period, p / Indicates the average pressure of the sampling point in the sub-area time period, VED k VED represents the vibration energy density of the drill bit at the kth sampling point. / represents the average value of the drill bit vibration energy density at the sampling point, a t It represents the acceleration of the drill bit at time t, ts represents the start time of drilling, and te represents the end time of drilling.

5. The drilling pressure monitoring system based on multimodal information fusion according to claim 1, characterized in that: The model for obtaining the sub-region pressure-temperature change fusion index in the multimodal information data analysis module is: Among them, Prti i It represents the fusion index of sub-region pressure-temperature change, ts represents the start time of drilling, te represents the end time of drilling, del_corr represents the correlation coefficient function considering the delay time γ, the correlation coefficient function is the Pearson correlation coefficient, △T represents the change of temperature over time, △t represents the change of time, and △p represents the change of pressure over time.

6. The drilling pressure monitoring system based on multimodal information fusion according to claim 1, characterized in that: The model for obtaining the sub-region pressure-mud performance fusion index in the multi-modal information data analysis module is: Where Ppfi i represents the sub-region pressure-mud performance fusion index, N represents the number of borehole pressure sampling points, and p k represents the pressure at the kth sampling point, Npr represents the mud performance index, Vi now Indicates the current mud viscosity value, Vi ref Represents the reference value of mud viscosity, ρ now Indicates the current mud density value, ρ ref Indicates the mud density reference value, Q now Indicates the current mud flow value, Q ref Indicates the mud flow rate reference value.

7. The drilling pressure monitoring system based on multimodal information fusion according to claim 1, characterized in that: The fusion model in the drilling pressure multimodal information fusion module is: Where P i represents the sub-region multi-modal information fusion monitoring of borehole pressure, N represents the number of borehole pressure sampling points, and p k represents the pressure at the kth sampling point, and a1 represents the sub-region pressure-rock type fusion index Prmi i The weight of a2 represents the sub-area pressure-drill vibration fusion index Pvci i The weight of a3 represents the sub-region pressure-temperature change fusion index Prti i The weight of a4 represents the sub-region pressure-mud performance fusion index Ppfi i The weight of .

8. The drilling pressure monitoring system based on multimodal information fusion according to claim 1, characterized in that: The monitoring and early warning of the drilling pressure monitoring and early warning module includes the following steps: Step 1: Real-time monitoring of borehole pressure is performed through multimodal information fusion technology. The borehole pressure monitoring model is: where Dpfr i represents the borehole pressure change rate index of the sub-region multi-modal information fusion, P i represents the sub-region multi-modal information fusion monitoring of borehole pressure, P 0,i represents the threshold value of the borehole pressure monitored by multimodal information fusion in the sub-region; Step 2: Compare the change rate of borehole pressure monitored by fusing sub-region multimodal information with the threshold value. The comparison model is: in It represents the stability index of the borehole pressure change rate indicator of the sub-region multimodal information fusion, and Dpfr0 represents the threshold value; Step 3: Comprehensively analyze the stability index of the borehole pressure change rate index of the sub-region multimodal information fusion to obtain the comprehensive index of borehole pressure monitoring Dpci. Where i represents the sub-area, and n represents the number of sub-areas for drilling operations in the target area.

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