Oil field accurate drug extraction control method and system considering multiple factors

Abstract

The invention relates to the technical field of oil field production, and discloses an oil field accurate drug extraction control method and system considering multiple factors, and the control system is composed of an environment detection module, a drug management module and a control module. According to the invention, environmental adaptability evaluation is carried out through the control system according to medicament performance data in the database, and the required medicament dosage is intelligently predicted according to real-time environmental conditions and historical medicament use records, so that the system can adjust the medicament dosage according to continuously changing environmental conditions, insufficient or excessive medicament addition caused by an unsuitable environment is avoided, and the system is suitable for popularization and application. The intelligent flow meter records the medicament flow once every 6 seconds and monitors whether the flow reaches a predicted value or not, if the flow is lower than a set value, the system can rapidly give an alarm and adjust the working frequency of the pump, it is ensured that medicaments are supplied in time when needed, and the beneficial effect that dosing is not affected in various environments is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of oilfield production, and in particular to an oilfield precise drug extraction control method and system taking multiple factors into consideration. Background Art

[0002] Oilfield chemical extraction refers to the process of injecting chemicals into oil wells during oil extraction: additives, production enhancers to increase oil recovery or improve oil reservoir extraction conditions. The use of such chemicals helps improve the fluidity of crude oil, reduce viscosity, inhibit water hammer, demulsification, etc., thereby improving oil extraction efficiency.

[0003] For example, a dosing system for oil fields with publication number CN 112065332A includes: a dosing box, an injection pump, a first dosing pipeline, a second dosing pipeline, and a control device. The dosing box is connected to the injection pump through the first dosing pipeline, and the injection pump injects the agent into the oil well through the second dosing pipeline. The control device is connected to the injection pump, and the control device includes a frequency converter, which is connected to the injection pump and is used to adjust the working frequency of the injection pump; wherein the dosing box is used to store the agent. The dosing system for oil fields provided in the embodiment of the present invention can continuously and quantitatively add drugs to the oil well, ensure the relative stability of the concentration of the drug in the oil well, and improve the utilization rate of the drug.

[0004] However, the above technical solutions lack performance data on the system under various environmental conditions such as temperature, humidity, and dust, which will limit the application of the system under different oilfield conditions. At the same time, there is no clear description of how the control device feeds back information such as the injection status of the reagents and working faults to the operator. There is a lack of real-time monitoring and alarm data, which leads to insufficient or excessive drug addition in the operation. Summary of the invention

[0005] Technical issues solved:

[0006] In view of the deficiencies in the prior art, the present invention provides a method and system for precise drug extraction control in oil fields that takes multiple factors into consideration, which has the advantages of not being affected by drug addition in various environments, and real-time monitoring of drug addition to ensure insufficient or excessive drug addition, thereby solving the problems of the above-mentioned technologies.

[0007] Technical solution:

[0008] To achieve the above object, the present invention provides the following technical solution: a method for controlling precise drug extraction in oil fields taking multiple factors into consideration, the method comprising the following steps:

[0009] Step 1: Environmental data collection: Environmental data collection: Use sensors and DCS distributed control systems to continuously collect temperature, humidity, oil viscosity, bacterial content and oil quality data, and transmit them to the control system in real time. By monitoring the changes in the quality of the oil flowing out of the wellhead, the injection amount of the agent is adjusted in time to ensure that the quality of the oil treated with the agent remains within a stable range;

[0010] Step 2: Performance analysis and demand prediction: After receiving the environmental data, the control system conducts environmental adaptability assessment through the drug performance data in the database, and intelligently predicts the required drug dosage based on environmental conditions and historical drug use records;

[0011] Step 3: Real-time flow monitoring: The intelligent flow meter records the flow of the agent in real time and monitors whether the flow reaches the predicted value. If the flow is lower than the set value, the system will sound an alarm and adjust the operating frequency of the pump;

[0012] Step 4: Dynamically adjust the injection volume: The controller dynamically adjusts the injection volume according to the real-time flow rate and predicted drug demand, and uses the frequency converter to control the frequency of the injection pump; with the support of the real-time feedback system, ensure that the dosage is within the set range without insufficient or excessive dosage;

[0013] Step 5: Fault detection and alarm: The control system monitors the operating status of the equipment. If any abnormality is found, such as flow fluctuation or pump failure, the alarm mechanism is activated to notify the operator. The system records the fault information and response measures to provide a basis for subsequent analysis.

[0014] The sensor used to collect the viscosity of the oil in step one is a rotary viscometer, and the sensor in step one also includes a temperature sensor, a humidity sensor, an optical sensor, an oil quality analyzer and a flow meter.

[0015] Preferably, in step three, the intelligent flow meter records the flow of the medicine in real time, and the recording frequency is every 6 seconds, ten times per minute.

[0016] An oilfield precise drug extraction control system considering multiple factors, the control system is composed of an environment detection module, a drug management module and a control module;

[0017] The environment detection module is composed of a temperature sensor, a humidity sensor and a particle sensor, and is used to monitor the temperature, humidity and dust and particle concentration in the air of the oil field environment in real time;

[0018] The medicine management module is used to monitor the flow rate of medicine in real time and feed the data back to the control module;

[0019] The control module is used to collect and analyze data from the environmental detection module and the drug management module, quickly respond to and adjust the injection amount of the drug, control the working frequency of the injection pump, and achieve precise control of the drug injection flow rate. By analyzing real-time environmental data and drug usage, demand is predicted and the dosing strategy is optimized.

[0020] Preferably, the temperature monitoring formula in the environment detection module is:

[0021] T=T sensor +ΔT

[0022] Where: T sensor is the temperature measured by the sensor in degrees Celsius, and the ΔT temperature correction value, taking into account sensor errors or environmental effects;

[0023] The humidity monitoring formula is expressed as:

[0024] H=H sensor +ΔH

[0025] Where: H sensor The relative humidity measured by the sensor is in percentage; ΔH is the humidity correction value, which is the correction caused by environmental changes.

[0026] Preferably, the particle concentration monitoring formula in the environmental detection module is:

[0027]

[0028] Where: C sensor The number of particles measured by the sensor; V is the measured volume in cubic meters; CorrectionFactor is the correction factor used to take into account environmental influences or sensor accuracy

[0029] The recommended formula for the drug is:

[0030] D=k·T+m·H+n·P

[0031] Where: k, m, n are coefficients, which are related to temperature, humidity and particle concentration respectively; D is the recommended dosage of the agent, and the influence of environmental factors is taken into account in the calculation process.

[0032] Preferably, the flow monitoring general expression in the drug management module is:

[0033]

[0034] Where: F represents the flow rate of the agent, in liters per hour; V represents the volume of the agent delivered within a certain period of time, in liters; t represents the time when the agent is administered, in hours;

[0035] The data feedback expression in the drug management module is:

[0036] Feedback=f(F,R)

[0037] Among them: Feedback is the feedback data, F is the current flow, and R is the reference flow.

[0038] Preferably, the data feedback expression also includes a feedback strategy:

[0039] If the current flow rate F is inconsistent with the reference flow rate R, the system will trigger the adjustment strategy: ΔF=R-F.

[0040] Preferably, the environmental data in the control module are: (E={T,H,P}) temperature (T), humidity (H) and particle concentration (P); the drug data are (D) drug flow rate; (F) usage;

[0041] The expression for adjusting the injection amount is:

[0042] F new =F current +ΔF

[0043] Among them: F new is the adjusted flow rate; F current is the current flow rate; ΔF is the required adjustment flow rate.

[0044] Preferably, the injection pump control expression is:

[0045] According to the adjusted flow rate F new , the control module will calculate the operating frequency of the injection pump:

[0046]

[0047] Where: f pump is the operating frequency of the pump; The volume for each injection.

[0048] Preferably, the optimized dosing strategy expression is:

[0049] By analyzing the environmental data E and the drug usage D in real time, the control module predicts the demand for drugs and forms an optimized dosing strategy: Strategy = g(E, D);

[0050] Wherein: Strategy is the optimization dosing strategy; g is a function that reflects the relationship between environment and drug data.

[0051] Compared with the prior art, the present invention provides a method and system for controlling precise drug extraction in oil fields taking multiple factors into consideration, which has the following beneficial effects:

[0052] 1. The present invention uses the control system to evaluate environmental adaptability through the drug performance data in the database, and intelligently predicts the required drug dosage based on the real-time environmental conditions and historical drug use records, so that the system can adjust the dosage of the drug according to the constantly changing environmental conditions to avoid insufficient or excessive dosing due to an unsuitable environment. The intelligent flow meter records the drug flow rate every 6 seconds and monitors whether the flow rate reaches the predicted value. If the flow rate is lower than the set value, the system will quickly issue an alarm and adjust the operating frequency of the pump to ensure that the drug is supplied in time when needed. The controller dynamically adjusts the injection flow rate based on the real-time flow rate and predicted drug demand, and uses the frequency converter to control the frequency of the injection pump. The dynamic adjustment capability ensures that the dosage is within the set range to avoid unstable drug injection due to environmental changes. The system continuously monitors the operating status of the equipment. If there is a flow fluctuation or pump failure, the alarm mechanism is immediately activated to notify the operator and record the fault information for subsequent analysis. The fault detection mechanism can quickly respond to abnormal situations and reduce adverse effects, achieving the beneficial effect that drug addition will not be affected in various environments.

[0053] 2. The present invention uses an intelligent flow meter to record the flow of medicine once every 6 seconds through the system. Real-time monitoring can ensure continuous tracking of the flow of medicine, timely detect changes in flow, and avoid problems caused by insufficient flow. The control system intelligently predicts the required amount of medicine through environmental data and historical usage records. This prediction ensures that the supply of medicine matches the immediate demand. When the real-time flow is lower than the predicted need, the system can respond quickly. According to the real-time flow and predicted demand, the controller will use the established formula to dynamically adjust the injection flow to ensure that the dosage is always within the appropriate range. The dynamicity allows the system to make rapid adjustments under unstable environmental conditions. The controller uses the frequency converter to adjust the operating frequency of the injection pump to adapt to the current flow demand, thereby improving the operational flexibility of the pump, enabling it to accurately achieve the desired flow rate, rather than relying solely on fixed frequency operation. If the monitored flow is lower than the set value, the system will sound an alarm and automatically adjust the operating frequency of the pump, which can promptly remind the operator in the case of insufficient flow and take corresponding measures, thereby achieving the beneficial effect of real-time monitoring of drug addition without insufficiency or excess. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] See also Figure 1 , a method for controlling precise drug extraction in oil fields taking multiple factors into consideration, the method comprising the following steps:

[0057] Step 1: Environmental data collection: Environmental data collection: Use sensors and DCS distributed control systems to continuously collect temperature, humidity, oil viscosity, bacterial content and oil quality data, and transmit them to the control system in real time. By monitoring the changes in the quality of the oil flowing out of the wellhead, the injection amount of the agent is adjusted in time to ensure that the quality of the oil treated with the agent remains within a stable range;

[0058] Step 2: Performance analysis and demand prediction: After receiving the environmental data, the control system conducts environmental adaptability assessment through the drug performance data in the database, and intelligently predicts the required drug dosage based on environmental conditions and historical drug use records;

[0059] Step 3: Real-time flow monitoring: The intelligent flow meter records the flow of the agent in real time and monitors whether the flow reaches the predicted value. If the flow is lower than the set value, the system will sound an alarm and adjust the operating frequency of the pump;

[0060] Step 4: Dynamically adjust the injection volume: The controller dynamically adjusts the injection volume according to the real-time flow rate and predicted drug demand, and uses the frequency converter to control the frequency of the injection pump; with the support of the real-time feedback system, ensure that the dosage is within the set range without insufficient or excessive dosage;

[0061] Step 5: Fault detection and alarm: The control system monitors the operating status of the equipment. If any abnormality is found, such as flow fluctuation or pump failure, the alarm mechanism is activated to notify the operator. The system records the fault information and response measures to provide a basis for subsequent analysis.

[0062] Preferably, in step three, the intelligent flow meter records the flow of the medicine in real time, and the recording frequency is every 6 seconds, ten times per minute.

[0063] An intelligent flow meter is used to record the flow of the agent every 6 seconds. Real-time monitoring can ensure continuous tracking of the flow of the agent, timely detect changes in the flow, and avoid problems caused by insufficient flow. The control system intelligently predicts the required amount of medicine through environmental data and historical usage records. This prediction ensures that the supply of medicine matches the immediate demand. When the real-time flow is lower than the predicted need, the system can respond quickly. According to the real-time flow and predicted demand, the controller will use the established formula to dynamically adjust the injection flow to ensure that the amount of medicine added is always within the appropriate range. The dynamic nature allows the system to make quick adjustments under unstable environmental conditions. The controller uses the frequency converter to adjust the operating frequency of the injection pump to adapt to the current flow demand, which improves the operational flexibility of the pump and enables it to accurately achieve the desired flow rate, rather than just relying on fixed-frequency operation. If the monitored flow is lower than the set value, the system will sound an alarm and automatically adjust the operating frequency of the pump, which can promptly remind the operator in the case of insufficient flow and take corresponding measures.

[0064] An oilfield precise drug extraction control system considering multiple factors, the control system is composed of an environment detection module, a drug management module and a control module;

[0065] The environment detection module is composed of a temperature sensor, a humidity sensor and a particle sensor, and is used to monitor the temperature, humidity and dust and particle concentration in the air of the oil field environment in real time;

[0066] The medicine management module is used to monitor the flow rate of medicine in real time and feed the data back to the control module;

[0067] The control module is used to collect and analyze data from the environmental detection module and the drug management module, quickly respond to and adjust the injection amount of the drug, control the working frequency of the injection pump, and achieve precise control of the drug injection flow rate. By analyzing real-time environmental data and drug usage, demand is predicted and the dosing strategy is optimized.

[0068] Preferably, the temperature monitoring formula in the environment detection module is:

[0069] T=T sensor +ΔT

[0070] Where: T sensor is the temperature measured by the sensor in degrees Celsius, and the ΔT temperature correction value, taking into account sensor errors or environmental effects;

[0071] The humidity monitoring formula is expressed as:

[0072] H=H sensor +ΔH

[0073] Where: H sensorThe relative humidity measured by the sensor is in percentage; ΔH is the humidity correction value, which is the correction caused by environmental changes.

[0074] Preferably, the particle concentration monitoring formula in the environmental detection module is:

[0075]

[0076] Where: C sensor The number of particles measured by the sensor; V is the measured volume in cubic meters; CorrectionFactor is the correction factor used to take into account environmental influences or sensor accuracy

[0077] The recommended formula for the drug is:

[0078] D=k·T+m·H+n·P

[0079] Where: k, m, n are coefficients, which are related to temperature, humidity and particle concentration respectively; D is the recommended dosage of the agent, and the influence of environmental factors is taken into account in the calculation process.

[0080] Preferably, the flow monitoring general expression in the drug management module is:

[0081]

[0082] Where: F represents the flow rate of the agent, in liters per hour; V represents the volume of the agent delivered within a certain period of time, in liters; t represents the time when the agent is administered, in hours;

[0083] The data feedback expression in the drug management module is:

[0084] Feedback=f(F,R)

[0085] Among them: Feedback is the feedback data, F is the current flow, and R is the reference flow.

[0086] Preferably, the data feedback expression also includes a feedback strategy:

[0087] If the current flow rate F is inconsistent with the reference flow rate R, the system will trigger the adjustment strategy: ΔF=R-F.

[0088] Preferably, the environmental data in the control module are: (E={T,H,P}) temperature (T), humidity (H) and particle concentration (P); the drug data are (D) drug flow rate; (F) usage;

[0089] The expression for adjusting the injection amount is:

[0090] F new =F current+ΔF

[0091] Among them: F new is the adjusted flow rate; F current is the current flow rate; ΔF is the required adjustment flow rate.

[0092] Preferably, the injection pump control expression is:

[0093] According to the adjusted flow rate F new , the control module will calculate the operating frequency of the injection pump:

[0094]

[0095] Where: f pump is the operating frequency of the pump; The volume for each injection.

[0096] Preferably, the optimized dosing strategy expression is:

[0097] By analyzing the environmental data E and the drug usage D in real time, the control module predicts the demand for drugs and forms an optimized dosing strategy: Strategy = g(E, D);

[0098] Wherein: Strategy is the optimization dosing strategy; g is a function that reflects the relationship between environment and drug data.

[0099] The control system uses the agent performance data in the database to evaluate environmental adaptability, and intelligently predicts the required agent dosage based on real-time environmental conditions and historical medication records, so that the system can adjust the agent usage according to the changing environmental conditions to avoid insufficient or excessive dosage due to an unsuitable environment. The intelligent flow meter records the agent flow rate every 6 seconds and monitors whether the flow rate reaches the predicted value. If the flow rate is lower than the set value, the system will quickly issue an alarm and adjust the pump's operating frequency to ensure that the agent is supplied in time when needed. The controller dynamically adjusts the injection flow rate based on the real-time flow rate and predicted agent demand, and uses the frequency converter to control the injection pump's frequency. The dynamic adjustment capability ensures that the dosage is within the set range to avoid unstable agent injection due to environmental changes. The system continuously monitors the operating status of the equipment. If there is a flow fluctuation or pump failure, the alarm mechanism will be immediately activated to notify the operator and record the fault information for subsequent analysis. The fault detection mechanism can quickly respond to abnormal situations and reduce adverse effects.

[0100] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for controlling precise drug extraction in oil fields taking multiple factors into consideration, characterized in that: The method comprises the following steps: Step 1: Environmental data collection: Use sensors and DCS distributed control systems to continuously collect temperature, humidity, oil viscosity, bacterial content, and oil quality data, and transmit them to the control system in real time. By monitoring the changes in the quality of the oil flowing out of the wellhead, the injection volume of the agent is adjusted in time to ensure that the quality of the oil treated with the agent remains within a stable range; Step 2: Performance analysis and demand prediction: After receiving the environmental data, the control system conducts environmental adaptability assessment through the drug performance data in the database, and intelligently predicts the required drug dosage based on environmental conditions and historical drug use records; Step 3: Real-time flow monitoring: The intelligent flow meter records the flow of the agent in real time and monitors whether the flow reaches the predicted value. If the flow is lower than the set value, the system will sound an alarm and adjust the operating frequency of the pump; Step 4: Dynamically adjust the injection volume: The controller dynamically adjusts the injection volume according to the real-time flow rate and predicted drug demand, and uses the frequency converter to control the frequency of the injection pump; with the support of the real-time feedback system, ensure that the dosage is within the set range without insufficient or excessive dosage; Step 5: Fault detection and alarm: The control system monitors the operating status of the equipment. If any abnormality is found, such as flow fluctuation or pump failure, the alarm mechanism is activated to notify the operator. The system records the fault information and response measures to provide a basis for subsequent analysis. The sensor used to collect the viscosity of the oil product in step 1 is a rotational viscometer.

2. The oilfield precise drug extraction control method considering multiple factors according to claim 1 is characterized by: In step 3, the intelligent flow meter records the flow of the medicine in real time, and the recording frequency is every 6 seconds, ten times per minute.

3. An oilfield precise drug extraction control system considering multiple factors, characterized in that: The control system is composed of an environment detection module, a drug management module and a control module; The environment detection module is composed of a temperature sensor, a humidity sensor and a particle sensor, and is used to monitor the temperature, humidity and dust and particle concentration in the air of the oil field environment in real time; The medicine management module is used to monitor the flow rate of medicine in real time and feed the data back to the control module; The control module is used to collect and analyze data from the environmental detection module and the drug management module, quickly respond to and adjust the injection amount of the drug, control the working frequency of the injection pump, and achieve precise control of the drug injection flow rate. By analyzing real-time environmental data and drug usage, demand is predicted and the dosing strategy is optimized.

4. According to claim 3, a multi-factor oilfield precise drug extraction control system is characterized by: The temperature monitoring formula in the environmental detection module is: T=T sensor +ΔT Where: T sensor is the temperature measured by the sensor in degrees Celsius, and the ΔT temperature correction value, taking into account sensor errors or environmental effects; The humidity monitoring formula is expressed as: H=H sensor +ΔH Where: H sensor The relative humidity measured by the sensor is in percentage; ΔH is the humidity correction value, which is the correction caused by environmental changes.

5. The oilfield precise drug extraction control system considering multiple factors according to claim 3 is characterized by: The particle concentration monitoring formula in the environmental detection module is: Where: C sensor The number of particles measured by the sensor; V is the measured volume in cubic meters; Correction Factor is the correction factor used to take into account environmental effects or sensor accuracy The recommended formula for the drug is: D=k·T+m·H+n·P Where: k, m, n are coefficients, which are related to temperature, humidity and particle concentration respectively; D is the recommended dosage of the agent, and the influence of environmental factors is taken into account during the calculation process.

6. The oilfield precise drug extraction control system considering multiple factors according to claim 3 is characterized by: The flow monitoring general expression in the drug management module is: Where: F represents the flow rate of the agent, in liters per hour; V represents the volume of the agent delivered within a certain period of time, in liters; t represents the time when the agent is administered, in hours; The data feedback expression in the drug management module is: Feedback=f(F,R) Among them: Feedback is the feedback data, F is the current flow, and R is the reference flow.

7. The oilfield precise drug extraction control system considering multiple factors according to claim 6 is characterized by: The data feedback expression also includes a feedback strategy: If the current flow rate F is inconsistent with the reference flow rate R, the system will trigger the adjustment strategy: ΔF=R-F.

8. The oilfield precise drug extraction control system considering multiple factors according to claim 3 is characterized by: The environmental data in the control module are: (E={T,H,P}) temperature (T), humidity (H) and particle concentration (P); the drug data are (D) drug flow rate; (F) usage; The expression for adjusting the injection amount is: F new =F current +ΔF Among them: F new is the adjusted flow rate; F current is the current flow rate; ΔF is the required adjustment flow rate.

9. The oilfield precise drug extraction control system considering multiple factors according to claim 8, characterized in that: The injection pump control expression is: According to the adjusted flow rate F new , the control module will calculate the operating frequency of the injection pump: Where: f pump is the operating frequency of the pump; The volume for each injection.

10. The oilfield precise drug extraction control system considering multiple factors according to claim 9, characterized in that: The optimized dosing strategy expression is: By analyzing the environmental data E and the drug usage D in real time, the control module predicts the demand for drugs and forms an optimized dosing strategy: Strategy = g(E, D); Wherein: Strategy is the optimization dosing strategy; g is a function that reflects the relationship between environment and drug data.

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