Integrated skid-mounted process for station

Abstract

The invention relates to the technical field of processes, in particular to an integrated skid-mounted process for a station, which comprises the following steps of: 1, acquiring and analyzing data; 2, hydrops identification and early warning; 3, hydrops extraction treatment is carried out; 4, real-time monitoring is carried out; 5, torch zero emptying control is carried out; step 6, data feedback; according to the method, a traditional emptying pressure reduction mode is replaced with a suction pressure reduction mode, waste of a large amount of natural gas in the emptying process is effectively avoided, energy losses are remarkably reduced, the control strategy of torch zero emptying or minimum emptying is adopted, emission of greenhouse gas and harmful substances is reduced, the positive effect on improving the environment quality is achieved, and the method is suitable for popularization and application. By means of real-time data collection and analysis and in combination with the effusion identification model, the pipeline effusion situation can be accurately pre-judged, early warning is given out at the first time, after an intelligent control system receives an early warning signal, a suction process switching mechanism can be automatically triggered, rapid extraction and processing of effusion are achieved, and production efficiency and safety are improved.

Description

Technical Field

[0001] This invention relates to the field of process technology, and in particular to an integrated skid-mounted process for stations. Background Technology

[0002] The integrated intelligent skid-mounted technology used in gas gathering stations refers to an important technology in the construction of oil and gas field surface engineering. It integrates multiple functional modules and realizes automated operation through an intelligent control system, thereby improving the production efficiency and safety of oil and gas fields.

[0003] Traditional skid-mounted gas gathering station processes often rely heavily on venting and depressurization when dealing with pipeline sludge buildup. This leads to the direct release of large amounts of gas, resulting in energy loss and potential environmental pollution. Furthermore, the ability to identify sludge buildup in gas extraction pipelines may be weak, hindering accurate prediction and timely intervention. This results in low sludge treatment efficiency and could even disrupt normal gas extraction operations. Flare venting is also common during sludge treatment, further increasing energy waste and potentially causing adverse environmental impacts. Consequently, the combined effects of energy loss, environmental pollution, and low sludge treatment efficiency lead to poor overall economic benefits.

[0004] Therefore, the skid-mounted process mentioned above may rely more on venting and depressurization when dealing with pipeline liquid accumulation. This can lead to the direct release of large amounts of gas, resulting in a weak ability to identify liquid accumulation in the gas production pipeline, making it impossible to achieve accurate prediction and timely handling. At the same time, flare venting is common during the liquid accumulation process, increasing energy waste. A solution could be designed to shift from venting and depressurization to suction and depressurization, improving the ability to identify liquid accumulation in the gas production pipeline, achieving accurate prediction, timely action, and rapid handling of pipeline liquid accumulation, and forming an integrated intelligent skid-mounted process for gas gathering stations with automatic switching of the liquid accumulation pipeline suction process and zero flare venting for pipeline unblocking. Summary of the Invention

[0005] In order to overcome the problem that traditional skid-mounted technology relies more on the venting and depressurization mode, resulting in the direct venting of a large amount of gas, the ability to identify liquid accumulation in the gas extraction pipeline may be weak, and the flare venting phenomenon may also occur.

[0006] The technical solution of this invention is: an integrated skid-mounted process for stations, the steps of which are as follows: Step 1: Data Collection and Analysis First, pressure sensors, temperature sensors, flow sensors, and liquid level sensors are installed on the collection pipeline to collect key parameters such as pressure, temperature, flow rate, and liquid level in the pipeline in real time. A data analysis platform is built to receive, store, and process the data collected by the sensors. The platform has powerful data processing capabilities and intelligent analysis algorithms. Then, the data is transmitted to the data analysis platform of the gas gathering station through the RTU wireless transmission system for centralized monitoring and analysis. Step Two: Identification and Early Warning of Fluid Accumulation In the pipeline, an online densitometer is used to directly measure the fluid density, an online viscometer is used to measure the fluid viscosity, and a compressibility testing device is used to assess the compressibility of the fluid by measuring the volume change under pressure changes. Then, based on parameters such as pipeline roughness, pipe diameter, and elevation changes, combined with fluid mechanics principles and pipeline liquid accumulation characteristics, a liquid accumulation identification model is developed. The data collected by the above sensors are input into the liquid accumulation identification model for real-time monitoring and analysis. When the model determines that the amount of liquid accumulation in the pipeline exceeds a preset threshold, an early warning signal is automatically issued to prompt the operator to take appropriate measures. Step 3: Drainage and treatment of accumulated fluid Upon receiving an early warning signal, the intelligent control system automatically triggers the suction process switching mechanism, switching the system from venting and depressurization mode to suction and depressurization mode. The venting valve is closed to prevent direct gas release, which could lead to energy loss and environmental pollution. The suction device is then activated to quickly and accurately suction the accumulated liquid in the pipeline. During suction, the liquid is collected in a dedicated storage tank and then transported to a treatment device via centrifugal pumps, screw pumps, or other pumping systems. Gravity causes suspended solids in the liquid to settle to the bottom, achieving solid-liquid separation. A filter further removes fine particles and colloidal substances from the liquid. For liquids containing toxic or harmful substances or recalcitrant materials, an adsorption tower can be used for adsorption treatment. For liquids containing recyclable components, such as organic solvents, a distillation tower can be used for distillation recovery. After treatment, useful components such as solvents and metal ions in the liquid can be recovered and stored for reuse. Step 4: Real-time monitoring In the suction and depressurization mode, the pipeline is continuously monitored in real time to ensure that the accumulated liquid is effectively pumped out. Step 5: Torch zero-venting control Throughout the entire process, an intelligent control system is used to monitor the flare status in real time and adjust combustion parameters to ensure zero or minimal flare venting during liquid treatment, thereby reducing environmental pollution and energy waste. Step Six: Data Feedback The above processing results are fed back to the data analysis platform for optimization of subsequent liquid accumulation identification and treatment. The liquid accumulation identification threshold and suction equipment parameters can be adjusted according to the actual treatment effect.

[0007] As a preferred option, in step two, a suitable fluid dynamics model is selected for simulation calculation based on the pipe's diameter, length, curvature, and other geometric shapes, fluid properties, and external conditions such as temperature, pressure, and flow velocity. The models include the Navier-Stokes equations, Bernoulli equations, etc.

[0008] As a preferred option, the Darcy-Weisbach formula is: =

[0009] in, It is the head loss along the route. It is the friction coefficient. It is the length of the pipe section. It is the inner diameter of the pipe. It is the average flow velocity of the fluid. It is the acceleration due to gravity, and Bernoulli's equation is: + g = + g

[0010] in, These are the pressures at both ends of the pipe. and These are the flow velocities at both ends of the pipe. and These are the elevations at both ends of the pipeline. This refers to head loss along the route.

[0011] As a preferred approach, the influence of pipe roughness can be considered by introducing a friction coefficient, such as λ in the Darcy-Weisbach equation, and the influence of elevation changes can be considered by introducing an elevation term, such as z in the Bernoulli equation. Substituting these parameters and conditions into the fluid dynamics model, the model can be solved using numerical or analytical methods to obtain the velocity distribution and pressure distribution of the fluid in the pipe. Based on the velocity and pressure distribution of the fluid in the pipe, combined with the physical properties of the fluid and the geometry of the pipe, the volume of liquid accumulated in the pipe can be calculated. The pipe needs to be segmented, and the volume of liquid accumulated in each segment can be calculated and accumulated to obtain the total volume of liquid accumulated.

[0012] Preferably, the warning response time in step three is between 100 milliseconds and 5 seconds.

[0013] Preferably, the time from receiving the warning signal to completing the switch from venting and depressurization to suction and depressurization in step three, including closing the venting valve and starting the suction device, is between 5 and 30 seconds.

[0014] As a preferred option, the solid-liquid separation in step three is to remove large particulate impurities and suspended solids, and the filter medium in the filter can be selected as sand filter, activated carbon adsorption, etc., as needed.

[0015] Preferably, the adsorbent in the adsorption tower in step three can be activated carbon, resin, or other materials to effectively remove these substances. In the distillation tower, the accumulated liquid is vaporized by heating, and then the useful components in the vapor are collected by condensation.

[0016] Preferably, after the real-time monitoring data in step four is transmitted to the data analysis platform, the data analysis platform stores, processes, and analyzes the data collected by the sensors.

[0017] The beneficial effects of this invention are: 1. This invention replaces the traditional venting depressurization mode with a suction depressurization mode, effectively avoiding the waste of a large amount of natural gas during the venting process, significantly reducing energy loss. The control strategy of zero or minimal venting of the flare reduces the emission of greenhouse gases and harmful substances, which has a positive effect on improving environmental quality. Through real-time data acquisition and analysis, combined with the liquid accumulation identification model, the liquid accumulation situation in the pipeline can be accurately predicted and an early warning can be issued at the first time, facilitating rapid disposal and control. After receiving the early warning signal, the intelligent control system can automatically trigger the suction process switching mechanism to realize the rapid extraction and treatment of the liquid accumulation, improving production efficiency and safety. In the suction depressurization mode, the pipeline continues to be monitored in real time to ensure that the liquid accumulation is effectively extracted, enhancing the stability of the system. Through the data feedback mechanism, the liquid accumulation identification threshold, suction equipment parameters, etc. can be adjusted according to the actual treatment effect to achieve continuous optimization and adjustment of the process. 2. The entire process is monitored and controlled in real time by an intelligent control system. At the same time, the data analysis platform has powerful data processing capabilities and intelligent analysis algorithms, realizing the intelligent and automated identification, early warning, extraction, treatment and flare control of the sludge. By reducing energy loss and environmental pollution, the company's operating costs are reduced. The useful components in the treated sludge can be recovered and stored for reuse, improving the recycling rate of resources. Attached Figure Description

[0018] Figure 1 The flowchart shown is a process for the integrated skid-mounted technology for stations according to the present invention. Detailed Implementation

[0019] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0020] Please see Figure 1 The present invention provides an embodiment of an integrated skid-mounted process for stations, the steps of which are as follows: Step 1: Data Collection and Analysis First, pressure sensors, temperature sensors, flow sensors, and liquid level sensors are installed on the collection pipeline to collect key parameters such as pressure, temperature, flow rate, and liquid level in the pipeline in real time. A data analysis platform is built to receive, store, and process the data collected by the sensors. The platform has powerful data processing capabilities and intelligent analysis algorithms. Then, the data is transmitted to the data analysis platform of the gas gathering station through the RTU wireless transmission system for centralized monitoring and analysis. Step Two: Identification and Early Warning of Fluid Accumulation In the pipeline, an online densitometer is used to directly measure the fluid density, an online viscometer is used to measure the fluid viscosity, and a compressibility testing device is used to assess the compressibility of the fluid by measuring the volume change under pressure changes. Then, based on parameters such as pipeline roughness, pipe diameter, and elevation changes, combined with fluid mechanics principles and pipeline liquid accumulation characteristics, a liquid accumulation identification model is developed. The data collected by the above sensors are input into the liquid accumulation identification model for real-time monitoring and analysis. When the model determines that the amount of liquid accumulation in the pipeline exceeds a preset threshold, an early warning signal is automatically issued to prompt the operator to take appropriate measures. Step 3: Drainage and treatment of accumulated fluid Upon receiving an early warning signal, the intelligent control system automatically triggers the suction process switching mechanism, switching the system from venting and depressurization mode to suction and depressurization mode. The venting valve is closed to prevent direct gas release, which could lead to energy loss and environmental pollution. The suction device is then activated to quickly and accurately suction the accumulated liquid in the pipeline. During suction, the liquid is collected in a dedicated storage tank and then transported to a treatment device via centrifugal pumps, screw pumps, or other pumping systems. Gravity causes suspended solids in the liquid to settle to the bottom, achieving solid-liquid separation. A filter further removes fine particles and colloidal substances from the liquid. For liquids containing toxic or harmful substances or recalcitrant materials, an adsorption tower can be used for adsorption treatment. For liquids containing recyclable components, such as organic solvents, a distillation tower can be used for distillation recovery. After treatment, useful components such as solvents and metal ions in the liquid can be recovered and stored for reuse. Step 4: Real-time monitoring In the suction and depressurization mode, the pipeline is continuously monitored in real time to ensure that the accumulated liquid is effectively pumped out. Step 5: Torch zero-venting control Throughout the entire process, an intelligent control system is used to monitor the flare status in real time and adjust combustion parameters to ensure zero or minimal flare venting during liquid treatment, thereby reducing environmental pollution and energy waste. Step Six: Data Feedback The above processing results are fed back to the data analysis platform for optimization of subsequent liquid accumulation identification and treatment. The liquid accumulation identification threshold and suction equipment parameters can be adjusted according to the actual treatment effect.

[0021] Example 1 The process using this technical solution involves the following steps: Step 1: Data Collection and Analysis First, pressure sensors, temperature sensors, flow sensors, and liquid level sensors are installed on the collection pipeline to collect key parameters such as pressure, temperature, flow rate, and liquid level in the pipeline in real time. A data analysis platform is built to receive, store, and process the data collected by the sensors. The platform has powerful data processing capabilities and intelligent analysis algorithms. Then, the data is transmitted to the data analysis platform of the gas gathering station through the RTU wireless transmission system for centralized monitoring and analysis. Step Two: Identification and Early Warning of Fluid Accumulation In this process, an online densitometer is used to directly measure fluid density in the pipeline, an online viscometer is used to measure fluid viscosity, and a compressibility testing device is used to assess the compressibility of the fluid by measuring the volume change under pressure variations. Then, based on parameters such as pipeline roughness, pipe diameter, and elevation changes, combined with fluid mechanics principles and pipeline liquid accumulation characteristics, a liquid accumulation identification model is developed. The data collected by the above sensors is input into the liquid accumulation identification model for real-time monitoring and analysis. When the model determines that the amount of liquid accumulation in the pipeline exceeds a preset threshold, it automatically issues an early warning signal to prompt the operator to take appropriate measures. The appropriate measures are selected based on the pipeline's geometry (diameter, length, curvature, etc.), fluid properties, and external conditions such as temperature, pressure, and flow rate. Step 3: Drainage and treatment of accumulated fluid Upon receiving a warning signal 100 milliseconds later, the intelligent control system automatically triggers the suction process switching mechanism, switching the system from venting and depressurization mode to suction and depressurization mode. The venting valve is closed to prevent direct gas release, which could cause energy loss and environmental pollution. The suction device is then activated to quickly and accurately suction the accumulated liquid in the pipeline, with a startup time of 5 seconds. During suction, the accumulated liquid is collected in a dedicated storage tank and then transported to a treatment unit via centrifugal pumps, screw pumps, and other pumping systems. Gravity causes suspended solids in the liquid to settle to the bottom, achieving solid-liquid separation. This solid-liquid separation removes large particulate impurities and suspended solids. The liquid then passes through a filter... This process removes fine particles and colloidal substances from the accumulated liquid in one step. The filter medium can be sand filtration, depending on the needs. For accumulated liquids containing toxic, harmful, or recalcitrant substances, adsorption towers can be used for adsorption treatment. Activated carbon or resin can be used as the adsorbent in the adsorption tower to effectively remove these substances. For accumulated liquids containing recyclable components, such as organic solvents, distillation towers can be used for distillation recovery. In the distillation tower, the accumulated liquid is vaporized by heating, and then the useful components in the vapor are collected by condensation. After treatment, useful components such as solvents and metal ions in the accumulated liquid can be recovered and stored for reuse. The Darcy-Weisbach equation is as follows: =

[0022] in, It is the head loss along the route. It is the friction coefficient. It is the length of the pipe section. It is the inner diameter of the pipe. It is the average flow velocity of the fluid. It is the acceleration due to gravity, and Bernoulli's equation is: + g = + g

[0023] in, These are the pressures at both ends of the pipe. and These are the flow velocities at both ends of the pipe. and These are the elevations at both ends of the pipeline. This refers to the head loss along the pipe. In the model, the influence of pipe roughness can be considered by introducing a friction coefficient, such as λ in the Darcy-Weisbach formula, and the influence of elevation changes can be considered by introducing an elevation term, such as z in the Bernoulli equation. Substituting the above parameters and conditions into the fluid dynamics model, the model is solved by numerical or analytical methods to obtain the velocity distribution, pressure distribution, and other results of the fluid in the pipe. Based on the velocity and pressure distribution results of the fluid in the pipe, combined with the physical properties of the fluid and the geometry of the pipe, the volume of liquid accumulated in the pipe is calculated. It is necessary to divide the pipe into segments, calculate the liquid volume of each segment, and accumulate them to obtain the total liquid volume. Step 4: Real-time monitoring In the suction and depressurization mode, the pipeline is continuously monitored in real time to continuously monitor changes in pipeline pressure and flow rate, ensuring that the accumulated liquid is effectively pumped out. After the real-time monitoring data is transmitted to the data analysis platform, the data analysis platform stores, processes and analyzes the data collected by the sensors. Step 5: Torch zero-venting control Throughout the entire process, an intelligent control system is used to monitor the flare status in real time and adjust combustion parameters to ensure zero or minimal flare venting during liquid treatment, thereby reducing environmental pollution and energy waste. Step Six: Data Feedback The above processing results are fed back to the data analysis platform for optimization of subsequent liquid accumulation identification and treatment. The liquid accumulation identification threshold and suction equipment parameters can be adjusted according to the actual treatment effect.

[0024] Example 2 The process using this technical solution involves the following steps: Step 1: Data Collection and Analysis First, pressure sensors, temperature sensors, flow sensors, and liquid level sensors are installed on the collection pipeline to collect key parameters such as pressure, temperature, flow rate, and liquid level in the pipeline in real time. A data analysis platform is built to receive, store, and process the data collected by the sensors. The platform has powerful data processing capabilities and intelligent analysis algorithms. Then, the data is transmitted to the data analysis platform of the gas gathering station through the RTU wireless transmission system for centralized monitoring and analysis. Step Two: Identification and Early Warning of Fluid Accumulation In this process, an online densitometer is used to directly measure fluid density in the pipeline, an online viscometer is used to measure fluid viscosity, and a compressibility testing device is used to assess the compressibility of the fluid by measuring the volume change under pressure variations. Then, based on parameters such as pipeline roughness, pipe diameter, and elevation changes, combined with fluid mechanics principles and pipeline liquid accumulation characteristics, a liquid accumulation identification model is developed. The data collected by the above sensors is input into the liquid accumulation identification model for real-time monitoring and analysis. When the model determines that the amount of liquid accumulation in the pipeline exceeds a preset threshold, it automatically issues an early warning signal to prompt the operator to take appropriate measures. The appropriate measures are selected based on the pipeline's geometry (diameter, length, curvature, etc.), fluid properties, and external conditions such as temperature, pressure, and flow rate. Step 3: Drainage and treatment of accumulated fluid Upon receiving the warning signal for 1.5 seconds, the intelligent control system automatically triggers the suction process switching mechanism, switching the system from venting and depressurization mode to suction and depressurization mode. The vent valve is closed to prevent direct gas release, which could cause energy loss and environmental pollution. The suction device is then activated to quickly and accurately extract the accumulated liquid from the pipeline, with an activation time of 12 seconds. During suction, the accumulated liquid is collected in a dedicated storage tank and then transported to a treatment unit via centrifugal pumps, screw pumps, and other pumping systems. Gravity causes suspended solids in the liquid to settle to the bottom, achieving solid-liquid separation. This solid-liquid separation removes large particulate impurities and suspended solids through filtration. The filter further removes tiny particles and colloidal substances from the accumulated liquid. The filter medium can be sand filtration as needed. For accumulated liquids containing toxic, harmful, or recalcitrant substances, an adsorption tower can be used for adsorption treatment. The adsorbent in the adsorption tower can be activated carbon or resin to effectively remove these substances. For accumulated liquids containing recyclable components, such as organic solvents, a distillation tower can be used for distillation recovery. In the distillation tower, the accumulated liquid is vaporized by heating, and then the useful components in the vapor are collected by condensation. After treatment, the solvents, metal ions, and other useful components in the accumulated liquid can be recovered and stored for reuse. The Manning formula is: V =

[0025] Where V is the flow velocity in the channel. It is a conversion constant, and its value is 1 in the International System of Units (SI). It is the hydraulic radius, which is the ratio of the fluid's cross-sectional area to its wetted perimeter. It's the slope of the open channel. Roughness coefficient, also known as roughness factor, is a coefficient that comprehensively reflects the impact of the roughness of the pipe wall surface on water flow. The larger the roughness coefficient, the rougher the boundary surface, and the greater the resistance to water flow; the smaller the roughness coefficient, the smoother the boundary surface, and the smaller the resistance to water flow. It is the acceleration due to gravity, and Bernoulli's equation is: + g = + g

[0026] in, These are the pressures at both ends of the pipe. and These are the flow velocities at both ends of the pipe. and These are the elevations at both ends of the pipeline. This refers to the head loss along the pipe. In the model, the influence of pipe roughness can be considered through the roughness coefficient, n in the Manning formula, and the influence of elevation changes can be considered by introducing an elevation term, such as the z term in the Bernoulli equation. Substituting the above parameters and conditions into the fluid dynamics model, the model is solved by numerical or analytical methods to obtain the velocity distribution, pressure distribution, and other results of the fluid in the pipe. Based on the velocity and pressure distribution results of the fluid in the pipe, combined with the physical properties of the fluid and the geometry of the pipe, the volume of liquid accumulated in the pipe is calculated. It is necessary to divide the pipe into segments, calculate the liquid volume segment by segment, and accumulate the total liquid volume. Step 4: Real-time monitoring In the suction and depressurization mode, the pipeline is continuously monitored in real time to continuously monitor changes in pipeline pressure and flow rate, ensuring that the accumulated liquid is effectively pumped out. After the real-time monitoring data is transmitted to the data analysis platform, the data analysis platform stores, processes and analyzes the data collected by the sensors. Step 5: Torch zero-venting control Throughout the entire process, an intelligent control system is used to monitor the flare status in real time and adjust combustion parameters to ensure zero or minimal flare venting during liquid treatment, thereby reducing environmental pollution and energy waste. Step Six: Data Feedback The above processing results are fed back to the data analysis platform for optimization of subsequent liquid accumulation identification and treatment. The liquid accumulation identification threshold and suction equipment parameters can be adjusted according to the actual treatment effect.

[0027] Example 3 The process using this technical solution involves the following steps: Step 1: Data Collection and Analysis First, pressure sensors, temperature sensors, flow sensors, and liquid level sensors are installed on the collection pipeline to collect key parameters such as pressure, temperature, flow rate, and liquid level in the pipeline in real time. A data analysis platform is built to receive, store, and process the data collected by the sensors. The platform has powerful data processing capabilities and intelligent analysis algorithms. Then, the data is transmitted to the data analysis platform of the gas gathering station through the RTU wireless transmission system for centralized monitoring and analysis. Step Two: Identification and Early Warning of Fluid Accumulation In this process, an online densitometer is used to directly measure fluid density in the pipeline, an online viscometer is used to measure fluid viscosity, and a compressibility testing device is used to assess the compressibility of the fluid by measuring the volume change under pressure variations. Then, based on parameters such as pipeline roughness, pipe diameter, and elevation changes, combined with fluid mechanics principles and pipeline liquid accumulation characteristics, a liquid accumulation identification model is developed. The data collected by the above sensors is input into the liquid accumulation identification model for real-time monitoring and analysis. When the model determines that the amount of liquid accumulation in the pipeline exceeds a preset threshold, it automatically issues an early warning signal to prompt the operator to take appropriate measures. The appropriate measures are selected based on the pipeline's geometry (diameter, length, curvature, etc.), fluid properties, and external conditions such as temperature, pressure, and flow rate. Step 3: Drainage and treatment of accumulated fluid Three seconds after receiving the warning signal, the intelligent control system automatically triggers the suction process switching mechanism, switching the system from venting and depressurization mode to suction and depressurization mode. The vent valve is closed to prevent direct gas release, which could cause energy loss and environmental pollution. The suction device is then activated to quickly and accurately suction the accumulated liquid in the pipeline, with an activation time of 22 seconds. During suction, the accumulated liquid is collected in a dedicated storage tank and then transported to a treatment unit via centrifugal pumps, screw pumps, and other pumping systems. Gravity causes suspended solids in the liquid to settle to the bottom, achieving solid-liquid separation. This separation removes large particulate impurities and suspended solids. Further treatment is achieved through a filter. The first step is to remove tiny particles and colloidal substances from the accumulated liquid. The filter medium in the filter can be sand filtration as needed. For accumulated liquids containing toxic, harmful, or recalcitrant substances, adsorption towers can be used for adsorption treatment. Activated carbon or resin can be used as the adsorbent in the adsorption tower to effectively remove these substances. For accumulated liquids containing recyclable components, such as organic solvents, distillation towers can be used for distillation recovery. In the distillation tower, the accumulated liquid is vaporized by heating, and then the useful components in the vapor are collected by condensation. After treatment, the solvents, metal ions, and other useful components in the accumulated liquid can be recovered and stored for reuse. The Darcy-Weisbach equation is: =

[0028] in, It is the head loss along the route. It is the friction coefficient. It is the length of the pipe section. It is the inner diameter of the pipe. It is the average flow velocity of the fluid. It is the acceleration due to gravity, and Bernoulli's equation is: + g = + g

[0029] in, These are the pressures at both ends of the pipe. and These are the flow velocities at both ends of the pipe. and These are the elevations at both ends of the pipeline. This refers to the head loss along the pipe. In the model, the influence of pipe roughness can be considered by introducing a friction coefficient, such as λ in the Darcy-Weisbach formula, and the influence of elevation changes can be considered by introducing an elevation term, such as z in the Bernoulli equation. Substituting the above parameters and conditions into the fluid dynamics model, the model is solved by numerical or analytical methods to obtain the velocity distribution, pressure distribution, and other results of the fluid in the pipe. Based on the velocity and pressure distribution results of the fluid in the pipe, combined with the physical properties of the fluid and the geometry of the pipe, the volume of liquid accumulated in the pipe is calculated. It is necessary to divide the pipe into segments, calculate the liquid volume of each segment, and accumulate them to obtain the total liquid volume. Step 4: Real-time monitoring In the suction and depressurization mode, the pipeline is continuously monitored in real time to continuously monitor changes in pipeline pressure and flow rate, ensuring that the accumulated liquid is effectively pumped out. After the real-time monitoring data is transmitted to the data analysis platform, the data analysis platform stores, processes and analyzes the data collected by the sensors. Step 5: Torch zero-venting control Throughout the entire process, an intelligent control system is used to monitor the flare status in real time and adjust combustion parameters to ensure zero or minimal flare venting during liquid treatment, thereby reducing environmental pollution and energy waste. Step Six: Data Feedback The above processing results are fed back to the data analysis platform for optimization of subsequent liquid accumulation identification and treatment. The liquid accumulation identification threshold and suction equipment parameters can be adjusted according to the actual treatment effect.

[0030] Example 4 The process using this technical solution involves the following steps: Step 1: Data Collection and Analysis First, pressure sensors, temperature sensors, flow sensors, and liquid level sensors are installed on the collection pipeline to collect key parameters such as pressure, temperature, flow rate, and liquid level in the pipeline in real time. A data analysis platform is built to receive, store, and process the data collected by the sensors. The platform has powerful data processing capabilities and intelligent analysis algorithms. Then, the data is transmitted to the data analysis platform of the gas gathering station through the RTU wireless transmission system for centralized monitoring and analysis. Step Two: Identification and Early Warning of Fluid Accumulation In this process, an online densitometer is used to directly measure fluid density in the pipeline, an online viscometer is used to measure fluid viscosity, and a compressibility testing device is used to assess the compressibility of the fluid by measuring the volume change under pressure variations. Then, based on parameters such as pipeline roughness, pipe diameter, and elevation changes, combined with fluid mechanics principles and pipeline liquid accumulation characteristics, a liquid accumulation identification model is developed. The data collected by the above sensors is input into the liquid accumulation identification model for real-time monitoring and analysis. When the model determines that the amount of liquid accumulation in the pipeline exceeds a preset threshold, it automatically issues an early warning signal to prompt the operator to take appropriate measures. The appropriate measures are selected based on the pipeline's geometry (diameter, length, curvature, etc.), fluid properties, and external conditions such as temperature, pressure, and flow rate. Step 3: Drainage and treatment of accumulated fluid Five seconds after receiving the warning signal, the intelligent control system automatically triggers the suction process switching mechanism, switching the system from venting and depressurization mode to suction and depressurization mode. The vent valve is closed to prevent direct gas release, which could cause energy loss and environmental pollution. The suction device is then activated to quickly and accurately extract the accumulated liquid from the pipeline. The activation time is 30 seconds. During suction, the accumulated liquid is collected in a dedicated storage tank and then transported to a treatment unit via centrifugal pumps, screw pumps, and other pumping systems. Gravity causes suspended solids in the liquid to settle to the bottom, achieving solid-liquid separation. This solid-liquid separation removes large particulate impurities and suspended solids, which are then filtered... To further remove fine particles and colloidal substances from the accumulated liquid, the filter medium in the filter can be sand filtration as needed. For accumulated liquids containing toxic, harmful, or recalcitrant substances, adsorption towers can be used for adsorption treatment. Activated carbon or resin can be used as the adsorbent in the adsorption tower to effectively remove these substances. For accumulated liquids containing recyclable components, such as organic solvents, distillation towers can be used for distillation recovery. In the distillation tower, the accumulated liquid is vaporized by heating, and then the useful components in the vapor are collected by condensation. After treatment, useful components such as solvents and metal ions in the accumulated liquid can be recovered and stored for reuse. The Manning formula is: V =

[0031] Where V is the flow velocity in the channel. It is a conversion constant, and its value is 1 in the International System of Units (SI). It is the hydraulic radius, which is the ratio of the fluid's cross-sectional area to its wetted perimeter. It's the slope of the open channel. Roughness coefficient, also known as roughness factor, is a coefficient that comprehensively reflects the impact of the roughness of the pipe wall surface on water flow. The larger the roughness coefficient, the rougher the boundary surface, and the greater the resistance to water flow; the smaller the roughness coefficient, the smoother the boundary surface, and the smaller the resistance to water flow. It is the acceleration due to gravity, and Bernoulli's equation is: + g = + g

[0032] in, These are the pressures at both ends of the pipe. and These are the flow velocities at both ends of the pipe. and These are the elevations at both ends of the pipeline. This refers to the head loss along the pipe. In the model, the influence of pipe roughness can be considered through the roughness coefficient, n in the Manning formula, and the influence of elevation changes can be considered by introducing an elevation term, such as the z term in the Bernoulli equation. Substituting the above parameters and conditions into the fluid dynamics model, the model is solved by numerical or analytical methods to obtain the velocity distribution, pressure distribution, and other results of the fluid in the pipe. Based on the velocity and pressure distribution results of the fluid in the pipe, combined with the physical properties of the fluid and the geometry of the pipe, the volume of liquid accumulated in the pipe is calculated. It is necessary to divide the pipe into segments, calculate the liquid volume segment by segment, and accumulate the total liquid volume. Step 4: Real-time monitoring In the suction and depressurization mode, the pipeline is continuously monitored in real time to continuously monitor changes in pipeline pressure and flow rate, ensuring that the accumulated liquid is effectively pumped out. After the real-time monitoring data is transmitted to the data analysis platform, the data analysis platform stores, processes and analyzes the data collected by the sensors. Step 5: Torch zero-venting control Throughout the entire process, an intelligent control system is used to monitor the flare status in real time and adjust combustion parameters to ensure zero or minimal flare venting during liquid treatment, thereby reducing environmental pollution and energy waste. Step Six: Data Feedback The above processing results are fed back to the data analysis platform for optimization of subsequent liquid accumulation identification and treatment. The liquid accumulation identification threshold and suction equipment parameters can be adjusted according to the actual treatment effect.

[0033] Through the above steps, the process of this invention is monitored and controlled in real time by an intelligent control system. At the same time, the data analysis platform has powerful data processing capabilities and intelligent analysis algorithms, realizing the intelligent and automated identification, early warning, extraction, treatment and flare control of the sludge. By reducing energy loss and environmental pollution, the operating costs of enterprises are reduced. The useful components in the treated sludge can be recovered and stored for reuse, which improves the resource recycling rate. This solves the problem that traditional skid-mounted processes rely more on the venting and depressurization mode, resulting in the direct venting of a large amount of gas, which may have a weak ability to identify sludge in the gas extraction pipeline, and may also cause flare phenomena.

[0034] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the above embodiments. Within the scope of knowledge possessed by those skilled in the art, various changes can be made without departing from the spirit of the present invention.

Claims

1. An integrated skid-mounted process for stations, characterized in that, The steps are as follows: Step 1: Data Collection and Analysis First, pressure sensors, temperature sensors, flow sensors, and liquid level sensors are installed on the collection pipeline to collect key parameters such as pressure, temperature, flow rate, and liquid level in the pipeline in real time. A data analysis platform is built to receive, store, and process the data collected by the sensors. The platform has powerful data processing capabilities and intelligent analysis algorithms. Then, the data is transmitted to the data analysis platform of the gas gathering station through the RTU wireless transmission system for centralized monitoring and analysis. Step Two: Identification and Early Warning of Fluid Accumulation In the pipeline, an online densitometer is used to directly measure the fluid density, an online viscometer is used to measure the fluid viscosity, and a compressibility testing device is used to assess the compressibility of the fluid by measuring the volume change under pressure changes. Then, based on parameters such as pipeline roughness, pipe diameter, and elevation changes, combined with fluid mechanics principles and pipeline liquid accumulation characteristics, a liquid accumulation identification model is developed. The data collected by the above sensors are input into the liquid accumulation identification model for real-time monitoring and analysis. When the model determines that the amount of liquid accumulation in the pipeline exceeds a preset threshold, an early warning signal is automatically issued to prompt the operator to take appropriate measures. Step 3: Drainage and treatment of accumulated fluid Upon receiving an early warning signal, the intelligent control system automatically triggers the suction process switching mechanism, switching the system from venting and depressurization mode to suction and depressurization mode. The venting valve is closed to prevent direct gas release, which could lead to energy loss and environmental pollution. The suction device is then activated to quickly and accurately suction the accumulated liquid in the pipeline. During suction, the liquid is collected in a dedicated storage tank and then transported to a treatment device via centrifugal pumps, screw pumps, or other pumping systems. Gravity causes suspended solids in the liquid to settle to the bottom, achieving solid-liquid separation. A filter further removes fine particles and colloidal substances from the liquid. For liquids containing toxic or harmful substances or recalcitrant materials, an adsorption tower can be used for adsorption treatment. For liquids containing recyclable components, such as organic solvents, a distillation tower can be used for distillation recovery. After treatment, useful components such as solvents and metal ions in the liquid can be recovered and stored for reuse. Step 4: Real-time monitoring In the suction and depressurization mode, the pipeline is continuously monitored in real time to ensure that the accumulated liquid is effectively pumped out. Step 5: Torch zero-venting control Throughout the entire process, an intelligent control system is used to monitor the flare status in real time and adjust combustion parameters to ensure zero or minimal flare venting during liquid treatment, thereby reducing environmental pollution and energy waste. Step Six: Data Feedback The above processing results are fed back to the data analysis platform for optimization of subsequent liquid accumulation identification and treatment. The liquid accumulation identification threshold and suction equipment parameters can be adjusted according to the actual treatment effect.

2. The integrated skid-mounted process for stations according to claim 1, characterized in that: In step two, based on the pipe's diameter, length, curvature and other geometric shapes, fluid properties and external conditions such as temperature, pressure and flow velocity, a suitable fluid dynamics model is selected for simulation calculation. The models include the Navier-Stokes equation, the Bernoulli equation and the Darcy-Weisbach formula.

3. The integrated skid-mounted process for stations according to claim 2, characterized in that: The Darcy-Weisbach formula is: ＝ in, It is the head loss along the route. It is the friction coefficient. It is the length of the pipe section. It is the inner diameter of the pipe. It is the average flow velocity of the fluid. It is the acceleration due to gravity, and Bernoulli's equation is: + g = + g in, These are the pressures at both ends of the pipe. and These are the flow velocities at both ends of the pipe. and These are the elevations at both ends of the pipeline. This refers to head loss along the route.

4. The integrated skid-mounted process for stations according to claim 3, characterized in that: In the model, the influence of pipe roughness can be considered by introducing a friction coefficient, such as λ in the Darcy-Weisbach formula, and the influence of elevation changes can be considered by introducing an elevation term, such as z in the Bernoulli equation. Substituting the above parameters and conditions into the fluid dynamics model, the model is solved by numerical or analytical methods to obtain the velocity distribution, pressure distribution, and other results of the fluid in the pipe. Based on the velocity and pressure distribution results of the fluid in the pipe, combined with the physical properties of the fluid and the geometry of the pipe, the volume of liquid accumulated in the pipe is calculated. It is necessary to divide the pipe into segments, calculate the liquid volume segment by segment, and accumulate the total liquid volume.

5. The integrated skid-mounted process for station use according to claim 1, characterized in that: The warning response time in step three is between 100 milliseconds and 5 seconds.

6. The integrated skid-mounted process for stations according to claim 1, characterized in that: In step three, the time from receiving the warning signal to completing the switch from venting and depressurization to suction and depressurization, including closing the venting valve and starting the suction device, is between 5 and 30 seconds.

7. The integrated skid-mounted process for stations according to claim 1, characterized in that: In step three, solid-liquid separation removes large particulate impurities and suspended solids. The filter medium in the filter can be sand filtration or activated carbon adsorption as needed.

8. The integrated skid-mounted process for stations according to claim 1, characterized in that: In step three, the adsorbent in the adsorption tower can be activated carbon or resin to effectively remove these substances. In the distillation tower, the accumulated liquid is vaporized by heating, and then the useful components in the vapor are collected by condensation.

9. The integrated skid-mounted process for stations according to claim 1, characterized in that: After the real-time monitoring data in step four is transmitted to the data analysis platform, the data analysis platform stores, processes, and analyzes the data collected by the sensors.

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