Multi-stage circulating treatment system and method for drilling slag slurry

Abstract

The invention relates to the technical field of drilling waste treatment, in particular to a drilling slag slurry multi-stage circulation treatment system and method.The drilling slag slurry multi-stage circulation treatment system comprises an automatic grading module, a dynamic monitoring module, a slurry purification module, a separation optimization module, a waste slag classification recycling module and an intelligent control module; wherein the automatic grading module comprises a particle identification unit and a variable frequency grading unit; the particle identification unit is used for carrying out real-time detection on the size, the form and the density of particles in the drilling slag and the slurry through a multispectral sensor; the variable-frequency grading unit is used for adjusting the grading speed according to the detection data provided by the particle identification unit and carrying out dynamic grading on the particles; the dynamic monitoring module comprises an online sensor and a data analysis unit; according to the invention, through intelligent monitoring and automatic adjustment technologies, efficient grading, filtering and separation of drilling slag slurry and intelligent classification of waste slag are realized, and efficient operation of the system, improvement of the resource recovery rate and reduction of environmental pollution are ensured.

Description

Technical Field

[0001] The invention relates to the technical field of drilling waste treatment, and in particular to a multi-stage circulation treatment system and method for drilling waste slurry. Background Art

[0002] In the process of exploitation of resources such as oil, natural gas, and minerals, drilling operations will generate a large amount of drill cuttings and mud. These wastes contain particles of various sizes, chemical pollutants, and mud components. Treating these wastes is crucial for resource recycling and environmental protection. Existing treatment methods usually use a single separation, filtration, or chemical purification method, but there are obvious limitations in efficient grading, purification, and classification treatment. A single technology is difficult to adapt to the complex and changeable characteristics of mud particles, resulting in low treatment efficiency, high energy consumption, easy equipment clogging, and inability to fully recover valuable resources. In addition, with the improvement of environmental protection requirements and the complexity of drilling operations, the treatment system needs to have efficient and intelligent automatic adjustment capabilities to ensure stable operation under various working conditions.

[0003] The current technical difficulties are mainly concentrated in three aspects: first, how to achieve efficient classification and filtration of particles of different sizes and densities in the mud to avoid equipment blockage and reduced efficiency; second, how to dynamically adjust the processing flow according to the particle characteristics and composition changes in the mud to ensure the automatic optimization of the system; third, how to intelligently classify the separated waste residues to achieve resource utilization and minimize environmental pollution. Therefore, it has become an urgent need in the current technical field to develop a multi-stage circulation treatment system and method for drilling mud that can integrate classification, filtration, separation and waste residue classification and treatment, and has dynamic adjustment functions. Summary of the invention

[0004] Based on the above purpose, the present invention provides a multi-stage circulation treatment system and method for drilling mud.

[0005] The multi-stage circulation treatment system for drilling slag mud includes an automatic classification module, a dynamic monitoring module, a mud purification module, a separation optimization module, a waste residue classification and recovery module, and an intelligent control module; among which: Automatic classification module: including particle recognition unit and variable frequency classification unit; The particle identification unit detects the size, shape and density of particles in drilling cuttings and mud in real time through a multi-spectral sensor; The variable frequency classification unit is used to adjust the classification speed according to the detection data provided by the particle recognition unit to dynamically classify the particles.

[0006] Dynamic monitoring module: including online sensors and data analysis units; The online sensor is installed between the automatic classification module and the separation optimization module to monitor the particle flow rate, concentration and composition changes after classification in real time; The data analysis unit analyzes the particle distribution and mud state based on the monitoring data of the online sensor to identify the mud state data.

[0007] Mud purification module: including multi-stage filtration unit and trace chemical treatment unit; The multi-stage filtration unit is used to filter particles in sequence through filter screens with different pore sizes; The trace chemical processing unit is used to automatically adjust the amount of chemical reagents added according to the mud status data of the dynamic monitoring module.

[0008] Separation optimization module: including centrifugal separation unit and automatic screen adjustment unit; The centrifugal separation unit is used to automatically adjust the centrifugal speed based on the particle flow rate and concentration data provided by the dynamic monitoring module to separate particles of different particle sizes in the mud; The automatic screen adjustment unit is used to adjust the pore size of the filter according to the feedback data of the dynamic monitoring module to ensure the maximum separation efficiency.

[0009] Waste residue classification and recycling module: including waste residue classification unit and resource utilization unit; The waste residue classification unit automatically classifies the waste residue based on the separation particle data provided by the separation optimization module; The resource utilization unit is used to physically or chemically treat the classified waste residues.

[0010] Intelligent control module: including data acquisition unit, analysis and decision-making unit and execution control unit; The data acquisition unit is used to collect the operation data of the automatic classification module, the dynamic monitoring module, the mud purification module, the separation optimization module and the waste residue classification and recovery module in real time; The analysis and decision-making unit formulates optimization strategies for system operation based on the collected data, combined with historical operating parameters and real-time monitoring data; The execution control unit is used to automatically adjust the operating parameters of each module according to the optimization strategy output by the analysis and decision-making unit.

[0011] Optionally, the variable frequency classification unit includes: Speed ​​control subunit: Through the electric speed control device, the speed of the grading equipment is adjusted in real time according to the preset grading standards of particle size and density to ensure that the grading process adapts to the dynamic changes of different particles; Frequency adjustment subunit: adjusts the vibration frequency of the grading device through the control circuit to achieve switching between high frequency and low frequency to adapt to different particle sizes and densities; Particle guide subunit: used to adjust the movement path of particles according to the changes in rotation speed and vibration frequency during the classification process, ensuring that each type of particle enters the corresponding classification area according to the set trajectory.

[0012] Optionally, the data analysis unit includes: Particle distribution calculation subunit: By receiving the particle size and concentration data provided by the online sensor, using the formula ,in, Particle size The proportion of particles in the total particles, The particle size is The number of particles, is the total number of particles, and the particle size distribution curve is calculated; Mud viscosity monitoring subunit: Based on the mud flow rate and pressure data measured by the online sensor, the formula ,in, Indicates the viscosity of the mud, represents the shear stress, Indicates the shear rate and calculates the real-time viscosity value of the mud; Mud component identification subunit: Based on the spectral analysis data provided by the sensor, the proportion of each component in the mud is identified by comparing it with the mud component database.

[0013] Optionally, the multi-stage filtration unit comprises: Coarse filter unit: used for primary particle filtration, including multiple layers of filter screens with large pore sizes ranging from 0.5 mm to 2 mm; Fine filter unit: used to filter smaller particles, the filter mesh pore size range is 0.01 mm to 0.5 mm; Automatic adjustment subunit: used to automatically adjust the aperture selection and filtering sequence of the filter screens in the coarse filter subunit and the fine filter subunit according to the particle concentration and size data provided by the dynamic monitoring module.

[0014] Optionally, the trace chemical processing unit comprises: Chemical reagent delivery subunit: automatically controls the delivery amount of chemical reagents by receiving real-time data of pollutant concentration and mud flow in the mud provided by the dynamic monitoring module; Concentration adjustment subunit: automatically adjusts the concentration of chemical reagents based on mud status data, including pH value or pollutant content in the mud; Feedback control subunit: According to the feedback data of the treatment effect after the chemical reagent is added, the subsequent addition amount is adjusted, and by monitoring the residual pollutants and mud properties after mud treatment, the subsequent chemical reagent addition strategy is optimized to prevent over- or under-dosage.

[0015] Optionally, the centrifugal separation unit comprises: Speed ​​control subunit: used to adjust the speed of the centrifugal separation unit according to the particle flow rate and particle concentration data provided by the dynamic monitoring module to ensure that the speed dynamically matches the flow rate and concentration of particles in the mud; Flow rate regulating subunit: used to control the flow rate of mud entering the centrifugal separation unit according to the particle flow rate data, so that the flow rate can adapt to the speed adjustment of centrifugal separation; Particle size detection feedback subunit: Based on the particle size data provided by the dynamic monitoring module, the effect of centrifugal separation is judged through real-time detection of the particle size after separation. If it is detected that the separation effect is not good, the speed setting of the speed control subunit is readjusted.

[0016] Optionally, the automatic screen adjustment unit includes: Aperture selection subunit: by receiving the particle size and flow rate data provided by the dynamic monitoring module, the aperture size of the screen is adjusted to achieve effective separation of particles of different sizes; Filtration accuracy adjustment subunit: It is used to dynamically adjust the aperture of the screen according to the particle concentration and particle distribution data in the mud provided by the dynamic monitoring module to ensure that the filtration accuracy is improved when the particle concentration is high.

[0017] Optionally, the waste residue classification unit specifically includes: Step 1: Receive the particle size and particle density data from the separation optimization module, calculate the mass of the particles, and determine the physical properties of the particles based on the volume and density characteristics of the particles to provide a basis for subsequent classification; Step 2: Use the mass and shape parameters of the particles to evaluate their recyclability. By calculating the recovery coefficient, determine whether the particles have recycling value. If the recovery coefficient reaches the preset threshold, they are marked as recyclable particles. Otherwise, they are classified as non-recyclable waste residues. Step 3: For recyclable particles, calculate the recycling value based on their quality and purity, and sort the particles according to their market value to ensure that particles with higher recycling value are processed first; Step 4: For non-recyclable waste residues, the environmental hazard coefficient is calculated based on the chemical composition and density of the particles. If the hazard coefficient exceeds the preset threshold, the particles will be marked as hazardous waste residues and require special treatment; otherwise, they will be classified as general waste for conventional treatment; Step 5: Based on the classification results, recyclable waste residues and non-recyclable waste residues are directed to different treatment paths.

[0018] Optionally, the analysis and decision-making unit specifically includes: Receive real-time data from the dynamic monitoring module and other modules, including the particle distribution, flow rate, concentration, viscosity and system operating status parameters of the mud, and call the operating parameters in the system history database, including the mud treatment efficiency, equipment load, filtration efficiency and energy consumption data of similar working conditions in the past; Compare and analyze real-time data with historical operating parameters to identify the difference between the current system operating status and the historical best status; Based on the data comparison results, the optimization paths of different operation strategies are calculated, and multiple optimization strategies are proposed based on the parameters of the equipment's operating load, separation efficiency, and filter life, combined with the best operation strategies verified in historical working conditions; Evaluate the potential effects of all optimization strategies, predict the processing effects, energy consumption, and equipment wear of different strategies under current conditions, and identify the best optimization path in advance through prediction to provide a basis for subsequent decision-making.

[0019] A multi-stage circulation treatment method for drilling mud is implemented by the above-mentioned multi-stage circulation treatment system for drilling mud, and comprises the following steps: S1: Preliminary classification of particles in drilling mud, by detecting the size and density of particles, adjusting the classification speed in real time, and dynamically classifying them according to the characteristics of different particles; S2: Real-time monitoring of the mud state after classification, obtaining data on particle velocity, concentration, and viscosity, and analyzing and identifying mud state information; S3: Perform multi-stage filtration on the classified mud, and dynamically adjust the pore size and filtration order during the filtration process according to the changes in particle concentration and size; S4: According to the flow rate and concentration of particles, the separation speed in the mud is adjusted, and particles of different sizes are efficiently separated by adjusting the speed. At the same time, the filter aperture is dynamically adjusted according to the feedback data to optimize the separation effect; S5: Automatically classify the separated waste residues, calculate the mass and shape parameters of the particles, and determine whether they are recyclable; S6: Based on real-time monitoring data and historical operating parameters, formulate system optimization strategies and automatically adjust the operating parameters of each step, including classification speed, filtration pore size and separation speed, to ensure that the best operating state is always maintained under different operating conditions.

[0020] Beneficial effects of the present invention: The present invention realizes efficient multi-stage classification, filtration and separation of particles in the drilling mud by real-time monitoring of key data such as particle size, concentration, flow rate and viscosity in the drilling mud, combined with intelligent adjustment technology. The method can dynamically adjust the classification speed, filtration aperture and separation speed according to the particle characteristics to ensure that particles of different particle sizes are accurately separated, avoiding equipment clogging and reduced processing efficiency. At the same time, the system automatically optimizes the processing flow through intelligent decision-making, reduces energy consumption, and improves the overall operation efficiency and stability.

[0021] The present invention intelligently classifies the separated waste residues through automatic classification technology, and determines whether the waste residues are recyclable based on their physical and chemical properties, thereby realizing resource utilization of waste. This technology can not only improve the resource recovery rate, but also reduce pollution to the environment, reduce the cost of waste treatment, and further improve the environmental protection and economic benefits in drilling operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the prior art description are briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. Figure 1 A schematic diagram of a multi-stage circulation treatment system for drilling slurry according to an embodiment of the present invention; Figure 2 Schematic diagram of a multi-stage circulation treatment method for drilling slurry according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0024] It should be noted that the references to "one embodiment", "embodiment", "exemplary embodiments", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0025] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0026] like Figure 1 As shown, the multi-stage circulation treatment system for drilling slag mud includes an automatic classification module, a dynamic monitoring module, a mud purification module, a separation optimization module, a waste slag classification and recovery module and an intelligent control module; wherein: Automatic classification module: including particle recognition unit and variable frequency classification unit; The particle identification unit uses a multispectral sensor to detect the size, shape and density of particles in drilling cuttings and mud in real time; A variable frequency classification unit is used to adjust the classification speed according to the detection data provided by the particle recognition unit to dynamically classify the particles. The particle size and morphology data generated by the automatic classification module are transmitted to the dynamic monitoring module in real time for subsequent processing decisions; Dynamic monitoring module: including online sensors and data analysis units; The online sensor is installed between the automatic classification module and the separation optimization module to monitor the particle flow rate, concentration and composition changes after classification in real time; The data analysis unit analyzes the particle distribution and mud state based on the monitoring data of the online sensor to identify the mud state data, including mud particle size distribution, particle concentration, particle morphology and density, mud viscosity and mud composition; the analysis results are transmitted to the separation optimization module for optimizing the subsequent separation process, and fed back to the intelligent control module to achieve dynamic adjustment of system parameters; Mud purification module: including multi-stage filtration unit and trace chemical treatment unit; The multi-stage filtration unit is used to filter particles in sequence through filters with different apertures. The residual particles in the mud are fed back to the dynamic monitoring module in real time through the filtration data; The micro-chemical processing unit is used to automatically adjust the amount of chemical reagents according to the mud status data of the dynamic monitoring module, so as to ensure the stability of the mud composition; Separation optimization module: including centrifugal separation unit and automatic screen adjustment unit; The centrifugal separation unit is used to automatically adjust the centrifugal speed based on the particle flow rate and concentration data provided by the dynamic monitoring module to separate particles of different sizes in the mud; Automatic screen adjustment unit, used to adjust the pore size of the filter according to the feedback data of the dynamic monitoring module to ensure the maximum separation efficiency, and feed back the adjusted particle size and flow data to the intelligent control module; Waste residue classification and recycling module: including waste residue classification unit and resource utilization unit; A waste residue classification unit automatically classifies waste residue based on the separation particle data provided by the separation optimization module; Resource utilization unit, used to physically or chemically treat the classified waste residues; Intelligent control module: including data acquisition unit, analysis and decision-making unit and execution control unit; A data acquisition unit, used to collect real-time operation data of the automatic classification module, dynamic monitoring module, mud purification module, separation optimization module and waste residue classification and recovery module; The analysis and decision-making unit formulates optimization strategies for system operation based on the collected data, combined with historical operating parameters and real-time monitoring data; The execution control unit is used to automatically adjust the operating parameters of each module according to the optimization strategy output by the analysis and decision-making unit to ensure the stable and efficient operation of the entire system.

[0027] The variable frequency grading unit includes: Speed ​​control subunit: Through the electric speed control device, the speed of the grading equipment is adjusted in real time according to the preset grading standards of particle size and density to ensure that the grading process adapts to the dynamic changes of different particles; Frequency adjustment subunit: adjusts the vibration frequency of the grading device through the control circuit to achieve the switching between high frequency and low frequency to adapt to the particle size and density of different particles, ensuring the accuracy and efficiency of the grading process; Particle guide subunit: used to adjust the movement path of particles according to the changes in rotation speed and vibration frequency during the classification process, to ensure that various types of particles enter the corresponding classification area according to the set trajectory, and to prevent particle mixing; the above-mentioned variable frequency classification unit realizes dynamic adjustment of equipment rotation speed, frequency and particle guidance through the coordinated work of the above-mentioned subunits, to ensure the accuracy and operability of classification under different particle characteristics.

[0028] In a specific embodiment, when the diameter of the particles entering the system is relatively large (e.g., the average diameter 2 mm) and have a higher density (e.g. 2.5 g / cm3), the system obtains these parameters through the particle recognition unit and passes them to the speed control subunit; the speed control subunit uses the formula ,in, is a constant related to the characteristics of the grading equipment to calculate the optimal speed of the equipment. For example, if is a constant of 5, then the speed is 5. Units / second, this adjustment process ensures that the system's rotation speed matches the size and density of the particles, allowing large particles to be effectively coarsely classified while small particles do not leave the classification zone prematurely.

[0029] According to the particle size and density information identified above, the frequency adjustment subunit is responsible for adjusting the vibration frequency of the device to achieve further subdivision of the particles. ,in, is the constant of the vibration device, for example, , then the vibration frequency for Hertz, which means that smaller particles require a higher vibration frequency to achieve classification, ensuring that particles of different sizes can be screened according to the predetermined frequency to improve the accuracy of classification.

[0030] The particle guide subunit is based on the particle identification data in the above embodiment and the rotation speed during the classification process. and frequency The particle guide subunit automatically adjusts the movement path of the particles using the formula ,in, is the particle orientation angle, is a constant; assuming is 2, then the guide angle for The subunit adjusts the angle of the guide device so that different particles enter the corresponding processing path according to their classification results, ensuring precise guidance and avoiding the mixing of particles, thereby improving the efficiency of classification.

[0031] The data analysis unit includes: Particle distribution calculation subunit: By receiving the particle size and concentration data provided by the online sensor, using the formula ,in, Particle size The proportion of particles in the total particles, The particle size is The number of particles, The total number of particles is used to calculate the particle size distribution curve. The distribution data can be used to adjust the subsequent classification and purification operations in real time to ensure classification accuracy. Mud viscosity monitoring subunit: Based on the mud flow rate and pressure data measured by the online sensor, the formula ,in, Indicates the viscosity of the mud, represents the shear stress, Indicates the shear rate and calculates the real-time viscosity value of the mud; the viscosity data is used to guide the separation and purification modules to make adjustments to ensure that the mud fluidity meets the process requirements; Mud component identification subunit: Based on the spectral analysis data provided by the sensor, the proportion of each component in the mud is identified by comparing it with the mud component database. This subunit can extract the concentration of solid particles, liquid components and harmful substances in the mud, and calculate the relevant processing parameters based on this to ensure that the purification module adjusts the amount of chemical reagents added according to the actual composition; through the coordinated work of the above subunits, the data analysis unit can conduct a comprehensive and real-time analysis of the particle distribution, viscosity and composition of the mud, ensuring that the system adjusts the operating parameters of each processing module under different working conditions to achieve accurate and efficient mud treatment.

[0032] The multi-stage filtration unit includes: Coarse filter subunit: used for primary particle filtration, including multiple layers of filter screens with large pore sizes ranging from 0.5 mm to 2 mm. The function of this subunit is to remove large particles of drilling debris and impurities in the mud to prevent clogging in the subsequent fine filtration stage and facilitate subsequent processing; Fine filter unit: used to filter smaller particles. The filter mesh aperture ranges from 0.01 mm to 0.5 mm. Fine particles are filtered step by step through multiple layers of small-aperture filters to make the mud reach the required purity. This process ensures that the residual particles in the mud are gradually filtered, providing the subsequent mud purification module to process finer mud; Automatic adjustment subunit: It is used to automatically adjust the aperture selection and filtering sequence of the filter screens in the coarse filter subunit and the fine filter subunit according to the particle concentration and size data provided by the dynamic monitoring module, ensuring that when the mud particle characteristics change, the filter screen selection and filtering path can respond in time to avoid reduced filtration efficiency or equipment blockage.

[0033] The specific steps for adjusting the pore size and filtering order of the filter screens in the coarse filter subunit and the fine filter subunit are as follows: First, by receiving particle concentration in real time and particle size Data, using formula ,in, Indicates the currently selected filter aperture. is a constant related to the filter characteristics of the filtration equipment. This formula ensures that when the particle size is large And the concentration is low When the particle size is small and the concentration is high, choose a filter with a smaller pore size to improve the filtration accuracy. Then, based on the particle size data , the order of the coarse filter unit and the fine filter unit is adjusted by judging the change trend of the particle size. With preset particle size threshold relationship, if , the coarse filter unit is first enabled for preliminary filtration; if , the fine filter unit is enabled first for detailed filtration; ensure that the filtration order is dynamically adjusted according to the size and characteristics of the particles.

[0034] The trace chemical processing unit includes: Chemical reagent delivery subunit: receives pollutant concentration in mud provided by dynamic monitoring module and mud flow The real-time data can be used to automatically control the amount of chemical reagents added. The specific formula is: ,in, is the volume of chemical reagents, It is a proportional constant related to specific reagents and mud characteristics, ensuring that the amount of chemical reagents added matches the pollutant concentration and mud flow rate to achieve the best treatment effect; Concentration adjustment subunit: Based on the mud status data, including the pH value or pollutant content in the mud, the concentration of the chemical reagents added is automatically adjusted. Specifically, through the monitoring feedback of the mud, it is calculated whether the current reagent concentration meets the treatment requirements. If not, the system will adjust the concentration according to the formula ,in is the adjusted reagent concentration, is the concentration of the basic reagent, To ensure that the concentration of chemical reagents is balanced with the demand of pollutants in the mud by adjusting the concentration increment according to monitoring data; Feedback control subunit: According to the feedback data of the treatment effect after the chemical reagent is put in, the subsequent amount of chemical reagent is adjusted. By monitoring the residual pollutants and mud properties after mud treatment, the subsequent chemical reagent placement strategy is optimized to prevent over- or under-dosage. The system adjusts the dosage formula ,in is the final amount of chemical reagents added, To provide feedback correction coefficients to ensure dynamic regulation and optimization of the chemical reagent delivery process; through automatic delivery, concentration adjustment and feedback control of chemical reagents, the delivery amount of chemical reagents can be accurately controlled according to the mud state data provided by the dynamic monitoring module, ensuring stable and accurate treatment effects and avoiding waste of reagents and improper handling.

[0035] The centrifugal separation unit includes: Speed ​​control subunit: used to control the particle flow rate according to the dynamic monitoring module and particle concentration Data, adjust the speed of the centrifugal separation unit , the formula is: ,in is the rotation speed of the centrifugal separation unit, The constant related to the characteristics of the equipment ensures that the rotation speed is dynamically matched with the velocity and concentration of the particles in the slurry. Particles with high concentration or high velocity require a higher rotation speed to ensure effective separation, while particles with low concentration or low velocity are suitable for a lower rotation speed. Flow rate adjustment subunit: used to adjust the particle flow rate Data, control the flow rate of mud entering the centrifugal separation unit, so that the flow rate adapts to the speed adjustment of centrifugal separation. The function of the flow rate regulating subunit is to ensure that the particles in the centrifugal separation unit can be effectively separated within a suitable time, and avoid too fast or too slow flow affecting the separation effect; Particle size detection feedback subunit: based on particle size data provided by the dynamic monitoring module , through real-time detection of the size of the particles after separation, the effect of centrifugal separation is judged. If it is detected that the separation effect is not good (for example, small particles are not effectively separated), the speed setting of the speed control subunit is readjusted to make the speed better match the separation requirements of different particle sizes; through the coordinated work of the above subunits, the centrifugal separation unit can dynamically adjust the centrifugal speed according to the flow rate and concentration data of the particles in the mud, ensuring that particles of different particle sizes in the mud are efficiently separated, improving separation accuracy and efficiency, and preventing excessive load on the equipment or waste of resources.

[0036] The automatic screen adjustment unit includes: Aperture selection subunit: receives the particle size provided by the dynamic monitoring module and flow rate Data, adjust the aperture size of the sieve to achieve effective separation of particles of different sizes; the specific adjustment formula is: ,in, is the sieve aperture size, is a constant related to the characteristics of the sieve. This subunit automatically selects the optimal sieve aperture according to the change in particle size, ensuring that large particles are filtered quickly while small particles can enter the next filtration stage; Filter accuracy adjustment subunit: used to adjust the particle concentration in the mud according to the dynamic monitoring module The system dynamically adjusts the aperture of the screen based on the particle distribution data to ensure that the filtration accuracy is improved when the particle concentration is high. Specifically, if the particle concentration is high, the system will automatically reduce the aperture of the screen to improve the screening efficiency; conversely, when the particle concentration is low, the aperture will be appropriately increased to increase the processing speed.

[0037] The automatic classification of waste residues in the waste residue classification unit specifically includes: Step 1: Receive the particle size and particle density data from the separation optimization module, calculate the mass of the particles, and determine the physical properties of the particles based on the volume and density characteristics of the particles to provide a basis for subsequent classification; Step 2: Use the mass and shape parameters of the particles to evaluate their recyclability. By calculating the recovery coefficient, determine whether the particles have recycling value. If the recovery coefficient reaches the preset threshold, they are marked as recyclable particles. Otherwise, they are classified as non-recyclable waste residues. Step 3: For recyclable particles, calculate the recycling value based on their quality and purity, and sort them according to their market value to ensure that particles with higher recycling value are processed first to maximize resource reuse; Step 4: For non-recyclable waste residues, the environmental hazard coefficient is calculated based on the chemical composition and density of the particles. If the hazard coefficient exceeds the preset threshold, the particles will be marked as hazardous waste residues and require special treatment; otherwise, they will be classified as general waste for conventional treatment; Step 5: According to the classification results, recyclable waste residues and non-recyclable waste residues are respectively directed to different treatment paths. Recyclable waste residues enter the resource utilization unit for reuse, and non-recyclable waste residues enter the safe treatment process according to their environmental hazard level to complete the automatic classification process. Through the above steps, the waste residue classification unit can effectively classify the waste residues automatically, ensure the maximum utilization of recycled resources and the safe treatment of waste, and improve the overall processing efficiency and environmental protection effect of the system.

[0038] The specific steps for automatic classification of waste residue are as follows: First, receive the particle size provided by the separation optimization module and particle density Data, calculate the mass of the particles , the formula is: ,in, is the volume of the particle, where According to particle size Calculated ,The purpose of this step is to provide the basic physical properties of the particles for subsequent classification; Then, based on the calculated particle mass and particle shape parameters (The shape parameter is provided by the dynamic monitoring module in real time) to determine whether the particles are recyclable waste residues. The formula is: ,in, is a constant related to the characteristics of the waste residue, and the recovery factor of the particles is calculated ,like (in is the preset recovery factor threshold), the particle is marked as recyclable; otherwise, the particle will enter the non-recyclable waste category; Next, the recyclable waste residue is further classified according to the recycling value, and the recycling value of each particle is calculated. , through the formula ,in, is the market price of recycled materials, The purity coefficient of the particles (provided by the dynamic monitoring module) is used to calculate the recycling value based on the purity and quality of the particles. This step ensures that the recycled particles are prioritized according to their market value to facilitate resource utilization; Finally, for non-recyclable waste residues, further analysis is performed based on their chemical composition data. and density , through the formula , calculate the environmental hazard factor of the particles ,like (in is the threshold value of the environmental hazard coefficient), the particles are classified as hazardous waste residues and require special treatment; if , the particles are treated as general waste.

[0039] The analysis and decision-making unit specifically includes: Receive real-time data from the dynamic monitoring module and other modules, including the particle distribution, flow rate, concentration, viscosity and system operating status parameters of the mud, and call the operating parameters in the system history database, including the mud treatment efficiency, equipment load, filtration efficiency and energy consumption data of similar working conditions in the past. The purpose of this step is to obtain a comprehensive data basis to ensure that the optimization strategy can be adjusted in combination with the current working conditions and past experience; Compare and analyze real-time data with historical operating parameters to identify the difference between the current system operating status and the historical best status. Through comparative analysis, if the particle concentration, flow rate and other data in the mud fluctuate differently from the historical data, the analysis and decision-making unit will mark these changes as potential system operation anomalies, indicating areas that need to be optimized. Based on the data comparison results, the optimization paths of different operation strategies are calculated, and multiple optimization strategies are proposed based on the parameters of the equipment's operating load, separation efficiency, and filter life, combined with the best operation strategies verified in historical working conditions. These solutions will formulate a set of selectable optimization strategies based on different goals such as minimizing energy consumption, maximizing efficiency, and extending equipment life; Evaluate the potential effects of all optimization strategies, predict the processing effects, energy consumption, and equipment wear after adopting different strategies under current conditions, and identify the best optimization path in advance through prediction to provide a basis for subsequent decision-making; through these steps, the analysis and decision-making unit can intelligently formulate and execute optimization strategies for system operation, ensure that the system makes decisions based on real-time operating conditions and historical best experience, and continuously optimize the efficiency and stability of the entire processing process.

[0040] The specific steps are as follows: First, real-time monitoring data, including particle concentration (Unit: particles per cubic meter), flow rate (Unit: meter per second), viscosity (Unit: Pascal seconds) and equipment load (Unit: percentage), and historical operating parameters such as processing efficiency (Unit: percentage), equipment wear (Unit: wear rate), filtration efficiency (Unit: Percentage), Historical Equipment Load (Unit: percentage) to compare and calculate the difference: ,in, It is real-time data. It is historical data. is the difference value, if the difference value Exceeding the preset threshold , marking as areas that need optimization; Then, based on the comparison results, the priorities of different optimization paths are calculated, taking into account energy consumption. , separation efficiency and equipment life , the priority score calculation formula of the optimization path is: ,in, To optimize the path priority score, , , are the weights of energy consumption, efficiency and equipment life respectively, The lowest energy consumption in history. The best separation efficiency in history. is the maximum life of the device; Then, based on the prediction model, the expected impact of different optimization strategies on the system is calculated, focusing on predicting the changes in separation efficiency and equipment life. The effect prediction formula of the optimization strategy is: ,in, For the predicted processing efficiency, is the real-time particle concentration, is the maximum particle concentration that the system can handle, is the current equipment life; Preferably, based on the above analysis, the optimal operation strategy is selected and the adjusted operation parameters are calculated. For example, for the centrifugal separation unit, the adjusted speed is Determined by the following formula: ,in, is the basic speed of the centrifugal equipment, The adjusted rotation speed is optimized according to the difference between real-time and historical data to ensure maximum separation efficiency.

[0041] like Figure 2 As shown, a multi-stage circulation treatment method for drilling mud is implemented by the above-mentioned multi-stage circulation treatment system for drilling mud, comprising the following steps: S1: Preliminary classification of particles in drilling mud. By detecting the size and density of particles, the classification speed is adjusted in real time, and different particles are dynamically classified according to their characteristics to ensure effective initial separation of particles. S2: Real-time monitoring of the mud state after classification, obtaining data on particle velocity, concentration, and viscosity, analyzing and identifying mud state information, and providing a decision-making basis for subsequent purification and separation treatment; S3: Perform multi-stage filtration on the classified mud, and dynamically adjust the pore size and filtration order during the filtration process according to the changes in particle concentration and size to ensure maximum filtration efficiency; S4: According to the flow rate and concentration of particles, the separation speed in the mud is adjusted, and particles of different sizes are efficiently separated by adjusting the speed. At the same time, the filter aperture is dynamically adjusted according to the feedback data to optimize the separation effect and ensure that particles of different sizes can be effectively separated; S5: Automatically classify the separated waste residues, calculate the mass and shape parameters of the particles, determine whether they are recyclable, recycle the recyclable waste residues, and safely dispose of the non-recyclable waste residues to ensure the efficiency and accuracy of classification and processing; S6: Based on real-time monitoring data and historical operating parameters, formulate system optimization strategies and automatically adjust the operating parameters of each step, including classification speed, filtration pore size and separation speed, to ensure that the best operating state is always maintained under different operating conditions.

[0042] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0043] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. Multi-stage circulation treatment system for drilling slurry, characterized by: It includes automatic classification module, dynamic monitoring module, mud purification module, separation optimization module, waste residue classification and recovery module and intelligent control module; among which: Automatic classification module: including particle recognition unit and variable frequency classification unit; The particle identification unit detects the size, shape and density of particles in drilling cuttings and mud in real time through a multi-spectral sensor; The variable frequency classification unit is used to adjust the classification speed according to the detection data provided by the particle recognition unit to dynamically classify the particles; Dynamic monitoring module: including online sensors and data analysis units; The online sensor is installed between the automatic classification module and the separation optimization module to monitor the particle flow rate, concentration and composition changes after classification in real time; The data analysis unit analyzes the particle distribution and mud state based on the monitoring data of the online sensor to identify the mud state data; Mud purification module: including multi-stage filtration unit and trace chemical treatment unit; The multi-stage filtration unit is used to filter particles in sequence through filter screens with different pore sizes; The trace chemical processing unit is used to automatically adjust the amount of chemical reagents according to the mud status data of the dynamic monitoring module; Separation optimization module: including centrifugal separation unit and automatic screen adjustment unit; The centrifugal separation unit is used to automatically adjust the centrifugal speed based on the particle flow rate and concentration data provided by the dynamic monitoring module to separate particles of different particle sizes in the mud; The automatic screen adjustment unit is used to adjust the pore size of the filter according to the feedback data of the dynamic monitoring module to ensure the maximum separation efficiency; Waste residue classification and recycling module: including waste residue classification unit and resource utilization unit; The waste residue classification unit automatically classifies the waste residue based on the separation particle data provided by the separation optimization module; Resource utilization unit, used to physically or chemically treat the classified waste residues; Intelligent control module: including data acquisition unit, analysis and decision-making unit and execution control unit; The data acquisition unit is used to collect the operation data of the automatic classification module, the dynamic monitoring module, the mud purification module, the separation optimization module and the waste residue classification and recovery module in real time; The analysis and decision-making unit formulates optimization strategies for system operation based on the collected data, combined with historical operating parameters and real-time monitoring data; The execution control unit is used to automatically adjust the operating parameters of each module according to the optimization strategy output by the analysis and decision-making unit.

2. The multi-stage circulation treatment system for drilling slurry according to claim 1 is characterized in that: The variable frequency classification unit comprises: Speed ​​control subunit: Through the electric speed control device, the speed of the grading equipment is adjusted in real time according to the preset grading standards of particle size and density to ensure that the grading process adapts to the dynamic changes of different particles; Frequency adjustment subunit: adjusts the vibration frequency of the grading device through the control circuit to achieve switching between high frequency and low frequency to adapt to different particle sizes and densities; Particle guide subunit: used to adjust the movement path of particles according to the changes in rotation speed and vibration frequency during the classification process, ensuring that each type of particle enters the corresponding classification area according to the set trajectory.

3. The multi-stage circulation treatment system for drilling sludge according to claim 1 is characterized in that: The data analysis unit comprises: Particle distribution calculation subunit: By receiving the particle size and concentration data provided by the online sensor, using the formula ,in, Particle size The proportion of particles in the total particles, The particle size is The number of particles, is the total number of particles, and the particle size distribution curve is calculated; Mud viscosity monitoring subunit: Based on the mud flow rate and pressure data measured by the online sensor, the formula ,in, Indicates the viscosity of the mud, represents the shear stress, Indicates the shear rate and calculates the real-time viscosity value of the mud; Mud component identification subunit: Based on the spectral analysis data provided by the sensor, the proportion of each component in the mud is identified by comparing it with the mud component database.

4. The multi-stage circulation treatment system for drilling slurry according to claim 1 is characterized in that: The multi-stage filtration unit comprises: Coarse filter unit: used for primary particle filtration, including multiple layers of filter screens with large pore sizes ranging from 0.5 mm to 2 mm; Fine filter unit: used to filter smaller particles, the filter mesh pore size range is 0.01 mm to 0.5 mm; Automatic adjustment subunit: used to automatically adjust the aperture selection and filtering sequence of the filter screens in the coarse filter subunit and the fine filter subunit according to the particle concentration and size data provided by the dynamic monitoring module.

5. The multi-stage circulation treatment system for drilling slurry according to claim 1 is characterized in that: The trace chemical processing unit comprises: Chemical reagent delivery subunit: automatically controls the delivery amount of chemical reagents by receiving real-time data of pollutant concentration and mud flow in the mud provided by the dynamic monitoring module; Concentration adjustment subunit: automatically adjusts the concentration of chemical reagents based on mud status data, including pH value or pollutant content in the mud; Feedback control subunit: According to the feedback data of the treatment effect after the chemical reagent is added, the subsequent addition amount is adjusted, and by monitoring the residual pollutants and mud properties after mud treatment, the subsequent chemical reagent addition strategy is optimized to prevent over- or under-dosage.

6. The multi-stage circulation treatment system for drilling slurry according to claim 1 is characterized in that: The centrifugal separation unit comprises: Speed ​​control subunit: used to adjust the speed of the centrifugal separation unit according to the particle flow rate and particle concentration data provided by the dynamic monitoring module to ensure that the speed dynamically matches the flow rate and concentration of particles in the mud; Flow rate regulating subunit: used to control the flow rate of mud entering the centrifugal separation unit according to the particle flow rate data, so that the flow rate can adapt to the speed adjustment of centrifugal separation; Particle size detection feedback subunit: Based on the particle size data provided by the dynamic monitoring module, the effect of centrifugal separation is judged through real-time detection of the particle size after separation. If it is detected that the separation effect is not good, the speed setting of the speed control subunit is readjusted.

7. The multi-stage circulation treatment system for drilling slurry according to claim 1 is characterized in that: The automatic screen adjustment unit comprises: Aperture selection subunit: by receiving the particle size and flow rate data provided by the dynamic monitoring module, the aperture size of the screen is adjusted to achieve effective separation of particles of different sizes; Filtration accuracy adjustment subunit: It is used to dynamically adjust the aperture of the screen according to the particle concentration and particle distribution data in the mud provided by the dynamic monitoring module to ensure that the filtration accuracy is improved when the particle concentration is high.

8. The multi-stage circulation treatment system for drilling slurry according to claim 1 is characterized in that: The waste residue classification unit specifically includes: Step 1: Receive the particle size and particle density data from the separation optimization module, calculate the mass of the particles, and determine the physical properties of the particles based on the volume and density characteristics of the particles to provide a basis for subsequent classification; Step 2: Use the mass and shape parameters of the particles to evaluate their recyclability. By calculating the recovery coefficient, determine whether the particles have recycling value. If the recovery coefficient reaches the preset threshold, they are marked as recyclable particles. Otherwise, they are classified as non-recyclable waste residues. Step 3: For recyclable particles, calculate the recycling value based on their quality and purity, and sort the particles according to their market value to ensure that particles with higher recycling value are processed first; Step 4: For non-recyclable waste residues, the environmental hazard coefficient is calculated based on the chemical composition and density of the particles. If the hazard coefficient exceeds the preset threshold, the particles will be marked as hazardous waste residues and require special treatment; otherwise, they will be classified as general waste for conventional treatment; Step 5: Based on the classification results, recyclable waste residues and non-recyclable waste residues are directed to different treatment paths.

9. The multi-stage circulation treatment system for drilling slurry according to claim 1, characterized in that: The analysis and decision-making unit specifically includes: Receive real-time data from the dynamic monitoring module and other modules, including the particle distribution, flow rate, concentration, viscosity and system operating status parameters of the mud, and call the operating parameters in the system history database, including the mud treatment efficiency, equipment load, filtration efficiency and energy consumption data of similar working conditions in the past; Compare and analyze real-time data with historical operating parameters to identify the difference between the current system operating status and the historical best status; Based on the data comparison results, the optimization paths of different operation strategies are calculated, and multiple optimization strategies are proposed based on the parameters of the equipment's operating load, separation efficiency, and filter life, combined with the best operation strategies verified in historical working conditions; Evaluate the potential effects of all optimization strategies, predict the processing effects, energy consumption, and equipment wear of different strategies under current conditions, and identify the best optimization path in advance through prediction to provide a basis for subsequent decision-making.

10. A multi-stage circulation treatment method for drilling mud, implemented by the multi-stage circulation treatment system for drilling mud according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1: Preliminary classification of particles in drilling mud, by detecting the size and density of particles, adjusting the classification speed in real time, and dynamically classifying them according to the characteristics of different particles; S2: Real-time monitoring of the mud state after classification, obtaining data on particle velocity, concentration, and viscosity, and analyzing and identifying mud state information; S3: Perform multi-stage filtration on the classified mud, and dynamically adjust the pore size and filtration order during the filtration process according to the changes in particle concentration and size; S4: According to the flow rate and concentration of particles, the separation speed in the mud is adjusted, and particles of different sizes are efficiently separated by adjusting the speed. At the same time, the filter aperture is dynamically adjusted according to the feedback data to optimize the separation effect; S5: Automatically classify the separated waste residues, calculate the mass and shape parameters of the particles, and determine whether they are recyclable; S6: Based on real-time monitoring data and historical operating parameters, formulate system optimization strategies and automatically adjust the operating parameters of each step, including classification speed, filtration pore size and separation speed, to ensure that the best operating state is always maintained under different operating conditions.

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