Particle energy type high frequency online three-phase flow measurement method

Abstract

The present invention relates to the field of flow measurement technology, and in particular to a particle energy type high-frequency online three-phase flow metering method. The present invention obtains three-phase flow information of a number of fluid samples, a microwave signal intensity curve and environmental information parameters, determines the interference category and fits the sample curve, determines the interfered characteristic fluid sample, obtains the microwave signal intensity curve of the fluid to be measured by microwave irradiation, preliminarily determines and judges whether the three-phase flow information of the fluid to be measured is accurate, determines whether to calibrate and compensate the microwave irradiation, selects output information based on the comparison of the three-phase flow information, or issues an abnormal warning for the metering environment, thereby realizing rapid abnormal risk identification according to the specific environmental conditions of the mixed fluid, adaptively optimizing the measurement method, and improving the detection accuracy of the three-phase flow information.

Description

Technical Field

[0001] The invention relates to the technical field of flow measurement, and in particular to a particle energy type high frequency online three-phase flow metering method. Background Art

[0002] With the continuous increase in global energy demand, the scale of exploitation and utilization of resources such as oil and natural gas will continue to expand. Real-time grasp of changes in oil, gas and water production and understanding of reservoir changes are crucial to optimizing production parameters. The demand for three-phase flow metering technology will also increase accordingly, especially in complex mining environments such as offshore oil and gas fields and unconventional oil and gas fields. The requirements for the accuracy and reliability of three-phase flow metering will also increase accordingly. Although some current metering technologies can achieve real-time online metering, there is still room for improvement in measurement accuracy, stability, and scope of application. Sensors may be disturbed in complex three-phase flow environments, affecting the accuracy of measurement results. Therefore, improving the measurement accuracy and stability of three-phase flow is a technical problem that needs to be solved urgently.

[0003] For example, the Chinese patent authorization announcement number CN113389540B discloses a multiphase flow fluid measurement system, including a flow meter module, a water content module and a data acquisition and processing module, wherein the flow meter module is connected to the water content module, the flow meter module is connected to the data acquisition and processing module, and the water content module is connected to the data acquisition and processing module; the flow meter module is used to measure the virtual high flow of the fluid; the water content module is used to measure the phase content of water; the data acquisition and processing module is used to collect data and calculate the flow of each phase. The modular design of the sensor facilitates the adjustment of the sensor position according to different metering requirements, and can provide fast, stable and reliable metering and detection results for oil and gas wells in different working conditions.

[0004] The prior art still has the following problems:

[0005] The existing technology does not take into account that the difference in measurement environment during the actual measurement process will affect the three-phase flow measurement results. The existing technology cannot quickly identify abnormal risks according to the specific environmental conditions of the mixed fluid, and cannot adaptively optimize the measurement method, which affects the detection accuracy of the three-phase flow information. Summary of the invention

[0006] To this end, the present invention provides a particle energy type high-frequency online three-phase flow metering method to overcome the problem that the prior art cannot quickly identify abnormal risks according to the specific environmental conditions of the mixed fluid, cannot adaptively optimize the measurement method, and affects the detection accuracy of the three-phase flow information.

[0007] To achieve the above object, the present invention provides a particle energy type high frequency online three-phase flow metering method, comprising:

[0008] Acquire three-phase flow information of a plurality of fluid samples and a microwave signal strength curve of each fluid sample according to a preset time interval, and determine the interference category of the fluid sample based on the environmental information parameters of each fluid sample;

[0009] Wherein, the environmental information parameters include pipeline noise parameters and pipeline vibration parameters;

[0010] Fitting several microwave signal strength curves of the same interference category with the same three-phase flow information into sample curves and storing them in the sample library, and determining whether the current fluid sample is an interference characteristic fluid sample according to the difference between the sample curves of different interference categories;

[0011] Obtaining a microwave signal intensity curve of the fluid to be measured by microwave irradiation, preliminarily determining three-phase flow information of the fluid to be measured based on a comparison between the microwave signal intensity curve and a sample curve in the sample library, and determining whether the accuracy of the preliminary determination of the three-phase flow information is qualified based on fluid samples corresponding to the three-phase flow information;

[0012] In response to the initial determination that the accuracy of the three-phase flow information is unqualified, obtaining environmental information parameters of the fluid to be measured to determine whether to perform calibration compensation on the microwave irradiation, including:

[0013] Determine a compensation method and a calibration compensation amount for the microwave irradiation, compare the acquired microwave signal strength curve with the sample curve in the sample library after the calibration compensation is completed to obtain corresponding three-phase flow information, and select output information based on the comparison between the three-phase flow information and the initially determined three-phase flow information;

[0014] Or, issue an abnormal warning for the measurement environment.

[0015] Further, determining the interference category of the fluid sample includes:

[0016] If the environmental information parameter of the fluid sample meets the flow signal stability condition, then determining that the interference category of the fluid sample is a non-explicit signal interference category;

[0017] If the environmental information parameter of the fluid sample does not meet the flow signal stability condition, the interference category of the fluid sample is determined to be the dominant signal interference category.

[0018] Furthermore, the flow signal stability condition is that the maximum value of the pipeline noise parameter does not exceed a preset noise threshold and the maximum value of the pipeline vibration parameter does not exceed a preset vibration threshold.

[0019] Furthermore, determining the interference coefficient based on the difference of sample curves of different interference categories includes obtaining sample curves of different interference categories with the same three-phase flow information, and determining the overlap of the sample curves as the interference coefficient of the fluid sample.

[0020] Furthermore, determining whether the current fluid sample is a disturbed characteristic fluid sample further includes:

[0021] If the interference coefficient of the current fluid sample meets the normal condition of the fluid sample, the fluid sample is not screened;

[0022] If the interference coefficient of the current fluid sample does not meet the normal condition of the fluid sample, the fluid sample is determined as a disturbed characteristic fluid sample;

[0023] The normal condition of the fluid sample is that the interference coefficient exceeds a preset interference threshold.

[0024] Furthermore, determining the three-phase flow information of the fluid to be measured includes: calculating the overlap between the microwave signal intensity curve of the fluid to be measured and each sample curve, and determining the three-phase flow information of the sample curve corresponding to the maximum overlap as the three-phase flow information of the fluid to be measured.

[0025] Further, determining whether the accuracy of the preliminary determination of the three-phase flow information is qualified includes:

[0026] If the fluid sample corresponding to the three-phase flow information is a disturbed characteristic fluid sample, it is determined that the accuracy of the preliminary determination of the three-phase flow information is unqualified.

[0027] Further, determining whether to perform calibration compensation on the microwave irradiation includes:

[0028] Obtain pipeline noise parameters and pipeline vibration parameters of the current fluid to be tested;

[0029] If the environmental information meets the compensation condition, calibrating and compensating the microwave irradiation;

[0030] If the environmental information does not meet the compensation conditions, an abnormal warning will be issued for the measurement environment;

[0031] The compensation condition is that the average value of the pipeline noise parameter does not exceed the preset environmental noise reference value or the average value of the pipeline vibration parameter does not exceed the preset environmental vibration reference value.

[0032] Furthermore, the calibration compensation method of the microwave irradiation is to reduce the frequency of the microwave irradiation, and the calibration compensation amount of the microwave irradiation is positively correlated with the pipeline noise parameter and positively correlated with the pipeline vibration parameter.

[0033] Furthermore, the output information selected based on the comparison of the three-phase flow information includes:

[0034] Calculate the overlap between the microwave signal strength curve after calibration and compensation and each sample curve, and determine the three-phase flow information of the sample curve corresponding to the maximum overlap value as the three-phase flow information after calibration and compensation;

[0035] If the three-phase flow information is the same as the initially determined three-phase flow information, then the corresponding three-phase flow information after calibration and compensation is output;

[0036] If the three-phase flow information is different from the initially determined three-phase flow information, an abnormal metering environment warning is output.

[0037] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention obtains three-phase flow information and microwave signal intensity curves of several fluid samples, determines the interference category of the fluid samples based on environmental information parameters, fits several microwave signal intensity curves of the same interference category with the same three-phase flow information into sample curves and stores them in a sample library, determines whether it is an interfered characteristic fluid sample according to the difference between sample curves of different interference categories, obtains the microwave signal intensity curve of the fluid to be measured by microwave irradiation, preliminarily determines the three-phase flow information of the fluid to be measured according to the comparison with the sample curve, and determines the accuracy of the preliminary judgment of the three-phase flow information Whether it is qualified, the environmental information parameters of the fluid to be tested are obtained to determine whether to calibrate and compensate for the microwave irradiation, and the compensation method and calibration compensation amount for the microwave irradiation are determined. After the calibration compensation is completed, the acquired microwave signal intensity curve is compared with the sample curve in the sample library to obtain the corresponding three-phase flow information, and the output information is selected based on the comparison between the three-phase flow information and the preliminarily determined three-phase flow information, or an abnormal warning is issued for the metering environment. Furthermore, according to the specific environmental conditions of the mixed fluid, the abnormal risk identification is quickly carried out, the measurement method is adaptively optimized, and the detection accuracy of the three-phase flow information is improved.

[0038] In particular, the present invention determines the interference category of the fluid sample through the environmental information parameters of each fluid sample. It can be understood that the pipeline noise parameters and the pipeline vibration parameters are closely related to the measurement process of the fluid flow state. The pipeline noise can be caused by the interaction of the three phases in the fluid, and can be the flow noise generated by turbulence during gas-liquid mixing, emulsification state changes during liquid-liquid mixing, etc., or it can be caused by solid impurities in the fluid hitting the pipeline wall. When the noise exceeds the normal range or presents specific spectral characteristics, it will interfere with the measurement of the flow of each phase of the fluid and affect the detection accuracy of the three-phase flow information. Changes in the vibration amplitude, frequency and direction of the pipeline can characterize changes in the fluid flow state. The pulsating flow of a certain phase of fluid will produce pipeline vibration of a specific frequency, reflecting the periodic interference phenomenon inside the fluid. The present invention determines the interference category of the fluid sample by obtaining the pipeline noise parameters and the pipeline vibration parameters, and then realizes rapid abnormal risk identification according to the specific environmental conditions of the mixed fluid, thereby improving the detection accuracy of the three-phase flow information.

[0039] In particular, the present invention fits several microwave signal strength curves of the same interference category with the same three-phase flow information into sample curves. It can be understood that when the three-phase flow information is the same and the interference category is consistent, the microwave signal strength curve has similar change trends and characteristics. By fitting these curves into sample curves, scattered data with the same properties can be summarized and summarized, and representative curve shapes and change laws can be extracted. In the subsequent online measurement process, the microwave signal strength curve acquired in real time is compared with the sample curve to quickly determine whether the current three-phase flow information meets expectations, thereby realizing rapid identification of abnormal risks and improving the detection accuracy of three-phase flow information.

[0040] In particular, the present invention determines whether a fluid sample is a disturbed characteristic fluid sample by comparing the difference between sample curves of different disturbed categories. It can be understood that when the difference between sample curves of different disturbed categories is small, the flow state of the mixed fluid in the pipeline is relatively stable, the flow velocity of the fluid and the distribution ratio of each phase do not change significantly, there is no phenomenon of turbulence intensification, phase separation, etc., each phase flows in a relatively stable manner, and the interaction between the mixed fluid and the pipeline wall is relatively regular. At this time, the flow rate of each phase is also in a stable state, and the detection accuracy of the three-phase flow information is guaranteed. When the difference between sample curves of different disturbed categories is large, the interaction between the phases of the mixed fluid undergoes complex changes, and the mixed fluid has local vortices, reflux, etc. The mixed fluid may contain solid particles, and the energy generated by the collision and friction between the particles is propagated outward in the form of sound waves to form noise, and the impact force generated by these collisions and friction is transmitted to the pipeline wall, which will cause pipeline vibration. The present invention determines whether the fluid sample is a disturbed characteristic fluid sample by comparing the difference between sample curves of different disturbed categories, thereby realizing the quantification of the difference of the fluid sample and improving the detection accuracy of the three-phase flow information.

[0041] In particular, the present invention determines whether to calibrate and compensate for microwave irradiation through environmental information parameters of the fluid to be measured. It is understandable that when the environmental information parameters of the fluid to be measured fluctuate greatly, it will interfere with the propagation of the signal, causing additional scattering and attenuation of the signal, resulting in increased measurement errors. It is difficult to ensure the detection accuracy of the three-phase flow information by only relying on calibration compensation for microwave irradiation. When the fluctuation difference of the environmental information parameters of the fluid to be measured is relatively stable, it is feasible to appropriately calibrate and compensate for microwave irradiation. Calibration compensation can reduce interference with microwave irradiation, maintain stable propagation characteristics in a relatively unstable measurement environment, and reduce signal attenuation anomalies caused by environmental factors. Furthermore, it is achieved that the measurement method is adaptively optimized to improve the detection accuracy of the three-phase flow information.

[0042] In particular, the calibration compensation method of microwave irradiation in the present invention is to reduce the frequency of microwave irradiation. It can be understood that when the fluctuation difference of the environmental information parameter of the fluid to be measured is relatively stable, reducing the frequency of microwave irradiation can make the signal relatively less affected by the environment when propagating in the fluid, and the propagation characteristics are more stable, which can reduce the signal fluctuation caused by noise and vibration, thereby improving the accuracy and reliability of measurement. The wavelength of low-frequency microwave irradiation is longer. When interacting with each phase of matter in a mixed fluid, the sensitivity to tiny particles, local inhomogeneities and some weak flow state changes is reduced, which can reduce the uncertainty of signal attenuation caused by the complex microstructure and dynamic changes in the fluid, so that the result of calculating the flow rate of each phase based on signal attenuation is more accurate. The signal of low-frequency microwave irradiation loses energy relatively slowly during propagation, and can maintain a stronger signal strength at the same measurement distance, which is beneficial to improving the quality of signal reception and improving the performance and stability of three-phase flow measurement. Furthermore, it is achieved to adaptively optimize the measurement method and improve the detection accuracy of three-phase flow information.

[0043] In particular, the calibration compensation amount of microwave irradiation in the present invention is positively correlated with the pipeline noise parameter and the pipeline vibration parameter. It can be understood that the pipeline noise parameter reflects information such as the intensity, frequency range and complexity of the noise. When the pipeline noise is large, the high-frequency microwave irradiation frequency signal is easily disturbed by the noise during transmission and causes abnormal scattering and attenuation. It is difficult to accurately obtain the normal signal attenuation caused by the characteristics of each phase of the mixed fluid. It is necessary to reduce the frequency of microwave irradiation to reduce the influence of pipeline noise on flow measurement. The larger the pipeline noise parameter, the larger the calibration compensation amount of microwave irradiation. The pipeline vibration parameter reflects the amplitude, frequency and stability of vibration. Strong pipeline vibration will destroy the stability of signal propagation, so that the relative position and physical connection between the signal generator and the receiving end are in dynamic change. The high-frequency microwave irradiation frequency signal is more likely to produce distortion and additional attenuation in such an unstable environment. Reducing the frequency of microwave irradiation and using a low-frequency signal can enhance the anti-interference ability of the signal in a vibration environment. The larger the pipeline vibration parameter, the larger the calibration compensation amount of microwave irradiation. In turn, the measurement method is adaptively optimized to improve the detection accuracy of the three-phase flow information.

[0044] In particular, the present invention selects output information through the comparison of three-phase flow information. It can be understood that when the three-phase flow information obtained by matching the microwave signal intensity curve obtained after the calibration compensation in the sample library is the same as the three-phase flow information obtained before the calibration compensation, the characterization of the three-phase flow information is accurate. When the three-phase flow information obtained by matching the microwave signal intensity curve obtained after the calibration compensation in the sample library is different from the three-phase flow information obtained before the calibration compensation, the characterization of the three-phase flow information is greatly affected by the environmental interference during measurement, and accurate three-phase flow information cannot be obtained through calibration compensation, and manual verification is required. Furthermore, it is realized that abnormal risk identification can be quickly performed according to the specific environmental conditions of the mixed fluid, and the detection accuracy of the three-phase flow information is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 This is a step diagram of a particle energy type high frequency online three-phase flow metering method according to an embodiment of the present invention;

[0046] Figure 2 A logic flow chart for determining a disturbed category of a fluid sample for an embodiment of the present invention;

[0047] Figure 3 A logic flow chart for determining whether a current fluid sample is a disturbed characteristic fluid sample according to an embodiment of the present invention;

[0048] Figure 4 The present invention is a logic flow chart for determining whether the accuracy of the preliminary determination of the three-phase flow information is qualified. DETAILED DESCRIPTION

[0049] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0050] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0051] It should be noted that, in the description of the present invention, terms such as "upper", "lower", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0052] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation" and "connection" 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 an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0053] See also Figure 1 As shown, it is a step diagram of a particle energy type high frequency online three-phase flow metering method according to an embodiment of the present invention. The particle energy type high frequency online three-phase flow metering method according to the present invention comprises:

[0054] Step S100, obtaining three-phase flow information of a plurality of fluid samples and a microwave signal strength curve of each fluid sample according to a preset time interval, and determining the interference category of the fluid sample based on the environmental information parameters of each fluid sample;

[0055] Wherein, the environmental information parameters include pipeline noise parameters and pipeline vibration parameters;

[0056] Specifically, the preset time interval can be set by technical personnel in this field according to the detection accuracy requirement of the three-phase flow information. The higher the detection accuracy requirement of the three-phase flow information, the shorter the time interval is set. Preferably, the value range of the time interval can be [1, 5], and the interval unit is min.

[0057] Specifically, the microwave signal strength curve can be drawn based on the principle that different relative microwave signal absorption degrees in the mixed fluid are different. A rectangular coordinate system is established with the transmitting end signal strength as the horizontal coordinate and the receiving end signal strength as the vertical coordinate, which will not be repeated here.

[0058] Specifically, the present invention does not specifically limit the method for obtaining pipeline noise parameters. Preferably, the sound intensity electrical signal of the pipeline can be collected by a sound sensor, and the sound intensity electrical signal can be transmitted to the converter through an amplification circuit. The converter converts the sound intensity electrical signal into a decibel numerical output to obtain the pipeline noise parameters.

[0059] Specifically, the present invention does not specifically limit the method for obtaining the pipeline vibration parameters. Preferably, a capacitive displacement sensor can be used for measurement, and the pipeline vibration frequency can be obtained by measuring the change in capacitance between the plates, which will not be described in detail here.

[0060] Step S200, fitting a number of microwave signal strength curves of the same interference category with the same three-phase flow information into sample curves and storing them in a sample library, and determining whether the current fluid sample is an interference characteristic fluid sample according to the difference between the sample curves of different interference categories;

[0061] Specifically, the present invention fits several microwave signal strength curves of the same interference category with the same three-phase flow information into sample curves. It can be understood that when the three-phase flow information is the same and the interference category is consistent, the microwave signal strength curve has similar change trends and characteristics. By fitting these curves into sample curves, scattered data with the same properties can be summarized and summarized, and representative curve shapes and change laws can be extracted. In the subsequent online measurement process, the microwave signal strength curve acquired in real time is compared with the sample curve to quickly determine whether the current three-phase flow information meets expectations, thereby realizing rapid identification of abnormal risks and improving the detection accuracy of three-phase flow information.

[0062] Step S300, obtaining a microwave signal intensity curve of the fluid to be measured by microwave irradiation, preliminarily determining three-phase flow information of the fluid to be measured based on a comparison between the microwave signal intensity curve and a sample curve in the sample library, and determining whether the accuracy of the preliminary determination of the three-phase flow information is qualified based on the fluid samples corresponding to the three-phase flow information;

[0063] Specifically, the present invention does not specifically limit the method of microwave irradiation. Preferably, the microwave emission source and the receiver can be placed on both sides of the fluid pipeline to be measured, so that the microwaves can directly penetrate the fluid, obtain the energy emitted and received by the microwave signal, and obtain three-phase flow information based on the principle that microwaves will attenuate differently when passing through different media.

[0064] Step S400, in response to the initial determination of the accuracy of the three-phase flow information being unqualified, obtaining environmental information parameters of the fluid to be measured to determine whether to perform calibration compensation for the microwave irradiation, including:

[0065] Determine a compensation method and a calibration compensation amount for the microwave irradiation, compare the acquired microwave signal strength curve with the sample curve in the sample library after the calibration compensation is completed to obtain corresponding three-phase flow information, and select output information based on the comparison between the three-phase flow information and the initially determined three-phase flow information;

[0066] Or, issue an abnormal warning for the measurement environment.

[0067] Specifically, see Figure 2As shown, it is a logic flow chart of determining the interference category of a fluid sample according to an embodiment of the present invention. The process of determining the interference category of a fluid sample includes:

[0068] If the environmental information parameter of the fluid sample meets the flow signal stability condition, then determining that the interference category of the fluid sample is a non-explicit signal interference category;

[0069] If the environmental information parameter of the fluid sample does not meet the flow signal stability condition, the interference category of the fluid sample is determined to be the dominant signal interference category.

[0070] Specifically, the flow signal stability condition is that the maximum value of the pipeline noise parameter does not exceed the preset noise threshold and the maximum value of the pipeline vibration parameter does not exceed the preset vibration threshold.

[0071] Specifically, the preset noise threshold and vibration threshold may be set by those skilled in the art based on the average value of several detection data of the three-phase flow information measurement environment. Preferably, the noise threshold may be 60 dB, and the vibration threshold may be 100 Hz.

[0072] Specifically, the present invention determines the interference category of the fluid sample through the environmental information parameters of each fluid sample. It can be understood that the pipeline noise parameters and the pipeline vibration parameters are closely related to the measurement process of the fluid flow state. The pipeline noise can be caused by the interaction of the three phases in the fluid. It can be the flow noise generated by turbulence during gas-liquid mixing, emulsification state changes during liquid-liquid mixing, etc. It can also be caused by solid impurities in the fluid hitting the pipeline wall. When the noise exceeds the normal range or presents specific spectral characteristics, it will interfere with the measurement of the flow of each phase of the fluid and affect the detection accuracy of the three-phase flow information. The changes in the vibration amplitude, frequency and direction of the pipeline can characterize the changes in the fluid flow state. The pulsating flow of a certain phase of fluid will produce pipeline vibration of a specific frequency, reflecting the periodic interference phenomenon inside the fluid. The present invention determines the interference category of the fluid sample by obtaining the pipeline noise parameters and the pipeline vibration parameters, thereby realizing rapid abnormal risk identification based on the specific environmental conditions of the mixed fluid and improving the detection accuracy of the three-phase flow information.

[0073] Specifically, determining the interference coefficient based on the difference of sample curves of different interference categories includes obtaining sample curves of different interference categories with the same three-phase flow information, and determining the overlap of the sample curves as the interference coefficient of the fluid sample.

[0074] Specifically, see Figure 3 As shown, it is a logic flow chart of determining whether the current fluid sample is a disturbed characteristic fluid sample according to an embodiment of the present invention. Determining whether the current fluid sample is a disturbed characteristic fluid sample also includes:

[0075] If the interference coefficient of the current fluid sample meets the normal condition of the fluid sample, the fluid sample is not screened;

[0076] If the interference coefficient of the current fluid sample does not meet the normal condition of the fluid sample, the fluid sample is determined as a disturbed characteristic fluid sample;

[0077] The normal condition of the fluid sample is that the interference coefficient exceeds a preset interference threshold.

[0078] Specifically, the preset interference threshold may be set by those skilled in the art based on an average value of several detection data of three-phase flow information measurements. Preferably, the interference threshold may be 0.93.

[0079] Specifically, the present invention determines whether the fluid sample is a disturbed characteristic fluid sample by comparing the difference of sample curves of different disturbed categories. It can be understood that when the difference of sample curves of different disturbed categories is small, the flow state of the mixed fluid in the pipeline is relatively stable, the flow velocity of the fluid and the distribution ratio of each phase do not change significantly, there is no phenomenon of turbulence intensification, phase separation, etc., each phase flows in a relatively stable manner, and the interaction between the mixed fluid and the pipeline wall is relatively regular. At this time, the flow rate of each phase is also in a stable state, and the detection accuracy of the three-phase flow information is guaranteed. When the difference of sample curves of different disturbed categories is large, the interaction between the phases of the mixed fluid is characterized by complex changes, and the mixed fluid has local vortices, reflux and other phenomena. The mixed fluid may contain solid particles, and the energy generated by the collision and friction between the particles is propagated outward in the form of sound waves to form noise, and the impact force generated by these collisions and friction is transmitted to the pipeline wall, which will cause pipeline vibration. The present invention determines whether the fluid sample is a disturbed characteristic fluid sample by comparing the difference of sample curves of different disturbed categories, thereby realizing the quantification of the difference of the fluid sample and improving the detection accuracy of the three-phase flow information.

[0080] Specifically, determining the three-phase flow information of the fluid to be measured includes calculating the overlap between the microwave signal intensity curve of the fluid to be measured and each sample curve, and determining the three-phase flow information of the sample curve corresponding to the maximum overlap as the three-phase flow information of the fluid to be measured.

[0081] Specifically, see Figure 4 As shown, it is a logic flow chart for determining whether the accuracy of the preliminary determination of the three-phase flow information is qualified in an embodiment of the present invention. Determining whether the accuracy of the preliminary determination of the three-phase flow information is qualified includes:

[0082] If the fluid sample corresponding to the three-phase flow information is a disturbed characteristic fluid sample, it is determined that the accuracy of the preliminary determination of the three-phase flow information is unqualified;

[0083] If the fluid sample corresponding to the three-phase flow information is not a disturbed characteristic fluid sample, it is determined that the accuracy of the preliminary determination of the three-phase flow information is qualified.

[0084] Specifically, determining whether to perform calibration compensation on the microwave irradiation includes:

[0085] Obtain pipeline noise parameters and pipeline vibration parameters of the current fluid to be tested;

[0086] If the environmental information meets the compensation condition, calibrating and compensating the microwave irradiation;

[0087] If the environmental information does not meet the compensation conditions, an abnormal warning will be issued for the measurement environment;

[0088] The compensation condition is that the average value of the pipeline noise parameter does not exceed the preset environmental noise reference value or the average value of the pipeline vibration parameter does not exceed the preset environmental vibration reference value.

[0089] Specifically, the preset environmental noise reference value and environmental vibration reference value can be set by technical personnel in this field according to the actual environmental information measured by the three-phase flow information. Preferably, the environmental noise reference value can be 120dB, and the environmental vibration reference value can be 220Hz.

[0090] Specifically, the present invention determines whether to calibrate and compensate for microwave irradiation through environmental information parameters of the fluid to be measured. It can be understood that when the environmental information parameters of the fluid to be measured fluctuate greatly, it will interfere with the propagation of the signal, causing additional scattering and attenuation of the signal, resulting in increased measurement errors. It is difficult to ensure the detection accuracy of the three-phase flow information by only relying on calibration compensation for microwave irradiation. When the fluctuation difference of the environmental information parameters of the fluid to be measured is relatively stable, it is feasible to appropriately calibrate and compensate for microwave irradiation. Calibration compensation can reduce interference with microwave irradiation, maintain stable propagation characteristics in a relatively unstable measurement environment, and reduce signal attenuation anomalies caused by environmental factors. Furthermore, adaptive optimization of the measurement method is achieved to improve the detection accuracy of the three-phase flow information.

[0091] Specifically, the calibration compensation method of the microwave irradiation is to reduce the frequency of the microwave irradiation, and the calibration compensation amount of the microwave irradiation is positively correlated with the pipeline noise parameter and the pipeline vibration parameter.

[0092] Specifically, the calibration compensation method of microwave irradiation in the present invention is to reduce the frequency of microwave irradiation. It can be understood that when the fluctuation difference of the environmental information parameter of the fluid to be measured is relatively stable, reducing the frequency of microwave irradiation can make the signal relatively less affected by the environment when propagating in the fluid, and the propagation characteristics are more stable. It can reduce the signal fluctuation caused by noise and vibration, thereby improving the accuracy and reliability of measurement. The wavelength of low-frequency microwave irradiation is longer. When interacting with each phase of matter in a mixed fluid, the sensitivity to tiny particles, local inhomogeneities and some weak flow state changes is reduced, and the uncertainty of signal attenuation caused by the complex microstructure and dynamic changes in the fluid can be reduced, so that the result of calculating the flow rate of each phase based on signal attenuation is more accurate. The signal of low-frequency microwave irradiation loses energy relatively slowly during propagation, and can maintain a stronger signal strength at the same measurement distance, which is beneficial to improving the quality of signal reception and improving the performance and stability of three-phase flow measurement. In addition, it realizes adaptive optimization of the measurement method and improves the detection accuracy of three-phase flow information.

[0093] Specifically, the calibration compensation amount of microwave irradiation in the present invention is positively correlated with the pipeline noise parameter and the pipeline vibration parameter. It can be understood that the pipeline noise parameter reflects the information such as the intensity, frequency range and complexity of the noise. When the pipeline noise is large, the high-frequency microwave irradiation frequency signal is easily disturbed by the noise during transmission and causes abnormal scattering and attenuation. It is difficult to accurately obtain the normal signal attenuation caused by the characteristics of each phase of the mixed fluid. It is necessary to reduce the frequency of microwave irradiation and reduce the influence of pipeline noise on flow measurement. The larger the pipeline noise parameter, the larger the calibration compensation amount of microwave irradiation. The pipeline vibration parameter reflects the amplitude, frequency and stability of vibration. Strong pipeline vibration will destroy the stability of signal propagation, so that the relative position and physical connection between the signal generator and the receiving end are in dynamic change. The high-frequency microwave irradiation frequency signal is more prone to distortion and additional attenuation in such an unstable environment. Reducing the frequency of microwave irradiation and using a low-frequency signal can enhance the anti-interference ability of the signal in a vibration environment. The larger the pipeline vibration parameter, the larger the calibration compensation amount of microwave irradiation. In turn, the measurement method is adaptively optimized to improve the detection accuracy of the three-phase flow information.

[0094] Specifically, the output information selected based on the comparison of the three-phase flow information includes:

[0095] Calculate the overlap between the microwave signal strength curve after calibration and compensation and each sample curve, and determine the three-phase flow information of the sample curve corresponding to the maximum overlap value as the three-phase flow information after calibration and compensation;

[0096] If the three-phase flow information is the same as the initially determined three-phase flow information, then the corresponding three-phase flow information after calibration and compensation is output;

[0097] If the three-phase flow information is different from the initially determined three-phase flow information, an abnormal metering environment warning is output.

[0098] Specifically, the present invention selects output information through the comparison of three-phase flow information. It can be understood that when the three-phase flow information obtained by matching the microwave signal intensity curve obtained after the calibration compensation in the sample library is the same as the three-phase flow information obtained before the calibration compensation, the characterization of the three-phase flow information is accurate. When the three-phase flow information obtained by matching the microwave signal intensity curve obtained after the calibration compensation in the sample library is different from the three-phase flow information obtained before the calibration compensation, the characterization of the three-phase flow information is greatly affected by the environmental interference during measurement, and accurate three-phase flow information cannot be obtained through calibration compensation, and manual verification is required. Furthermore, it is realized that abnormal risk identification can be quickly performed according to the specific environmental conditions of the mixed fluid, and the detection accuracy of the three-phase flow information is improved.

[0099] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0100] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. Particle energy type high frequency online three-phase flow metering method, characterized in that: include: Acquire three-phase flow information of a plurality of fluid samples and a microwave signal strength curve of each fluid sample according to a preset time interval, and determine the interference category of the fluid sample based on the environmental information parameters of each fluid sample; Wherein, the environmental information parameters include pipeline noise parameters and pipeline vibration parameters; Fitting several microwave signal strength curves of the same interference category with the same three-phase flow information into sample curves and storing them in the sample library, and determining whether the current fluid sample is an interference characteristic fluid sample according to the difference between the sample curves of different interference categories; Obtaining a microwave signal intensity curve of the fluid to be measured by microwave irradiation, preliminarily determining three-phase flow information of the fluid to be measured based on a comparison between the microwave signal intensity curve and a sample curve in the sample library, and determining whether the accuracy of the preliminary determination of the three-phase flow information is qualified based on fluid samples corresponding to the three-phase flow information; If the fluid sample corresponding to the three-phase flow information is a disturbed characteristic fluid sample, it is determined that the accuracy of the preliminary determination of the three-phase flow information is unqualified; In response to the initial determination that the accuracy of the three-phase flow information is unqualified, obtaining environmental information parameters of the fluid to be measured to determine whether to perform calibration compensation on the microwave irradiation, including: Obtain pipeline noise parameters and pipeline vibration parameters of the current fluid to be tested; If the environmental information meets the compensation condition, calibrating and compensating the microwave irradiation; If the environmental information does not meet the compensation conditions, an abnormal warning will be issued for the measurement environment; The compensation condition is that the average value of the pipeline noise parameter does not exceed the preset environmental noise reference value or the average value of the pipeline vibration parameter does not exceed the preset environmental vibration reference value; Determine a compensation method and a calibration compensation amount for the microwave irradiation, compare the acquired microwave signal strength curve with the sample curve in the sample library after the calibration compensation is completed to obtain corresponding three-phase flow information, and select output information based on the comparison between the three-phase flow information and the initially determined three-phase flow information; The calibration compensation method of the microwave irradiation is to reduce the frequency of the microwave irradiation, and the calibration compensation amount of the microwave irradiation is positively correlated with the pipeline noise parameter and the pipeline vibration parameter; Calculate the overlap between the microwave signal strength curve after calibration and compensation and each sample curve, and determine the three-phase flow information of the sample curve corresponding to the maximum overlap value as the three-phase flow information after calibration and compensation; If the three-phase flow information is the same as the initially determined three-phase flow information, then the corresponding three-phase flow information after calibration and compensation is output; If the three-phase flow information is different from the three-phase flow information determined initially, an abnormal metering environment warning is output; Or, issue an abnormal warning for the measurement environment.

2. The particle energy type high frequency online three-phase flow metering method according to claim 1 is characterized in that: The process of determining the disturbance category of a fluid sample includes: If the environmental information parameter of the fluid sample meets the flow signal stability condition, then determining that the interference category of the fluid sample is a non-explicit signal interference category; If the environmental information parameter of the fluid sample does not meet the flow signal stability condition, the interference category of the fluid sample is determined to be the dominant signal interference category.

3. The particle energy type high frequency online three-phase flow metering method according to claim 2 is characterized in that: The flow signal stability condition is that the maximum value of the pipeline noise parameter does not exceed a preset noise threshold and the maximum value of the pipeline vibration parameter does not exceed a preset vibration threshold.

4. The particle energy type high frequency online three-phase flow metering method according to claim 3 is characterized in that: The interference coefficient is determined based on the difference of sample curves of different interference categories, including: Sample curves of different interference categories with the same three-phase flow information are obtained, and the overlap of the sample curves is determined as the interference coefficient of the fluid sample.

5. The particle energy type high frequency online three-phase flow metering method according to claim 4 is characterized in that: Determining whether the current fluid sample is a disturbed characteristic fluid sample also includes: If the interference coefficient of the current fluid sample meets the normal condition of the fluid sample, the fluid sample is not screened; If the interference coefficient of the current fluid sample does not meet the normal condition of the fluid sample, the fluid sample is determined as a disturbed characteristic fluid sample; The normal condition of the fluid sample is that the interference coefficient exceeds a preset interference threshold.

6. The particle energy type high frequency online three-phase flow metering method according to claim 5 is characterized in that: Determine the three-phase flow information of the fluid to be measured including: The overlap between the microwave signal intensity curve of the fluid to be measured and each sample curve is calculated, and the three-phase flow information of the sample curve corresponding to the maximum overlap value is determined as the three-phase flow information of the fluid to be measured.

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