Automatic cleaning system and method based on drilling fluid specific pollutant detection

Abstract

The invention relates to the technical field of well drilling cleaning, and discloses an automatic cleaning system and method based on drilling fluid characteristic pollutant detection, the system comprises: a data acquisition module used for detecting drilling fluid and acquiring drilling fluid characteristic data, the data comprising pH value, conductivity value, turbidity value, heavy metal type and heavy metal content value; the data processing module is used for analyzing the characteristic data of the drilling fluid, determining the type and the concentration of drilling fluid pollutants and setting a cleaning scheme according to the concentration and the type of the drilling fluid pollutants; the control module is used for cleaning the drilled well according to the cleaning scheme; the cleaning module is provided with a plurality of cleaning modes and is used for selecting the cleaning modes to clean the drilled well according to the control of the control module; and the monitoring module is used for monitoring the cleaning effect of the drilling well and adjusting the cleaning mode according to the monitoring result. Through real-time monitoring and automatic cleaning, pollutants in a drilled well can be effectively removed, and the cleaning time and cost are reduced.

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 in the oil drilling process. Drilling fluid not only cools the drill bit, carries cuttings, and stabilizes the well wall, but also helps geological engineers better understand the underground conditions. However, drilling fluid will be contaminated by various pollutants during use, including but not limited to heavy metals, organic matter, suspended solids, etc. The presence of these pollutants causes the drilling fluid to affect the drilling and its equipment, so it is necessary to clean the drilling in time to reduce the pollution of the drilling and ensure the normal operation of the drilling.

[0003] 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. Therefore, it is particularly important to develop an automatic cleaning system and method based on drilling fluid characteristic contaminant detection. Summary of the invention

[0004] The purpose of the present invention is to provide an automatic cleaning system and method based on drilling fluid characteristic contaminant detection, 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 pollutant 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 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 the drilling fluid contaminants, and set a cleaning plan according to the concentration and type of the drilling fluid contaminants;

[0008] A control module connected to the data processing module, the control module is 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 select a corresponding cleaning mode to clean the well according to the control of the control module;

[0010] A 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 ion concentration of the drilling fluid contaminant 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 according to the types of heavy metals and the heavy metal content values.

[0021] Preferably, the data processing module, when used to set a cleaning scheme according to the concentration and type of drilling fluid contaminants, 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 concentration and type 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 scheme comparison table to determine a cleaning scheme corresponding to the concentration and type of the drilling fluid contaminants.

[0024] Preferably, the cleaning solution includes a cleaning agent formula 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] Acquire the drilling position to be cleaned, and determine the cleaning time according to the drilling position;

[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 result, includes:

[0029] The monitoring module obtains a cleaning image of the well and determines the thickness of the pollutants in the well according to the cleaning image;

[0030] A cleaning effect level is determined according to the contaminant thickness, 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 contaminant, it includes:

[0032] Presetting a first pollutant thickness, a second pollutant thickness, and a third pollutant thickness, wherein the first pollutant thickness, the second pollutant thickness, and the third pollutant 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 the contaminant thickness is less than the second contaminant thickness, the cleaning effect level is set to the second preset cleaning effect level L2;

[0036] 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, 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 pollutant detection, which is applied to the above-mentioned automatic cleaning system based on drilling fluid characteristic pollutant 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 types and heavy metal content values;

[0045] Analyzing the drilling fluid characteristic data to determine the type and concentration of drilling fluid contaminants, and setting a cleaning plan according to 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 the prior art, the beneficial effect of the present invention is that the whole process from sampling, detection to cleaning is automated, which reduces manual intervention and improves processing efficiency; at the same time, the advanced sensor technology is adopted to accurately detect characteristic pollutants in the drilling fluid to ensure the cleaning effect. And by accurately controlling the cleaning process, the waste of cleaning agents and water resources is reduced, and the impact on the environment is reduced. The present invention can also monitor the cleaning situation of the drilling in real time, make adjustments in time, and ensure the cleaning effect of the drilling. 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 drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

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

[0051] Figure 2It is a schematic 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 the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0053] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present 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 should not be understood as a limitation on the present application.

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

[0055] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0056] like Figure 1 As shown, the present invention provides an automatic cleaning system based on drilling fluid characteristic pollutant 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] A cleaning module is connected to the control module. Several cleaning modes are set in the cleaning module. The cleaning module is used to select a corresponding cleaning mode to clean the well according to the control of the control module.

[0061] A 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, which specifically includes the following sensors and detectors for comprehensively and accurately monitoring various key parameters of the drilling fluid. PH sensor: This sensor is an important component of the data acquisition module, and its main function is to detect the pH value of the drilling fluid in real time and accurately. The pH value is an important indicator for measuring the acidity and alkalinity of the drilling fluid, which is of great significance for maintaining the stability of drilling operations, preventing corrosion problems, and optimizing the performance of the drilling fluid. The pH sensor converts the hydrogen ion concentration in the drilling fluid into an electrical signal output through the electrochemical principle, thereby realizing continuous monitoring of the pH value. Conductivity sensor: The conductivity sensor is another key component used to detect the conductivity value of the drilling fluid. Conductivity reflects the concentration of ions in the drilling fluid and is an important basis for evaluating the conductivity, dissolved substance content, and water quality of the drilling fluid. The sensor measures the current conduction capacity of the drilling fluid under the action of the electric field and calculates the conductivity value, providing an important reference for the treatment and preparation of the drilling fluid. Turbidity sensor: Turbidity sensor is used to detect the turbidity value of drilling fluid, that is, the content and size of suspended particles in drilling fluid. Turbidity is an important indicator to measure the clarity of drilling fluid, and plays an important role in judging the purification effect of drilling fluid, preventing blockage problems, and evaluating the lithology of formations. The sensor measures the scattering or absorption of light by the drilling fluid through optical principles, thereby calculating the turbidity value. Heavy metal detector: In order to ensure the safety and environmental protection of drilling operations, the data acquisition module is also equipped with a heavy metal detector. The detector can detect the types and content values ​​of heavy metals in drilling fluid, including but not limited to toxic and harmful heavy metals such as lead, cadmium, and mercury. The heavy metal detector uses advanced analytical techniques, such as electrochemical analysis and spectral analysis, to achieve rapid and accurate detection of heavy metals in drilling fluid, providing a scientific basis for the environmental protection treatment and discharge of drilling fluid. In summary, the data acquisition module integrates a variety of sensors and detectors to achieve comprehensive monitoring of key parameters such as pH value, conductivity value, turbidity value, and heavy metal content of drilling fluid, providing a strong guarantee for the safe and efficient drilling operation.

[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 according to the pH value; determining the ion concentration in the drilling fluid contaminants according to the conductivity value; determining the concentration of visible pollutants in the drilling fluid contaminants according to the turbidity value; determining the type and concentration of heavy metals in the drilling fluid contaminants according to the heavy metal types and heavy metal content values.

[0065] In this embodiment, the data processing module is used to perform a detailed and comprehensive analysis of the drilling fluid characteristic data to accurately determine the type and concentration of the drilling fluid contaminants, specifically including the following steps: Determination of acidity and acid-base concentration: First, the system will analyze according to the pH value of the drilling fluid sample. The pH value is an important indicator for measuring the acidity and alkalinity of the solution. By comparing the standard pH range, the acidity and alkalinity of the drilling fluid contaminants can be directly determined. Further, combined with the specific value of the pH value, the acid-base concentration of the contaminants in the drilling fluid can be estimated, which is crucial for the subsequent selection of treatment measures. Determination of ion concentration: The data processing module will determine the ion concentration according to the conductivity value of the drilling fluid. Conductivity is a measure of the conductivity of the solution and is closely related to the type, number and mobility of the ions in the solution. By measuring the conductivity value, the approximate concentration of ions in the drilling fluid contaminants can be indirectly inferred, providing data support for possible subsequent ion removal or adjustment. Determination of visible pollutant concentration: The turbidity value of the drilling fluid reflects its transparency and the number of suspended particles. During the data processing, the module will evaluate the concentration of visible pollutants in the drilling fluid based on the measurement results of the turbidity meter. High turbidity often means that there are more suspended or colloidal particles in the drilling fluid, and these pollutants may have an adverse effect on drilling operations and subsequent treatment. Determination of heavy metal types and concentrations: The types and concentrations of heavy metals in the drilling fluid pollutants will also be specifically determined based on the types of heavy metals detected in the drilling fluid and the corresponding content values. Heavy metal pollution poses a potential threat to the environment and human health due to its difficult degradation and strong accumulation. Therefore, accurately identifying and quantifying heavy metal pollutants in drilling fluid is of great significance for formulating effective pollution control plans. In summary, the data processing module can comprehensively and accurately determine the types and concentrations of drilling fluid pollutants by comprehensively analyzing multiple parameters such as the pH value, conductivity value, turbidity value, and heavy metal types and content values ​​of the drilling fluid, providing a scientific basis for subsequent pollution control work.

[0066] In some embodiments of the present application, when the data processing module is used to set a cleaning scheme according to 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 concentration and type of drilling fluid contaminants with the concentration and type of drilling fluid contaminants recorded in the cleaning scheme comparison table to determine the cleaning scheme corresponding to the concentration and type of drilling fluid contaminants.

[0067] In this embodiment, when the data processing module performs its core function of setting the cleaning scheme for the concentration and type of drilling fluid contaminants, first, the module pre-builds a comprehensive and detailed cleaning scheme comparison table, which is the basis for the module's intelligent decision-making. In this comparison table, a number of different cleaning schemes are carefully arranged, and each scheme accurately marks the concentration range and specific types of drilling fluid contaminants to which it is applicable, ensuring a high degree of matching between the cleaning scheme and the characteristics of the contaminants. In actual operation, when the contaminant data generated by the drilling operation is input into the data processing module, the module will immediately start the comparison process. The core of this process is to accurately compare the concentration value and type information of the drilling fluid contaminants obtained in real time with the pre-set data in the cleaning scheme comparison table one by one. This comparison process not only considers whether the concentration of the contaminant falls within the applicable range of a certain cleaning scheme, but also strictly checks whether the type of the contaminant is consistent with the type specified in the scheme. Through this rigorous comparison mechanism, the data processing module can quickly and accurately select the one that best meets the current drilling fluid contaminant characteristics from many alternatives. Once the best cleaning solution is determined, the module will immediately output it to provide clear and specific guidance for subsequent cleaning operations. This process not only reflects the efficiency and intelligence of the data processing module, but also ensures the pertinence and effectiveness of pollutant cleaning 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 scheme includes a cleaning agent formula and a cleaning agent concentration.

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

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

[0071] In this embodiment, when the cleaning module is used to select the corresponding cleaning mode to clean the drilling according to the control of the control module, its specific workflow is as follows: First, the module will obtain the precise location information of the drilling to be cleaned. This step is crucial because the different drilling locations will directly affect the subsequent cleaning strategy and effect. Through high-precision positioning technology, the cleaning module can accurately obtain the specific location of the drilling, providing reliable data support for subsequent operations. Next, the cleaning module will determine the most appropriate cleaning time based on the information of the drilling location and the preset cleaning solution library. The setting of the cleaning time needs to comprehensively consider a variety of factors, such as the depth of the drilling, the material of the drilling wall, the type and severity of pollutants in the drilling, etc. Through the intelligent analysis algorithm, the cleaning module can quickly evaluate the optimal cleaning time to ensure that the drilling can be effectively and not excessively cleaned. In this process, the concept of cleaning mode is fully reflected. The cleaning mode not only includes specific cleaning solutions, such as the type, concentration, and usage of the cleaning agent, but also includes the setting of the cleaning time. This comprehensive cleaning mode selection method enables the cleaning module to flexibly adjust the cleaning strategy according to the actual situation of the drilling to achieve the best cleaning effect. In summary, when the cleaning module selects the corresponding cleaning mode to clean the drilling according to the control of the control module, it realizes efficient and accurate cleaning of the drilling 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 according to the cleaning image; determines the cleaning effect level according to the contaminant thickness, and adjusts the cleaning mode according to the cleaning effect level.

[0073] In this embodiment, the monitoring module is used to monitor the cleaning effect of the drilling in real time and intelligently adjust the cleaning mode according to the monitoring results. The specific steps include but are not limited to the following aspects: Image acquisition and preprocessing: First, the monitoring module obtains the real-time cleaning image of the drilling through a high-definition camera. These images are then preprocessed, such as denoising, contrast enhancement, etc., to ensure that the image quality meets the analysis requirements, so as to more accurately reflect the cleaning status of the drilling surface. Contaminant thickness identification: Based on the preprocessed cleaning image, the monitoring module uses advanced image recognition algorithms to accurately identify the contaminants on the drilling surface. In this process, the algorithm can distinguish different types of contaminants and measure their distribution range and thickness on the drilling surface. Through precise calculation, the current contaminant thickness data of the drilling is obtained. Cleaning effect level determination: Based on the identified contaminant thickness data, the monitoring module further compares and analyzes it with the preset cleaning effect level standards. These standards are usually formulated based on industry experience, safety regulations and cleaning efficiency requirements, and are used to evaluate the thoroughness and effectiveness of drilling cleaning. Through comparison, the monitoring module can automatically determine the current cleaning effect level. Cleaning mode adjustment: After determining the cleaning effect level, the monitoring module will intelligently adjust the current cleaning mode according to the preset adjustment strategy. If the cleaning effect level does not meet the expected standard, the monitoring module may increase the cleaning intensity, adjust the cleaning liquid ratio, or change the cleaning method to improve the cleaning efficiency and quality. On the contrary, if the cleaning effect is good, the monitoring module may appropriately reduce the cleaning intensity to save resources and reduce the impact on the environment. Through the above steps, the monitoring module can realize real-time monitoring and intelligent adjustment of the drilling cleaning effect to ensure the safety and efficiency of 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: presetting a first contaminant thickness, a second contaminant thickness and a third contaminant thickness, the first contaminant thickness, the second contaminant thickness and the third contaminant thickness increasing 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 a 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 a 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 a 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 a fourth preset cleaning effect level L4; wherein, L1>L2>L3>L4.

[0075] In this embodiment, when the monitoring module is used to determine the cleaning effect level according to the thickness of the pollutant, its specific implementation process includes the following steps: First, in order to accurately evaluate the cleaning effect, three different pollutant thickness thresholds are pre-set, namely the first pollutant thickness, the second pollutant thickness and the third pollutant thickness. These three thresholds represent different degrees of contamination and are arranged in order from small to large, that is, the first pollutant thickness is the lowest and the third pollutant thickness is the highest. Next, the monitoring module compares the real-time measured pollutant thickness with the three preset pollutant thickness thresholds to determine the current cleaning effect level. This process is implemented through preset logical rules to ensure the accuracy and consistency of the evaluation. Specifically, if the measured pollutant thickness is less than the first pollutant thickness, it means that the current surface contamination level is extremely low and almost no cleaning is required. Therefore, the cleaning effect level is set to the first preset cleaning effect level L1, which is the highest cleaning effect level, indicating that the cleaning effect is excellent. If the pollutant thickness is greater than or equal to the first pollutant thickness, but less than the second pollutant thickness, it means that there is a certain degree of contamination on the surface, but it is still within the controllable range. At this time, the cleaning effect level is set to the second preset cleaning effect level L2, which is slightly lower than L1, but still indicates a good cleaning effect. If the thickness of the pollutant increases further, 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 general and needs attention. Finally, if the thickness of the pollutant 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 pollution. 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 provide a favorable reference 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, when the monitoring module is used to fine-tune the cleaning mode according to the cleaning effect level, the specific process is as follows: Preliminary judgment of the cleaning effect level: First, according to a series of preset standards and algorithms, the current cleaning effect is evaluated and classified into different cleaning effect levels. These levels generally include but are not limited to the first preset cleaning effect level, the second preset cleaning effect level and the third preset cleaning effect level. For the first preset cleaning effect level: If the evaluation result shows that the current cleaning effect level is the first preset cleaning effect level, this usually means that the cleaning effect has reached the expected standard or is very close to the ideal state. Therefore, in this case, no adjustment will be made to the current cleaning mode to maintain its stability and efficiency. For the second preset cleaning effect level: If the cleaning effect level is determined to be the second preset cleaning effect level, this means that although the cleaning effect is acceptable, there is still room for further improvement. In order to optimize the cleaning effect, the cleaning time in the current cleaning mode will be increased by the first preset time T1. This adjustment is intended to enhance the cleaning intensity by extending the cleaning time, thereby improving the cleaning effect. For the third preset cleaning effect level: If the cleaning effect level is detected to be the third preset cleaning effect level, more active adjustment measures will be taken. Specifically, the system will increase the cleaning time in the cleaning mode by the second preset time T2, which is longer than T1, to ensure that the cleaning effect is significantly improved. For the fourth preset cleaning effect level:, the system will increase the cleaning time in the cleaning mode to the third preset time T3. Among them, the length of T3 is longer than T2 and T1 to cope with more severe cleaning challenges and ensure that a satisfactory cleaning effect is achieved in the end.

[0078] like Figure 2 As shown, 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, and the method comprises:

[0079] The drilling fluid is tested to collect drilling fluid characteristic data, which includes 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 also elaborates on an automatic cleaning method based on drilling fluid characteristic pollutant detection, which is designed to improve environmental protection and efficiency during drilling operations and is perfectly adapted to the automatic cleaning system based on drilling fluid characteristic pollutant detection mentioned above. The implementation steps of the method are as follows: Comprehensive collection of drilling fluid characteristic data: First, the drilling fluid generated during the drilling process is comprehensively and accurately detected. This detection process is intended to collect a series of key drilling fluid characteristic data, including but not limited to its pH value, conductivity value, turbidity value, and detailed records of the types of heavy metals present in the drilling fluid and their content values. The collection of these data provides a solid foundation for the subsequent analysis and formulation of cleaning plans. Intelligent analysis of drilling fluid contaminants: Then, the collected drilling fluid characteristic data is deeply analyzed using advanced algorithms. By comparing the preset pollution standards with real-time data, the types of pollutants present in the drilling fluid can be accurately identified, and the concentrations of each pollutant can be accurately calculated. Based on this analysis result, the degree of pollution can be intelligently evaluated, providing a scientific basis for the formulation of subsequent cleaning plans. Personalized setting of cleaning scheme: According to the concentration and type of drilling fluid pollutants, the most suitable cleaning scheme for the current pollution situation can be automatically set. This scheme not only takes into account the removal efficiency of pollutants, but also takes into account the energy consumption and resource utilization in the cleaning process, ensuring the economy and environmental protection of the cleaning operation. Flexible selection of cleaning mode: The system has built-in multiple cleaning modes to deal with different types of drilling fluid pollutants. After the cleaning scheme is determined, the system will automatically select the corresponding cleaning mode and carry out targeted cleaning operations on the drilling. This flexible selection mechanism makes the cleaning process more efficient and accurate. Real-time monitoring and optimization of cleaning effect: During the cleaning process, the system also has a real-time monitoring function. Through real-time monitoring and evaluation of the cleaning effect, the system can promptly discover and adjust the deficiencies in the cleaning mode. This dynamic adjustment mechanism ensures the continuous optimization and improvement of the cleaning process, thereby improving the cleaning effect and operating efficiency. At the same time, it also reduces the environmental risks and operating costs caused by incomplete cleaning.

[0084] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. 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 solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

[0085] The system provided in the above embodiment is only illustrated by the division of the above functional modules. In practical 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 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 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), 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 technical field. In order to clearly illustrate the interchangeability of electronic hardware and software, the composition and steps of each example have been generally described in the above description according to the function. 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 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 the drilling fluid contaminants, and set a cleaning plan according to the concentration and type of the drilling fluid contaminants; A control module connected to the data processing module, the control module is 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 select a corresponding cleaning mode to clean the well according to the control of the control module; A 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.

2. The automatic cleaning system based on drilling fluid characteristic contaminant detection according to claim 1 is characterized in that: The data acquisition module comprises: 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: The data processing module, when used to analyze the drilling fluid characteristic data to determine the type and concentration of drilling fluid contaminants, includes: determining the acidity and alkalinity concentration of the drilling fluid contaminants based on the pH value; determining the ion concentration of the drilling fluid contaminant based on the conductivity value; determining the concentration of visible contaminants in the drilling fluid contaminants based on the turbidity value; The types and concentrations of heavy metals in the drilling fluid pollutants are determined according to the types of heavy metals and the heavy metal content values.

4. The automatic cleaning system based on drilling fluid characteristic contaminant detection according to claim 3 is characterized in that: The data processing module, when used to set a cleaning scheme according to the concentration and type 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 concentration and type of corresponding drilling fluid pollutants; 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 scheme comparison table to determine a cleaning scheme corresponding to the concentration and type of the drilling fluid contaminants.

5. The automatic cleaning system based on drilling fluid characteristic contaminant detection according to claim 4 is characterized in that: The cleaning scheme includes a cleaning agent formula and a cleaning agent concentration.

6. The automatic cleaning system based on drilling fluid characteristic contaminant detection according to claim 5 is characterized in that: The cleaning module, when used to select a corresponding cleaning mode to clean the well according to the control of the control module, includes: Acquire the drilling position to be cleaned, and determine the cleaning time according to the drilling position; The cleaning mode includes a cleaning plan and a cleaning duration.

7. The automatic cleaning system based on drilling fluid characteristic contaminant detection according to claim 1 is characterized in that: 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, including: The monitoring module obtains a cleaning image of the well and determines the thickness of the pollutants in the well according to the cleaning image; A cleaning effect level is determined according to the contaminant thickness, and the cleaning mode is adjusted according to the cleaning effect level.

8. The automatic cleaning system based on drilling fluid characteristic contaminant detection according to claim 7 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 pollutant thickness, a second pollutant thickness, and a third pollutant thickness, wherein the first pollutant thickness, the second pollutant thickness, and the third pollutant 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 the contaminant thickness is less than the second contaminant thickness, the cleaning effect level is set 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, 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.

9. The automatic cleaning system based on drilling fluid characteristic contaminant detection according to claim 8 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.

10. An automatic cleaning method based on drilling fluid characteristic contaminant detection, applied to the automatic cleaning system based on drilling fluid characteristic contaminant detection as claimed in any one of claims 1 to 9, 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 according to the concentration and type 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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