7422 results about "Natural gas" patented technology

The invention relates to the technical field of petroleum and natural gas engineering, and discloses a wellbore life cycle management system and method, and the system comprises multiple modules of wellbore design, construction monitoring, integrity evaluation and the like. Accurate design parameters are generated by obtaining geological exploration data, multi-sensor data are collected in real time to guarantee construction safety, integrity is evaluated according to multi-source data, the corrosion rate is predicted, a time-space correlation algorithm is used for integrating data to recognize an abnormal coupling effect, then a risk level signal and an early warning instruction set are generated, and an optimization maintenance scheme is formulated. According to the method, the design accuracy and stability of the shaft can be remarkably improved, the condition of the shaft is comprehensively and accurately evaluated, corrosion is accurately predicted, and risk early warning and maintenance decision making are scientifically carried out. Meanwhile, the management efficiency is improved through visual display, many problems of traditional shaft management are effectively solved, the operation and maintenance cost is reduced, and the safety and economical efficiency of energy exploitation are improved.

The present invention relates to the technical field of oil and natural gas exploitation, and discloses a real-time monitoring and intelligent control system for hydraulic fracturing cracks in oil reservoirs, including: a real-time monitoring module, which is used to collect crack geometric morphology parameters and construction operation parameters in real time during crack expansion; a nonlinear modeling module, which is connected to the real-time monitoring module, and is used to construct a nonlinear dynamic model of crack expansion according to the collected crack expansion parameters and construction operation parameters, and output a predicted value of crack morphology; an optimization control module, which is connected to the nonlinear modeling module, and is used to calculate the optimized construction parameters according to the nonlinear dynamic model, including injection pressure, injection flow rate and viscosity of fracturing fluid. The present invention realizes precise control of crack expansion, intelligent optimization of construction parameters and efficiency improvement through the closed-loop linkage of real-time monitoring, nonlinear modeling, optimization control and feedback execution.

The invention provides a natural gas pipeline leakage probability calculation method and system based on a genetic algorithm, and relates to the technical field of probability calculation, and the method comprises the steps: collecting pipeline operation parameters, building a pipeline structure dynamic stress model, a material fatigue model and a corrosion damage model, carrying out the coupling analysis of the three models, and obtaining a risk assessment parameter matrix; a leakage risk assessment initial model is constructed as a fitness function, and a leakage probability calculation model is obtained through genetic algorithm optimization. According to the method, the pipeline leakage risk can be accurately predicted, accurate evaluation and early warning of pipeline safety are realized, and the pipeline operation safety is improved.

The invention relates to the technical field of pipeline stress fatigue detection, and discloses a natural gas station elbow tee joint stress fatigue digital intelligent analysis method and system and a product. The method comprises the following steps: establishing a multi-physics field coupling digital twinborn model of the elbow tee joint, integrating a geometric structure, material attributes and a fluid-solid coupling mechanism, and simulating flow-induced vibration stress and corrosion fatigue interaction; collecting real-time multi-source data of the elbow tee joint; real-time multi-source data is utilized to update boundary conditions and parameters of the digital twin model, and material constants are dynamically corrected through machine learning, so that self-calibration of the model is realized; performing stress distribution analysis based on the updated model to obtain stress field data, and performing fatigue crack propagation prediction in combination with real-time multi-source data to generate a prediction result; and based on the prediction result, evaluating fatigue failure risks, including crack growth rate, residual life evaluation and failure probability, and outputting alarm information or optimization decision information.

The invention discloses a distributed natural gas pipeline network safety monitoring system and method based on edge computing, and belongs to the field of natural gas pipeline network safety monitoring, and the method comprises the steps: deploying monitoring units at a plurality of target nodes of a natural gas pipeline network, collecting the operation data of a local node by each monitoring unit, and carrying out the multi-dimensional anomaly detection through a first deep learning model; a local security risk event is identified. And the monitoring unit uploads the node operation data and the security risk event to the cloud monitoring center. And the cloud end summarizes and analyzes the data of the plurality of monitoring units to obtain global operation data of the pipe network, and identifies global safety risks through a second deep learning model. And based on the global security risk identification result, the cloud generates a corresponding control instruction and issues the control instruction to the target monitoring unit. And an execution unit connected with the target monitoring unit executes a safety action according to the control instruction. According to the method, accurate, real-time and distributed safety monitoring of the natural gas pipeline network can be realized, and the operation safety and the risk prevention and control capability of the pipeline network are improved.

The invention provides an online calibration method and system for a flowmeter of a natural gas well, and belongs to the technical field of natural gas exploitation and transportation, firstly, a multiphase flow state sensing signal in a transportation pipeline of the natural gas well and a structural deformation monitoring signal of the flowmeter to be calibrated are obtained, and then interactive interference characteristic analysis is conducted on the two kinds of signals; the method comprises the following steps: obtaining a flow state-deformation interaction interference characteristic set, generating a multiphase flow adaptive calibration factor based on the flow state-deformation interaction interference characteristic set, inputting the multiphase flow adaptive calibration factor into a metering signal processing unit to dynamically correct an original metering signal, and obtaining a corrected metering output signal; and finally, collecting matching degree data of the correction signal and the real-time multiphase flow state sensing signal to form a calibration adaptive feedback signal, thereby comprehensively considering the influence of the multiphase flow state and structural deformation, and improving the metering precision and reliability of the flowmeter.

The invention relates to the technical field of pipeline safety monitoring, and discloses an online lossless real-time monitoring system for micro-strain of an in-service natural gas pipeline. A micro-strain data acquisition unit of the system acquires a micro-strain data set on the surface of the in-service natural gas pipeline in real time. And the three-dimensional strain field reconstruction unit receives the data set and executes three-dimensional strain field reconstruction processing to generate strain distribution characteristics of the pipeline. And the life prediction model analysis unit calls a pre-trained life prediction model to carry out nonlinear analysis processing on the strain distribution characteristics, and outputs a residual life prediction value and a key risk area identifier of the pipeline. The environmental factor compensation unit performs environmental factor compensation correction processing on the residual life prediction value to generate a corrected residual life prediction value. And the maintenance strategy generation unit generates a pipeline maintenance strategy set according to the key risk area identifier. According to the invention, real-time and accurate evaluation and intelligent maintenance decision support of the health condition of the pipeline are realized.

The invention discloses a shale oil reservoir geology-engineering double-dessert compressibility comprehensive evaluation method, and relates to the technical field of petroleum and natural gas yield increase transformation and geotechnical engineering, in particular to a shale oil reservoir geology-engineering double-dessert compressibility comprehensive evaluation method, which comprises the following steps of performing normalization processing on a logging basic parameter standard deviation; geological dessert parameters are established by calculating the weight of each factor; influence factors influencing the longitudinal expansion capacity of the hydraulic fracture of the target reservoir are obtained; constructing a geological-engineering double-dessert compressibility comprehensive evaluation model of three types of lithofacies'reservoir performance-transformation potential 'synergistic mechanisms; and establishing a geological-engineering double-dessert compressibility kernel density estimation map, and dividing the reservoir compressibility on the premise of adaptive bandwidth. According to the method, the operability and prediction precision of an evaluation result are remarkably improved, and an innovative decision support tool is provided for horizon optimization and scheme design of shale oil reservoir fracturing transformation.

An improved method and apparatus for removing acid gases and other impurities from raw biogas streams, such as biogas from landfills or biogas from controlled anaerobic digestion, is disclosed. The method provides efficient generation of high-purity renewable natural gas from raw biogas. The biogas is treated in a multi-stage membrane system integrated with compression equipment. The membrane separation units are arranged into interconnected high-pressure and low-pressure gas recycling loops powered by high-pressure and low-pressure compressors. The multi-stage membrane system can be integrated with deoxygenation and auxiliary nitrogen removal systems. The combined system provides for the generation of efficient contaminant removal from raw biogas to generate high-purity methane products with reduced compression energy consumption.

The invention discloses a big data-based natural gas pipeline maintenance optimization method and system, relates to the technical field of natural gas pipeline maintenance, and aims to construct a structured monitoring data set, construct a graph model of pipeline states and risk factors, establish a prediction model, introduce a memory mechanism to process low-frequency anomalies, and generate and optimize a maintenance scheduling scheme. According to the natural gas pipeline maintenance optimization method provided by the invention, the map model and the prediction model are constructed based on the multi-source monitoring data, the causal path between the pipeline operation state and the external risk factor can be identified, and the maintenance efficiency is improved. Maintenance task generation, early warning triggering and terminal linkage operation are completed through risk level evaluation and scheduling optimization, collected monitoring data are used for model training and map updating after being processed, a closed-loop management process is formed, and the method is suitable for natural gas pipeline state recognition and maintenance scheduling in various operation environments.

The invention belongs to the technical field of gas storages, and particularly relates to an experimental method and device for evaluating fault stability under injection-production alternating stress of a gas storage. The method comprises the following steps: acquiring reservoir information of a to-be-detected gas storage; making a three-dimensional model according to the reservoir information, and configuring model parameters according to formation water and natural gas initially injected into the three-dimensional model; an injection-production pipe is inserted into the three-dimensional model, the multi-cycle gas injection-production process is simulated, and fault changes in the three-dimensional model are monitored; and optimizing model parameters of the three-dimensional model according to the fault change condition, and determining optimal model parameters. A fault with any dip angle can be simulated, the experimental model comprises a whole geologic body simulating a gas storage, surrounding rocks including a cover layer and a bottom supporting layer and wrapping the periphery of a reservoir body, the reservoir is disconnected by the fault, the contact relation of the two reservoirs can be designed according to the actual condition of the stratum, and an injection-production well is designed in the model. The injection-production well simulates high-speed injection-production of the gas storage.

The invention relates to the technical field of natural gas energy management and safety monitoring, and discloses a safety detection system and method suitable for natural gas hydrogen doping, and the system comprises a data collection module which is arranged at a key node of a natural gas pipeline network, and is used for collecting the spectral data, temperature, humidity and pressure parameters of a natural gas hydrogen-doped mixed gas; the edge calculation module is arranged in the nodes of the data acquisition module and is used for carrying out real-time preprocessing, compression and aggregation on the acquired data; the central data analysis module communicates with the edge calculation module and is used for receiving and analyzing the processed data and carrying out gas component calculation and anomaly detection; and the calibration module is used for adjusting sampling parameters of the sensor based on the real-time environment parameters to ensure the detection precision. According to the invention, multi-mode real-time monitoring, dynamic calibration, efficient anomaly detection and intelligent safety feedback are realized, and the detection precision, response speed and system safety under complex working conditions are improved.

The invention discloses a natural gas pipeline intelligent pressure regulation and flow dynamic optimization system based on a PLC optimization system. The system comprises a data acquisition and monitoring module, a PLC core control module, an intelligent optimization algorithm module, a man-machine interaction module and a safety protection module. According to the method, the defects in the aspects of pressure regulation, flow distribution and safety risk in the prior art are overcome, a deep learning optimization layer is innovatively overlaid on the basis of a traditional PLC control layer through a PLC and AI fusion framework, and organic cooperation of hard real-time control and intelligent decision making is achieved. The PLC is responsible for rapidly and accurately controlling the equipment, the AI is used for analyzing complex data, predicting the trend and optimizing the control strategy, the intelligent level of the system is remarkably improved, and the safety coefficient can be automatically adjusted according to the pipeline aging degree. For example, the safety coefficient alpha of a new pipeline is set to be 1.0, and the safety coefficient alpha of the pipeline running for 10 years is adjusted to be 1.3, so that the safety and the reliability of the system are ensured under different pipeline states.

The invention relates to the technical field of natural gas pipelines, in particular to a natural gas pipeline intelligent electric valve control system which comprises a flow velocity linkage analysis module, a pressure difference structure analysis module, an energy consumption deviation diagnosis module, an abnormal state recognition module and an opening degree control module. According to the method, a cooperative judgment mechanism based on the flow velocity direction change frequency, the periodic fluctuation structure and the pressure-opening linkage trend is constructed, so that disturbance turning characteristics existing in the gas flow state can be accurately recognized, misjudgment caused by single trend response is avoided, and the accuracy of gas flow is improved. A multi-cycle peak-valley direction difference, structure inversion trend and amplitude stability combined identification mode is introduced in differential pressure monitoring, an asymmetric fracture mode hidden in pressure fluctuation can be clarified, and a synchronous judgment mechanism of the change proportion between torque and current and the relation between the change proportion and the rotating speed is introduced in power consumption detection. And the prediction capability of the energy consumption state in the continuous load evolution process is improved.

The invention provides a self-adaptive adjustment control system and method applied to natural gas flow calibration, and relates to the technical field of automatic control and adjustment systems.The method comprises the steps that real-time pipeline operation data are collected, and real-time flow state recognition is conducted to obtain real-time flow state data of a preset type; the instruction generation module is used for determining a trigger coefficient, judging whether a trigger condition is met or not, and generating a calibration trigger instruction if the trigger condition is met; the data optimization module is used for receiving a calibration trigger instruction, acquiring a current compensation parameter, generating a preliminary correction coefficient, calling reference data and determining a final optimization correction parameter set in combination with the calibration data packet; the calibration updating module is used for updating the real-time compensation algorithm, determining the deviation degree, and re-triggering the calibration process if the deviation degree exceeds a preset allowable range; and the process optimization module is used for extracting current key calibration data, calling historical calibration data, determining an optimal calibration period and optimizing the calibration process based on the optimal calibration period after the calibration process is finished. And the calibration precision and efficiency of the flowmeter are improved.

The invention relates to the technical field of rock mechanics and petroleum and natural gas engineering, and particularly discloses a hydraulic fracture fracturing monitoring system, method and device based on optical fiber monitoring, and the system comprises a hydraulic fracturing simulation platform which is used for applying three-dimensional stress to a hydraulic fracturing test piece so as to simulate a stratum stress environment; the fracturing fluid injection device is used for injecting pre-prepared fracturing fluid into the test piece, so that a crack in the test piece expands; a plurality of strain sensor groups embedded in the test piece in the preparation process of the test piece; the optical fiber sensing demodulation device is used for collecting strain data detected by the plurality of strain sensor groups; and the data processing device is in communication connection with the optical fiber sensing demodulation device and is used for acquiring the strain data and processing the strain data so as to determine real-time state data of crack expansion in the test piece. According to the scheme, the fracture strain can be monitored in real time, and the accuracy and controllability of the hydraulic fracturing process are improved.

The invention belongs to a monitoring method, and provides a real-time monitoring method for the amount of liquid accumulated in an oil pipe of a natural gas well and a related device aiming at the technical problems that whether accurate prediction is carried out or not cannot be judged and dynamic changes cannot be monitored in real time in two methods for judging the state of the liquid accumulated in the gas well at present. The method comprises the following steps: acquiring instantaneous wellhead oil pressure, instantaneous wellhead temperature, instantaneous gas production rate and instantaneous water production rate of a natural gas wellhead in real time, and then respectively determining a gas well water-gas ratio, natural gas phase real density, natural gas real kinematic viscosity, natural gas phase real flow rate, natural gas phase Reynolds number and non-dimensional liquid accumulation amount in an oil pipe; and obtaining the actual liquid phase content according to the non-dimensional liquid accumulation amount in the oil pipe, the diameter of the oil pipe and the depth of the oil pipe. Production structure parameters such as instantaneous gas production, instantaneous water production, instantaneous wellhead oil pressure, instantaneous wellhead temperature and the like which are easy to obtain on site can be directly utilized to obtain a liquid accumulation amount evolution dynamic curve of the gas well in the continuous production process.

The invention provides a device for simulating the influence of deep fracture on natural hydrogen migration and an evaluation method, and belongs to the technical field of natural gas exploitation, the device comprises a core holder, an overburden pressure tracking pump, a temperature control device, a hydrogen storage tank and a nuclear magnetic device; the core holder is provided with two connecting ends; each connecting end is provided with a pressure gauge; the overburden pressure tracking pump is respectively connected with the two connecting ends; the temperature control device is connected with the core holder; the hydrogen storage tank is respectively communicated with the two connecting ends; a flow density meter is arranged on a communicating pipeline between the hydrogen storage tank and each connecting end; the nuclear magnetic device is used for forming a uniform magnetic field area at the core holder and acquiring nuclear magnetic signals of hydrogen atoms in the loaded sample in the uniform magnetic field; the evaluation method is carried out by adopting the device. According to the device for simulating the influence of the deep fracture on the migration of the natural hydrogen and the evaluation method, the migration mode of the hydrogen in the fractured reservoir can be accurately tracked and determined, and obtained experimental data are more comprehensive and accurate.

The invention discloses a same-well water injection gas production system and process, and belongs to the technical field of oil and gas collection. The system comprises an injection-production pipe column system arranged in an underground well, and an underground pump arranged in the injection-production pipe column system and used for providing power for water injection and gas production in the underground well; the power liquid circulation system is arranged on the ground, communicates with the injection-production pipe column system and is used for providing lifting power for operation of the underground pump; the device comprises an injection-production string system, a gas-liquid separator, a packer, a one-way valve and an exhaust pipe, the packer separates an injection layer and a production layer of an underground well, the gas-liquid separator carries out gas-liquid separation on fluid of the production layer, the one-way valve is used for preventing liquid of the injection layer from entering the production layer, and the exhaust pipe is communicated with the injection-production string system; the device is mainly used for water injection gas production in the same well, the problems of invalid circulation and large energy waste due to the fact that drainage gas production water is lifted to the ground and then injected into the stratum are solved, natural gas originally exploited in uneconomic reservoirs can be exploited, and the economic service life of gas field exploitation is prolonged.

The invention discloses a rock nanoindentation numerical simulation method based on PFC discrete elements, and relates to an unconventional natural gas reservoir fracturing technology. Comprising the following steps: dynamically loading an iterative matching load-displacement curve based on XRD-SEM-EDS mineral spatial distribution of a rock sample and single mineral nanoindentation experimental data microscopic parameters; in combination with mineral space distribution data, constructing a multi-mineral heterogeneous model by stages, and dynamically loading simulation; based on crack number development, force chain distribution and particle displacement vector characteristics, a regulation and control mechanism of a mineral interface coupling effect and pore stress concentration on a crack propagation path is quantitatively analyzed. According to the invention, a heterogeneity evolution mechanism of force chain development and crack propagation in each stage of loading, load holding and unloading can be analyzed, and a dynamic mechanism that mineral components and pore structures cooperatively regulate and control a crack propagation path and nonlinear load response is disclosed; and a solution path is provided for rock microscopic damage mechanism prediction and heterogeneous material discrete element numerical simulation modeling.

Provided is a simulation method and system of joint exploitation of natural gas hydrate, shallow gas and deep-seated gas. The method includes: constructing a simulation model of joint exploitation of a shallow gas layer and a hydrate layer, including setting and meshing the shallow gas layer and the hydrate layer, constructing the simulation model of joint exploitation by setting a formation parameter and a production parameter, and solving the model to acquire productivity data; constructing a simulation model of joint exploitation of the shallow gas layer, the deep-seated gas layer and the hydrate layer, including setting and meshing the shallow gas layer, the deep-seated gas layer and the hydrate layer, constructing a simulation model of joint exploitation of the shallow gas layer, the deep-seated gas layer and the hydrate layer by setting the formation parameter and the production parameter, and solving the model to acquire productivity data.

The invention discloses a big data energy management method for intelligent monitoring of a community, and relates to the technical field of energy management, and the method is characterized in that through the hierarchical processing of community energy consumption data, the comprehensive analysis of a time dimension and a periodic rule is combined, and the energy use characteristics can be deeply mined. According to the processing mode, data of residential areas, public areas and commercial areas are layered, and detailed statistics is carried out according to categories of electric power, water resources, natural gas and the like, so that extraction of energy consumption characteristics is more targeted and systematic. Through time interval segmentation and clustering analysis, the behavior pattern of energy consumption is identified, and abnormal fluctuation characteristics are found in combination with entropy calculation, so that an abnormal source lower than a threshold value can be accurately positioned, and the efficiency and accuracy of troubleshooting are remarkably improved. Meanwhile, based on the dynamic prediction of the future energy consumption trend, in combination with the correlation analysis of the fluctuation region and the risk equipment, the potential problems in the energy consumption can be effectively pre-judged.

The invention provides a static mixer with a bionic starfish type inlet structure and a mixing method thereof. The static mixer comprises a shell, a cavity is formed in the shell, one end of the shell is provided with an air inlet communicating with one end of the cavity, and the other end of the shell is provided with an air outlet communicating with the other end of the cavity; an air inlet pipe set is arranged at the end, close to the air inlet, of the shell and comprises a center air inlet pipe extending in the axial direction and five peripheral air inlet pipes evenly distributed in the circumferential direction of the center air inlet pipe. The central air inlet pipe and the peripheral air inlet pipe form a bionic starfish type inlet structure for simulating a central disc and a radiation wrist structure of starfish; a plurality of spiral pieces arranged in the axial direction of the cavity are arranged in the cavity, and the arrangement angles of the adjacent spiral pieces are different. By means of the bionic starfish type inlet structure design, hydrogen is evenly dispersed to the whole mixing area, the mixing uniformity of natural gas and hydrogen is effectively improved, and meanwhile the risk of hydrogen embrittlement is delayed.

The present invention discloses a system and method for sensing leakage of hydrogen-blended natural gas pipelines based on dual physical fields. The system includes a DTS monitoring subsystem, a DVS monitoring subsystem, and a data fusion analysis module; wherein the DTS monitoring subsystem is used to obtain the temperature change rate data of the target pipeline, the DVS monitoring subsystem is used to obtain the dynamic strain data of the target pipeline, and the data fusion analysis module is used to analyze and fuse the obtained temperature change rate data and dynamic strain data to obtain the target pipeline damage leakage data. The present invention monitors temperature through DTS and vibration through DVS, calculates the leakage probability by fusing the temperature change rate and dynamic strain at the edge, and determines whether a leakage event occurs according to a preset probability threshold, thereby accurately warning of hydrogen-induced damage leakage accidents in hydrogen pipelines and accurately locating them.

The invention relates to a clean energy combustion technology, and aims to provide a rotational flow on-duty multi-element micro-mixing coupling type low-nitrogen combustion device for hydrogen-doped natural gas. Comprising an air cooling cavity, an air bin fixing cavity and a gas bin fixing cavity which are sequentially stacked from top to bottom. An on-duty combustion unit of a sleeve structure is arranged in the center of the burner in a penetrating mode, and micro-mixing combustion units, independent air bins and independent fuel gas bins are evenly arranged in the circumferential direction in a surrounding mode. A plurality of micro-mixing spray pipes are arranged in an air cooling sleeve of the micro-mixing combustion unit in the axial direction in an array mode, and fuel spray pipes are arranged on a second fixed disc in the axial direction in an array mode. The closed end of the fuel spray pipe extends into the micro-mixing spray pipe corresponding to the fuel spray pipe, and a fuel gas inlet is formed in the bottom of the fuel gas bin fixing cavity. After external air is introduced through an air circulation path from top to bottom to cool the head of the combustor, the heated air is mixed with fuel for combustion, and safe, efficient and low-emission application of natural gas large-proportion hydrogen-doped fuel is achieved.

The invention relates to the technical field of comprehensive energy systems, and particularly discloses a multi-source cooperative fault recovery control method for an electricity-gas comprehensive energy system, which aims at minimizing the sum of weighted power-loss load capacity, weighted gas-loss load capacity and network loss. A remote controllable switch of a power distribution network, opening and closing of a pipeline valve in a natural gas network and distributed energy output of an electricity-gas integrated energy system are used as control variables, corresponding constraint conditions are constructed for the power distribution network, the natural gas network and electrical coupling equipment, and a multi-source cooperative fault recovery problem is constructed. And an optimal recovery strategy is obtained by solving the multi-source collaborative fault recovery problem. According to the method, the characteristics of flexibility and coordination of the power-gas internet and the pipeline storage characteristic of the gas network are fully utilized, the power and gas load recovery state and the output of each distributed energy source are optimized in time, the system source load fluctuation can be effectively resisted, continuous supply of key loads is guaranteed, and the new energy utilization rate is increased.

A natural gas filling device reliable in sealing is disclosed. The device is characterized in that the device comprises a liquid filling gun, a liquid receiving component matched with the liquid filling gun and used for filling a gas cylinder with liquid, and a gas returning component communicated with the gas outlet of the gas cylinder; the liquid filling gun is provided with a first outer shell, a first rotating fastener disposed in the first outer shell and connected to the first outer shell and the inner wall of which is provided with a symmetrical spiral groove, a first valve body between the first rotating fastener and the first shell, and a first valve core disposed in the first valve body and containing a liquid inlet and a liquid outlet; and the liquid receiving component is provided with a first shell, wherein the head of the first shell extends into the first rotating fastener and is in sealing match with the tail part of the first valve body, and the periphery of the first shell is provided with a first pivot pin engaged with the spiral groove in the first rotating fastener. The device is convenient in maintenance, replacement and operation of quick-wear parts and convenient to use. The device can be used for other low-temperature liquid media besides LNG and is simple in structure, low in cost, convenient in operation and reliable in sealing.

The invention belongs to the technical field of pipelines, and provides an intelligent natural gas pipeline leakage monitoring system and method. The method comprises the following steps: calling monitoring data acquired by multiple types of monitoring sensors corresponding to a potential area and pipeline distribution structure data; acquiring environment data corresponding to the potential area, and obtaining a parameter weight group based on environment data matching; performing prediction processing on the pipeline pressure data set, the pipeline flow data set, the pipeline audio data set and the pipeline temperature data set by using the corresponding convolution model to obtain a leakage region set corresponding to each data set; performing joint probability analysis on each group of leakage areas and leakage probabilities based on the parameter weight group to obtain a plurality of target leakage areas; and outputting the target leakage area. According to the invention, through fusion and intelligent analysis of multi-source data, a leakage area can be accurately positioned; meanwhile, the parameter weights of different sensing data are dynamically adjusted based on the environmental data, the interference influence is reduced, and the prediction accuracy is improved.

The invention discloses a natural gas pipeline leakage detection method based on edge calculation, relates to the technical field of natural gas pipeline leakage detection, and remarkably improves the stability of edge side leakage detection through double innovations of dynamic multi-scale perception and space-time cooperative verification: a dynamic window mechanism breaks through the limitation of a fixed analysis window; through dual triggering of the energy accumulation rate and the pulse density, feature adaptability extraction of leakage events with different intensities is realized, and the missing report rate of tiny leakage is reduced; spatio-temporal fingerprint verification is combined with matching of pipeline stress wave propagation characteristics and sensor types, a physical conduction chain credibility evaluation system is constructed, and false alarm diffusion caused by regional interference is effectively inhibited; the environment entropy dynamic correction and the sensitivity strategy pool form closed-loop optimization, so that the system keeps stable detection performance under complex working conditions such as construction vibration and meteorological sudden change.

This high-pressure tank stores, inside a tank body, a mixed gas that contains natural gas and hydrogen, and that contains more than 2% hydrogen by volume. The tank body includes: a cylindrical part extending in a first direction; and a dome part connected to both ends of the cylindrical part in the first direction. The steel material constituting the tank body has a tensile strength TS of 850 MPa or higher, has a structure in which 95% or more by area ratio is tempered martensite, and includes carbides of 100 nm or less scattered in the metal structure as precipitates. The high-pressure tank has a strength of 11250 cycles or more in crack progress analysis, suppresses the influence of hydrogen embrittlement in metal, ensures gas storage capacity, and has a reduced weight.