CN116842765B - Method and system for realizing underground safety management of petroleum logging based on Internet of things - Google Patents
Method and system for realizing underground safety management of petroleum logging based on Internet of things Download PDFInfo
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Abstract
The invention relates to the field of security management, and discloses a method and a system for realizing underground security management of petroleum logging based on the Internet of things, wherein the method comprises the following steps: constructing an underground scene of petroleum underground to be detected; identifying an underground temperature value, an underground pressure value, underground gas and an underground structure of an underground scene, constructing an underground simulated temperature and pressure environment of petroleum to be detected, and calculating the equipment compression resistance of the detection equipment in the simulated temperature and pressure environment; identifying the type of underground gas, extracting harmful gas in the underground gas, calculating the gas hazard threshold of the harmful gas, and optimizing the detection equipment to obtain optimized detection equipment; marking a structurally weak node of an underground scene, and constructing a safe operation path of operators underground to be detected; and constructing remote operation paths of the optimized detection equipment and the command center, configuring detection commands for the optimized detection equipment, and executing safety detection on the underground petroleum to be detected. The invention can improve the safety of underground petroleum detection.
Description
Technical Field
The invention relates to the field of safety management, in particular to a method and a system for realizing underground petroleum logging based on the Internet of things.
Background
Petroleum logging refers to the process of underground environment for logging operation in petroleum exploration and exploitation process, and can provide key geological and engineering data to support development and production decision of oil field.
The existing underground safety management method for petroleum logging is mainly realized by collecting underground data to analyze underground environment, and arranging workers to conduct safety detection after the underground environment is clear.
Disclosure of Invention
The invention provides a method and a system for realizing underground petroleum logging safety management based on the Internet of things, and mainly aims to improve the safety of underground petroleum detection.
In order to achieve the above purpose, the invention provides a method for realizing underground safety management of petroleum logging based on the internet of things, which comprises the following steps:
acquiring underground data of the petroleum underground to be detected, preprocessing the underground data to obtain target underground data, mining a data association relation of the target underground data, and constructing an underground scene of the petroleum underground to be detected according to the data association relation;
According to the target underground data, identifying an underground temperature value, an underground pressure value, underground gas and an underground structure of the underground scene, constructing an underground simulated temperature-pressure environment of the petroleum to be detected according to the underground temperature value and the underground pressure value, and calculating the equipment compression resistance of preset detection equipment in the simulated temperature-pressure environment;
identifying the underground gas category of the underground gas, extracting harmful gas in the underground gas according to the underground gas category, calculating a gas hazard threshold of the harmful gas, and optimizing the detection equipment according to the equipment compression resistance and the gas hazard threshold to obtain optimized detection equipment;
marking a structure weak node of the underground scene according to the underground structure, and constructing a safe operation path for operators under the underground petroleum to be detected according to the structure weak node;
and constructing a remote operation path of the optimized detection equipment and a preset command center, configuring a detection command for the optimized detection equipment by using the command center through the remote operation path and the safety operation path, and executing safety detection for the petroleum underground to be detected through the detection command.
Optionally, the preprocessing the downhole data to obtain target downhole data includes:
carrying out data cleaning on the downhole data to obtain cleaned downhole data;
performing data smoothing on the cleaned downhole data to obtain smoothed downhole data;
carrying out data integration on the smooth underground data to obtain integrated underground data;
checking the data validity of the integrated downhole data;
and screening target downhole data of the integrated downhole data based on the data validity.
Optionally, the performing data smoothing on the cleaned downhole data to obtain smoothed downhole data includes:
establishing a time axis for cleaning downhole data;
marking a data original value of the clean-up downhole data on the time axis;
calculating an exponential smoothing value of the cleaned downhole data according to the data original value and the time axis by using the following formula:
；
wherein,an exponentially smoothed value representing +.>Representing the smoothing coefficient (0)< α<1），/>Represents the original value of the data at time t, < >>Indicated at the time point +.>-exponential smoothing value of 1 ∈1>Representing the corresponding +.>Time points.
Optionally, the mining the data association relationship of the target downhole data includes:
Extracting key data of the target underground data;
identifying key data features of the key data;
calculating a data correlation value of the key data according to the key data characteristics;
and analyzing the data association relation of the key data according to the data correlation value.
Optionally, the calculating the data correlation value of the key data according to the key data feature includes:
mapping the space feature vector of the key data feature;
marking the space vector coordinates of the space feature vector;
constructing a correlation curve of the key data according to the space vector coordinates;
according to the correlation curve and the space vector coordinates, calculating a data correlation value of the key data by using the following formula:
；
wherein,representing data related values, +.>Representing a hyperbolic sine function +.>Indicate->Space vector coordinates>Indicate->The abscissa of the individual space vector coordinates, +.>Indicate->Ordinate of the individual space vector coordinates, +.>Curve maximum representing the correlation curve, +.>The curve minimum representing the correlation curve.
Optionally, the calculating the device compression resistance of the preset detecting device in the simulated temperature and pressure environment includes:
Scanning the appearance state of the detection equipment in the simulated temperature and pressure environment;
calculating the equipment yield of the detection equipment according to the appearance state of the equipment;
identifying the equipment operation state of the detection equipment in the simulated temperature and pressure environment;
marking the abnormal state of the equipment in the running state of the equipment;
and analyzing the equipment compression resistance of the detection equipment in the simulated temperature and pressure environment according to the equipment yield and the equipment abnormal state.
Optionally, the calculating the gas hazard threshold of the harmful gas includes:
identifying a harmful chemical factor of the harmful gas;
retrieving the factor concentration of the detrimental chemical factor;
analyzing factor characteristics of the harmful chemical factors;
calculating the factor persistence and fluidity of the harmful chemical factors according to the factor characteristics;
and calculating a gas hazard threshold of the harmful gas according to the factor persistence, the fluidity and the factor concentration.
Optionally, the calculating the gas hazard threshold of the harmful gas according to the factor persistence, the fluidity, and the factor concentration includes:
analyzing the harmful duration of the harmful gas corresponding to the harmful chemical factor according to the factor duration;
Calculating the harmful diffusion efficiency of the harmful gas corresponding to the harmful chemical factors according to the fluidity;
calculating a gas hazard threshold for the hazardous gas from the hazardous duration, the hazardous diffusion efficiency, and the factor concentration using the formula:
；
wherein,representing a gas hazard threshold, +.>Indicate->The harmful gases correspond to the harmful duration of the harmful chemical factors, < >>Indicating the amount of harmful gases, +.>Indicate->Harmful gas->Indicate->Harmful diffusion efficiency of individual harmful gases corresponding to harmful chemical factors, < >>Indicate->And environmental impact factors.
Optionally, the marking the structurally weak node of the downhole scene according to the downhole structure includes:
configuring an infrared detection environment of the underground scene according to the underground structure;
based on the infrared detection environment, carrying out infrared high-frequency detection on the underground scene to obtain an infrared frequency signal;
converting the infrared frequency signal into data to obtain a digital signal;
analyzing the internal structure of the downhole scene according to the digital signal;
marking the structurally weak nodes in the internal structure.
In order to solve the above problems, the present invention further provides a system for implementing downhole security management of petroleum logging based on the internet of things, the system comprising:
The underground scene construction module is used for collecting underground data of the petroleum underground to be detected, preprocessing the underground data to obtain target underground data, mining a data association relation of the target underground data, and constructing an underground scene of the petroleum underground to be detected according to the data association relation;
the equipment compression resistance testing module is used for identifying an underground temperature value, an underground pressure value, underground gas and an underground structure of the underground scene according to the target underground data, constructing an underground simulated temperature-pressure environment of the petroleum to be detected according to the underground temperature value and the underground pressure value, and calculating the equipment compression resistance of the preset detection equipment in the simulated temperature-pressure environment;
the detection equipment optimizing module is used for identifying the underground gas category of the underground gas, extracting harmful gas in the underground gas according to the underground gas category, calculating a gas hazard threshold of the harmful gas, and optimizing the detection equipment according to the equipment compression resistance and the gas hazard threshold to obtain optimized detection equipment;
the operation path construction module is used for marking the structure weak node of the underground scene according to the underground structure and constructing a safe operation path for the operator under the petroleum well to be detected according to the structure weak node;
And the petroleum underground detection module is used for constructing a remote operation path of the optimized detection equipment and a preset command center, configuring a detection command for the optimized detection equipment by using the command center through the remote operation path and the safety operation path, and executing safety detection for the petroleum underground to be detected through the detection command.
According to the embodiment of the invention, the downhole data is preprocessed to obtain the target data which can be obtained after a series of operations such as invalid value deletion, missing value repair and the like are performed on the downhole data, so that the validity of the downhole data is ensured; further, the embodiment of the invention can analyze the data association logic of the target underground by mining the data association relation of the target underground data, thereby providing a data basis for data analysis in the later period; the pressure resistance of the equipment in the simulated temperature and pressure environment; further, according to the embodiment of the invention, the basic characteristics of the underground scene can be analyzed by identifying the underground temperature value, the underground pressure value, the underground gas and the underground structure of the underground scene according to the target underground data, so that data support is provided for the underground safety detection in the later period; further, according to the embodiment of the invention, whether the detection equipment can be normally used in the simulated temperature and pressure environment can be better tested by constructing the simulated temperature and pressure environment of the petroleum underground to be detected according to the underground temperature value and the underground pressure value, so that the safety of the petroleum underground detection is improved. Therefore, the method and the system for realizing the safety management of the petroleum underground logging based on the Internet of things can improve the safety of the petroleum underground detection.
Drawings
Fig. 1 is a schematic flow chart of a method for implementing downhole security management of petroleum logging based on internet of things according to an embodiment of the present application;
FIG. 2 is a functional block diagram of a system for implementing downhole security management of petroleum logging based on Internet of things according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device for implementing a downhole security management system for petroleum logging based on the internet of things according to an embodiment of the present application;
the achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment of the application provides a method for realizing underground safety management of petroleum logging based on the Internet of things. The execution main body of the method for realizing the downhole safety management of petroleum based on the Internet of things comprises at least one of electronic equipment, such as a server, a terminal and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the method for implementing downhole security management of petroleum logging based on the internet of things can be executed by software or hardware installed in a terminal device or a server device, and the software can be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Referring to fig. 1, a flow chart of a method for implementing downhole security management of petroleum logging based on internet of things according to an embodiment of the present invention is shown. In this embodiment, the method for implementing downhole security management of petroleum logging based on the internet of things includes:
s1, acquiring underground data of the petroleum underground to be detected, preprocessing the underground data to obtain target underground data, mining a data association relation of the target underground data, and constructing an underground scene of the petroleum underground to be detected according to the data association relation.
In the embodiment of the invention, the underground petroleum to be detected refers to an underground part which is not yet mined in the petroleum exploitation process, and the underground data refers to a data set of the underground petroleum measured by a sensor.
According to the embodiment of the invention, the target underground data is obtained by preprocessing the underground data, and the target data can be obtained after a series of operations such as invalid value deletion, missing value repair and the like are performed on the underground data, so that the effectiveness of the underground data is ensured. The target downhole data refers to a data set obtained by performing data processing on the downhole data.
As an embodiment of the present invention, the preprocessing the downhole data to obtain target downhole data includes: carrying out data cleaning on the downhole data to obtain cleaned downhole data; performing data smoothing on the cleaned downhole data to obtain smoothed downhole data; carrying out data integration on the smooth underground data to obtain integrated underground data; checking the data validity of the integrated downhole data; and screening target downhole data of the integrated downhole data based on the data validity.
The method comprises the steps of processing invalid information, irregular column names and inconsistent formats of underground data, obtaining a data set after abnormal data such as repeated values, missing values and abnormal values exist in the underground data, smoothing the underground data to reduce noise and fluctuation of the underground data, and integrating the underground data to obtain the data set after the data sources and the formats of the smooth underground data are unified.
Further, in an optional implementation of the present invention, the performing data smoothing on the cleaned downhole data to obtain smoothed downhole data includes: establishing a time axis for cleaning downhole data; marking a data original value of the clean-up downhole data on the time axis; calculating an exponential smoothing value of the cleaned downhole data according to the data original value and the time axis by using the following formula:
；
wherein,an exponentially smoothed value representing +.>Representing the smoothing coefficient (0)< α<1），/>Represents the original value of the data at time t, < >>Indicated at the time point +.>-exponential smoothing value of 1 ∈1>Representing the corresponding +.>Time points.
Further, the embodiment of the invention can analyze the data association logic of the target underground by mining the data association relation of the target underground data, thereby providing a data basis for data analysis in the later period. Wherein the data association relationship is a logical relationship between data.
As one embodiment of the present invention, the mining the data association relationship of the target downhole data includes: extracting key data of the target underground data; identifying key data features of the key data; calculating a data correlation value of the key data according to the key data characteristics; and analyzing the data association relation of the key data according to the data correlation value.
The key data refers to a representative data set in the target downhole data, the key data features refer to data feature attributes of the key data, and the data correlation values refer to the degree of correlation between the key data.
Further, in an optional implementation of the present invention, the calculating a data correlation value of the critical data according to the critical data feature includes: mapping the space feature vector of the key data feature; marking the space vector coordinates of the space feature vector; constructing a correlation curve of the key data according to the space vector coordinates; according to the correlation curve and the space vector coordinates, calculating a data correlation value of the key data by using the following formula:
；
Wherein,representing data related values, +.>Representing a hyperbolic sine function +.>Indicate->Space vector coordinates>Indicate->The abscissa of the individual space vector coordinates, +.>Indicate->Ordinate of the individual space vector coordinates, +.>Curve maximum representing the correlation curve, +.>The curve minimum representing the correlation curve.
Further, according to the embodiment of the invention, the underground scene of the petroleum underground to be detected is constructed according to the data association relation, so that data support can be provided for underground detection in the later stage through the underground scene. The underground scene refers to an underground restoration scene constructed by collected underground data.
As an embodiment of the present invention, the constructing the downhole scenario of the downhole of the petroleum to be detected according to the data association relationship includes: constructing a geological model and a geophysical model of the petroleum underground to be detected according to the data association relation; and integrating the geological model and the geophysical model to obtain the underground scene of the underground petroleum to be detected.
The geological model refers to a constructed model of information including stratum distribution, lithology, structure and the like in the petroleum underground, and the geophysical model refers to a constructed model of information including seismic velocity, density, magnetism and the like.
Further, in an alternative implementation of the present invention, the construction of the geological model and the geophysical model of the petroleum downhole to be detected may be implemented by geological modeling software and Kingdom geophysical modeling software.
S2, identifying an underground temperature value, an underground pressure value, underground gas and an underground structure of the underground scene according to the target underground data, constructing an underground simulated temperature and pressure environment of the petroleum to be detected according to the underground temperature value and the underground pressure value, and calculating the equipment compression resistance of preset detection equipment in the simulated temperature and pressure environment.
Further, according to the embodiment of the invention, the downhole temperature value, the downhole pressure value, the downhole gas and the downhole structure of the downhole scene can be identified according to the target downhole data, so that the basic characteristics of the downhole scene can be analyzed, and data support is provided for the later-stage downhole safety detection. The downhole temperature value, the downhole pressure value and the downhole gas refer to temperature, pressure and air gas of the downhole scene, and the downhole structure refers to scene environment, structure and other characteristic structures of the downhole scene.
As one embodiment of the invention, the downhole temperature value, the downhole pressure value, the downhole gas, and the downhole structure identifying the downhole scenario from the target downhole data may be collected by sensors.
Furthermore, according to the embodiment of the invention, the temperature and pressure environment simulated under the petroleum well to be detected can be better tested to determine whether the detection equipment can be normally used in the temperature and pressure environment simulated under the petroleum well according to the underground temperature value and the underground pressure value, so that the safety of underground detection of the petroleum is improved. The temperature and pressure simulation environment refers to an environment scene by simulating the temperature and pressure of the underground scene.
As one embodiment of the present invention, the constructing the simulated temperature and pressure environment of the oil well to be detected according to the downhole temperature value and the downhole pressure value includes: constructing the simulated structure scene of the petroleum underground to be detected; and setting the temperature and the pressure of the simulated structural scene according to the underground temperature value and the underground pressure value to obtain the simulated temperature and pressure environment of the underground petroleum to be detected.
The simulation structure scene refers to a simulation scene simulating the underground structure of the petroleum to be detected.
Further, according to the embodiment of the invention, the compressive property of the detection equipment in the simulated temperature and pressure environment can be analyzed by calculating the compressive property of the preset detection equipment in the simulated temperature and pressure environment, so that whether the detection equipment can work normally or not is judged. Wherein the equipment compression resistance refers to the compression resistance of the detection equipment in the simulated warm-pressing environment.
As an embodiment of the present invention, the calculating the device compression resistance of the preset detecting device in the simulated warm-pressing environment includes: scanning the appearance state of the detection equipment in the simulated temperature and pressure environment; calculating the equipment yield of the detection equipment according to the appearance state of the equipment; identifying the equipment operation state of the detection equipment in the simulated temperature and pressure environment; marking the abnormal state of the equipment in the running state of the equipment; and analyzing the equipment compression resistance of the detection equipment in the simulated temperature and pressure environment according to the equipment yield and the equipment abnormal state.
The appearance state of the equipment refers to the appearance state of the detection equipment in the simulated warm-pressing environment, such as bending, slotting and the like, the yield of the equipment refers to the appearance transformation of the detection equipment in the simulated warm-pressing environment, the running state of the equipment refers to the working condition of the detection equipment in the simulated warm-pressing environment, and the abnormal state of the equipment refers to the running state of the detection equipment in the simulated warm-pressing environment, which is inconsistent with the normal working, such as power failure, short circuit and lighting of fault lamps.
Further, in an optional implementation of the present invention, the analyzing the device compressive resistance of the detecting device in the simulated temperature and pressure environment according to the device yield and the device abnormal state may be obtained by analyzing the device yield and the device abnormal state and comparing with a preset yield limit and an abnormal limit.
S3, identifying the underground gas category of the underground gas, extracting harmful gas in the underground gas according to the underground gas category, calculating a gas hazard threshold of the harmful gas, and optimizing the detection equipment according to the equipment compression resistance and the gas hazard threshold to obtain the optimized detection equipment.
Further, the embodiment of the invention can analyze the type of the gas by identifying the type of the underground gas to judge whether the gas has detection risk to the operator, thereby improving the detection safety of the detector on the underground petroleum. Wherein the downhole gas category refers to a gas type of the downhole gas.
As an embodiment of the present invention, the identifying the downhole gas category of the downhole gas may be achieved by a gas detector.
Further, according to the embodiment of the invention, the types of the harmful gases can be screened out by extracting the harmful gases in the underground gas according to the types of the underground gas, so that the underground gas is protected in a targeted manner. Wherein, the harmful gas refers to a gas harmful to human body or equipment.
As an embodiment of the present invention, the extracting the harmful gas in the downhole gas according to the downhole gas category may be implemented by a clustering function.
Further, according to the embodiment of the invention, the harm degree of the harmful gas can be analyzed by calculating the gas harm threshold value of the harmful gas, so that the gas coverage of operators and detection equipment is determined, and the safety of underground petroleum detection is improved. Wherein the gas hazard threshold refers to a flip range of the hazardous gas.
As an embodiment of the present invention, the calculating the gas hazard threshold of the harmful gas includes: identifying a harmful chemical factor of the harmful gas; retrieving the factor concentration of the detrimental chemical factor; analyzing factor characteristics of the harmful chemical factors; calculating the factor persistence and fluidity of the harmful chemical factors according to the factor characteristics; and calculating a gas hazard threshold of the harmful gas according to the factor persistence, the fluidity and the factor concentration.
Wherein the harmful chemical factor refers to a factor which is harmful in the harmful gas, the factor concentration refers to a concentration value of the harmful chemical factor in a specific range, the factor characteristic refers to a characteristic of the harmful chemical factor, the factor persistence refers to a sustainable time of the harmful chemical factor, and the fluidity refers to a diffusion efficiency of the harmful chemical factor.
Further, in an optional implementation of the present invention, the calculating the gas hazard threshold of the harmful gas according to the factor persistence, the fluidity, and the factor concentration includes: analyzing the harmful duration of the harmful gas corresponding to the harmful chemical factor according to the factor duration; calculating the harmful diffusion efficiency of the harmful gas corresponding to the harmful chemical factors according to the fluidity; calculating a gas hazard threshold for the hazardous gas from the hazardous duration, the hazardous diffusion efficiency, and the factor concentration using the formula:
；
wherein,representing a gas hazard threshold, +.>Indicate->The harmful gases correspond to the harmful duration of the harmful chemical factors, < >>Indicating the amount of harmful gases, +.>Indicate->Harmful gas->Indicate->Harmful diffusion efficiency of individual harmful gases corresponding to harmful chemical factors, < >>Indicate->And environmental impact factors.
Further, according to the embodiment of the invention, the detection equipment is optimized according to the equipment compression resistance and the gas hazard threshold value, so that the detection performance of the equipment can be improved by optimizing the detection equipment, and the detection safety index is improved. The optimized detection equipment is equipment obtained through performance optimization.
As an embodiment of the present invention, the optimizing the detecting device according to the device compression resistance and the gas hazard threshold value to obtain an optimized detecting device includes: constructing a material strengthening rule of the detection equipment according to the pressure resistance of the equipment; constructing a gas filtering rule of the detection equipment according to the gas hazard threshold; and optimizing the detection equipment based on the material strengthening rule and the gas filtering rule to obtain the optimized detection equipment.
Wherein the material strengthening rule is a rule for optimizing the material strength of equipment, and the gas filtering rule is a filtering rule constructed by a pointer on the protection of harmful gas of the equipment.
S4, marking a structure weak node of the underground scene according to the underground structure, and constructing a safe operation path for the operators under the underground petroleum to be detected according to the structure weak node.
Furthermore, according to the embodiment of the invention, the structural weak nodes of the underground scene can be marked according to the underground structure, so that dangerous nodes which are easy to occur in the detection process of the underground scene can be analyzed, and the safety of underground petroleum detection is improved. The weak structure node refers to weak structure coordinates of the underground scene.
As one embodiment of the present invention, the marking the structurally weak node of the downhole scene according to the downhole structure includes: configuring an infrared detection environment of the underground scene according to the underground structure; based on the infrared detection environment, carrying out infrared high-frequency detection on the underground scene to obtain an infrared frequency signal; converting the infrared frequency signal into data to obtain a digital signal; analyzing the internal structure of the downhole scene according to the digital signal; marking the structurally weak nodes in the internal structure.
The infrared detection environment is an infrared environment which is configured to detect underground scenes, the infrared frequency signals refer to infrared frequency signals through high-frequency infrared detection, the digital signals refer to signals which can be identified by a computer, and the internal structure refers to a structure in the underground scene geology.
Further, in an alternative implementation of the present invention, the data conversion of the infrared frequency signal to obtain a digital signal may be implemented by a signal encoding technique.
Furthermore, according to the embodiment of the invention, the safety operation path for the operators under the petroleum well to be detected is constructed according to the structurally weak node, so that the occurrence of dangerous situations caused by misoperation of the operators can be prevented, and the safety of the operators on the petroleum well detection is improved. The safe working path refers to a route and operation which can enable operators to conduct safe work.
According to the method, the safety operation path of the operator under the petroleum well to be detected is constructed according to the structural weak node, the safety area under the petroleum well to be detected can be marked through the structural weak node, and an optimal route of the safety area is calculated by utilizing an optimizing algorithm.
S5, constructing a remote operation path of the optimized detection equipment and a preset command center, configuring a detection command for the optimized detection equipment by using the command center through the remote operation path and the safety operation path, and executing safety detection for the petroleum to be detected underground through the detection command.
According to the embodiment of the invention, by constructing the remote operation path of the optimized detection equipment and the preset command center, the operator can be remotely controlled to detect, so that detection risks caused by misoperation of the operator are avoided. The remote operation path refers to a channel used by the command center to remotely control the detection equipment.
As an embodiment of the present invention, the construction of the remote operation path of the optimized probe device and the preset command center may be implemented through a communication network.
Furthermore, in the embodiment of the invention, the command center is utilized to configure the detection command for the optimized detection equipment through the remote operation path and the safety operation path, and the detection rule can be formulated firstly by executing the safety detection on the petroleum to be detected underground through the detection command, so that the detection efficiency is improved and the detection safety of operators is improved while the remote detection is carried out through the optimized detection equipment. The detection command refers to a detection rule, such as a detection step, a detection area and the like, which is formulated by the command center and is used for detecting the petroleum underground to be detected.
According to the embodiment of the invention, the downhole data is preprocessed to obtain the target data which can be obtained after a series of operations such as invalid value deletion, missing value repair and the like are performed on the downhole data, so that the validity of the downhole data is ensured; further, the embodiment of the invention can analyze the data association logic of the target underground by mining the data association relation of the target underground data, thereby providing a data basis for data analysis in the later period; the pressure resistance of the equipment in the simulated temperature and pressure environment; further, according to the embodiment of the invention, the basic characteristics of the underground scene can be analyzed by identifying the underground temperature value, the underground pressure value, the underground gas and the underground structure of the underground scene according to the target underground data, so that data support is provided for the underground safety detection in the later period; further, according to the embodiment of the invention, whether the detection equipment can be normally used in the simulated temperature and pressure environment can be better tested by constructing the simulated temperature and pressure environment of the petroleum underground to be detected according to the underground temperature value and the underground pressure value, so that the safety of the petroleum underground detection is improved. Therefore, the method for realizing the safety management of the petroleum underground based on the Internet of things can improve the safety of the petroleum underground detection.
Fig. 2 is a functional block diagram of a system for implementing downhole security management of petroleum logging based on internet of things according to an embodiment of the present invention.
The system 200 for realizing the underground petroleum logging based on the Internet of things can be installed in electronic equipment. Depending on the functions implemented, the system 200 for implementing downhole safety management of petroleum based on internet of things may include a downhole scenario construction module 201, a device compression resistance test module 202, a detection device optimization module 203, a working path construction module 204, and a downhole detection module 205 of petroleum. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the downhole scene construction module 201 is configured to collect downhole data of a petroleum well to be detected, pre-process the downhole data to obtain target downhole data, mine a data association relationship of the target downhole data, and construct a downhole scene of the petroleum well to be detected according to the data association relationship;
The device pressure resistance testing module 202 is configured to identify a downhole temperature value, a downhole pressure value, a downhole gas and a downhole structure of the downhole scene according to the target downhole data, construct a simulated temperature and pressure environment of the downhole of the petroleum to be detected according to the downhole temperature value and the downhole pressure value, and calculate a device pressure resistance of a preset detection device in the simulated temperature and pressure environment;
the detection device optimizing module 203 is configured to identify a downhole gas category of the downhole gas, extract a harmful gas in the downhole gas according to the downhole gas category, calculate a gas hazard threshold of the harmful gas, and optimize the detection device according to the device pressure resistance and the gas hazard threshold to obtain an optimized detection device;
the operation path construction module 204 is configured to mark a structurally weak node of the downhole scene according to the downhole structure, and construct a safe operation path for the operator under the downhole of the petroleum to be detected according to the structurally weak node;
the petroleum underground detection module 205 is configured to construct a remote operation path of the optimizing detection device and a preset command center, configure a detection command for the optimizing detection device by using the command center through the remote operation path and the safety operation path, and execute safety detection for the petroleum underground to be detected by using the detection command.
In detail, each module in the system 200 for implementing downhole security management of petroleum logging based on internet of things in the embodiment of the present invention adopts the same technical means as the method for implementing downhole security management of petroleum logging based on internet of things in the drawings when in use, and can produce the same technical effects, which are not described herein.
The embodiment of the invention provides electronic equipment for realizing a method for realizing downhole safety management of petroleum logging based on the Internet of things.
Referring to fig. 3, the electronic device may include a processor 30, a memory 31, a communication bus 32, and a communication interface 33, and may further include a computer program stored in the memory 31 and executable on the processor 30, such as a security management method program for implementing a petroleum logging based on the internet of things.
The processor may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing Unit, CPU), a microprocessor, a digital processing chip, a graphics processor, a combination of various control chips, and the like. The processor is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, executes or executes programs or modules stored in the memory (for example, executes a security management program for implementing petroleum logging based on the internet of things, etc.), and invokes data stored in the memory to perform various functions of the electronic device and process the data.
The memory includes at least one type of readable storage medium including flash memory, removable hard disk, multimedia card, card memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory may in other embodiments also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device. Further, the memory may also include both internal storage units and external storage devices of the electronic device. The memory can be used for storing application software installed in electronic equipment and various data, such as codes based on a safety management program for realizing petroleum logging based on the Internet of things, and can be used for temporarily storing data which are output or are to be output.
The communication bus may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory and at least one processor or the like.
The communication interface is used for communication between the electronic equipment and other equipment, and comprises a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
For example, although not shown, the electronic device may further include a power source (such as a battery) for powering the respective components, and preferably, the power source may be logically connected to the at least one processor through a power management system, so as to perform functions of charge management, discharge management, and power consumption management through the power management system. The power supply may also include one or more of any of a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The safety management program stored in the memory of the electronic device and used for realizing petroleum logging based on the internet of things is a combination of a plurality of instructions, and when the safety management program runs in the processor, the safety management program can realize:
acquiring underground data of the petroleum underground to be detected, preprocessing the underground data to obtain target underground data, mining a data association relation of the target underground data, and constructing an underground scene of the petroleum underground to be detected according to the data association relation;
according to the target underground data, identifying an underground temperature value, an underground pressure value, underground gas and an underground structure of the underground scene, constructing an underground simulated temperature-pressure environment of the petroleum to be detected according to the underground temperature value and the underground pressure value, and calculating the equipment compression resistance of preset detection equipment in the simulated temperature-pressure environment;
identifying the underground gas category of the underground gas, extracting harmful gas in the underground gas according to the underground gas category, calculating a gas hazard threshold of the harmful gas, and optimizing the detection equipment according to the equipment compression resistance and the gas hazard threshold to obtain optimized detection equipment;
Marking a structure weak node of the underground scene according to the underground structure, and constructing a safe operation path for operators under the underground petroleum to be detected according to the structure weak node;
and constructing a remote operation path of the optimized detection equipment and a preset command center, configuring a detection command for the optimized detection equipment by using the command center through the remote operation path and the safety operation path, and executing safety detection for the petroleum underground to be detected through the detection command.
Specifically, the specific implementation method of the above instruction by the processor may refer to descriptions of related steps in the corresponding embodiment of the drawings, which are not repeated herein.
Further, the electronic device integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
acquiring underground data of the petroleum underground to be detected, preprocessing the underground data to obtain target underground data, mining a data association relation of the target underground data, and constructing an underground scene of the petroleum underground to be detected according to the data association relation;
according to the target underground data, identifying an underground temperature value, an underground pressure value, underground gas and an underground structure of the underground scene, constructing an underground simulated temperature-pressure environment of the petroleum to be detected according to the underground temperature value and the underground pressure value, and calculating the equipment compression resistance of preset detection equipment in the simulated temperature-pressure environment;
identifying the underground gas category of the underground gas, extracting harmful gas in the underground gas according to the underground gas category, calculating a gas hazard threshold of the harmful gas, and optimizing the detection equipment according to the equipment compression resistance and the gas hazard threshold to obtain optimized detection equipment;
Marking a structure weak node of the underground scene according to the underground structure, and constructing a safe operation path for operators under the underground petroleum to be detected according to the structure weak node;
and constructing a remote operation path of the optimized detection equipment and a preset command center, configuring a detection command for the optimized detection equipment by using the command center through the remote operation path and the safety operation path, and executing safety detection for the petroleum underground to be detected through the detection command.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus, system and method may be implemented in other manners. For example, the system embodiments described above are merely illustrative, e.g., the division of the modules is merely a logical function division, and other manners of division may be implemented in practice.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. Multiple units or systems as set forth in the system claims may also be implemented by means of one unit or system in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. The method for realizing the underground safety management of the petroleum logging based on the Internet of things is characterized by comprising the following steps:
acquiring underground data of the petroleum underground to be detected, preprocessing the underground data to obtain target underground data, mining a data association relation of the target underground data, and constructing an underground scene of the petroleum underground to be detected according to the data association relation;
according to the target underground data, identifying an underground temperature value, an underground pressure value, underground gas and an underground structure of the underground scene, constructing an underground simulated temperature-pressure environment of the petroleum to be detected according to the underground temperature value and the underground pressure value, and calculating the equipment compression resistance of preset detection equipment in the simulated temperature-pressure environment;
Identifying the underground gas category of the underground gas, extracting harmful gas in the underground gas according to the underground gas category, calculating a gas hazard threshold of the harmful gas, and optimizing the detection equipment according to the equipment compression resistance and the gas hazard threshold to obtain optimized detection equipment;
marking a structure weak node of the underground scene according to the underground structure, and constructing a safe operation path for operators under the underground petroleum to be detected according to the structure weak node;
and constructing a remote operation path of the optimized detection equipment and a preset command center, configuring a detection command for the optimized detection equipment by using the command center through the remote operation path and the safety operation path, and executing safety detection for the petroleum underground to be detected through the detection command.
2. The method for implementing downhole safety management of petroleum based on internet of things according to claim 1, wherein the preprocessing the downhole data to obtain target downhole data comprises:
carrying out data cleaning on the downhole data to obtain cleaned downhole data;
performing data smoothing on the cleaned downhole data to obtain smoothed downhole data;
Carrying out data integration on the smooth underground data to obtain integrated underground data;
checking the data validity of the integrated downhole data;
and screening target downhole data of the integrated downhole data based on the data validity.
3. The method for implementing downhole safety management of petroleum based on internet of things according to claim 2, wherein the performing data smoothing on the cleaned downhole data to obtain smoothed downhole data comprises:
establishing a time axis for cleaning downhole data;
marking a data original value of the clean-up downhole data on the time axis;
calculating an exponential smoothing value of the cleaned downhole data according to the data original value and the time axis by using the following formula:
；
wherein,an exponentially smoothed value representing +.>Representing the smoothing coefficient (0)< /> < 1），/>Indicating time of dayData original value of the intermediate point t +.>Indicated at the time point +.>-exponential smoothing value of 1 ∈1>Representing the corresponding +.>Time points.
4. The method for implementing downhole safety management of petroleum based on internet of things according to claim 1, wherein the mining the data association relationship of the target downhole data comprises:
extracting key data of the target underground data;
Identifying key data features of the key data;
calculating a data correlation value of the key data according to the key data characteristics;
and analyzing the data association relation of the key data according to the data correlation value.
5. The method for implementing downhole security management of petroleum logging based on internet of things according to claim 4, wherein calculating the data-related value of the key data according to the key data feature comprises:
mapping the space feature vector of the key data feature;
marking the space vector coordinates of the space feature vector;
constructing a correlation curve of the key data according to the space vector coordinates;
according to the correlation curve and the space vector coordinates, calculating a data correlation value of the key data by using the following formula:
；
wherein,representing data related values, +.>Representing a hyperbolic sine function +.>Indicate->Space vector coordinates>Indicate->The abscissa of the individual space vector coordinates, +.>Indicate->Ordinate of the individual space vector coordinates, +.>Curve maximum representing the correlation curve, +.>The curve minimum representing the correlation curve.
6. The method for implementing downhole safety management of petroleum based on internet of things according to claim 1, wherein the calculating the device pressure resistance of the preset detection device in the simulated temperature and pressure environment comprises:
Scanning the appearance state of the detection equipment in the simulated temperature and pressure environment;
calculating the equipment yield of the detection equipment according to the appearance state of the equipment;
identifying the equipment operation state of the detection equipment in the simulated temperature and pressure environment;
marking the abnormal state of the equipment in the running state of the equipment;
and analyzing the equipment compression resistance of the detection equipment in the simulated temperature and pressure environment according to the equipment yield and the equipment abnormal state.
7. The method for implementing downhole safety management of petroleum based on internet of things according to claim 1, wherein the calculating the gas hazard threshold of the harmful gas comprises:
identifying a harmful chemical factor of the harmful gas;
retrieving the factor concentration of the detrimental chemical factor;
analyzing factor characteristics of the harmful chemical factors;
calculating the factor persistence and fluidity of the harmful chemical factors according to the factor characteristics;
and calculating a gas hazard threshold of the harmful gas according to the factor persistence, the fluidity and the factor concentration.
8. The method for implementing downhole safety management of petroleum based on internet of things according to claim 7, wherein the calculating the gas hazard threshold of the harmful gas according to the factor persistence, the fluidity, and the factor concentration comprises:
Analyzing the harmful duration of the harmful gas corresponding to the harmful chemical factor according to the factor duration;
calculating the harmful diffusion efficiency of the harmful gas corresponding to the harmful chemical factors according to the fluidity;
calculating a gas hazard threshold for the hazardous gas from the hazardous duration, the hazardous diffusion efficiency, and the factor concentration using the formula:
；
wherein,representing a gas hazard threshold, +.>Indicate->The harmful gases correspond to the harmful duration of the harmful chemical factors, < >>Indicating the amount of harmful gases, +.>Indicate->Harmful gas->Indicate->Harmful diffusion efficiency of individual harmful gases corresponding to harmful chemical factors, < >>Indicate->And environmental impact factors.
9. The method for implementing downhole safety management of petroleum based on internet of things according to claim 1, wherein the marking the structurally weak node of the downhole scene according to the downhole structure comprises:
configuring an infrared detection environment of the underground scene according to the underground structure;
based on the infrared detection environment, carrying out infrared high-frequency detection on the underground scene to obtain an infrared frequency signal;
converting the infrared frequency signal into data to obtain a digital signal;
Analyzing the internal structure of the downhole scene according to the digital signal;
marking the structurally weak nodes in the internal structure.
10. A security management system for implementing oil logging based on the internet of things, for executing the security management method for implementing oil logging based on the internet of things according to any one of claims 1 to 9, the system comprising:
the underground scene construction module is used for collecting underground data of the petroleum underground to be detected, preprocessing the underground data to obtain target underground data, mining a data association relation of the target underground data, and constructing an underground scene of the petroleum underground to be detected according to the data association relation;
the equipment compression resistance testing module is used for identifying an underground temperature value, an underground pressure value, underground gas and an underground structure of the underground scene according to the target underground data, constructing an underground simulated temperature-pressure environment of the petroleum to be detected according to the underground temperature value and the underground pressure value, and calculating the equipment compression resistance of the preset detection equipment in the simulated temperature-pressure environment;
the detection equipment optimizing module is used for identifying the underground gas category of the underground gas, extracting harmful gas in the underground gas according to the underground gas category, calculating a gas hazard threshold of the harmful gas, and optimizing the detection equipment according to the equipment compression resistance and the gas hazard threshold to obtain optimized detection equipment;
The operation path construction module is used for marking the structure weak node of the underground scene according to the underground structure and constructing a safe operation path for the operator under the petroleum well to be detected according to the structure weak node;
and the petroleum underground detection module is used for constructing a remote operation path of the optimized detection equipment and a preset command center, configuring a detection command for the optimized detection equipment by using the command center through the remote operation path and the safety operation path, and executing safety detection for the petroleum underground to be detected through the detection command.
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