Oil and gas field engineering construction risk real-time monitoring and safety early warning method and system
By collecting dynamic data from oil and gas field construction sites, a three-dimensional geological-equipment-personnel interactive model was established to analyze wellbore stability and pipeline stress, determine hydrogen sulfide diffusion paths, and achieve accurate early warning of construction risks in oil and gas field engineering, thereby improving safety and management efficiency.
Patent Information
- Application Number
- CN202511066977.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-31
- Publication Date
- 2025-11-11
AI Technical Summary
Traditional methods of risk monitoring and safety early warning in oil and gas field engineering construction are hampered by information lag, making it impossible to grasp real-time dynamic changes on site and comprehensively cover multiple factors such as geology, equipment, environment, and personnel, as well as their interactions, resulting in inaccurate risk warnings.
By collecting dynamic data from the oil and gas field under construction, establishing a three-dimensional geological-equipment-personnel interactive model, analyzing wellbore stability and pipeline bending stress, determining hydrogen sulfide diffusion paths, classifying regional risk levels, and generating personnel evacuation routes, accurate safety early warnings can be achieved.
It improved the timeliness and accuracy of risk identification, reduced the risk of accidents such as blowouts, leaks, explosions, and poisoning, ensured the safety of workers, reduced environmental pollution and property losses, and improved the safety level and management efficiency of engineering projects.
Smart Images
Figure CN120931085A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a method and system for real-time monitoring and safety early warning of construction risks in oil and gas field engineering, belonging to the field of remote monitoring technology. Background Technology
[0002] Real-time monitoring and safety early warning of risks in oil and gas field engineering construction refers to the continuous, dynamic, and real-time monitoring of various potential risk factors during the construction process of oil and gas field engineering (such as drilling, well completion, pipeline laying, and station construction) using modern information technology, sensor technology, big data analysis, and artificial intelligence. Based on the monitoring data and analysis results, it promptly and accurately identifies and assesses the risk level, and issues alarms or early warning information when the risk reaches or exceeds a preset threshold. Real-time monitoring and safety early warning of risks in oil and gas field engineering construction is a systematic project integrating advanced technologies and management concepts, aiming to provide a solid safety defense for high-risk oil and gas field construction activities.
[0003] Traditional methods for monitoring and warning of construction risks in oil and gas field projects typically rely on regular on-site manual inspections, monitoring of limited parameters using fixed sensors, and manual risk assessments based on experience or simple rules. These methods are information-lagging, unable to keep abreast of dynamic changes on-site, and difficult to comprehensively cover multiple factors such as geology, equipment, environment, and personnel and their interactions. They also have limited predictive capabilities for complex coupled risks, resulting in inaccurate early warnings of construction risks in oil and gas field projects. Summary of the Invention
[0004] This invention provides a method and system for real-time monitoring and safety early warning of construction risks in oil and gas field engineering, the main purpose of which is to improve the accuracy of early warning of construction risks in oil and gas field engineering.
[0005] To achieve the above objectives, the present invention provides a method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering, comprising: Collect dynamic data of the oil and gas field under construction, including geomechanical parameters, equipment operating status, environmental indicators and personnel positioning data, in order to extract the oil and gas field characteristics of the oil and gas field under construction. Based on the characteristics of the oil and gas field, a three-dimensional geological-equipment-personnel interaction model of the oil and gas field under construction is established, and the pipeline bending stress and wellbore stability of the oil and gas field under construction are analyzed based on the three-dimensional geological-equipment-personnel interaction model. Based on the wellbore stability and pipeline bending stress, the hydrogen sulfide diffusion path of the constructed oil and gas field is analyzed to determine the oil and gas field DRI of the constructed oil and gas field. Based on the DRI of the oil and gas field, the regional risk level of the oil and gas field under construction is divided, wherein the regional risk level includes green safe zone, yellow warning zone and red high risk zone, and warning parameters for yellow warning zone are generated. The three-dimensional gas concentration of the red high-risk area is plotted, and the personnel evacuation route corresponding to the red high-risk area of the oil and gas field under construction is generated. Based on the warning parameters and the personnel evacuation route, the safety warning of the oil and gas field under construction is executed.
[0006] Optionally, the extraction of oil and gas field features from the constructed oil and gas field includes: Based on the geomechanical parameters of the oil and gas field under construction, the formation stress gradient, fracture density, and lithological parameters of the oil and gas field under construction are analyzed. The pump efficiency coefficient, crack type, and corrosion rate of the oil and gas field under construction are analyzed based on the equipment operation status. Based on the environmental indicators of the oil and gas field under construction, the hydrogen sulfide concentration gradient of the oil and gas field under construction was analyzed. Based on the personnel location data of the oil and gas field under construction, analyze the personnel coordinates of the oil and gas field under construction; By combining the formation stress gradient, fracture density, lithological parameters, pump efficiency coefficient, crack type, corrosion rate, hydrogen sulfide concentration gradient, and personnel coordinates, the characteristics of the oil and gas field under construction are determined.
[0007] Optionally, the step of analyzing the pump efficiency coefficient, crack type, and corrosion rate of the oil and gas field through the equipment operating status of the field includes: Based on the operating status of the equipment, determine the actual volumetric efficiency and effective hydraulic power of the oil and gas field under construction; Based on the effective hydraulic power, the hydraulic efficiency of the constructed oil and gas field is analyzed; Based on the actual volumetric efficiency and the hydraulic efficiency, the pump efficiency coefficient of the constructed oil and gas field is calculated; Perform an FFT transformation on the microcrack state corresponding to the operating state of the device to obtain the transformed microcrack state; Based on the transformed microcrack state, the crack types of the constructed oil and gas field are analyzed; Extract corrosion factors from the operating state of the equipment; Based on the corrosion factor, the corrosion rate of the constructed oil and gas field was analyzed.
[0008] Optionally, the step of analyzing the corrosion rate of the oil and gas field under construction based on the corrosion factor includes: Based on the corrosion factors, the chemical corrosion coefficient, mechanical influence coefficient, and environmental influence coefficient of the oil and gas field under construction are determined. Based on the chemical corrosion coefficient, mechanical influence coefficient, and environmental influence coefficient, the corrosion risk score of the oil and gas field under construction is analyzed. Based on the chemical corrosion coefficient, the mechanical influence coefficient, the environmental influence coefficient, and the corrosion risk score, the corrosion rate of the oil and gas field under construction is calculated using the following formula:
[0009] in, This indicates the corrosion rate in the oil and gas field under construction. This indicates the chemical corrosion coefficient of the oil and gas field under construction. This represents the mechanical influence coefficient of the oil and gas field under construction. This indicates the stress during the construction of an oil and gas field. This indicates the elastic modulus of the oil and gas field under construction. This represents the environmental impact coefficient of the oil and gas field under construction. This indicates the corrosion risk score for the oil and gas field under construction. This indicates the weight of the corrosion risk score.
[0010] Optionally, establishing a three-dimensional geological-equipment-personnel interaction model of the oil and gas field based on its characteristics includes: Based on the formation stress gradient, fracture density, and lithological parameters corresponding to the characteristics of the oil and gas field, a three-dimensional geological model of the oil and gas field under construction is constructed. The pump efficiency coefficient, crack type, corrosion rate, and hydrogen sulfide concentration gradient corresponding to the oil and gas field characteristics are integrated into the three-dimensional geological model to obtain a three-dimensional geological-equipment interaction model. Convert the personnel coordinates corresponding to the oil and gas field features into a three-dimensional avatar; The 3D Avatar is then integrated into the 3D geological-equipment interaction model to obtain the 3D geological-equipment-personnel interaction model of the oil and gas field under construction.
[0011] Optionally, the analysis of pipeline bending stress and wellbore stability in the constructed oil and gas field based on the three-dimensional geological-equipment-personnel interaction model includes: Based on the three-dimensional geological-equipment-personnel interaction model, the formation displacement field, wellbore tangential stress, and wellbore radial stress of the constructed oil and gas field are output; The formation displacement field is mapped to the displacement boundary conditions of the three-dimensional geological-equipment-personnel interaction model to analyze the pipeline bending stress of the oil and gas field under construction. Analyze the shear strength of the rock in the oil and gas field under construction; The wellbore stability of the constructed oil and gas field is calculated based on the wellbore tangential stress, the wellbore radial stress, and the rock shear strength.
[0012] Optionally, the step of analyzing the hydrogen sulfide diffusion path of the constructed oil and gas field based on the wellbore stability and pipeline bending stress includes: Based on the wellbore stability and pipeline bending stress, the leakage parameters of the oil and gas field under construction are determined. Based on the leakage parameters, the initial hydrogen sulfide flow rate and leakage orifice diameter of the oil and gas field under construction were analyzed. The injection rate and leakage volume of the oil and gas field under construction are calculated using the initial flow rate of hydrogen sulfide and the leakage orifice diameter. Based on the injection rate and leakage volume, the hydrogen sulfide diffusion path of the constructed oil and gas field was analyzed.
[0013] Optionally, determining the DRI of the oil and gas field under construction includes: The peak concentration of hydrogen sulfide diffusion path in the constructed oil and gas field is marked; Based on the peak concentration along the diffusion path, the concentration exposure risk of the oil and gas field under construction is calculated. Analyze the personnel status along the hydrogen sulfide diffusion path; Based on the personnel status and the concentration exposure risk, the personnel risk of the oil and gas field under construction is analyzed; The DRI of the oil and gas field under construction is determined based on the concentration exposure risk and the personnel risk.
[0014] Optionally, generating personnel evacuation routes for the red high-risk zone corresponding to the oil and gas field under construction includes: The red high-risk areas are gridded to obtain gridded red high-risk areas; The three-dimensional gas concentration of the grid corresponding to the red high-risk area is converted into a grid risk value; Define the attenuation coefficient of the grid risk value; Based on the attenuation coefficient, a time-varying risk field is established for the red high-risk zone; Mark the target coordinates of the red high-risk area; Based on the personnel coordinates corresponding to the red high-risk zone, the target coordinates, and the time-varying risk field, an evacuation path for personnel in the red high-risk zone is generated.
[0015] To address the aforementioned problems, the present invention also provides a real-time monitoring and safety early warning system for oil and gas field engineering construction risks, the system comprising: The oil and gas field feature analysis module is used to collect dynamic data of the oil and gas field under construction. The dynamic data includes geomechanical parameters, equipment operating status, environmental indicators and personnel positioning data, in order to extract the oil and gas field features of the oil and gas field under construction. The internal analysis module of the oil and gas field is used to establish a three-dimensional geological-equipment-personnel interaction model of the oil and gas field under construction based on the characteristics of the oil and gas field, and to analyze the pipeline bending stress and wellbore stability of the oil and gas field under construction based on the three-dimensional geological-equipment-personnel interaction model. The oil and gas field DRI analysis module is used to analyze the hydrogen sulfide diffusion path of the oil and gas field under construction based on the wellbore stability and pipeline bending stress, so as to determine the oil and gas field DRI of the oil and gas field under construction. The early warning parameter generation module is used to classify the regional risk level of the oil and gas field under construction based on the DRI of the oil and gas field. The regional risk level includes green safe zone, yellow early warning zone and red high risk zone, and generates early warning parameters for the yellow early warning zone. The oil and gas field safety early warning module is used to map the three-dimensional gas concentration of the red high-risk area and generate personnel evacuation routes for the corresponding red high-risk area of the oil and gas field under construction. Based on the early warning parameters and the personnel evacuation routes, the module executes safety early warnings for the oil and gas field under construction.
[0016] First, it significantly improves the timeliness and accuracy of risk identification. By comprehensively collecting dynamic data on geology, equipment, environment, and personnel, and extracting oil and gas field characteristics, it can capture early signals of potential risks earlier and more comprehensively, overcoming the lag and limitations of traditional methods that rely on manual inspections and experience-based judgments. Second, the three-dimensional geological-equipment-personnel interaction model constructed based on the extracted features enables refined and visualized analysis of wellbore stability and pipeline stress distribution. This allows risk assessment to go beyond the surface and delve into the interaction between engineering structures and the geological environment, enabling a more scientific prediction of the possibility of structural instability or failure, providing strong data support for engineering decisions. Third, this scheme closely integrates risk assessment with specific hazards (such as hydrogen sulfide diffusion). By analyzing wellbore stability and pipeline stress, it infers the diffusion paths and concentration distribution of harmful gases such as hydrogen sulfide, quantifying them as the DRI (Difference Rate Indicator) of the oil and gas field, thus enabling the classification of risk levels (green, yellow, and red zones). This invention provides a more objective, dynamic, and realistic assessment of potential hazards. Furthermore, it employs differentiated measures for different risk levels, particularly the refined generation of parameters for yellow alert zones and the detailed processing of red high-risk zones, reflecting sophisticated and intelligent management. It maps the three-dimensional gas concentration distribution of red high-risk zones and dynamically generates evacuation routes, significantly improving the efficiency and effectiveness of emergency response and maximizing personnel safety. Finally, the entire process forms a closed-loop management system from data collection, model analysis, and risk assessment to early warning issuance and emergency guidance. This safety early warning system based on real-time data and intelligent models not only significantly reduces the risk of major accidents such as well blowouts, leaks, explosions, and poisoning during oil and gas field construction, ensuring the safety of workers, but also reduces potential environmental pollution and property damage, improving the overall safety level and management efficiency of the project and providing a solid technical guarantee for the safe and efficient construction of oil and gas fields. Therefore, this invention can improve the accuracy of risk early warning for oil and gas field construction. Attached Figure Description
[0017] Figure 1 This is a flowchart illustrating a method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering, provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of a module for implementing the method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering, according to an embodiment of the present invention.
[0018] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation
[0019] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
[0020] This application provides a method for real-time monitoring and safety early warning of risks in oil and gas field engineering construction. The executing entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.
[0021] Reference Figure 1 The diagram shown is a flowchart illustrating a method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering, provided in an embodiment of the present invention. In this embodiment, the method includes: S1. Collect dynamic data of the oil and gas field under construction, wherein the dynamic data includes geomechanical parameters, equipment operating status, environmental indicators and personnel positioning data, in order to extract the oil and gas field characteristics of the oil and gas field under construction.
[0022] It should be explained that the "construction oil and gas field" refers to an oil and gas field area where exploration, development, construction, or maintenance engineering activities are underway; the "geomechanical parameters" refer to physical quantities describing the mechanical properties of underground rocks and formations, including formation pressure, formation temperature, and rock mechanical properties; the "equipment operating status" refers to the real-time operating status of various mechanical, electrical, and instrumentation equipment at the construction site, including parameters such as drilling rig parameters, pumping system parameters, pipeline parameters, and power equipment parameters; the "environmental indicators" refer to the real-time conditions of the natural environment around the construction site, such as the atmosphere, water bodies, and soil, as well as the working environment, including meteorological conditions, atmospheric composition, and noise levels; and the "personnel positioning data" refers to the real-time acquisition of precise location information of personnel working at the construction site through GPS, Bluetooth beacons, RFID, UWB (ultra-wideband), or other positioning technologies.
[0023] The present invention extracts the characteristics of the oil and gas field under construction, which can capture early signals of potential risks earlier and more comprehensively, overcoming the lag and limitations of traditional methods that rely on manual inspection and experience judgment.
[0024] Specifically, the extraction of oil and gas field features from the constructed oil and gas field includes: Based on the geomechanical parameters of the oil and gas field under construction, the formation stress gradient, fracture density, and lithological parameters of the oil and gas field under construction are analyzed. The pump efficiency coefficient, crack type, and corrosion rate of the oil and gas field under construction are analyzed based on the equipment operation status. Based on the environmental indicators of the oil and gas field under construction, the hydrogen sulfide concentration gradient of the oil and gas field under construction was analyzed. Based on the personnel location data of the oil and gas field under construction, analyze the personnel coordinates of the oil and gas field under construction; By combining the formation stress gradient, fracture density, lithological parameters, pump efficiency coefficient, crack type, corrosion rate, hydrogen sulfide concentration gradient, and personnel coordinates, the characteristics of the oil and gas field under construction are determined.
[0025] Wherein, the formation stress gradient refers to the rate of change of formation stress per unit depth; the fracture density refers to the number of natural or induced fractures per unit volume of rock; the lithological parameters refer to indicators describing the physical properties of rocks, including brittleness index, Poisson's ratio, porosity, etc.; the pump efficiency coefficient refers to the ratio of actual pumping efficiency to theoretical maximum efficiency; the crack types include normal, wear, and fracture; the corrosion rate refers to the rate of thickness loss of metal pipes due to chemical / electrochemical reactions; the hydrogen sulfide concentration gradient refers to the rate of change of hydrogen sulfide concentration in space; and the personnel coordinates refer to the three-dimensional spatial position of the workers.
[0026] Optionally, the analysis of formation stress gradient, fracture density, and lithological parameters of the constructed oil and gas field based on its geomechanical parameters can be performed by analyzing formation stress recorded by downhole pressure gauges. The fracture density can be scanned by imaging logging (FMI / EMI), and the lithological parameters can be obtained by logging curves, X-ray diffraction (XRD) mineral analysis, and core laboratory testing.
[0027] Furthermore, the analysis of the pump efficiency coefficient, crack type, and corrosion rate of the oil and gas field based on the equipment operating status includes: Based on the operating status of the equipment, determine the actual volumetric efficiency and effective hydraulic power of the oil and gas field under construction; Based on the effective hydraulic power, the hydraulic efficiency of the constructed oil and gas field is analyzed; Based on the actual volumetric efficiency and the hydraulic efficiency, the pump efficiency coefficient of the constructed oil and gas field is calculated; Perform an FFT transformation on the microcrack state corresponding to the operating state of the device to obtain the transformed microcrack state; Based on the transformed microcrack state, the crack types of the constructed oil and gas field are analyzed; Extract corrosion factors from the operating state of the equipment; Based on the corrosion factor, the corrosion rate of the constructed oil and gas field was analyzed.
[0028] The actual volumetric efficiency refers to the ratio of the pump's actual output flow rate to its theoretical design flow rate, reflecting volumetric losses caused by pump leakage, gas compression effects, etc. The effective hydraulic power refers to the actual power transferred by the pump to the fluid, and the hydraulic efficiency is the ratio of effective hydraulic power to input shaft power. Transforming the microcrack state refers to converting the time-domain acoustic emission / vibration signal into frequency-domain features using a Fast Fourier Transform (FFT) and extracting crack-related characteristic frequency components. The corrosion factor refers to the set of environmental and operating parameters that accelerate metal corrosion. Furthermore, the analysis of the corrosion rate of the constructed oil and gas field based on the corrosion factor includes: Based on the corrosion factors, the chemical corrosion coefficient, mechanical influence coefficient, and environmental influence coefficient of the oil and gas field under construction are determined. Based on the chemical corrosion coefficient, mechanical influence coefficient, and environmental influence coefficient, the corrosion risk score of the oil and gas field under construction is analyzed. The corrosion rate of the oil and gas field under construction is calculated based on the chemical corrosion coefficient, the mechanical influence coefficient, the environmental influence coefficient, and the corrosion risk score.
[0029] The chemical corrosion coefficient represents the corrosion tendency caused by chemical components in the environment (such as hydrogen sulfide, carbon dioxide, and chloride ions); the mechanical influence coefficient reflects the influence of mechanical stress on the corrosion process; the environmental influence coefficient refers to the influence of environmental factors other than chemical components on the corrosion rate; the corrosion risk score is used to assess the overall risk level of material corrosion failure under specific working conditions; the stress refers to the internal resistance generated by external loads or internal pressures acting on the operating oil and gas field; the elastic modulus is a constant describing the ratio of normal stress to normal strain (unit deformation) in the elastic deformation stage of the operating oil and gas field; and the weight of the corrosion risk score is an adjustment factor used to adjust the degree of influence of the corrosion risk score on the corrosion rate in the final corrosion rate calculation.
[0030] Furthermore, as another embodiment of the present invention, the corrosion rate is calculated using the following formula:
[0031] in, This indicates the corrosion rate in the oil and gas field under construction. This indicates the chemical corrosion coefficient of the oil and gas field under construction. This represents the mechanical influence coefficient of the oil and gas field under construction. This indicates the stress during the construction of an oil and gas field. This indicates the elastic modulus of the oil and gas field under construction. This represents the environmental impact coefficient of the oil and gas field under construction. This indicates the corrosion risk score for the oil and gas field under construction. This indicates the weight of the corrosion risk score.
[0032] S2. Based on the characteristics of the oil and gas field, establish a three-dimensional geological-equipment-personnel interaction model of the oil and gas field under construction, and analyze the pipeline bending stress and wellbore stability of the oil and gas field under construction based on the three-dimensional geological-equipment-personnel interaction model.
[0033] Based on the characteristics of the oil and gas field, this invention establishes a three-dimensional geological-equipment-personnel interactive model of the oil and gas field under construction, enabling refined and visualized analysis of wellbore stability and pipeline bending stress.
[0034] The formation stress gradient, the fracture density, the lithological parameters, the pump efficiency coefficient, the crack type, the corrosion rate, the hydrogen sulfide concentration gradient, and the personnel coordinates. In detail, the establishment of a three-dimensional geological-equipment-personnel interaction model of the oil and gas field under construction, based on the characteristics of the oil and gas field, includes: Based on the formation stress gradient, fracture density, and lithological parameters corresponding to the characteristics of the oil and gas field, a three-dimensional geological model of the oil and gas field under construction is constructed. The pump efficiency coefficient, crack type, corrosion rate, and hydrogen sulfide concentration gradient corresponding to the oil and gas field characteristics are integrated into the three-dimensional geological model to obtain a three-dimensional geological-equipment interaction model. Convert the personnel coordinates corresponding to the oil and gas field features into a three-dimensional avatar; The 3D Avatar is then integrated into the 3D geological-equipment interaction model to obtain the 3D geological-equipment-personnel interaction model of the oil and gas field under construction.
[0035] The three-dimensional geological model refers to a digital three-dimensional stratigraphic representation constructed based on geological exploration data, integrating key attributes such as stratigraphic stress gradient, fracture density, and lithological parameters to form a calculable and interactive virtual geological body. The three-dimensional geological-equipment interaction model refers to the integration of a digital twin of equipment on the basis of the geological model, realizing the coupled simulation of the geological environment and equipment status through dynamic data such as pump efficiency coefficient, crack type, and corrosion rate. The three-dimensional avatar refers to a concrete three-dimensional entity of personnel positioning data, driven by UWB / GPS coordinates, reflecting real-time location, movement trajectory, and vital signs. The three-dimensional geological-equipment-personnel interaction model refers to a full-element digital twin system integrating geological, equipment, and personnel data.
[0036] Optionally, the three-dimensional geological model of the oil and gas field under construction, based on the formation stress gradient, fracture density, and lithological parameters corresponding to the characteristics of the oil and gas field, can be generated by a geostatistical algorithm (Sequential Gaussian Simulation).
[0037] This invention analyzes the pipeline bending stress and wellbore stability of the oil and gas field under construction based on the three-dimensional geological-equipment-personnel interaction model. This allows risk assessment to go beyond the surface and delve into the interaction between the engineering structure and the geological environment, enabling a more scientific prediction of the possibility of structural instability or failure, and providing strong data support for engineering decisions.
[0038] In detail, the analysis of pipeline bending stress and wellbore stability in the constructed oil and gas field based on the three-dimensional geological-equipment-personnel interaction model includes: Based on the three-dimensional geological-equipment-personnel interaction model, the formation displacement field, wellbore tangential stress, and wellbore radial stress of the constructed oil and gas field are output; The formation displacement field is mapped to the displacement boundary conditions of the three-dimensional geological-equipment-personnel interaction model to analyze the pipeline bending stress of the oil and gas field under construction. Analyze the shear strength of the rock in the oil and gas field under construction; The wellbore stability of the constructed oil and gas field is calculated based on the wellbore tangential stress, the wellbore radial stress, and the rock shear strength.
[0039] The formation displacement field refers to the displacement distribution of the formation rock mass in three-dimensional space during oil and gas field construction, including the displacement magnitude (millimeter level) and direction (vector field). The wellbore tangential stress refers to the normal stress along the circumference of the wellbore, which is generated by the combined action of formation pressure, drilling fluid pressure and tectonic stress. The wellbore radial stress refers to the normal stress along the radius of the wellbore, reflecting the radial compression or tension of the wellbore. The displacement boundary condition refers to the input constraint for converting the formation displacement field into a pipeline mechanics model. The pipeline bending stress refers to the maximum normal stress on the cross section when the pipeline bends due to external loads (such as formation displacement and temperature changes). The rock shear strength refers to the maximum ability of the rock mass to resist shear failure. The wellbore stability refers to the ability of the wellbore to resist collapse or rupture during drilling, production and other operations.
[0040] Optionally, the displacement boundary conditions for mapping the formation displacement field to the three-dimensional geological-equipment-personnel interaction model can be achieved through radial basis function (RBF) or inverse distance weighted (IDW) interpolation.
[0041] Optionally, the analysis of the rock shear strength of the constructed oil and gas field can be achieved by simulating the confining pressure conditions of the formation through laboratory triaxial tests.
[0042] S3. Based on the wellbore stability and pipeline bending stress, analyze the hydrogen sulfide diffusion path of the constructed oil and gas field to determine the DRI of the constructed oil and gas field.
[0043] Based on the wellbore stability and pipeline bending stress, this invention analyzes the hydrogen sulfide diffusion path of the constructed oil and gas field, providing a basis for subsequent classification.
[0044] In detail, the analysis of the hydrogen sulfide diffusion path in the constructed oil and gas field based on the wellbore stability and pipeline bending stress includes: Based on the wellbore stability and pipeline bending stress, the leakage parameters of the oil and gas field under construction are determined. Based on the leakage parameters, the initial hydrogen sulfide flow rate and leakage orifice diameter of the oil and gas field under construction were analyzed. The injection rate and leakage volume of the oil and gas field under construction are calculated using the initial flow rate of hydrogen sulfide and the leakage orifice diameter. Based on the injection rate and leakage volume, the hydrogen sulfide diffusion path of the constructed oil and gas field was analyzed.
[0045] The leakage parameters refer to key physical quantities that quantify the characteristics of the leakage source, including leakage type (wellbore / pipeline), geometric dimensions (crack opening / aperture), fluid characteristics (pressure, temperature), etc. The initial flow velocity of hydrogen sulfide refers to the initial velocity of hydrogen sulfide ejected from the rupture at the moment of leakage. The leakage aperture refers to the equivalent diameter of the leakage opening. The ejection velocity refers to the highest velocity of the leaking fluid during the free ejection phase. The leakage amount refers to the mass of hydrogen sulfide leaked per unit time. The hydrogen sulfide diffusion path refers to the trajectory of hydrogen sulfide in space.
[0046] Optionally, the analysis of the initial hydrogen sulfide flow rate of the constructed oil and gas field based on the leakage parameters can be calculated using the Darcy-Weisbach equation.
[0047] Optionally, the analysis of the hydrogen sulfide diffusion path of the constructed oil and gas field based on the injection velocity and leakage amount can be performed using CFD simulation: solving the Navier-Stokes equations and component transport equations.
[0048] This invention determines that the DRI of the oil and gas field under construction can more accurately analyze the risks of the oil and gas field under construction.
[0049] Specifically, determining the DRI of the oil and gas field under construction includes: The peak concentration of hydrogen sulfide diffusion path in the constructed oil and gas field is marked; Based on the peak concentration along the diffusion path, the concentration exposure risk of the oil and gas field under construction is calculated. Analyze the personnel status along the hydrogen sulfide diffusion path; Based on the personnel status and the concentration exposure risk, the personnel risk of the oil and gas field under construction is analyzed; The DRI of the oil and gas field under construction is determined based on the concentration exposure risk and the personnel risk.
[0050] Wherein, the peak concentration along the diffusion path refers to the highest instantaneous concentration value reached by hydrogen sulfide during the diffusion process; the concentration exposure risk refers to the probability and severity of harm suffered by personnel or the environment due to exposure to hydrogen sulfide; the personnel status refers to the real-time attributes of the workers in the leak event, including location, protective equipment, and physiological indicators; the personnel risk refers to the individual and group hazard index calculated based on personnel status and exposure concentration; and the oil and gas field DRI refers to the global risk index that integrates the physical characteristics of hydrogen sulfide leakage and personnel status.
[0051] Optionally, the determination of the oil and gas field DRI of the operating oil and gas field based on the concentration exposure risk and the personnel risk can be calculated by regression analysis of historical accident data, with concentration exposure risk as the primary factor (60%) and personnel risk as the secondary factor (40%).
[0052] S4. Based on the DRI of the oil and gas field, classify the regional risk level of the oil and gas field under construction, wherein the regional risk level includes green safe zone, yellow warning zone and red high-risk zone, and generate warning parameters for yellow warning zone.
[0053] This invention, based on the DRI (Distribution and Analysis) of the oil and gas field, classifies the operating oil and gas field into regional risk levels. These regional risk levels include green safe zones, yellow warning zones, and red high-risk zones. Differentiated measures are implemented for different risk levels when generating warning parameters for yellow warning zones, particularly the refined parameter generation for yellow warning zones and the detailed processing for red high-risk zones, reflecting refined and intelligent management. Specifically, green safe zones refer to areas with relatively stable and safe operating conditions; yellow warning zones refer to areas where risks are accumulating or are on the verge of being acceptable; and red high-risk zones refer to areas with rapid damage rates and potential safety hazards or production interruption risks. The warning parameters are those used to issue warnings for the risks corresponding to yellow warning zones, such as alarms and SMS notifications.
[0054] S5. Measure the three-dimensional gas concentration of the red high-risk area and generate the personnel evacuation route corresponding to the red high-risk area of the oil and gas field under construction. Execute a safety warning for the oil and gas field under construction based on the warning parameters and the personnel evacuation route.
[0055] This invention, by mapping the three-dimensional gas concentration in the red high-risk area and generating personnel evacuation routes corresponding to the red high-risk area of the oil and gas field under construction, will greatly improve the efficiency and effectiveness of emergency response and maximize the protection of personnel safety. The three-dimensional gas concentration refers to the three-dimensional distribution of hydrogen sulfide in the red high-risk area.
[0056] Specifically, generating personnel evacuation routes for the red high-risk zone corresponding to the oil and gas field under construction includes: The red high-risk areas are gridded to obtain gridded red high-risk areas; The three-dimensional gas concentration of the grid corresponding to the red high-risk area is converted into a grid risk value; Define the attenuation coefficient of the grid risk value; Based on the attenuation coefficient, a time-varying risk field is established for the red high-risk zone; Mark the target coordinates of the red high-risk area; Based on the personnel coordinates corresponding to the red high-risk zone, the target coordinates, and the time-varying risk field, an evacuation path for personnel in the red high-risk zone is generated.
[0057] The term "grid red high-risk zone" refers to a set of 1m×1m×1m cubic grids discretized from the red high-risk zone. The term "grid risk value" refers to a risk index that converts the three-dimensional gas concentration into a [0,1] normalized value to quantify the instantaneous hazard level of the grid unit. The term "attenuation coefficient" refers to the rate at which the risk value naturally decays over time, influenced by environmental factors such as wind speed and temperature gradient. The term "time-varying risk field" refers to the three-dimensional risk distribution that evolves over time. The term "target coordinates" refers to the coordinates of the endpoint of the evacuation path. The term "personnel evacuation path" refers to the target three-dimensional path connecting the current location of the personnel with the target coordinates.
[0058] Optionally, the evacuation path for the personnel in the red high-risk area can be generated based on the personnel coordinates corresponding to the red high-risk area, the target coordinates, and the time-varying risk field, using the A* algorithm.
[0059] Finally, the present invention achieves efficient monitoring and safety warning of the oil and gas field under construction by executing safety warnings based on the warning parameters and the personnel evacuation routes.
[0060] First, it significantly improves the timeliness and accuracy of risk identification. By comprehensively collecting dynamic data on geology, equipment, environment, and personnel, and extracting oil and gas field characteristics, it can capture early signals of potential risks earlier and more comprehensively, overcoming the lag and limitations of traditional methods that rely on manual inspections and experience-based judgments. Second, the three-dimensional geological-equipment-personnel interaction model constructed based on the extracted features enables refined and visualized analysis of wellbore stability and pipeline stress distribution. This allows risk assessment to go beyond the surface and delve into the interaction between engineering structures and the geological environment, enabling a more scientific prediction of the possibility of structural instability or failure, providing strong data support for engineering decisions. Third, this scheme closely integrates risk assessment with specific hazards (such as hydrogen sulfide diffusion). By analyzing wellbore stability and pipeline stress, it infers the diffusion paths and concentration distribution of harmful gases such as hydrogen sulfide, quantifying them as the DRI (Difference Rate Indicator) of the oil and gas field, thus enabling the classification of risk levels (green, yellow, and red zones). This invention provides a more objective, dynamic, and realistic assessment of potential hazards. Furthermore, it employs differentiated measures for different risk levels, particularly the refined generation of parameters for yellow alert zones and the detailed processing of red high-risk zones, reflecting sophisticated and intelligent management. It maps the three-dimensional gas concentration distribution of red high-risk zones and dynamically generates evacuation routes, significantly improving the efficiency and effectiveness of emergency response and maximizing personnel safety. Finally, the entire process forms a closed-loop management system from data collection, model analysis, and risk assessment to early warning issuance and emergency guidance. This safety early warning system based on real-time data and intelligent models not only significantly reduces the risk of major accidents such as well blowouts, leaks, explosions, and poisoning during oil and gas field construction, ensuring the safety of workers, but also reduces potential environmental pollution and property damage, improving the overall safety level and management efficiency of the project and providing a solid technical guarantee for the safe and efficient construction of oil and gas fields. Therefore, this invention can improve the accuracy of risk early warning for oil and gas field construction.
[0061] like Figure 2 The diagram shown is a functional module diagram of a real-time monitoring and safety early warning system for oil and gas field engineering construction risks according to the present invention.
[0062] The oil and gas field engineering construction risk real-time monitoring and safety early warning system 200 described in this invention can be installed in an electronic device. Depending on the functions implemented, the oil and gas field engineering construction risk real-time monitoring and safety early warning system may include an oil and gas field feature analysis module 201, an oil and gas field internal analysis module 202, an oil and gas field DRI analysis module 203, an early warning parameter generation module 204, and an oil and gas field safety early warning module 205. The modules described in this invention can also be referred to as units, which are a series of computer program segments that can be executed by the processor of an electronic device and can perform a fixed function, and are stored in the memory of the electronic device.
[0063] In this embodiment of the invention, the functions of each module / unit are as follows: The oil and gas field feature analysis module 201 is used to collect dynamic data of the oil and gas field under construction, wherein the dynamic data includes geomechanical parameters, equipment operating status, environmental indicators and personnel positioning data, so as to extract the oil and gas field features of the oil and gas field under construction. The internal analysis module 202 of the oil and gas field is used to establish a three-dimensional geological-equipment-personnel interaction model of the oil and gas field under construction based on the characteristics of the oil and gas field, and to analyze the pipeline bending stress and wellbore stability of the oil and gas field under construction based on the three-dimensional geological-equipment-personnel interaction model. The oil and gas field DRI analysis module 203 is used to analyze the hydrogen sulfide diffusion path of the oil and gas field under construction based on the wellbore stability and pipeline bending stress, so as to determine the oil and gas field DRI of the oil and gas field under construction. The early warning parameter generation module 204 is used to classify the regional risk level of the oil and gas field under construction based on the DRI of the oil and gas field, wherein the regional risk level includes green safe zone, yellow early warning zone and red high risk zone, and generates early warning parameters for yellow early warning zone. The oil and gas field safety early warning module 205 is used to map the three-dimensional gas concentration of the red high-risk area, generate personnel evacuation routes for the red high-risk area corresponding to the oil and gas field under construction, and execute safety early warning for the oil and gas field under construction based on the early warning parameters and the personnel evacuation routes.
[0064] In detail, the modules in the real-time monitoring and safety early warning system 200 for oil and gas field engineering construction risks described in this embodiment of the invention adopt the same characteristics as described above when in use. Figure 1 The method used is the same as the real-time monitoring and safety early warning method for oil and gas field engineering construction risks described in the article, and can produce the same technical effect, so it will not be elaborated here.
[0065] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.
[0066] Finally, it should be noted that in the above embodiments, each embodiment can be combined with each other or independent. Deleting any one of them will not affect the technical implementation of other embodiments. The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims
1. A method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering, characterized in that, The method includes: Collect dynamic data of the oil and gas field under construction, including geomechanical parameters, equipment operating status, environmental indicators and personnel positioning data, in order to extract the oil and gas field characteristics of the oil and gas field under construction. Based on the characteristics of the oil and gas field, a three-dimensional geological-equipment-personnel interaction model of the oil and gas field under construction is established, and the pipeline bending stress and wellbore stability of the oil and gas field under construction are analyzed based on the three-dimensional geological-equipment-personnel interaction model. Based on the wellbore stability and pipeline bending stress, the hydrogen sulfide diffusion path of the constructed oil and gas field is analyzed to determine the oil and gas field DRI of the constructed oil and gas field. Based on the DRI of the oil and gas field, the regional risk level of the oil and gas field under construction is divided, wherein the regional risk level includes green safe zone, yellow warning zone and red high risk zone, and warning parameters for yellow warning zone are generated. The three-dimensional gas concentration of the red high-risk area is plotted, and the personnel evacuation route corresponding to the red high-risk area of the oil and gas field under construction is generated. Based on the warning parameters and the personnel evacuation route, the safety warning of the oil and gas field under construction is executed.
2. The method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering as described in claim 1, characterized in that, The extraction of oil and gas field features from the constructed oil and gas field includes: Based on the geomechanical parameters of the oil and gas field under construction, the formation stress gradient, fracture density, and lithological parameters of the oil and gas field under construction are analyzed. The pump efficiency coefficient, crack type, and corrosion rate of the oil and gas field under construction are analyzed based on the equipment operation status. Based on the environmental indicators of the oil and gas field under construction, the hydrogen sulfide concentration gradient of the oil and gas field under construction was analyzed. Based on the personnel location data of the oil and gas field under construction, analyze the personnel coordinates of the oil and gas field under construction; By combining the formation stress gradient, fracture density, lithological parameters, pump efficiency coefficient, crack type, corrosion rate, hydrogen sulfide concentration gradient, and personnel coordinates, the characteristics of the oil and gas field under construction are determined.
3. The method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering as described in claim 2, characterized in that, The analysis of the pump efficiency coefficient, crack type, and corrosion rate of the oil and gas field under construction, based on the equipment operating status, includes: Based on the operating status of the equipment, determine the actual volumetric efficiency and effective hydraulic power of the oil and gas field under construction; Based on the effective hydraulic power, the hydraulic efficiency of the constructed oil and gas field is analyzed; Based on the actual volumetric efficiency and the hydraulic efficiency, the pump efficiency coefficient of the constructed oil and gas field is calculated; Perform an FFT transformation on the microcrack state corresponding to the operating state of the device to obtain the transformed microcrack state; Based on the transformed microcrack state, the crack types of the constructed oil and gas field are analyzed; Extract corrosion factors from the operating state of the equipment; Based on the corrosion factor, the corrosion rate of the constructed oil and gas field was analyzed.
4. The method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering as described in claim 3, characterized in that, The analysis of the corrosion rate of the oil and gas field under construction based on the corrosion factor includes: Based on the corrosion factors, the chemical corrosion coefficient, mechanical influence coefficient, and environmental influence coefficient of the oil and gas field under construction are determined. Based on the chemical corrosion coefficient, mechanical influence coefficient, and environmental influence coefficient, the corrosion risk score of the oil and gas field under construction is analyzed. Based on the chemical corrosion coefficient, the mechanical influence coefficient, the environmental influence coefficient, and the corrosion risk score, the corrosion rate of the oil and gas field under construction is calculated using the following formula: in, This indicates the corrosion rate in the oil and gas field under construction. This indicates the chemical corrosion coefficient of the oil and gas field under construction. This represents the mechanical influence coefficient of the oil and gas field under construction. This indicates the stress during the construction of an oil and gas field. This indicates the elastic modulus of the oil and gas field under construction. This represents the environmental impact coefficient of the oil and gas field under construction. This indicates the corrosion risk score for the oil and gas field under construction. This indicates the weight of the corrosion risk score.
5. The method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering as described in claim 4, characterized in that, The establishment of a three-dimensional geological-equipment-personnel interaction model for the oil and gas field under construction, based on the characteristics of the oil and gas field, includes: Based on the formation stress gradient, fracture density, and lithological parameters corresponding to the characteristics of the oil and gas field, a three-dimensional geological model of the oil and gas field under construction is constructed. The pump efficiency coefficient, crack type, corrosion rate, and hydrogen sulfide concentration gradient corresponding to the oil and gas field characteristics are integrated into the three-dimensional geological model to obtain a three-dimensional geological-equipment interaction model. Convert the personnel coordinates corresponding to the oil and gas field features into a three-dimensional avatar; The 3D Avatar is then integrated into the 3D geological-equipment interaction model to obtain the 3D geological-equipment-personnel interaction model of the oil and gas field under construction.
6. The method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering as described in claim 5, characterized in that, The analysis of pipeline bending stress and wellbore stability in the constructed oil and gas field based on the three-dimensional geological-equipment-personnel interaction model includes: Based on the three-dimensional geological-equipment-personnel interaction model, the formation displacement field, wellbore tangential stress, and wellbore radial stress of the constructed oil and gas field are output; The formation displacement field is mapped to the displacement boundary conditions of the three-dimensional geological-equipment-personnel interaction model to analyze the pipeline bending stress of the oil and gas field under construction. Analyze the shear strength of the rock in the oil and gas field under construction; The wellbore stability of the constructed oil and gas field is calculated based on the wellbore tangential stress, the wellbore radial stress, and the rock shear strength.
7. The method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering as described in claim 6, characterized in that, The analysis of hydrogen sulfide diffusion pathways in the constructed oil and gas field based on wellbore stability and pipeline bending stress includes: Based on the wellbore stability and pipeline bending stress, the leakage parameters of the oil and gas field under construction are determined. Based on the leakage parameters, the initial hydrogen sulfide flow rate and leakage orifice diameter of the oil and gas field under construction were analyzed. The injection rate and leakage volume of the oil and gas field under construction are calculated using the initial flow rate of hydrogen sulfide and the leakage orifice diameter. Based on the injection rate and leakage volume, the hydrogen sulfide diffusion path of the constructed oil and gas field was analyzed.
8. The method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering as described in claim 7, characterized in that, Determining the DRI of the oil and gas field under construction includes: The peak concentration of hydrogen sulfide diffusion path in the constructed oil and gas field is marked; Based on the peak concentration along the diffusion path, the concentration exposure risk of the oil and gas field under construction is calculated. Analyze the personnel status along the hydrogen sulfide diffusion path; Based on the personnel status and the concentration exposure risk, the personnel risk of the oil and gas field under construction is analyzed; The DRI of the oil and gas field under construction is determined based on the concentration exposure risk and the personnel risk.
9. The method for real-time monitoring and safety early warning of construction risks in oil and gas field engineering as described in claim 8, characterized in that, The generation of personnel evacuation routes for the red high-risk zone corresponding to the oil and gas field under construction includes: The red high-risk areas are gridded to obtain gridded red high-risk areas; The three-dimensional gas concentration of the grid corresponding to the red high-risk area is converted into a grid risk value; Define the attenuation coefficient of the grid risk value; Based on the attenuation coefficient, a time-varying risk field is established for the red high-risk zone; Mark the target coordinates of the red high-risk area; Based on the personnel coordinates corresponding to the red high-risk zone, the target coordinates, and the time-varying risk field, an evacuation path for personnel in the red high-risk zone is generated.
10. A real-time monitoring and safety early warning system for construction risks in oil and gas field engineering, characterized in that, The system includes: The oil and gas field feature analysis module is used to collect dynamic data of the oil and gas field under construction. The dynamic data includes geomechanical parameters, equipment operating status, environmental indicators and personnel positioning data, in order to extract the oil and gas field features of the oil and gas field under construction. The internal analysis module of the oil and gas field is used to establish a three-dimensional geological-equipment-personnel interaction model of the oil and gas field under construction based on the characteristics of the oil and gas field, and to analyze the pipeline bending stress and wellbore stability of the oil and gas field under construction based on the three-dimensional geological-equipment-personnel interaction model. The oil and gas field DRI analysis module is used to analyze the hydrogen sulfide diffusion path of the oil and gas field under construction based on the wellbore stability and pipeline bending stress, so as to determine the oil and gas field DRI of the oil and gas field under construction. The early warning parameter generation module is used to classify the regional risk level of the oil and gas field under construction based on the DRI of the oil and gas field. The regional risk level includes green safe zone, yellow early warning zone and red high risk zone, and generates early warning parameters for the yellow early warning zone. The oil and gas field safety early warning module is used to map the three-dimensional gas concentration of the red high-risk area and generate personnel evacuation routes for the corresponding red high-risk area of the oil and gas field under construction. Based on the early warning parameters and the personnel evacuation routes, the module executes safety early warnings for the oil and gas field under construction.