An automatic cleaning system and method based on drilling fluid characteristic contaminant detection

Abstract

The present invention relates to the field of drilling fluid cleaning technology, and discloses an automatic cleaning system and method based on drilling fluid characteristic contaminant detection. The system includes: a data acquisition module for detecting drilling fluid and collecting drilling fluid characteristic data, the data including pH value, conductivity value, turbidity value, and heavy metal type and heavy metal content; a data processing module for analyzing the drilling fluid characteristic data, determining the type and concentration of drilling fluid contaminants, and setting a cleaning plan based on the concentration and type of drilling fluid contaminants; a control module for cleaning the well according to the cleaning plan; a cleaning module set with several cleaning modes, for selecting a cleaning mode for cleaning the well according to the control of the control module; and a monitoring module for monitoring the cleaning effect of the well and adjusting the cleaning mode based on the monitoring results. The present invention can effectively remove contaminants in the well through real-time monitoring and automatic cleaning, reducing cleaning time and cost.

Description

Technical Field

[0001] The present invention relates to the technical field of drilling cleaning, and in particular to an automatic cleaning system and method based on drilling fluid characteristic pollutant detection. Background Art

[0002] The use of drilling fluid is essential during oil drilling. Drilling fluid not only cools the drill bit, carries cuttings, and stabilizes the wellbore, but also helps geologists better understand the subsurface. However, during use, drilling fluid can become contaminated by various pollutants, including but not limited to heavy metals, organic matter, and suspended solids. The presence of these contaminants can affect the wellbore and its equipment, necessitating timely cleaning of the wellbore to reduce contamination and ensure proper operation.

[0003] Traditional drilling fluid treatment methods rely on manual inspection and cleaning, which is not only inefficient but also easily affected by human factors, resulting in unstable cleaning results. Therefore, it is particularly important to develop an automatic cleaning system and method based on the detection of characteristic contaminants in drilling fluid. Summary of the Invention

[0004] The purpose of the present invention is to provide an automatic cleaning system and method based on the detection of characteristic contaminants in drilling fluid, so as to solve the problem that traditional drilling treatment methods rely on manual detection and cleaning, which is not only inefficient but also easily affected by human factors, resulting in unstable cleaning effects.

[0005] The present invention provides an automatic cleaning system based on drilling fluid characteristic contaminant detection, comprising:

[0006] A data acquisition module is used to detect the drilling fluid and collect drilling fluid characteristic data, wherein the drilling fluid characteristic data includes pH value, conductivity value, turbidity value, heavy metal type and heavy metal content value;

[0007] a data processing module connected to the data acquisition module, the data processing module being configured to receive the drilling fluid characteristic data acquired by the data acquisition module, analyze the drilling fluid characteristic data, determine the type and concentration of drilling fluid contaminants, and set a cleaning plan based on the concentration and type of drilling fluid contaminants;

[0008] a control module connected to the data processing module, the control module being used to control the cleaning module to clean the well according to the cleaning scheme;

[0009] A cleaning module connected to the control module, wherein a plurality of cleaning modes are set in the cleaning module, and the cleaning module is used to clean the wellbore by selecting a corresponding cleaning mode according to the control of the control module;

[0010] The monitoring module is connected to the cleaning module and is used to monitor the cleaning effect of the drilling and adjust the cleaning mode according to the monitoring result.

[0011] Preferably, the data acquisition module includes:

[0012] PH sensor, used to detect the pH value of drilling fluid;

[0013] Conductivity sensor, used to detect the conductivity value of drilling fluid;

[0014] Turbidity sensor, used to detect the turbidity value of drilling fluid;

[0015] Heavy metal detector, used to detect the types and content of heavy metals.

[0016] Preferably, when the data processing module is used to analyze the drilling fluid characteristic data to determine the type and concentration of drilling fluid contaminants, it includes:

[0017] determining the acidity and alkalinity concentration of the drilling fluid contaminants based on the pH value;

[0018] determining the concentration of ions in the drilling fluid contaminants based on the conductivity value;

[0019] determining the concentration of visible contaminants in the drilling fluid contaminants based on the turbidity value;

[0020] The types and concentrations of heavy metals in the drilling fluid pollutants are determined based on the types and content of heavy metals.

[0021] Preferably, when the data processing module is used to set a cleaning plan according to the concentration and type of drilling fluid contaminants, it includes:

[0022] A cleaning scheme comparison table is pre-set, and the cleaning scheme comparison table includes several cleaning schemes, and the cleaning schemes record the concentrations and types of corresponding drilling fluid pollutants;

[0023] The concentration and type of the drilling fluid contaminants are compared with the concentration and type of the drilling fluid contaminants recorded in the cleaning solution comparison table to determine a cleaning solution corresponding to the concentration and type of the drilling fluid contaminants.

[0024] Preferably, the cleaning solution includes a cleaning agent formulation and a cleaning agent concentration.

[0025] Preferably, when the cleaning module is used to select a corresponding cleaning mode to clean the well according to the control of the control module, it includes:

[0026] Obtaining a drilling location to be cleaned, and determining a cleaning duration based on the drilling location;

[0027] The cleaning mode includes a cleaning plan and a cleaning duration.

[0028] Preferably, the monitoring module, when used to monitor the cleaning effect of the drilling in real time and adjust the cleaning mode according to the monitoring results, includes:

[0029] The monitoring module obtains a cleaning image of the well and determines the thickness of the contaminants in the well based on the cleaning image;

[0030] A cleaning effect level is determined according to the thickness of the contaminants, and the cleaning mode is adjusted according to the cleaning effect level.

[0031] Preferably, when the monitoring module is used to determine the cleaning effect level according to the thickness of the contaminants, it includes:

[0032] Presetting a first contaminant thickness, a second contaminant thickness, and a third contaminant thickness, wherein the first contaminant thickness, the second contaminant thickness, and the third contaminant thickness increase in sequence;

[0033] setting a cleaning effect level according to a relationship between the contaminant thickness and the first contaminant thickness, the second contaminant thickness, and the third contaminant thickness;

[0034] If the contaminant thickness is less than the first contaminant thickness, the cleaning effect level is set to the first preset cleaning effect level L1;

[0035] If the contaminant thickness is greater than or equal to the first contaminant thickness and less than the second contaminant thickness, the cleaning effect level is set to a second preset cleaning effect level L2;

[0036] If the contaminant thickness is greater than or equal to the second contaminant thickness and less than the third contaminant thickness, the cleaning effect level is set to the third preset cleaning effect level L3;

[0037] If the contaminant thickness is greater than or equal to the third contaminant thickness, the cleaning effect level is set to a fourth preset cleaning effect level L4; wherein L1>L2>L3>L4.

[0038] Preferably, when the monitoring module is used to adjust the cleaning mode according to the cleaning effect level, it includes:

[0039] If the cleaning effect level is the first preset cleaning effect level, the cleaning mode is not adjusted;

[0040] If the cleaning effect level is the second preset cleaning effect level, the cleaning time in the cleaning mode is increased by the first preset time T1;

[0041] If the cleaning effect level is the third preset cleaning effect level, the cleaning time in the cleaning mode is increased by the second preset time T2;

[0042] If the cleaning effect level is the fourth preset cleaning effect level, the cleaning time in the cleaning mode is increased by a third preset time T3; wherein T1<T2<T3.

[0043] The present invention also discloses an automatic cleaning method based on drilling fluid characteristic contaminant detection, which is applied to the above-mentioned automatic cleaning system based on drilling fluid characteristic contaminant detection. The method comprises:

[0044] Testing the drilling fluid and collecting drilling fluid characteristic data, wherein the drilling fluid characteristic data includes pH value, conductivity value, turbidity value, and heavy metal type and heavy metal content value;

[0045] Analyzing the drilling fluid characteristic data to determine the type and concentration of drilling fluid contaminants, and setting a cleaning plan based on the concentration and type of drilling fluid contaminants;

[0046] Several cleaning modes are set, and the corresponding cleaning mode is selected according to the cleaning scheme to clean the drilling well;

[0047] Monitor the drilling cleaning effect in real time, adjust the cleaning mode according to the monitoring results, and optimize the automatic cleaning process.

[0048] Compared with existing technologies, the present invention automates the entire process from sampling and testing to cleaning, reducing manual intervention and improving processing efficiency. Furthermore, the use of advanced sensor technology accurately detects characteristic contaminants in drilling fluid, ensuring effective cleaning. Furthermore, by precisely controlling the cleaning process, it reduces waste of cleaning agents and water resources, minimizing environmental impact. The present invention also enables real-time monitoring of drilling fluid cleaning conditions, enabling timely adjustments to ensure effective drilling cleaning. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without any creative work.

[0050] Figure 1 This is a functional block diagram of an automatic cleaning system based on drilling fluid characteristic contaminant detection according to the present invention;

[0051] Figure 2It is a flow chart of an automatic cleaning method based on drilling fluid characteristic pollutant detection according to the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0053] In the description of this application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application.

[0054] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature specified as "first" or "second" may explicitly or implicitly include one or more of such features. Throughout this application, unless otherwise specified, "plurality" means two or more.

[0055] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.

[0056] like Figure 1 As shown, the present invention provides an automatic cleaning system based on drilling fluid characteristic contaminant detection, comprising:

[0057] The data acquisition module is used to detect the drilling fluid and collect drilling fluid characteristic data, wherein the drilling fluid characteristic data includes pH value, conductivity value, turbidity value, heavy metal type and heavy metal content value.

[0058] A data processing module is connected to the data acquisition module, and is used to receive the drilling fluid characteristic data collected by the data acquisition module, analyze the drilling fluid characteristic data, determine the type and concentration of drilling fluid contaminants, and set a cleaning plan according to the concentration and type of drilling fluid contaminants.

[0059] A control module is connected to the data processing module, and is used to control the cleaning module to clean the well according to the cleaning scheme.

[0060] The cleaning module is connected to the control module. Several cleaning modes are set in the cleaning module. The cleaning module is used to clean the wellbore by selecting a corresponding cleaning mode according to the control of the control module.

[0061] The monitoring module is connected to the cleaning module and is used to monitor the cleaning effect of the drilling and adjust the cleaning mode according to the monitoring result.

[0062] In some embodiments of the present application, the data acquisition module includes: a pH sensor for detecting the pH value of the drilling fluid; a conductivity sensor for detecting the conductivity value of the drilling fluid; a turbidity sensor for detecting the turbidity value of the drilling fluid; and a heavy metal detector for detecting the type and content of heavy metals.

[0063] In this embodiment, the data acquisition module is an integrated system that specifically includes the following sensors and detectors for comprehensive and accurate monitoring of various key parameters of the drilling fluid. pH sensor: This sensor is a crucial component of the data acquisition module. Its primary function is to accurately and in real time detect the pH value of the drilling fluid. pH is a key indicator of the acidity and alkalinity of the drilling fluid and is crucial for maintaining the stability of drilling operations, preventing corrosion, and optimizing drilling fluid performance. The pH sensor uses electrochemical principles to convert the hydrogen ion concentration in the drilling fluid into an electrical signal output, thereby enabling continuous monitoring of the pH value. Conductivity sensor: Another key component, the conductivity sensor is used to detect the conductivity of the drilling fluid. Conductivity reflects the ion concentration in the drilling fluid and is an important indicator for assessing its electrical conductivity, dissolved matter content, and water quality. This sensor measures the current conduction capacity of the drilling fluid under the influence of an electric field and calculates the conductivity value, providing an important reference for drilling fluid processing and preparation. Turbidity Sensor: The turbidity sensor measures the turbidity of drilling fluid, specifically the content and size of suspended particulate matter in the fluid. Turbidity is a key indicator of drilling fluid clarity and plays a crucial role in assessing drilling fluid purification effectiveness, preventing clogging, and assessing formation lithology. The sensor uses optical principles to measure the degree of light scattering or absorption by the drilling fluid to calculate the turbidity value. Heavy Metal Detector: To ensure the safety and environmental protection of drilling operations, the data acquisition module is also equipped with a heavy metal detector. This detector can detect the type and content of heavy metals in the drilling fluid, including but not limited to toxic and hazardous heavy metals such as lead, cadmium, and mercury. The heavy metal detector utilizes advanced analytical techniques such as electrochemical analysis and spectroscopy to quickly and accurately detect heavy metals in the drilling fluid, providing a scientific basis for environmentally friendly treatment and discharge of drilling fluid. In summary, the data acquisition module, by integrating multiple sensors and detectors, enables comprehensive monitoring of key parameters such as drilling fluid pH, conductivity, turbidity, and heavy metal content, effectively ensuring safe and efficient drilling operations.

[0064] In some embodiments of the present application, when the data processing module is used to analyze the drilling fluid characteristic data to determine the type and concentration of drilling fluid contaminants, it includes: determining the acidity and alkalinity and acid-base concentration of the drilling fluid contaminants based on the pH value; determining the ion concentration in the drilling fluid contaminants based on the conductivity value; determining the concentration of visible pollutants in the drilling fluid contaminants based on the turbidity value; and determining the type and concentration of heavy metals in the drilling fluid contaminants based on the heavy metal types and heavy metal content values.

[0065] In this embodiment, the data processing module, when used to perform a detailed and comprehensive analysis of drilling fluid characteristic data to accurately determine the type and concentration of drilling fluid contaminants, specifically includes the following steps: Determining pH and concentration: First, the system analyzes the pH value of the drilling fluid sample. pH is an important indicator of the acidity and alkalinity of a solution. By comparing it to a standard pH range, the acidity and alkalinity of drilling fluid contaminants can be directly determined. Furthermore, based on the specific pH value, the acidity and alkalinity concentration of the contaminants in the drilling fluid can be estimated, which is crucial for selecting subsequent treatment measures. Determining ion concentration: The data processing module determines the ion concentration based on the drilling fluid's electrical conductivity. Conductivity is a measure of a solution's ability to conduct electricity and is closely related to the type, quantity, and mobility of the ions in the solution. By measuring the electrical conductivity, the approximate concentration of ions in the drilling fluid contaminants can be indirectly inferred, providing data support for possible subsequent ion removal or adjustment. Determining visible contaminant concentration: The turbidity value of the drilling fluid reflects its transparency and the amount of suspended particles. During data processing, the module assesses the concentration of visible contaminants in the drilling fluid based on the turbidity meter's measurements. High turbidity often indicates a high concentration of suspended matter or colloidal particles in the drilling fluid, which can adversely affect drilling operations and subsequent treatment. Determination of Heavy Metal Type and Concentration: The module also specifically determines the type and concentration of heavy metals in the drilling fluid based on the types and corresponding concentrations of heavy metals detected in the drilling fluid. Heavy metal pollution, due to its resistance to degradation and strong accumulation, poses a potential threat to the environment and human health. Therefore, accurately identifying and quantifying heavy metal contaminants in drilling fluid is crucial for developing effective pollution control plans. In summary, the data processing module, through comprehensive analysis of multiple parameters such as drilling fluid pH, conductivity, turbidity, and heavy metal types and concentrations, can comprehensively and accurately determine the types and concentrations of drilling fluid contaminants, providing a scientific basis for subsequent pollution control efforts.

[0066] In some embodiments of the present application, when the data processing module is used to set a cleaning scheme based on the concentration and type of drilling fluid contaminants, it includes: pre-setting a cleaning scheme comparison table, the cleaning scheme comparison table includes several cleaning schemes, and the cleaning schemes record the corresponding concentrations and types of drilling fluid contaminants; comparing the concentrations and types of drilling fluid contaminants with the concentrations and types of drilling fluid contaminants recorded in the cleaning scheme comparison table to determine the cleaning scheme corresponding to the concentrations and types of drilling fluid contaminants.

[0067] In this embodiment, when the data processing module performs its core function of setting cleaning plans based on the concentration and type of drilling fluid contaminants, it first pre-builds a comprehensive and detailed cleaning plan comparison table. This table serves as the foundation for the module's intelligent decision-making. This comparison table meticulously lists multiple different cleaning plans, each precisely labeled with the concentration range and specific type of drilling fluid contaminants it applies to, ensuring a precise match between the cleaning plan and the contaminant characteristics. In actual operation, when contaminant data generated by drilling operations is input into the data processing module, the module immediately initiates a comparison process. The core of this process is the precise comparison of the real-time drilling fluid contaminant concentration and type information with the pre-defined data in the cleaning plan comparison table. This comparison process not only considers whether the contaminant concentration falls within the applicable range of a cleaning plan, but also rigorously verifies that the contaminant type matches the type specified in the plan. Through this rigorous comparison mechanism, the data processing module can quickly and accurately select the plan that best matches the current drilling fluid contaminant characteristics from among numerous alternative options. Once the optimal cleaning solution is determined, the module immediately outputs it, providing clear and specific guidance for subsequent cleaning operations. This process not only demonstrates the efficiency and intelligence of the data processing module, but also ensures the targeted and effective cleaning of contaminants during drilling operations, which is of great significance for maintaining the drilling environment and ensuring operational safety.

[0068] In some embodiments of the present application, the cleaning solution includes a cleaning agent formulation and a cleaning agent concentration.

[0069] In this embodiment, the cleaning solution covers the specific composition of the cleaning agent formula and the precise setting of the cleaning agent concentration. The cleaning agent formula is carefully developed to provide efficient cleaning effects for different types of stains and materials. It may contain multiple chemical components, each of which plays a specific role, such as dissolving, emulsifying, dispersing or neutralizing stains, thereby ensuring that the cleaning process can comprehensively and thoroughly remove dirt. In addition, the concentration of the cleaning agent is also an important part of the solution. The choice of concentration directly affects the cleaning effect, cost and environmental friendliness. Too high or too low a concentration may result in poor cleaning effect and may even cause damage to the object being cleaned. Therefore, when formulating a cleaning solution, it is necessary to scientifically and rationally determine the cleaning agent concentration based on factors such as the material of the object being cleaned, the type of stain, and the cleaning environment. In summary, the cleaning solution provides an efficient and environmentally friendly solution for various cleaning needs through sophisticated cleaning agent formula design and precise control of cleaning agent concentration.

[0070] In some embodiments of the present application, when the cleaning module is used to clean the drilling well by selecting the corresponding cleaning mode according to the control of the control module, it includes: obtaining the drilling well position to be cleaned, and determining the cleaning time according to the drilling well position; wherein, the cleaning mode includes a cleaning plan and a cleaning time.

[0071] In this embodiment, the cleaning module, when used to clean a wellbore under the control of the control module, selects a corresponding cleaning mode. The specific workflow is as follows: First, the module obtains the precise location information of the wellbore to be cleaned. This step is crucial, as the location of the wellbore directly affects the subsequent cleaning strategy and effectiveness. Using high-precision positioning technology, the cleaning module accurately determines the wellbore's specific location, providing reliable data support for subsequent operations. Next, the cleaning module determines the most appropriate cleaning duration based on the wellbore's location information and a pre-set cleaning schedule library. Setting the cleaning duration requires comprehensive consideration of multiple factors, such as the wellbore's depth, the borehole wall's material, and the type and severity of contaminants within the wellbore. Using an intelligent analysis algorithm, the cleaning module quickly determines the optimal cleaning duration to ensure effective and non-excessive cleaning of the wellbore. This process fully embodies the concept of a cleaning mode. A cleaning mode not only includes specific cleaning strategies, such as the type, concentration, and application of the cleaning agent, but also includes a cleaning duration setting. This comprehensive cleaning mode selection approach allows the cleaning module to flexibly adjust the cleaning strategy based on the actual wellbore conditions to achieve optimal cleaning results. In summary, when the cleaning module selects the corresponding cleaning mode to clean the drilling well according to the control of the control module, it achieves efficient and accurate cleaning of the drilling well by accurately obtaining the drilling position information, intelligently analyzing and determining the cleaning time.

[0072] In some embodiments of the present application, when the monitoring module is used to monitor the cleaning effect of the drilling in real time and adjust the cleaning mode according to the monitoring results, it includes: the monitoring module obtains a cleaning image of the drilling, determines the thickness of the contaminants in the drilling based on the cleaning image; determines the cleaning effect level based on the contaminant thickness, and adjusts the cleaning mode based on the cleaning effect level.

[0073] In this embodiment, the monitoring module monitors the wellbore cleaning effectiveness in real time and intelligently adjusts the cleaning mode based on the monitoring results. The specific steps include, but are not limited to, the following: Image acquisition and preprocessing: First, the monitoring module uses high-definition video equipment to capture real-time images of the wellbore cleaning process. These images then undergo preprocessing steps, such as noise removal and contrast enhancement, to ensure that image quality meets analysis requirements and more accurately reflects the cleaning status of the wellbore surface. Contaminant thickness identification: Based on the preprocessed cleaning images, the monitoring module applies advanced image recognition algorithms to accurately identify contaminants on the wellbore surface. This algorithm can distinguish different types of contaminants and measure their distribution and thickness on the wellbore surface. Through precise calculations, the current contaminant thickness data for the wellbore is obtained. Cleaning effectiveness level determination: Based on the identified contaminant thickness data, the monitoring module further compares and analyzes it with pre-set cleaning effectiveness level standards. These standards are typically developed based on industry experience, safety regulations, and cleaning efficiency requirements, and are used to assess the thoroughness and effectiveness of wellbore cleaning. Through this comparison, the monitoring module can automatically determine the current cleaning effectiveness level. Cleaning Mode Adjustment: After determining the cleaning performance level, the monitoring module intelligently adjusts the current cleaning mode based on a pre-set adjustment strategy. If the cleaning performance level does not meet the expected standard, the monitoring module may increase the cleaning intensity, adjust the cleaning fluid ratio, or change the cleaning method to improve cleaning efficiency and quality. Conversely, if the cleaning effect is good, the monitoring module may appropriately reduce the cleaning intensity to conserve resources and reduce environmental impact. Through these steps, the monitoring module can achieve real-time monitoring and intelligent adjustment of drilling cleaning performance, ensuring safe and efficient drilling operations.

[0074] In some embodiments of the present application, when the monitoring module is used to determine the cleaning effect level according to the contaminant thickness, it includes: pre-setting a first contaminant thickness, a second contaminant thickness and a third contaminant thickness, and the first contaminant thickness, the second contaminant thickness and the third contaminant thickness increase in sequence; setting the cleaning effect level according to the relationship between the contaminant thickness and the first contaminant thickness, the second contaminant thickness and the third contaminant thickness; if the contaminant thickness is less than the first contaminant thickness, setting the cleaning effect level to the first preset cleaning effect level L1; if the contaminant thickness is greater than or equal to the first contaminant thickness, and the contaminant thickness is less than the second contaminant thickness, setting the cleaning effect level to the second preset cleaning effect level L2; if the contaminant thickness is greater than or equal to the second contaminant thickness, and the contaminant thickness is less than the third contaminant thickness, setting the cleaning effect level to the third preset cleaning effect level L3; if the contaminant thickness is greater than or equal to the third contaminant thickness, setting the cleaning effect level to the fourth preset cleaning effect level L4; wherein, L1>L2>L3>L4.

[0075] In this embodiment, the monitoring module, when used to determine the cleaning effectiveness level based on contaminant thickness, implements the following steps: First, to accurately assess cleaning effectiveness, three different contaminant thickness thresholds are pre-set: the first, second, and third contaminant thicknesses. These thresholds represent different degrees of contamination and are arranged in ascending order, with the first contaminant thickness being the lowest and the third being the highest. Next, the monitoring module compares the real-time contaminant thickness with these three pre-set contaminant thickness thresholds to determine the current cleaning effectiveness level. This process is implemented using pre-set logical rules, ensuring accurate and consistent assessments. Specifically, if the measured contaminant thickness is less than the first contaminant thickness, it indicates that the current surface contamination level is extremely low and cleaning is almost unnecessary. Therefore, the cleaning effectiveness level is set to the first pre-set cleaning effectiveness level, L1, which is the highest cleaning effectiveness level and indicates excellent cleaning effectiveness. If the contaminant thickness is greater than or equal to the first contaminant thickness but less than the second contaminant thickness, it indicates that the surface has some degree of contamination, but is still within a controllable range. In this case, the cleaning effectiveness level is set to the second pre-set cleaning effectiveness level, L2, which, while slightly lower than L1, still indicates good cleaning effectiveness. If the thickness of the pollutants increases further and is greater than or equal to the second pollutant thickness but less than the third pollutant thickness, it means that the surface contamination is already serious and more active cleaning measures need to be taken. At this time, the cleaning effect level is set to the third preset cleaning effect level L3, indicating that the cleaning effect is average and attention needs to be paid. Finally, if the thickness of the pollutants is greater than or equal to the third pollutant thickness, it means that the surface contamination has reached a very serious level and may have a serious impact on the normal operation of the equipment. At this time, the cleaning effect level is set to the fourth preset cleaning effect level L4, which is the lowest cleaning effect level, indicating that immediate cleaning is required and corresponding measures should be taken to prevent further deterioration of the contamination. It should be noted that the four preset cleaning effect levels L1, L2, L3 and L4 are ranked according to the quality of the cleaning effect, that is, L1>L2>L3>L4. Such a design helps to intuitively reflect the quality of the cleaning effect and provides a favorable reference basis for subsequent cleaning work.

[0076] In some embodiments of the present application, when the monitoring module is used to adjust the cleaning mode according to the cleaning effect level, it includes: if the cleaning effect level is the first preset cleaning effect level, the cleaning mode is not adjusted; if the cleaning effect level is the second preset cleaning effect level, the cleaning time in the cleaning mode is increased by the first preset time T1; if the cleaning effect level is the third preset cleaning effect level, the cleaning time in the cleaning mode is increased by the second preset time T2; if the cleaning effect level is the third preset cleaning effect level, the cleaning time in the cleaning mode is increased by the third preset time T3; wherein, T1<T2<T3.

[0077] In this embodiment, the monitoring module, when used to fine-tune the cleaning mode based on the cleaning performance level, follows the following specific process: Initial cleaning performance level assessment: First, the current cleaning performance is evaluated based on a series of preset criteria and algorithms and categorized into different cleaning performance levels. These levels typically include, but are not limited to, a first preset cleaning performance level, a second preset cleaning performance level, and a third preset cleaning performance level. Regarding the first preset cleaning performance level: If the assessment result indicates that the current cleaning performance level is the first preset cleaning performance level, this generally means that the cleaning performance has met the expected standard or is very close to the ideal state. Therefore, in this case, no adjustments are made to the current cleaning mode to maintain its stability and efficiency. Regarding the second preset cleaning performance level: If the cleaning performance level is determined to be the second preset cleaning performance level, this indicates that while the cleaning performance is acceptable, there is room for further improvement. To optimize the cleaning performance, the cleaning duration of the current cleaning mode is increased by the first preset duration, T1. This adjustment aims to enhance cleaning intensity by extending the cleaning time, thereby improving the cleaning effect. Regarding the third preset cleaning performance level: If the cleaning performance level is determined to be the third preset cleaning performance level, more aggressive adjustments are implemented. Specifically, the system increases the cleaning time in cleaning mode by a second preset duration, T2, which is longer than T1, to ensure a significantly improved cleaning effect. For the fourth preset cleaning effect level: , the system increases the cleaning time in cleaning mode to a third preset duration, T3. T3 is longer than both T2 and T1 to address more challenging cleaning challenges and ultimately ensure a satisfactory cleaning effect.

[0078] like Figure 2 As shown, the present invention further discloses an automatic cleaning method based on drilling fluid characteristic contaminant detection, which is applied to the above-mentioned automatic cleaning system based on drilling fluid characteristic contaminant detection, and the method comprises:

[0079] The drilling fluid is tested to collect drilling fluid characteristic data, including pH value, conductivity value, turbidity value, and heavy metal types and heavy metal content values.

[0080] The drilling fluid characteristic data is analyzed to determine the type and concentration of the drilling fluid contaminants, and a cleaning plan is set according to the concentration and type of the drilling fluid contaminants.

[0081] Several cleaning modes are set, and the corresponding cleaning mode is selected according to the cleaning scheme to clean the drilling well.

[0082] Monitor the drilling cleaning effect in real time, adjust the cleaning mode according to the monitoring results, and optimize the automatic cleaning process.

[0083] In this embodiment, the present invention further details an automated cleaning method based on drilling fluid characteristic contaminant detection. This method is specifically designed to improve environmental protection and efficiency during drilling operations and is perfectly compatible with the aforementioned automated cleaning system based on drilling fluid characteristic contaminant detection. The detailed implementation steps of this method are as follows: Comprehensive Collection of Drilling Fluid Characteristic Data: First, the drilling fluid generated during the drilling process undergoes comprehensive and accurate testing. This testing process aims to collect a series of key drilling fluid characteristic data, including but not limited to pH, conductivity, and turbidity, as well as detailed records of the types and concentrations of heavy metals present in the drilling fluid. This data collection provides a solid foundation for subsequent analysis and the development of cleaning plans. Intelligent Analysis of Drilling Fluid Contaminants: Next, advanced algorithms are used to conduct in-depth analysis of the collected drilling fluid characteristic data. By comparing preset contamination standards with real-time data, the types of contaminants present in the drilling fluid can be accurately identified and their concentrations precisely calculated. Based on this analysis, the degree of contamination can be intelligently assessed, providing a scientific basis for the development of subsequent cleaning plans. Personalized Cleaning Plan Settings: Based on the concentration and type of drilling fluid contaminants, the system automatically determines the most appropriate cleaning plan for the current contamination situation. This plan not only considers contaminant removal efficiency but also takes into account energy consumption and resource utilization during the cleaning process, ensuring both economical and environmentally friendly cleaning operations. Flexible Cleaning Mode Selection: The system features multiple built-in cleaning modes to address different types of drilling fluid contaminants. Once a cleaning plan is determined, the system automatically selects the corresponding cleaning mode for targeted cleaning operations. This flexible selection mechanism makes the cleaning process more efficient and precise. Real-time Monitoring and Optimization of Cleaning Results: The system also features real-time monitoring during the cleaning process. By monitoring and evaluating cleaning results in real time, the system can promptly identify and adjust any shortcomings in the cleaning plan. This dynamic adjustment mechanism ensures continuous optimization and improvement of the cleaning process, thereby improving cleaning effectiveness and operational efficiency. It also reduces environmental risks and operating costs associated with incomplete cleaning.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solutions of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

[0085] The system provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiment can be combined into one module or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps and are not to be regarded as improper limitations of the present invention.

[0086] Those skilled in the art should be able to appreciate that the modules and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software, or a combination of the two, and the programs corresponding to the software modules and method steps can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the art. In order to clearly illustrate the interchangeability of electronic hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in electronic hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

Claims

1. An automatic cleaning system based on drilling fluid characteristic contaminant detection, characterized in that: include: A data acquisition module is used to detect the drilling fluid and collect drilling fluid characteristic data, wherein the drilling fluid characteristic data includes pH value, conductivity value, turbidity value, heavy metal type and heavy metal content value; a data processing module connected to the data acquisition module, the data processing module being configured to receive the drilling fluid characteristic data acquired by the data acquisition module, analyze the drilling fluid characteristic data, determine the type and concentration of drilling fluid contaminants, and set a cleaning plan based on the type and concentration of drilling fluid contaminants; a control module connected to the data processing module, the control module being used to control the cleaning module to clean the well according to the cleaning scheme; A cleaning module connected to the control module, wherein a plurality of cleaning modes are set in the cleaning module, and the cleaning module is used to clean the wellbore by selecting a corresponding cleaning mode according to the control of the control module; A monitoring module connected to the cleaning module, the monitoring module is used to monitor the cleaning effect of the drilling well and adjust the cleaning mode according to the monitoring results; When the data processing module is used to analyze the drilling fluid characteristic data to determine the type and concentration of drilling fluid contaminants, it includes: determining the acidity and alkalinity concentration of the drilling fluid contaminants based on the pH value; determining the concentration of ions in the drilling fluid contaminants based on the conductivity value; determining the concentration of visible contaminants in the drilling fluid contaminants based on the turbidity value; Determining the type and concentration of heavy metals in the drilling fluid pollutants based on the type and content of the heavy metals; The data processing module, when used to set a cleaning plan based on the type and concentration of drilling fluid contaminants, includes: A cleaning scheme comparison table is pre-set, and the cleaning scheme comparison table includes several cleaning schemes, and the cleaning schemes record the types and concentrations of corresponding drilling fluid pollutants; Comparing the types and concentrations of the drilling fluid contaminants with the types and concentrations of the drilling fluid contaminants recorded in the cleaning solution comparison table to determine a cleaning solution corresponding to the types and concentrations of the drilling fluid contaminants; The cleaning solution includes a cleaning agent formula and a cleaning agent concentration; When the cleaning module is used to select a corresponding cleaning mode to clean the well according to the control of the control module, it includes: Obtaining a drilling location to be cleaned, and determining a cleaning duration based on the drilling location; Wherein, the cleaning mode includes a cleaning scheme and a cleaning duration; The monitoring module is used to monitor the cleaning effect of the drilling well and adjust the cleaning mode according to the monitoring results, including: The monitoring module obtains a cleaning image of the well and determines the thickness of the contaminants in the well based on the cleaning image; A cleaning effect level is determined according to the thickness of the contaminants, and the cleaning mode is adjusted according to the cleaning effect level.

2. The automatic cleaning system based on drilling fluid characteristic contaminant detection according to claim 1 is characterized in that: The data acquisition module includes: PH sensor, used to detect the pH value of drilling fluid; Conductivity sensor, used to detect the conductivity value of drilling fluid; Turbidity sensor, used to detect the turbidity value of drilling fluid; Heavy metal detector, used to detect the types and content of heavy metals.

3. The automatic cleaning system based on drilling fluid characteristic contaminant detection according to claim 1 is characterized in that: When the monitoring module is used to determine the cleaning effect level according to the thickness of the contaminant, it includes: Presetting a first contaminant thickness, a second contaminant thickness, and a third contaminant thickness, wherein the first contaminant thickness, the second contaminant thickness, and the third contaminant thickness increase in sequence; setting a cleaning effect level according to a relationship between the contaminant thickness and the first contaminant thickness, the second contaminant thickness, and the third contaminant thickness; If the contaminant thickness is less than the first contaminant thickness, the cleaning effect level is set to the first preset cleaning effect level L1; If the contaminant thickness is greater than or equal to the first contaminant thickness and less than the second contaminant thickness, the cleaning effect level is set to a second preset cleaning effect level L2; If the contaminant thickness is greater than or equal to the second contaminant thickness and less than the third contaminant thickness, the cleaning effect level is set to the third preset cleaning effect level L3; If the contaminant thickness is greater than or equal to the third contaminant thickness, the cleaning effect level is set to a fourth preset cleaning effect level L4; wherein L1>L2>L3>L4.

4. The automatic cleaning system based on drilling fluid characteristic contaminant detection according to claim 3 is characterized in that: When the monitoring module is used to adjust the cleaning mode according to the cleaning effect level, it includes: If the cleaning effect level is the first preset cleaning effect level, the cleaning mode is not adjusted; If the cleaning effect level is the second preset cleaning effect level, the cleaning time in the cleaning mode is increased by the first preset time T1; If the cleaning effect level is the third preset cleaning effect level, the cleaning time in the cleaning mode is increased by the second preset time T2; If the cleaning effect level is the fourth preset cleaning effect level, the cleaning time in the cleaning mode is increased by a third preset time T3; wherein T1<T2<T3.

5. An automatic cleaning method based on drilling fluid characteristic contaminant detection, applied to the automatic cleaning system based on drilling fluid characteristic contaminant detection according to any one of claims 1 to 4, characterized in that: The method comprises: Testing the drilling fluid and collecting drilling fluid characteristic data, wherein the drilling fluid characteristic data includes pH value, conductivity value, turbidity value, heavy metal type and heavy metal content value; Analyzing the drilling fluid characteristic data to determine the type and concentration of drilling fluid contaminants, and setting a cleaning plan based on the type and concentration of drilling fluid contaminants; Several cleaning modes are set, and the corresponding cleaning mode is selected according to the cleaning scheme to clean the drilling well; Monitor the drilling cleaning effect in real time, adjust the cleaning mode according to the monitoring results, and optimize the automatic cleaning process.

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