Digital drilling risk monitoring method and device

Abstract

The present invention proposes a digital drilling risk monitoring method and device, which relate to the technical field of drilling safety prevention and control. The method comprises: acquiring real-time data of a drilling wellbore, describing the actual state of drilling according to the real-time data of the drilling wellbore, and determining the actual data of the actual state of drilling; simulating the state of drilling by using a drilling engineering model, and acquiring predicted data of the state of drilling; comparing well conditions according to the actual data of the actual state of drilling and the predicted data of the state of drilling, determining a drilling risk index, and setting a risk treatment plan according to the drilling risk index; performing a drilling preview according to the actual data of the actual state of drilling, determining a drilling risk index according to the drilling preview result, and optimizing a drilling operation plan according to the risk treatment plan corresponding to the drilling risk index.

Description

Technical Field

[0001] The present invention relates to the technical field of drilling safety prevention and control, and in particular to a digital drilling risk monitoring method and device, which can be applied to real-time monitoring and analytical diagnosis of potential risk signs during the drilling process of oil and gas wells. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention recited in the claims. No admission is made that the description herein is prior art by inclusion in this section.

[0003] During the drilling of oil and gas wells, different geological environments, well types and drilling technologies face different types of drilling accidents and risk probabilities. For example, downhole tools are prone to failure in high-temperature and high-pressure formations, and complex accidents such as leakage and overflow are prone to occur in deep wells and ultra-deep wells. Drilling accidents are prone to occur in highly deviated wells and horizontal wells.

[0004] At present, in response to the above-mentioned stuck drill accidents, drilling technicians mainly adopt two methods, passive prevention and active identification, to control the risks of underground accidents. Passive prevention refers to taking active measures to avoid drilling risks in accident-prone sections before underground accidents occur, but this method is prone to increase costs; active identification and treatment mainly rely on experienced engineering personnel to predict possible underground accidents based on the laws and characteristics of field engineering parameter changes, and take corresponding prevention and corresponding measures. This method is prone to misjudgment, resulting in extended drilling time and indirectly increasing drilling costs. At the same time, the implementation effects of the above two methods largely rely on the subjective experience of field operators, and cannot achieve accurate, rapid, and scientific monitoring and diagnosis of potential drilling risks during the drilling process. There is a lack of effective means to send early warning information to operators in the early stages of underground accidents or before accidents occur.

[0005] Traditional engineering accident warning technologies, represented by integrated logging technology, measure operating parameters in real time and use threshold warning methods to issue abnormal drilling accident alarms. However, due to the lack of a supporting professional analysis system, the integrated logging abnormal warning technology cannot achieve forward-looking accident warnings. It can only provide simple parameter reports for the drill string, well wall and flow in the wellbore. In many cases, the accident has already worsened when the warning is issued, and the warning effect is poor.

[0006] In summary, there is an urgent need for a technical solution that can overcome the above-mentioned defects and conduct effective monitoring and early warning of underground accidents. Summary of the invention

[0007] In order to solve the problems existing in the prior art, the present invention proposes a digital drilling risk monitoring method and device; the method and device are based on dynamic simulation data and real-time data reflecting the system status, so as to realize complex analysis of accidents that will occur in the wellbore and timely early warning, and help engineering operators determine reasonable drilling engineering measures to avoid accident risks by analyzing the changes in construction results under different construction parameters and working conditions during the simulated drilling and completion operations.

[0008] In a first aspect of an embodiment of the present invention, a digital drilling risk monitoring method is proposed, comprising:

[0009] Acquire real-time data of the drilling wellbore, describe the actual state of drilling according to the real-time data of the drilling wellbore, and determine actual data of the actual state of drilling;

[0010] Use drilling engineering models to simulate drilling conditions and obtain prediction data on drilling conditions;

[0011] Comparing the well conditions according to the actual data of the actual drilling state and the predicted data of the drilling state, determining the drilling risk index, and setting a risk treatment plan according to the drilling risk index;

[0012] A drilling preview is performed based on actual data of the actual drilling status, a drilling risk index is determined based on the drilling preview result, and a drilling operation plan is optimized based on a risk treatment plan corresponding to the drilling risk index.

[0013] In a second aspect of an embodiment of the present invention, a digital drilling risk monitoring device is provided, comprising:

[0014] A multivariate data acquisition module is used to obtain real-time data of the drilling wellbore, describe the actual state of drilling according to the real-time data of the drilling wellbore, and determine the actual data of the actual state of drilling;

[0015] A calculation simulation module is used to simulate the drilling state using a drilling engineering model and obtain prediction data of the drilling state;

[0016] A drilling risk analysis module, used to compare the well conditions according to the actual data of the actual drilling status and the predicted data of the drilling status, determine the drilling risk index, and set a risk treatment plan according to the drilling risk index;

[0017] The operation plan optimization module is used to perform drilling preview according to the actual data of the actual drilling status, determine the drilling risk index according to the drilling preview result, and optimize the drilling operation plan according to the risk treatment plan corresponding to the drilling risk index.

[0018] In a third aspect of an embodiment of the present invention, a computer device is proposed, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements a digital drilling risk monitoring method when executing the computer program.

[0019] In a fourth aspect of an embodiment of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, a digital drilling risk monitoring method is implemented.

[0020] In a fifth aspect of an embodiment of the present invention, a computer program product is proposed. The computer program product includes a computer program. When the computer program is executed by a processor, a digital drilling risk monitoring method is implemented.

[0021] The digital drilling risk monitoring method and device proposed in the present invention can solve the problem that traditional drilling safety early warning technology has lags and cannot realize risk assessment and prediction. The present invention realizes the transformation of drilling safety early warning from parameter abnormality reporting to accident risk prediction through digital information description, digital prediction analysis, digital analysis diagnosis, digital preview optimization and other processes, and supports the development of scientific and automated drilling technology in the future. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 It is a flow chart of a digital drilling risk monitoring method according to an embodiment of the present invention.

[0024] Figure 2 It is a schematic diagram of the process of digital well condition description according to an embodiment of the present invention.

[0025] Figure 3 It is a schematic diagram of a process of digital well condition prediction according to an embodiment of the present invention.

[0026] Figure 4 It is a schematic diagram of the process of digital well condition analysis according to an embodiment of the present invention.

[0027] Figure 5 It is a schematic diagram of the process of digital well condition preview according to an embodiment of the present invention.

[0028] Figure 6 It is a flow chart of digital drilling risk monitoring according to a specific embodiment of the present invention.

[0029] Figure 7 It is a schematic diagram of the calculation result of the standpipe pressure according to a specific embodiment of the present invention.

[0030] Figure 8 It is a schematic diagram of the calculation results of the hook load according to a specific embodiment of the present invention.

[0031] Fig. 9 It is a schematic diagram of the calculation result of the torque according to a specific embodiment of the present invention.

[0032] Fig.10 It is a schematic diagram of the deviation rate and change rate of the hook load and the riser pressure of an example well of a specific embodiment of the present invention.

[0033] Fig.11 It is a schematic diagram of the variation of the wellbore stuck drill risk warning index with well depth according to an example of a specific embodiment of the present invention.

[0034] Fig.12 It is a schematic diagram of the verification of the friction coefficient of the wellbore based on the bottom hole drilling pressure and torque parameters of an example well of an embodiment of the present invention.

[0035] Fig.13 It is a schematic diagram of the architecture of a digital drilling risk monitoring device according to an embodiment of the present invention.

[0036] Fig.14 It is a schematic diagram of the architecture of a computing simulation module according to a specific embodiment of the present invention.

[0037] Fig.15 It is a schematic diagram of the structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present disclosure more thorough and complete, and to fully convey the scope of the present disclosure to those skilled in the art.

[0039] Those skilled in the art will appreciate that the embodiments of the present invention may be implemented as a system, device, apparatus, method or computer program product. Therefore, the present disclosure may be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0040] According to the implementation mode of the present invention, a digital drilling risk monitoring method and device are proposed, which relates to the field of drilling safety prevention and control technology. Aiming at the problems existing in drilling risk monitoring technology, the present invention combines the characteristics of digital twin technology and proposes a digital twin method applied to the drilling process, including digital information description, digital prediction analysis, digital analysis and diagnosis, digital pre-performance optimization and other processes, forming a new and feasible digital drilling risk monitoring method and designing a corresponding software system.

[0041] The principle and spirit of the present invention are explained in detail below with reference to several representative embodiments of the present invention.

[0042] Figure 1 FIG. 1 is a flow chart of a digital drilling risk monitoring method according to an embodiment of the present invention. Figure 1 As shown, the method includes:

[0043] S1, acquiring real-time data of a drilling wellbore, describing the actual state of drilling according to the real-time data of the drilling wellbore, and determining actual data of the actual state of drilling;

[0044] S2, using a drilling engineering model to simulate the drilling state and obtain prediction data of the drilling state;

[0045] S3, comparing the well conditions according to the actual data of the actual drilling status and the predicted data of the drilling status, determining a drilling risk index, and setting a risk treatment plan according to the drilling risk index;

[0046] S4, performing a drilling preview according to the actual data of the actual drilling status, determining a drilling risk index according to the drilling preview result, and optimizing the drilling operation plan according to a risk treatment plan corresponding to the drilling risk index.

[0047] The present invention realizes complex analysis of accidents that will occur in the wellbore and timely warning based on dynamic simulation data and real-time data reflecting the system status. It also helps engineering operators determine reasonable drilling engineering measures to avoid accident risks by analyzing and simulating changes in construction results under different construction parameters and working conditions during drilling and completion operations.

[0048] In actual application scenarios, it effectively solves the lagging problem of traditional drilling safety early warning technology, and provides complex solutions to avoid underground accidents for on-site drilling operations. It realizes the transformation of drilling safety early warning from abnormal parameter reporting to accident risk prediction and active prevention, and supports the future development of scientific and automated drilling technology.

[0049] In order to explain the above digital drilling risk monitoring method more clearly, each step is described in detail below.

[0050] In S1, ref. Figure 2 , obtain the real-time data of the drilling wellbore, describe the actual state of drilling according to the real-time data of the drilling wellbore, and determine the detailed process of the actual data of the actual state of drilling as follows:

[0051] S101, receives real-time data of drilling wellbore through integrated logging instrument and LWD / MWD instrument;

[0052] S102, establishing standard real-time data objects of drilling wellbore according to time, depth, working conditions and profession and designing corresponding relational data table structures, building a database according to the relational database structure, and storing real-time data of drilling wellbore;

[0053] S103, describing actual data of the actual drilling status according to the real-time data of the drilling wellbore; wherein the actual data of the actual drilling status at least includes: hook load, torque and riser pressure.

[0054] Specifically, a standard network communication interface is developed for the integrated logging instrument and LWD / MWD instrument interface to realize the reception of real-time drilling wellbore data; standard drilling wellbore real-time data objects are established according to time, depth, working conditions, and professions, and the corresponding relational data table structure is designed. Relying on the relational database management key to build a database, real-time drilling wellbore data storage is realized, and the drilling status is described.

[0055] In S2, reference Figure 3 , the detailed process of using the drilling engineering model to simulate the drilling state and obtain the prediction data of the drilling state is as follows:

[0056] S201, collecting the wellbore structure, drilling tool assembly, drilling fluid performance and wellbore trajectory data to be analyzed on site, predicting the standpipe pressure at different well depths using a drilling hydraulics model, and storing the calculation results in a database;

[0057] S202, based on the wellbore structure, drilling tool assembly, drilling fluid performance, and wellbore trajectory data to be analyzed on site, a drill string mechanics model is used to predict the hook load and torque at different working conditions and well depths, and the results are stored in a database.

[0058] Specifically, for the downhole wellbore environment composed of the drill string, well wall and annular flow fluid, the industry-standard friction and torque model, rock mechanics model and hydraulic model are used to model and predict the key data of the wellbore status. The original model calculation results of the drill bit lateral force, axial force, friction resistance, torque force, circulating pressure loss, etc. are output along the drill string segment unit. The iterative calculation method is used along the extension of the well to obtain the drilling wellbore prediction engineering data of any well depth step that can be used for comparison with actual drilling data, thereby simulating the drilling status.

[0059] In S3, reference Figure 4 , compare the well conditions according to the actual data of the actual drilling state and the predicted data of the drilling state, determine the drilling risk index, and set the risk treatment plan according to the drilling risk index. The specific process is as follows:

[0060] S301, calculating the deviation value, deviation rate, change value, and change rate between the actual data of the actual drilling state and the predicted data of the drilling state;

[0061] Specifically, the calculation formula is as follows:

[0062] Y 偏差值 =X 实际 -X 预测

[0063]

[0064] Y 变化值 =X2-X1

[0065]

[0066] Among them, X 预测 is the predicted hook load, torque, and riser pressure values. The hook load unit is N, the torque unit is N·m, and the riser pressure unit is Pa;

[0067] X 实际 The hook load, torque and riser pressure values ​​actually collected. The hook load unit is N, the torque unit is N·m, and the riser pressure unit is Pa;

[0068] X1 is the average value of the hook load, torque and riser pressure in the first cycle. The default time interval of the first cycle is 30s. The unit of the hook load is N, the unit of the torque is N·m, and the unit of the riser pressure is Pa.

[0069] X2 is the average value of the hook load, torque and riser pressure in the second cycle. The default time interval of the second cycle is 30s. The unit of the hook load is N, the unit of the torque is N·m, and the unit of the riser pressure is Pa.

[0070] S302, forming a wellbore stuck drill risk warning index using a stuck drill risk warning model according to the deviation value, deviation rate, change value, and change rate of the actual data of the actual drilling state and the predicted data of the drilling state;

[0071] S303, quantifying the risk handling plan according to the drilling risk index, wherein when the index is less than A%, it is set to low risk, prompting normal drilling operations; when the index is greater than A% and less than B%, it is set to medium risk, prompting on-site operators to pay attention to changes in wellbore conditions; when the index is greater than B%, it is set to high risk, prompting on-site operators to start pump circulation, slowly lift and lower, and continue to observe.

[0072] Specifically, the actual wellbore data is compared with the predicted wellbore data in real time to obtain the deviation value, deviation rate (0-100%), change value, and change rate (0-100%); the risk index is defined by the deviation value, deviation rate, change value, and change rate to quantify the severity of different accident risks in real time.

[0073] In S4, ref. Figure 5 , a drilling preview is performed according to the actual data of the actual drilling status, a drilling risk index is determined according to the drilling preview result, and the specific process of optimizing the drilling operation plan according to the risk treatment plan corresponding to the drilling risk index is as follows:

[0074] S401, performing a drilling preview according to the real-time data of the drilling status, and obtaining a drilling preview result;

[0075] S402, performing sensitivity analysis based on the drilling preview results, determining the bottom hole drilling pressure and torque parameters to avoid the risk of drilling accidents, and determining the wellbore sticking risk index after completing the wellbore friction coefficient verification;

[0076] S403, optimizing the drilling operation plan according to the risk treatment plan corresponding to the drilling risk index.

[0077] Specifically, real-time wellbore data is introduced into the digital well condition prediction process, and the subsequent drilling plan is pre-diagnosed according to the digital well condition prediction process to obtain the risk index of the subsequent construction well section. According to the risk index, the operating parameters under low-risk conditions are obtained to guide the next drilling construction.

[0078] It should be noted that, although the operations of the method of the present invention are described in a specific order in the above embodiments and the accompanying drawings, this does not require or imply that the operations must be performed in the specific order, or that all the operations shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps.

[0079] In order to explain the above digital drilling risk monitoring method more clearly, a specific embodiment is described below.

[0080] Take a well area as an example, refer to Figure 6The digital drilling risk monitoring process diagram is used to conduct digital drilling risk monitoring on the drilling operations in the well area.

[0081] S61, digital well condition description process.

[0082] Real-time data of the drilling wellbore is acquired, the actual drilling status is described according to the real-time data of the drilling wellbore, and actual data of the actual drilling status is determined.

[0083] According to the network communication specifications set up by the integrated logging instrument data interface, real-time drilling engineering data such as hook load, torque, and standpipe pressure are received in real time and stored in a standard MS SQL Server database.

[0084] In this embodiment, the network communication specification may adopt the TCP / IP WITS0 standard.

[0085] Specifically, the engineering data such as hook load, torque and riser pressure sent by the comprehensive logging instrument of the example well are received, and the marking format of the engineering data is AABBCCC;

[0086] Among them, AA represents the data sequence category, 01 represents time series, and 02 represents deep sequence data;

[0087] BB stands for parameter tag ID, which is a 2-digit number from 01 to 99;

[0088] CCC represents the parameter value.

[0089] In this embodiment, the hook load data is marked as 0114CCC, the torque data is marked as 0108CCC, and the riser pressure data is marked as 0120CCC. The specific value of each parameter is determined according to the data measurement value.

[0090] Use MS SQL Server to create a database named Alarm, in which a table named Time_RealTime_Data is created, and the field names are wid (type is varchar(50)), datetime (type is DateTime), hkload (type is decimal), torque (type is decimal), spp (type is decimal). According to the above format definition, engineering data such as hook load, torque and riser pressure can be stored in real time in the MS SQL Server database for subsequent extraction and analysis.

[0091] S62, digital well condition prediction process:

[0092] The drilling engineering model is used to simulate the drilling state and obtain the prediction data of the drilling state, wherein the prediction data at least includes: riser pressure, hook load, torque value and other data.

[0093] The calculation of the riser pressure is explained in detail below.

[0094] Collect the wellbore structure, drilling tool assembly, drilling fluid performance, and wellbore trajectory data to be analyzed on site, use the drilling hydraulics model to predict the riser pressure at different well depths, and store the calculation results in the database.

[0095] The key parameters involved in the specific calculation method for the example well riser pressure are shown in Table 1. The riser pressure can be obtained by multiplying the pressure gradient by the well depth; Figure 7 FIG. 1 is a schematic diagram of calculation results of the standpipe pressure according to a specific embodiment of the present invention.

[0096] Table 1 Key parameters for calculating riser pressure

[0097]

[0098]

[0099] In the calculation formula in Table 1, ρ is the drilling fluid density, g / cm3;

[0100] d is the inner diameter of the drill bit, m;

[0101] D is the outer diameter of the drill bit, m;

[0102] Q is the drilling fluid displacement (flow rate), m 3 / s;

[0103] R 600 It is the reading of the drilling fluid at a rotational viscometer speed of 600 r / min, dimensionless;

[0104] R 300 It is the reading of the drilling fluid at a rotational viscometer speed of 300 r / min, dimensionless;

[0105] R 100 It is the reading of the drilling fluid at a rotational viscometer speed of 100 r / min, dimensionless;

[0106] R3 is the drilling fluid reading at a rotational viscometer speed of 3 r / min, dimensionless;

[0107] The calculation of the hook load and torque values ​​is explained in detail below.

[0108] Collect the wellbore structure, drilling tool assembly, drilling fluid performance, and wellbore trajectory data to be analyzed on site, use the drill string mechanics calculation model to predict the hook load and torque values ​​under different working conditions and well depths, and store the results in the database.

[0109] The key parameters involved in the specific calculation method of the hook load and torque in the example well are shown in Table 2. The hook load and torque can be obtained by recursive formula according to different working conditions; Figure 8 As shown in FIG. 1 , it is a schematic diagram of the calculation result of the hook load of a specific embodiment of the present invention; Fig. 9 FIG. 1 is a schematic diagram of calculation results of torque according to a specific embodiment of the present invention.

[0110] Table 2 Key parameters for calculating hook load and torque under different working conditions

[0111]

[0112]

[0113] Among them, α1, α2, are the well inclination and azimuth of the upper and lower measuring points of the measuring section where the unit string is located, rad;

[0114] W b is the buoyancy weight of the unit string, N;

[0115] T2 is the axial force on the lower end of the unit string, N;

[0116] γ is the dog-leg angle of the measuring section where the unit string is located, rad;

[0117] N r is the contact normal pressure between the unit string and the well wall, N;

[0118] E is the elastic modulus of the pipe material, Pa / m 2 ;

[0119] I is the bending inertia moment of the pipe string, m 4 ;

[0120] K' is the wellbore curvature, rad / m;

[0121] L is the length of the pipe string section analyzed, m;

[0122] D w is the borehole diameter, m;

[0123] D o is the outer diameter of the pipe column, m;

[0124] f' is the comprehensive friction coefficient between the drill string and the wellbore;

[0125] F is the friction force on the unit string, N.

[0126] S63, digital well condition analysis process:

[0127] A well condition comparison is performed based on the actual data of the actual drilling status and the predicted data of the drilling status, a drilling risk index is determined, and a risk treatment plan is set based on the drilling risk index.

[0128] Real-time calculation of the deviation, change, deviation rate, and change rate of the actual and predicted hook load, torque, and riser pressure, and the stuck drill risk index, deviation, change, deviation rate, and change rate;

[0129] Specifically, the calculation method is as follows:

[0130] Y 偏差值 =X 实际 -X 预测

[0131]

[0132] Y 变化值 =X2-X1

[0133]

[0134] Among them, X 预测 is the predicted hook load, torque, and riser pressure values. The hook load unit is N, the torque unit is N·m, and the riser pressure unit is Pa;

[0135] X 实际 The hook load, torque and riser pressure values ​​actually collected. The hook load unit is N, the torque unit is N·m, and the riser pressure unit is Pa;

[0136] X1 is the average value of the hook load, torque and riser pressure in the first cycle. The default time interval of the first cycle is 30s. The unit of the hook load is N, the unit of the torque is N·m, and the unit of the riser pressure is Pa.

[0137] X2 is the average value of the hook load, torque and riser pressure in the second cycle. The default time interval of the second cycle is 30s. The unit of the hook load is N, the unit of the torque is N·m, and the unit of the riser pressure is Pa.

[0138] During the drilling process, the deviation rate between the calculated theoretical load, torque, and riser parameters and the actual parameters, as well as the actual ground load, torque, and riser parameter change rate, are used to determine the changes and deviations of the wellbore engineering parameters during the drilling process; Fig.10 1 is a schematic diagram of the deviation rate and change rate of the hook load, the riser pressure of an example well according to a specific embodiment of the present invention.

[0139] According to the deviation rate between the actual engineering parameter value and the predicted engineering parameter value, and the change rate of the actual drilling engineering parameter, a wellbore stuck drill risk warning index is formed based on the system's built-in stuck drill risk warning model;

[0140] When the index is A%, it is set to low risk green, and drilling operations can be carried out normally;

[0141] When the index is greater than A% and less than B%, it is set to medium risk yellow, and field operators need to pay attention to changes in wellbore conditions;

[0142] When the index is greater than B%, it is set to high risk red, and on-site operators need to take measures such as starting pump circulation, slowly lifting and lowering, and observing to improve the wellbore conditions.

[0143] like Fig.11 , which is a schematic diagram of the variation of the wellbore stuck drill risk warning index with the well depth according to a specific embodiment of the present invention.

[0144] S64, digital well status preview process:

[0145] Perform a drilling preview based on the actual data of the actual drilling status, determine the drilling risk index based on the drilling preview result, and optimize the drilling operation plan based on the risk treatment plan corresponding to the drilling risk index:

[0146] A sensitivity analysis is performed based on the actual drilling engineering parameters to determine the optimal bottom hole drilling pressure and torque parameters that can ensure the accuracy of the stuck drill risk warning. After completing the wellbore friction coefficient verification, the wellbore stuck drill risk index is determined.

[0147] like Fig.12 The figure shows a schematic diagram of the verification of the friction coefficient of the wellbore based on the bottom hole drilling pressure and torque parameters of an example well according to an embodiment of the present invention. The hook load sensitivity curve in the figure shows that the friction coefficient of the casing section is 0.2 under the drilling condition, and the friction coefficients of the open hole section are 0.25, 0.3 and 0.4 respectively. By comparing with the measured hook load, it is determined that the friction coefficient of the open hole section is 0.3. The hook load, torque and riser pressure are recalculated using the given downhole drilling pressure and torque at this time to ensure that the drilling parameters calculated by the current stuck drill risk warning model are optimal.

[0148] After introducing the method of the exemplary embodiment of the present invention, next, refer to Fig.13 A digital drilling risk monitoring device according to an exemplary embodiment of the present invention is introduced.

[0149] The implementation of the digital drilling risk monitoring device can refer to the implementation of the above method, and the repeated parts will not be repeated. The term "module" or "unit" used below can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0150] Based on the same inventive concept, the present invention also proposes a digital drilling risk monitoring device, such as Fig.13 As shown, the device comprises:

[0151] The multivariate data acquisition module 110 is used to obtain real-time data of the drilling wellbore, describe the actual state of drilling according to the real-time data of the drilling wellbore, and determine the actual data of the actual state of drilling;

[0152] The calculation simulation module 120 is used to simulate the drilling state using the drilling engineering model and obtain the prediction data of the drilling state;

[0153] A drilling risk analysis module 130, for comparing well conditions based on actual data of the actual drilling state and predicted data of the drilling state, determining a drilling risk index, and setting a risk treatment plan based on the drilling risk index;

[0154] The operation plan optimization module 140 is used to perform drilling preview according to the actual data of the actual drilling status, determine the drilling risk index according to the drilling preview result, and optimize the drilling operation plan according to the risk treatment plan corresponding to the drilling risk index.

[0155] In one embodiment, the multivariate data acquisition module 110 is specifically used for:

[0156] Receive real-time data from the drilling wellbore through integrated logging instruments and LWD / MWD instruments;

[0157] Establish standard real-time data objects of drilling wellbore according to time, depth, working conditions and profession and design corresponding relational data table structure, build database according to relational database structure to store real-time data of drilling wellbore;

[0158] The actual data of the actual drilling status is described according to the real-time data of the drilling wellbore; wherein the actual data of the actual drilling status at least includes: hook load, torque and riser pressure.

[0159] Specifically, the multivariate data acquisition module 110 communicates with the drilling site instruments through the network, using TCP / IP, UDP / IP, Series, Modbus network communication interfaces to parse the network data in real time to the local

[0160] In one embodiment, the calculation simulation module 120 is specifically used for:

[0161] Collect the wellbore structure, drilling tool assembly, drilling fluid performance and wellbore trajectory data to be analyzed on site, use the drilling hydraulics model to predict the riser pressure at different well depths, and store the calculation results in the database;

[0162] According to the wellbore structure, drilling tool assembly, drilling fluid performance, and wellbore trajectory data to be analyzed on site, the drill string mechanics model is used to predict the hook load and torque under different working conditions and well depths, and the results are stored in the database.

[0163] In a specific embodiment, reference Fig.14 , is a schematic diagram of the specific architecture of the computing simulation module. Fig.14 As shown, the computational simulation module includes:

[0164] The drilling hydraulics calculation simulation unit 121 is used to realize the digital well condition prediction process, simulate and calculate the hydraulics of the wellbore annulus fluid, and analyze the annulus hydraulics parameters such as the fluctuation pressure, wellbore cleaning, circulation pressure loss, and riser pressure;

[0165] The drill string mechanical calculation simulation unit 122 is used to realize the digital well condition prediction process, simulate and calculate the wellbore drill string object, and analyze the drill string parameters such as drill friction, ground torque, and ground hook load under different working conditions;

[0166] The drilling rock mechanics calculation simulation unit 123 is used to realize the digital well condition prediction process, simulate and calculate the wellbore and well wall objects, and analyze the rock drillability, brittleness, strength, and formation pressure.

[0167] In one embodiment, the drilling risk analysis module 130 is specifically used to:

[0168] The deviation value, deviation rate, change value and change rate of the actual data of the actual drilling state and the predicted data of the drilling state are calculated as follows:

[0169] Y 偏差值 =X 实际 -X 预测

[0170]

[0171] Y 变化值 =X2-X1

[0172]

[0173] Among them, X 预测is the predicted hook load, torque, and riser pressure values. The hook load unit is N, the torque unit is N·m, and the riser pressure unit is Pa;

[0174] X 实际 The hook load, torque and riser pressure values ​​actually collected. The hook load unit is N, the torque unit is N·m, and the riser pressure unit is Pa;

[0175] X1 is the average value of the hook load, torque and riser pressure in the first cycle. The default time interval of the first cycle is 30s. The unit of the hook load is N, the unit of the torque is N·m, and the unit of the riser pressure is Pa.

[0176] X2 is the average value of the hook load, torque and riser pressure in the second cycle. The default time interval of the second cycle is 30s. The unit of the hook load is N, the unit of the torque is N·m, and the unit of the riser pressure is Pa.

[0177] In one embodiment, the drilling risk analysis module 130 is specifically used to:

[0178] According to the deviation value, deviation rate, change value and change rate of the actual data of the actual drilling state and the predicted data of the drilling state, a wellbore stuck drill risk warning index is formed by using a stuck drill risk warning model;

[0179] A risk handling scheme is quantified according to the drilling risk index, wherein, when the index is less than A%, it is set to low risk, prompting normal drilling operations; when the index is greater than A% and less than B%, it is set to medium risk, prompting on-site operators to pay attention to changes in wellbore conditions; when the index is greater than B%, it is set to high risk, prompting on-site operators to start pump circulation, slowly lift and lower, and continue to observe.

[0180] In one embodiment, the operation plan optimization module 140 is specifically used to:

[0181] Perform drilling preview based on real-time data of drilling status to obtain drilling preview results;

[0182] Conduct sensitivity analysis based on drilling rehearsal results to determine bottom hole drilling pressure and torque parameters to avoid drilling accident risks, and determine the wellbore sticking risk index after completing wellbore friction coefficient verification;

[0183] Optimize the drilling operation plan according to the risk management plan corresponding to the drilling risk index.

[0184] It should be noted that although several modules of the digital drilling risk monitoring device are mentioned in the above detailed description, this division is only exemplary and not mandatory. In fact, according to an embodiment of the present invention, the features and functions of two or more modules described above can be embodied in one module. Conversely, the features and functions of one module described above can be further divided into multiple modules for embodiment.

[0185] Based on the above invention concept, Fig.15 As shown, the present invention also proposes a computer device 1500, including a memory 1510, a processor 1520, and a computer program 1530 stored in the memory 1510 and executable on the processor 1520, wherein the processor 1520 implements the aforementioned digital drilling risk monitoring method when executing the computer program 1530.

[0186] Based on the aforementioned inventive concept, the present invention proposes a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the aforementioned digital drilling risk monitoring method is implemented.

[0187] Based on the aforementioned inventive concept, the present invention proposes a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, a digital drilling risk monitoring method is implemented.

[0188] The digital drilling risk monitoring method and device proposed in the present invention can solve the problem that traditional drilling safety early warning technology has lags and cannot realize risk assessment and prediction. The present invention realizes the transformation of drilling safety early warning from parameter abnormality reporting to accident risk prediction through digital information description, digital prediction analysis, digital analysis diagnosis, digital preview optimization and other processes, and supports the development of scientific and automated drilling technology in the future.

[0189] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0190] The present invention is described with reference to flowcharts and / or block diagrams of methods and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0191] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0192] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0193] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A digital drilling risk monitoring method, characterized in that: This method combines the characteristics of digital twin technology to realize the digital twin method of applying digital information description, digital prediction analysis, digital analysis diagnosis, and digital preview optimization to the drilling process. It determines the deviation rate and change rate of corresponding parameters of different downhole accident complexes according to different geological characteristics and different well types, and analyzes drilling risks based on the deviation rate and change rate. Different geological environments, well types and drilling technologies face different types of drilling accidents and risk probabilities during oil and gas well drilling. Complex accidents include downhole tool failure in high-temperature and high-pressure formations, well leakage and overflow in deep and ultra-deep wells, and drill sticking accidents in highly deviated wells and horizontal wells. The digital drilling risk monitoring method can realize complex analysis of accidents that will occur in the wellbore and timely warning through dynamic simulation data and real-time data reflecting the system status, and can help engineering operators determine reasonable drilling engineering measures to avoid accident risks by analyzing the changes in construction results under different construction parameters and working conditions during the simulation of drilling and completion operations; Among them, the method includes: Acquire real-time data of the drilling wellbore, describe the actual state of drilling according to the real-time data of the drilling wellbore, and determine actual data of the actual state of drilling; Use drilling engineering models to simulate drilling conditions and obtain prediction data on drilling conditions; Comparing the well conditions according to the actual data of the actual drilling state and the predicted data of the drilling state, determining the drilling risk index, and setting a risk treatment plan according to the drilling risk index; Perform a drilling preview based on the actual data of the actual drilling status, determine the drilling risk index based on the drilling preview result, and optimize the drilling operation plan based on the risk treatment plan corresponding to the drilling risk index; Among them, the drilling engineering model is used to simulate the drilling state and obtain the prediction data of the drilling state, including: Collect the wellbore structure, drilling tool assembly, drilling fluid performance and wellbore trajectory data to be analyzed on site, use the drilling hydraulics model to predict the riser pressure at different well depths, and store the calculation results in the database; Based on the wellbore structure, drilling tool assembly, drilling fluid performance, and wellbore trajectory data to be analyzed on site, the drill string mechanics model is used to predict the hook load and torque under different working conditions and well depths, and the results are stored in the database; For the standpipe pressure, the pressure gradient is multiplied by the well depth to obtain the standpipe pressure. The calculation process of the relevant parameters of the standpipe pressure is: Pressure gradient The calculation formula in the drilling tool is: Pressure gradient The annulus calculation formula is: Where f represents the friction coefficient of drilling fluid, ρ represents the density of drilling fluid, V represents the flow rate, D represents the outer diameter of the drill bit, and d represents the inner diameter of the drill bit; Flow rate, the calculation formula in the drilling tool is The annulus calculation formula is: Drilling fluid friction coefficient, laminar flow ≤ 2100, the calculation formula in the drill tool is: The annulus calculation formula is: Drilling fluid friction coefficient, turbulence ≧ 2100, calculated by: Reynolds number, the calculation formula in the drill bit is The annulus calculation formula is: Apparent viscosity, calculated in drilling tools, is The annulus calculation formula is: Fluidity index, the calculation formula in the drill bit is: The annulus calculation formula is: The calculation formula of the consistency coefficient in the drill bit is: The annulus calculation formula is: Where Q is the drilling fluid displacement, m 3 / s; R 600 It is the reading of the drilling fluid at a rotational viscometer speed of 600 r / min, dimensionless; R 300 It is the reading of the drilling fluid at a rotational viscometer speed of 300 r / min, dimensionless; R 100 It is the reading of the drilling fluid at a rotational viscometer speed of 100 r / min, dimensionless; R3 is the drilling fluid reading at a rotational viscometer speed of 3 r / min, dimensionless; For the hook load and torque, the calculation process of the relevant parameters is: Recursive calculation of hook load T1 in the drilling and drilling conditions: F=(N r +N G )×f'; T1=T2+W y ±F; Recursive calculation of hook load T1' and torque M in eye-reaming condition: F=(N r +N G )×f'; T1'=T2+W y ±F; M=0.5(N r +N G )×f'×D; In the formula, F represents the friction resistance of the unit string, N r Indicates the contact normal pressure between the unit string and the well wall, N G represents the rigid positive pressure, f' represents the comprehensive friction coefficient between the drill string and the wellbore, T2 represents the axial force at the lower end of the unit string, W y Indicates the weight of the drilling tool in the tangential direction; Recursive calculation of load and torque of rotary drilling hook: Under rotary drilling conditions, the pipe string has axial movement and rotation. It is treated as a normal reaming condition. Due to the existence of drilling pressure, the axial force at the lower end of the lowest unit pipe string; Recursive calculation of hook load in sliding drilling conditions: Under the sliding drilling condition, the pipe string only moves axially downward. According to the drilling condition, due to the existence of drilling pressure, the axial force at the lower end of the lowest unit pipe string; Among them, comparing the well conditions based on the actual data of the actual drilling state and the predicted data of the drilling state, determining the drilling risk index, and setting a risk treatment plan based on the drilling risk index, including: The deviation value, deviation rate, change value and change rate of the actual data of the actual drilling state and the predicted data of the drilling state are calculated as follows: Y 偏差值 =X 实际 -X 预测 ; Y 变化值 =X2-X1; Among them, X 预测 is the predicted hook load, torque, and riser pressure values. The hook load unit is N, the torque unit is N·m, and the riser pressure unit is Pa; X 实际 The hook load, torque and riser pressure values ​​actually collected. The hook load unit is N, the torque unit is N·m, and the riser pressure unit is Pa; X1 is the average value of the hook load, torque and riser pressure in the first cycle. The default time interval of the first cycle is 30s. The unit of the hook load is N, the unit of the torque is N·m, and the unit of the riser pressure is Pa. X2 is the average value of the hook load, torque and riser pressure in the second cycle. The default time interval of the second cycle is 30s. The unit of the hook load is N, the unit of the torque is N·m, and the unit of the riser pressure is Pa. According to the deviation value, deviation rate, change value and change rate of the actual data of the actual drilling state and the predicted data of the drilling state, a wellbore stuck drill risk warning index is formed by using a stuck drill risk warning model; According to the drilling risk index, a risk treatment plan is quantified. When the index is less than A%, it is set to low risk, prompting normal drilling operations; when the index is greater than A% and less than B%, it is set to medium risk, prompting on-site operators to pay attention to changes in wellbore conditions; when the index is greater than B%, it is set to high risk, prompting on-site operators to start pump circulation, slowly lift and lower, and continue to observe; The drilling rehearsal is performed according to the actual data of the actual drilling status, the drilling risk index is determined according to the drilling rehearsal result, and the drilling operation plan is optimized according to the risk treatment plan corresponding to the drilling risk index, including: Perform drilling preview based on real-time data of drilling status to obtain drilling preview results; Conduct sensitivity analysis based on drilling rehearsal results to determine bottom hole drilling pressure and torque parameters to avoid drilling accident risks, and determine the wellbore sticking risk index after completing wellbore friction coefficient verification; The drilling operation plan is optimized according to the risk treatment plan corresponding to the drilling risk index; among them, the real-time wellbore data is introduced into the digital well condition prediction process, and the subsequent drilling plan is pre-diagnosed according to the digital well condition prediction process to obtain the risk index of the subsequent construction well section, and the operation parameters under low-risk conditions are obtained according to the risk index to guide the next drilling construction.

2. The method according to claim 1, characterized in that Acquiring real-time data of the drilling wellbore, describing the actual state of drilling according to the real-time data of the drilling wellbore, and determining actual data of the actual state of drilling, including: Receive real-time data from the drilling wellbore through integrated logging instruments and LWD / MWD instruments; Establish standard real-time data objects of drilling wellbore according to time, depth, working conditions and profession and design corresponding relational data table structure, build database according to relational database structure to store real-time data of drilling wellbore; The actual data of the actual drilling status is described according to the real-time data of the drilling wellbore; wherein the actual data of the actual drilling status at least includes: hook load, torque and riser pressure.

3. A digital drilling risk monitoring device, characterized in that: The device combines the characteristics of digital twin technology to realize the digital twin method of applying digital information description, digital prediction analysis, digital analysis diagnosis, and digital preview optimization to the drilling process. It determines the deviation rate and change rate of corresponding parameters of different downhole accident complexes according to different geological characteristics and different well types, and analyzes drilling risks based on the deviation rate and change rate. Different geological environments, well types and drilling technologies face different types of drilling accidents and risk probabilities during oil and gas well drilling. Complex accidents include downhole tool failure in high-temperature and high-pressure formations, well leakage and overflow in deep and ultra-deep wells, and drill sticking accidents in highly deviated wells and horizontal wells. The digital drilling risk monitoring device can realize complex analysis of accidents that will occur in the wellbore and timely warning through dynamic simulation data and real-time data reflecting the system status, and can help engineering operators determine reasonable drilling engineering measures to avoid accident risks by analyzing and simulating the changes in construction results under different construction parameters and working conditions during the drilling and completion operations; The device comprises: A multivariate data acquisition module is used to obtain real-time data of the drilling wellbore, describe the actual state of drilling according to the real-time data of the drilling wellbore, and determine the actual data of the actual state of drilling; A calculation simulation module is used to simulate the drilling state using a drilling engineering model and obtain prediction data of the drilling state; A drilling risk analysis module, used to compare the well conditions according to the actual data of the actual drilling status and the predicted data of the drilling status, determine the drilling risk index, and set a risk treatment plan according to the drilling risk index; An operation plan optimization module, used to perform a drilling preview according to the actual data of the actual drilling status, determine the drilling risk index according to the drilling preview result, and optimize the drilling operation plan according to the risk treatment plan corresponding to the drilling risk index; Wherein, the calculation simulation module is specifically used for: Collect the wellbore structure, drilling tool assembly, drilling fluid performance and wellbore trajectory data to be analyzed on site, use the drilling hydraulics model to predict the riser pressure at different well depths, and store the calculation results in the database; Based on the wellbore structure, drilling tool assembly, drilling fluid performance, and wellbore trajectory data to be analyzed on site, the drill string mechanics model is used to predict the hook load and torque under different working conditions and well depths, and the results are stored in the database; For the standpipe pressure, the pressure gradient is multiplied by the well depth to obtain the standpipe pressure. The calculation process of the relevant parameters of the standpipe pressure is: Pressure gradient The calculation formula in the drilling tool is: Pressure gradient The annulus calculation formula is: Where f represents the friction coefficient of drilling fluid, ρ represents the density of drilling fluid, V represents the flow rate, D represents the outer diameter of the drill bit, and d represents the inner diameter of the drill bit; Flow rate, the calculation formula in the drilling tool is The annulus calculation formula is: Drilling fluid friction coefficient, laminar flow ≤ 2100, the calculation formula in the drill tool is: The annulus calculation formula is: Drilling fluid friction coefficient, turbulence ≧ 2100, calculated by: Reynolds number, the calculation formula in the drill bit is The annulus calculation formula is: Apparent viscosity, calculated in drilling tools, is The annulus calculation formula is: Fluidity index, the calculation formula in the drill bit is: The annulus calculation formula is: The calculation formula of the consistency coefficient in the drill bit is: The annulus calculation formula is: Where Q is the drilling fluid displacement, m 3 / s; R 600 It is the reading of the drilling fluid at a rotational viscometer speed of 600 r / min, dimensionless; R 300 It is the reading of the drilling fluid at a rotational viscometer speed of 300 r / min, dimensionless; R 100 It is the reading of the drilling fluid at a rotational viscometer speed of 100 r / min, dimensionless; R3 is the drilling fluid reading at a rotational viscometer speed of 3 r / min, dimensionless; For the hook load and torque, the calculation process of the relevant parameters is: Recursive calculation of hook load T1 in the drilling and drilling conditions: F=(N r +N G )×f'; T1=T2+W y ±F; Recursive calculation of hook load T1' and torque M in eye-reaming condition: F=(N r +N G )×f'; T1'=T2+W y ±F; M=0.5(N r +N G )×f'×D; In the formula, F represents the friction resistance of the unit string, N r Indicates the contact normal pressure between the unit string and the well wall, N G represents the rigid positive pressure, f' represents the comprehensive friction coefficient between the drill string and the wellbore, T2 represents the axial force at the lower end of the unit string, W y Indicates the weight of the drilling tool in the tangential direction; Recursive calculation of load and torque of rotary drilling hook: Under rotary drilling conditions, the pipe string has axial movement and rotation. It is treated as a normal reaming condition. Due to the existence of drilling pressure, the axial force at the lower end of the lowest unit pipe string; Recursive calculation of hook load in sliding drilling conditions: Under the sliding drilling condition, the pipe string only moves axially downward. According to the drilling condition, due to the existence of drilling pressure, the axial force at the lower end of the lowest unit pipe string; Wherein, the drilling risk analysis module is specifically used for: The deviation value, deviation rate, change value and change rate of the actual data of the actual drilling state and the predicted data of the drilling state are calculated as follows: Y 偏差值 =X 实际 -X 预测 ; Y 变化值 =X2-X1; Among them, X 预测 is the predicted hook load, torque, and riser pressure values. The hook load unit is N, the torque unit is N·m, and the riser pressure unit is Pa; X 实际 The hook load, torque and riser pressure values ​​actually collected. The hook load unit is N, the torque unit is N·m, and the riser pressure unit is Pa; X1 is the average value of the hook load, torque and riser pressure in the first cycle. The default time interval of the first cycle is 30s. The unit of the hook load is N, the unit of the torque is N·m, and the unit of the riser pressure is Pa. X2 is the average value of the hook load, torque and riser pressure in the second cycle. The default time interval of the second cycle is 30s. The unit of the hook load is N, the unit of the torque is N·m, and the unit of the riser pressure is Pa. According to the deviation value, deviation rate, change value and change rate of the actual data of the actual drilling state and the predicted data of the drilling state, a wellbore stuck drill risk warning index is formed by using a stuck drill risk warning model; According to the drilling risk index, a risk treatment plan is quantified. When the index is less than A%, it is set to low risk, prompting normal drilling operations; when the index is greater than A% and less than B%, it is set to medium risk, prompting on-site operators to pay attention to changes in wellbore conditions; when the index is greater than B%, it is set to high risk, prompting on-site operators to start pump circulation, slowly lift and lower, and continue to observe; The drilling rehearsal is performed according to the actual data of the actual drilling status, the drilling risk index is determined according to the drilling rehearsal result, and the drilling operation plan is optimized according to the risk treatment plan corresponding to the drilling risk index, including: Perform drilling preview based on real-time data of drilling status to obtain drilling preview results; Conduct sensitivity analysis based on drilling rehearsal results to determine bottom hole drilling pressure and torque parameters to avoid drilling accident risks, and determine the wellbore sticking risk index after completing wellbore friction coefficient verification; The drilling operation plan is optimized according to the risk treatment plan corresponding to the drilling risk index; among them, the real-time wellbore data is introduced into the digital well condition prediction process, and the subsequent drilling plan is pre-diagnosed according to the digital well condition prediction process to obtain the risk index of the subsequent construction well section, and the operation parameters under low-risk conditions are obtained according to the risk index to guide the next drilling construction.

4. The device according to claim 3, characterized in that The multivariate data acquisition module is specifically used for: Receive real-time data from the drilling wellbore through integrated logging instruments and LWD / MWD instruments; Establish standard real-time data objects of drilling wellbore according to time, depth, working conditions and professions and design corresponding relational data table structures. Build a database according to the relational database structure to store real-time data of drilling wellbore; The actual data of the actual drilling status is described according to the real-time data of the drilling wellbore; wherein the actual data of the actual drilling status at least includes: hook load, torque and riser pressure.

5. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 2 is implemented.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 2 is implemented.

7. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 2 is implemented.

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