Selecting measurement correction methods

Abstract

A metrological electronic device (20) is provided for selecting a measurement calibration method. The metrological electronic device (20) includes an interface (501) and a processing system (502). The interface (501) is configured to communicatively couple to and receive sensor signals from the sensor assembly (10), and the processing system (502) is communicatively coupled to the interface (501). The processing system (502) is configured to: store two or more measurement calibration methods, wherein the two or more measurement calibration methods compensate for the multiphase effects of a multiphase fluid in the sensor assembly; determine one or more process parameter values; and select one of the two or more measurement calibration methods based on the one or more process parameter values.

Description

Technical Field

[0001] The embodiments described below relate to fluid characteristic measurements, and more specifically to the selection of measurement calibration methods. Background Technology

[0002] Vibration meters, such as Coriolis mass flow meters, liquid density meters, gas density meters, liquid viscosity meters, gas / liquid specific gravity meters, gas / liquid relative density meters, and gas molecular weight meters, are commonly known and used to measure the characteristics of fluids. Typically, a vibration meter comprises a sensor assembly and metering electronics. The material within the sensor assembly can be flowing or stationary. Vibration meters can be used to measure the mass flow rate, density, or other properties of the material within the sensor assembly.

[0003] Material flows into the vibration meter from the inlet side of the connecting pipe, is guided through the measuring conduit, and exits the vibration meter through the outlet side. The inherent vibration mode of the vibration system is partially defined by the combined mass of the measuring conduit and the material flowing within it.

[0004] When there is no flow through the vibratory meter, the driving force applied to the measuring conduit causes all points along the measuring conduit to oscillate with the same phase or a small “zero offset” oscillation, which is the time delay measured at zero flow. As material begins to flow through the vibratory meter, the Coriolis force causes each point along the measuring conduit to have a different phase. For example, the phase at the inlet of the vibratory meter lags behind the phase at the central drive position, while the phase at the outlet leads the phase at the central drive position. Pickoffs on the measuring conduit generate sinusoidal signals representing the motion of the measuring conduit. The signals output from the pickoffs are processed to determine the time delay between the pickoffs. The time delay between two or more pickoffs is proportional to the mass flow rate of the material flowing through the measuring conduit. Metering electronics connected to the drive generate drive signals to operate the drive and determine the mass flow rate and other characteristics of the material based on signals received from the pickoffs.

[0005] When multiphase flow is present, the mass flow rate determined based on the time delay may be incorrect. That is, the uncorrected mass flow rate value may not be an accurate measurement of the actual mass flow rate obtained by the vibration meter. Therefore, a measurement correction method can be used to determine a corrected mass flow rate value based on the uncorrected mass flow rate value. If this measurement correction method is suitable for multiphase fluids, the corrected mass flow rate value can be an accurate measurement of the actual mass flow rate obtained by the vibration meter. However, this measurement correction method may not be suitable for multiphase flow. As a result, the corrected mass flow rate value may not be an accurate measurement of the actual mass flow rate obtained by the vibration meter. Therefore, it is necessary to select a measurement correction method. Summary of the Invention

[0006] A metrological electronic device is provided for selecting a measurement calibration method. According to one embodiment, the metrological electronic device includes: an interface configured to communicatively couple to and receive sensor signals from a sensor assembly; and a processing system communicatively coupled to the interface. The processing system is configured to store two or more measurement calibration methods. The two or more measurement calibration methods compensate for multiphase effects of a multiphase fluid in the sensor assembly, determine one or more process parameter values, and select one of the two or more measurement calibration methods based on the one or more process parameter values.

[0007] A method for selecting a measurement calibration method is provided. According to one embodiment, the method includes storing two or more measurement calibration methods. The two or more measurement calibration methods compensate for multiphase effects in a multiphase fluid within a sensor assembly. The method further includes determining one or more process parameter values, and selecting one of the two or more measurement calibration methods based on the one or more process parameter values.

[0008] all aspects

[0009] According to one aspect, a metrology electronic device (20) for selecting a measurement calibration method includes: an interface (501) configured to communicatively couple to a sensor assembly (10) and receive sensor signals from the sensor assembly (10); and a processing system (502) communicatively coupled to the interface (501). The processing system (502) is configured to: store two or more measurement calibration methods, wherein the two or more measurement calibration methods compensate for multiphase effects of a multiphase fluid in the sensor assembly, determine one or more process parameter values, and select one of the two or more measurement calibration methods based on the one or more process parameter values.

[0010] Preferably, the processing system (502) is further configured to: determine fluid characteristic values ​​based on sensor signals, and correct the fluid characteristic values ​​using one of two or more measurement correction methods.

[0011] Preferably, the processing system (502) is configured to select one of two or more measurement correction methods based on one or more process parameter values, including: the processing system (502) is configured to select one of two or more measurement correction methods based on a comparison of one or more process parameter values ​​with corresponding reference values.

[0012] Preferably, the processing system (502) is configured to select one of two or more measurement correction methods based on a comparison of one or more process parameter values ​​with corresponding reference values, including: the processing system (502) is configured to select one of two or more measurement correction methods based on a combination of at least two of the comparisons.

[0013] Preferably, the processing system (502) is further configured to: detect and identify single-phase fluid flow based on one or more process parameter values, and determine the retention value type of single-phase fluid flow based on the identification of the single-phase fluid flow.

[0014] Preferably, the processing system (502) is configured to select one of two or more measurement correction methods based on fluid characteristics, including: the processing system (502) is configured to compare the hold value age of the fluid characteristics with the hold value time and select one of two or more measurement correction methods based on the comparison.

[0015] Preferably, the processing system (502) is further configured to simultaneously execute at least two of two or more measurement correction methods.

[0016] Preferably, one or more process parameter values ​​are at least one of drive gain value, density value, hold value type, hold value age, and pulse presence value.

[0017] According to one aspect, a method for selecting a measurement calibration method includes: storing two or more measurement calibration methods, wherein the two or more measurement calibration methods compensate for multiphase effects of a multiphase fluid in a sensor assembly; determining one or more process parameter values; and selecting one of the two or more measurement calibration methods based on the one or more process parameter values.

[0018] Preferably, the method further includes: determining fluid characteristic values ​​based on sensor signals, and correcting the fluid characteristic values ​​using one of two or more measurement correction methods.

[0019] Preferably, selecting one of two or more measurement correction methods based on one or more process parameter values ​​includes: selecting one of two or more measurement correction methods based on a comparison of one or more process parameter values ​​with corresponding reference values.

[0020] Preferably, selecting one of two or more measurement correction methods based on a comparison of one or more process parameter values ​​with corresponding reference values ​​includes: selecting one of two or more measurement correction methods based on a combination of at least two of the comparisons.

[0021] Preferably, the method further includes: detecting and identifying single-phase fluid flow based on one or more process parameter values; and determining the retention value type of the single-phase fluid flow based on the identification of the single-phase fluid flow.

[0022] Preferably, selecting one of two or more measurement correction methods based on fluid characteristics includes: comparing the retention age of the fluid characteristics with the retention time; and selecting one of two or more measurement correction methods based on the comparison.

[0023] Preferably, the method further includes simultaneously performing at least two of two or more measurement correction methods.

[0024] Preferably, one or more process parameter values ​​are at least one of drive gain value, density value, hold value type, hold value age, and pulse presence value. Attached Figure Description

[0025] In all the accompanying drawings, the same reference numerals denote the same elements. It should be understood that these drawings are not necessarily drawn to scale.

[0026] Figure 1 Vibration meter 5 is shown for selecting the measurement correction method.

[0027] Figure 2 A block diagram of the vibration meter 5 is shown, including a block diagram representation of the metering electronics 20.

[0028] Figure 3 and Figure 4 Graphs 300 and 400 are shown to depict the selection of measurement correction methods.

[0029] Figure 5A metrological electronic device 20 for selecting a measurement calibration method is shown.

[0030] Figure 6 A method 600 for selecting a measurement correction method is shown. Detailed Implementation

[0031] Figures 1 to 6 The following description depicts specific examples to teach those skilled in the art how to implement and use the best mode of the selective measurement correction method. For the purpose of teaching the principles of the invention, some conventional aspects have been simplified or omitted. Those skilled in the art will understand that variations from these examples fall within the scope of this specification. Those skilled in the art will understand that the features described below can be combined in various ways to form multiple variations of the selective measurement correction method. As a result, the embodiments described below are not limited to the specific examples described below, but are defined only by the claims and their equivalents.

[0032] Figure 1 Vibration meter 5 is shown for selecting the measurement correction method. (Example) Figure 1 As shown, the vibration meter 5 includes a sensor assembly 10 and metering electronics 20. The sensor assembly 10 responds to the mass flow rate and density of the process material. The metering electronics 20 is connected to the sensor assembly 10 via a lead 100 to provide density, mass flow rate, and temperature information, as well as other information, through port 26.

[0033] The sensor assembly 10 includes a pair of manifolds 150 and 150', flanges 103 and 103' with flange necks 110 and 110', a pair of parallel conduits 130 and 130', an actuator 180, a resistance temperature detector (RTD) 190, and a pair of pickup sensors 170l and 170r. Conduits 130 and 130' have two substantially straight inlet branches 131, 131' and outlet branches 134, 134', which converge toward each other at conduit mounting blocks 120 and 120'. Conduits 130 and 130' bend at two symmetrical locations along their length and are substantially parallel throughout their length. Stents 140 and 140' define axes W and W' about which each conduit 130 and 130' oscillates. Branches 131, 131' and 134, 134' of conduits 130, 130' are fixedly attached to conduit mounting blocks 120 and 120', and these blocks are in turn fixedly attached to manifolds 150 and 150'. This provides a continuously closed material path through sensor assembly 10.

[0034] When flanges 103 and 103' with orifices 102 and 102' are connected to a process line (not shown) carrying the process material being measured via inlet end 104 and outlet end 104', the material enters the meter's inlet end 104 through orifice 101 in flange 103 and is guided through manifold 150 to conduit mounting block 120 with surface 121. Within manifold 150, the material is separated and guided through 130, 130'. Upon exiting conduits 130, 130', the process material recombines into a single flow within block 120' with surface 121' and manifold 150', and is subsequently guided to the outlet end 104' of the process line (not shown) connected via flange 103' with orifice 102'.

[0035] Conduits 130 and 130' are selected and appropriately mounted to conduit mounting blocks 120 and 120' to have substantially the same mass distribution, moment of inertia, and Young's modulus with respect to bending axes W--W and W'--W', respectively. These bending axes pass through struts 140 and 140'. Since the Young's modulus of the conduit varies with temperature, and this variation affects the calculation of flow rate and density, an RTD 190 is mounted to conduit 130' to continuously measure the temperature of conduit 130'. The temperature of conduit 130', and therefore the voltage appearing across RTD 190 due to a given current flowing through it, is controlled by the temperature of the material flowing through conduit 130'. Metering electronics 20 uses the temperature-dependent voltage across RTD 190 in a known manner to compensate for any changes in the elastic modulus of conduits 130 and 130' due to variations in conduit temperature. RTD 190 is connected to metering electronics 20 via lead 195.

[0036] Both conduits 130 and 130' are driven by actuators 180 in opposite directions around their respective bending axes W and W' and in a first out-of-phase bending mode referred to as a flow meter. The actuator 180 may include any of many known arrangements, such as a magnet mounted to conduit 130' and a counter-coil mounted to conduit 130, with alternating current passing through the counter-coil to cause the two conduits 130 and 130' to vibrate. Metering electronics 20 apply a suitable drive signal 185 to the actuator 180 via leads.

[0037] The metering electronics 20 receives the RTD temperature signal on lead 195 and sensor signals 165, carrying left sensor signal 165l and right sensor signal 165r respectively, appearing on lead 100. The metering electronics 20 generates a drive signal 185 that appears on the lead to driver 180 and causes the conduits 130 and 130' to vibrate. The metering electronics 20 processes the left sensor signal 165l, right sensor signal 165r, and RTD signal 195 to calculate the mass flow rate and density of the material passing through sensor assembly 10. This information, along with other information, is applied as a signal by the metering electronics 20 onto path 26. A more detailed discussion of the metering electronics 20 follows.

[0038] Figure 2 A block diagram of the vibration meter 5 is shown, including a block diagram representation of the metering electronics 20. (See diagram for reference.) Figure 2 As shown, the metering electronics 20 is communicatively coupled to the sensor assembly 10. (Refer to the foregoing.) Figure 1 As described, the sensor assembly 10 includes a left pickup sensor 170l and a right pickup sensor 170r, a driver 180, and a temperature sensor 190, which are communicatively coupled to the metering electronics 20 via a communication channel 112 and a set of leads 100.

[0039] The metering electronics 20 provides a drive signal 185 via lead 100. More specifically, the metering electronics 20 provides the drive signal 185 to the driver 180 in the sensor assembly 10. Furthermore, sensor signal 165, including a left sensor signal 165l and a right sensor signal 165r, is provided by the sensor assembly 10. More specifically, in the illustrated embodiment, sensor signal 165 is provided by the left pickup sensor 170l and the right pickup sensor 170r in the sensor assembly 10. As will be understood, sensor signal 165 is provided to the metering electronics 20 via communication channel 112.

[0040] The metering electronics device 20 includes a processor 210 communicatively coupled to one or more signal processors 220 and one or more memories 230. The processor 210 is also communicatively coupled to a user interface 30. The processor 210 is communicatively coupled to a host computer via a communication port on port 26 and receives power via a power port 250. The processor 210 may be a microprocessor, but may employ any suitable processor. For example, the processor 210 may include subprocessors such as a multi-core processor, a serial communication port, a peripheral interface (e.g., a serial peripheral interface), on-chip memory, I / O ports, and / or other equivalents. In these and other embodiments, the processor 210 is configured to operate on received and processed signals, such as digitized signals.

[0041] Processor 210 can receive digitized sensor signals from one or more signal processors 220. Processor 210 is also configured to provide information such as phase difference, fluid characteristics in sensor assembly 10, etc. Processor 210 can provide this information to a host computer via a communication port. Processor 210 can also be configured to communicate with one or more memories 230 to receive information and / or store information in one or more memories 230. For example, processor 210 can receive calibration factors and / or sensor assembly zero points (e.g., phase difference in the presence of zero flow) from one or more memories 230. Each of the calibration factors and / or sensor assembly zero points can be associated with the vibration meter 5 and / or sensor assembly 10, respectively. Processor 210 can use the calibration factors to process the digitized sensor signals received from one or more signal processors 220.

[0042] One or more signal processors 220 are shown including an encoder / decoder (CODEC) 222 and an analog-to-digital converter (ADC) 226. The one or more signal processors 220 can condition analog signals, digitize conditionated analog signals, and / or provide digitized signals. CODEC 222 is configured to receive sensor signals 165 from a left pickup sensor 170l and a right pickup sensor 170r. CODEC 222 is also configured to provide drive signals 185 to a driver 180. In alternative embodiments, more or fewer signal processors may be used.

[0043] As shown, sensor signal 165 is provided to CODEC 222 via signal conditioner 240. Drive signal 185 is provided to driver 180 via signal conditioner 240. Although signal conditioner 240 is shown as a single block, it may include signal conditioning components such as two or more operational amplifiers, filters such as low-pass filters, voltage-to-current amplifiers, etc. For example, sensor signal 165 can be amplified by a first amplifier, and drive signal 185 can be amplified by a voltage-to-current amplifier. Amplification ensures that the amplitude of sensor signal 165 is close to the full-scale range of CODEC 222.

[0044] In the illustrated embodiment, one or more memories 230 include read-only memory (ROM) 232, random access memory (RAM) 234, and ferroelectric random access memory (FRAM) 236. However, in alternative embodiments, one or more memories 230 may include more or fewer memories. Additionally or alternatively, one or more memories 230 may include different types of memories (e.g., volatile memory, non-volatile memory, etc.). For example, different types of non-volatile memory, such as erasable programmable read-only memory (EPROM), may be used instead of FRAM 236. One or more memories 230 may be storage devices configured to store process data such as drive signals or sensor signals, mass flow rate or density measurement results, etc.

[0045] Mass flow rate measurement results It can be generated according to the following formula:

[0046]

[0047] The Δt term includes the operationally derived (i.e., measured) time delay value, which includes the time delay present between the picked-up sensor signals, for example, in cases where the time delay is due to the Coriolis effect related to the mass flow rate through the vibration meter 5. The measured Δt term ultimately determines the mass flow rate of the flowing material as it flows through the vibration meter 5. The Δt0 term includes the time delay / phase difference at zero flow calibration constant. The Δt0 term is typically determined at the factory and programmed into the vibration meter 5. The time delay / phase difference Δt0 term at zero flow will not change, even if the flow conditions change. The mass flow rate of the flowing material through the flow meter is determined by multiplying the measured time delay (or phase difference / frequency) by the flow calibration factor FCF. The flow calibration factor FCF is proportional to the physical stiffness of the flow meter.

[0048] Regarding density, the resonant frequency of the vibration of each conduit 130, 130' can be a function of the square root of the spring constant of the conduit 130, 130' divided by the total mass of the conduits 130, 130' containing the material. The total mass of the conduits 130, 130' containing the material can be the mass of the conduits 130, 130' plus the mass of the material inside the conduits 130, 130'. The mass of the material in the conduits 130, 130' is proportional to the density of the material. Therefore, the density of the material can be proportional to the square of the period of oscillation of the conduits 130, 130' containing the material multiplied by the spring constant of the conduits 130, 130'. Therefore, by determining the period of oscillation of the conduits 130, 130' and by appropriately scaling the result, an accurate measurement of the density of the material contained in the conduits 130, 130' can be obtained. The metering electronics 20 can determine the period or resonant frequency using sensor signal 165 and / or drive signal 185.

[0049] As discussed above, fluid characteristic values ​​of multiphase fluid flows, such as density and mass flow rate, may not be accurate measurements of the fluid characteristics of the multiphase flow. For example, the density value of the liquid phase in a multiphase fluid flow may not be an accurate measurement of the liquid phase density because the density value is based on measurements of both the liquid and gas phases of the multiphase fluid flow. Therefore, measurement correction methods can be used to correct the fluid flow characteristic values ​​of multiphase fluid flows.

[0050] However, the measurement correction method may need to be well-suited to multiphase fluid flows. Two or more measurement correction methods, each well-suited to a specific type of multiphase fluid flow, may be used. For example, a multiphase fluid flow may include a single-phase liquid fluidflow containing a liquid-gas phase mixture. Therefore, a measurement correction method that accurately measures the single-phase liquid fluid flow and then corrects for the fluid characteristics of the liquid-gas phase flow may be highly suitable. That is, the fluid characteristics of the liquid-gas phase flow can be ideally accurate (e.g., within specified tolerances). As explained in more detail below after discussing some exemplary measurement correction methods, measurement correction methods can be selected from two or more methods.

[0051] Exemplary measurement correction method

[0052] Various exemplary measurement correction methods are discussed below, but any suitable measurement correction method can be used. Measurement correction methods can compensate for multiphase effects of materials in sensor components. Measurement correction methods can be used to correct fluid characteristic values ​​of multiphase fluid flows (e.g., mixed liquid-gas flow), but these methods can be adapted to other multiphase fluid flows, such as multicomponent liquid flow composed of different fluids with different densities.

[0053] One measurement correction method can be a liquid phase measurement method suitable for multiphase flows including intermittent periods of single-phase liquid flow. During these intermittent periods, the single-phase liquid flow contains a mixture of liquid and gas. Due to the single-phase liquid flow during these intermittent periods, the peak or maximum density value is assumed to be the accurate fluid density measurement result. More specifically, during density measurement, the peak or maximum density value is assumed to be the liquid density value. The liquid density value can be used, for example, to correct for mass flow rate values, liquid volume values, etc. The liquid density value can also be used to estimate the gas volume fraction (GVF) of the multiphase flow.

[0054] Another measurement correction method can be a gas-phase measurement method suitable for multiphase flows with intermittent periods of single-phase gas flow. This intermittent single-phase gas flow is mixed with a mixed-phase fluid flow. Due to the single-phase gas flow during these intermittent periods, the gas mass flow rate can be determined. More specifically, during the period encompassing the mass flow rate measurements of both single-phase and multiphase flows, a minimum density value or a minimum / maximum density value is assumed to be the gas density value. The gas density value can be used to determine if the concurrent mass flow rate value is the gas mass flow rate value. The gas mass flow rate value can be used, for example, to correct the gas mass flow rate value, estimating the total liquid mass flow rate by subtracting the total gas mass flow rate from the total mass flow rate, etc. The liquid mass flow rate can be estimated by dividing the total liquid mass flow rate by the total measurement period.

[0055] The liquid phase and gas phase measurement methods described above can rely on intermittent single-phase flow. For example, as discussed above, liquid phase measurement methods rely on intermittent single-phase liquid flow to determine accurate liquid density values. However, such single-phase flow may not exist at a sufficient frequency and / or in a static state to ensure accurate liquid density values. More specifically, liquid phase measurement methods may only hold the liquid density value for a period of time, after which the liquid density value may be inaccurate. Other methods may be more suitable, such as those described below.

[0056] One exemplary approach is the process parameter correlation method. In this method, process parameters can be correlated with fluid flow characteristics. Process parameters can be any suitable process parameters, such as density, drive gain, temperature, pressure, pickup amplitude, pipe stiffness, and damping. Similarly, fluid flow characteristics can be any suitable fluid flow characteristics, such as the density and mass flow rate of the fluid flow. The correlation can be a table relating one or more process parameters and fluid flow characteristics. For example, density values ​​can be correlated with phase fraction values. These phase fraction values ​​can be used together with the mass flow rate values ​​of the fluid flow to determine other fluid characteristics, such as liquid mass flow rate values, density mass flow rate values, etc. Similarly, drive gain values ​​can be correlated with phase fraction values.

[0057] Another exemplary method is high-frequency slug analysis. Slug flow occurs when a single-phase gaseous fluid flow is mixed with a single-phase liquid fluid flow. These single-phase flows can be referred to as slugs. In high-frequency slug analysis, the sensor signal can be sampled at a relatively high sampling rate, provided that the characteristics of the sensor signal and / or the measurement results can be quantified. At a high sampling rate, the sensor signal and / or measurement results can have characteristics related to the slug's properties. For example, as the slug moves through the sensor assembly, it can cause a non-uniform distribution of liquid from the inlet to the outlet of the sensor assembly. This non-uniform distribution of the fluid can cause the aforementioned characteristics as the slug moves from the inlet to the outlet.

[0058] The amplitude, length, duration, and frequency of a slug can be determined based on characteristics of sensor signals and / or measurements. Amplitude is the degree to which the conduit is filled (e.g., whether it extends completely to the inner surface of the conduit). Length is the length of the conduit occupied by the slug. Duration is how long the slug remains in the conduit. Frequency is the frequency at which the pattern repeats. The combination of these aspects of a slug can be determined by characteristics in sensor signals and / or measurements (e.g., mass flow rate, density, drive gain, etc.). This combination of slug aspects is related to gas and liquid velocities, which allows for the resolution of slip. Slip is where the gas flows faster than the liquid. By quantifying slip and understanding the various aspects of the slug, fluid properties such as mass flow rate, density, etc., can be determined.

[0059] As you will understand, the exemplary measurement correction methods described above may not be exhaustive. That is, other measurement correction methods may be used in addition to or as alternatives to the methods described above. Therefore, as illustrated in the discussion below, one of the aforementioned and / or other measurement correction methods may be selected.

[0060] Exemplary selection

[0061] The selection of a measurement correction method from two or more methods can be based on one or more process parameter values. For example, density can be used to determine whether a multiphase fluid flow is primarily liquid or primarily gaseous. Therefore, the selected measurement correction method can be adapted to the dominant phase of the multiphase fluid flow.

[0062] Therefore, detecting single-phase flow can be a prerequisite for selecting a measurement correction method. For example, if single-phase flow is not yet present, gas-phase and liquid-phase measurement methods may be unsuitable. If single-phase flow is detected, gas-phase and liquid-phase measurement methods may be suitable. A suitable measurement correction method is one that can provide accurate measurement results of the fluid characteristics of the fluid flow.

[0063] A prerequisite for selecting a measurement calibration method can also be the time elapsed since the most recent detection of single-phase flow (referred to as the "non-single-phase flow elapsed time" or "holding value age"). For example, if single-phase flow is present and the holding value age is less than the fluid characteristic holding time, a gas-phase or liquid-phase measurement method may be suitable. Alternatively, if the holding value age is greater than the fluid characteristic holding time, a gas-phase or liquid-phase measurement method may be unsuitable.

[0064] Single-phase flow can be detected by a drive gain value less than the single-phase drive gain threshold. Therefore, the time since the most recent detection of single-phase flow can be defined as the time elapsed since the drive gain value exceeded the single-phase drive gain threshold and remained substantially continuously greater than the single-phase drive gain threshold. That is, the non-single-phase elapsed time can be the time during which the drive gain is greater than the single-phase drive gain threshold. However, the measurement period for multiphase fluid flow can begin with a liquid-gas mixture.

[0065] Therefore, a prerequisite for selecting a measurement correction method can also be the absence of detected single-phase flow. For example, the prerequisite could be that single-phase fluid flow is not detected, and until it is detected, single-phase dependent methods such as the gas-phase or liquid-phase measurement methods discussed above will not be selected. Alternatively, another method that does not depend on accurate liquid density or gas mass flow rate values ​​can be selected until single-phase flow is detected. Correction methods that do not depend on accurate single-phase fluid characteristic values ​​can be called single-phase independent correction methods.

[0066] As discussed above, during the hold-up time, fluid characteristic values ​​can be used as hold-up values ​​by gas-phase or liquid-phase measurement methods. The hold-up time can be predetermined based on process conditions, etc. The hold-up time can reflect an accurate estimate of the hold-up value. Therefore, for any measurement correction performed after the hold-up time, a single-phase-independent correction method can be used. For example, if the non-single-phase elapsed time is longer than the hold-up time, the process parameter correlation method described above can be used.

[0067] Determining the hold value type can also be a prerequisite. The hold value type can be an identifier for a single-phase fluid flow. For example, the hold value type could be "gas" or "liquid," but any suitable label can be used. The hold value type indicates whether the single-phase fluid flow is identified as a gas or a liquid. This value can be used to determine whether a gas-phase measurement method or a liquid-phase measurement method is used as the measurement correction method. For example, since the single-phase fluid flow is identified as a liquid-phase fluid flow, the fluid flow can be assumed to be primarily a liquid-phase fluid flow, because a primarily gas-phase fluid flow is unlikely to have a liquid-phase fluid flow.

[0068] One or more process parameter values ​​can be used to detect single-phase fluid flow and / or identify single-phase fluid flow as a gas or liquid fluid flow. For example, drive gain can be used to detect single-phase fluid flow. More specifically, if the drive gain value is less than a single-phase drive gain threshold for the detection period, the fluid flow can be a single-phase fluid flow because a mixed-phase flow may have an oscillating drive gain due to the varying density of the fluid flow. Additionally or alternatively, density values ​​can be used to detect single-phase fluid flow and / or identify single-phase fluid flow as a liquid or gas fluid flow. In one example, a gas fluid flow can be identified when the drive gain value is less than a single-phase drive gain threshold and the density value is less than a gas density threshold.

[0069] Regardless of whether a single-phase fluid flow is detected and / or identified, the above-described method or other methods can be selected based on one or more process parameter values. For example, if the drive gain value is greater than a selection threshold and the non-single-phase flow time is greater than the fluid characteristic value hold time, a single-phase-independent method can be used. In another example, if the drive gain value is greater than a selection threshold and the non-single-phase flow time is less than the fluid characteristic value hold time, and the hold value type is equal to "gas", a gas phase measurement method can be used.

[0070] Exemplary Algorithm

[0071] As explained above, detecting and / or identifying single-phase fluid flow can be a prerequisite for selecting a measurement correction method. Single-phase fluid flow can be detected by comparing the driving gain value to a single-phase driving gain threshold. Additionally, single-phase fluid flow can be identified by comparing the density value of the detected single-phase fluid flow to a liquid-phase driving gain threshold and / or a gas-phase driving gain threshold. It will be understood that as long as the single-phase fluid flow remains detectable by, for example, a driving gain less than a single-phase driving gain threshold, correction of the fluid characteristic values ​​is not required. The algorithm can repeatedly detect single-phase fluid flow until a mixed-phase fluid flow appears.

[0072] When a single-phase fluid flow is detected, the algorithm can also store fluid characteristic values ​​as hold values. For example, the density value of a single-phase fluid flow identified as a liquid-phase flow can be stored. The algorithm can also store the identified fluid flow as a hold value type. For example, in the case where a single-phase fluid flow is identified as a liquid-phase flow, the hold value type can be "liquid" or something indicating that the single-phase fluid flow is a liquid-phase flow. The algorithm can also store hold value time, which can indicate the duration for which the hold value can be an accurate measurement of the fluid characteristic.

[0073] If a mixed-phase fluid flow is present, the driving gain value may not be less than the single-phase driving gain threshold. Therefore, if the driving gain value is greater than the single-phase driving gain threshold, the algorithm can detect the mixed-phase fluid flow. If the driving gain value is greater than the single-phase driving gain threshold, the algorithm can select a measurement correction method and correct the fluid characteristic values ​​determined simultaneously with the detection of the mixed-phase fluid flow. For example, the algorithm can determine the fluid characteristic values ​​based on sensor signals and correct the fluid characteristic values ​​using one of two or more measurement methods.

[0074] The measurement correction method to be used can be selected based on comparisons of one or more process parameter values ​​with corresponding reference values. One or more process parameter values ​​may include, for example, drive gain values, hold type, characteristics of the signal and measurement results, and / or non-single-fluid flow duration, but any suitable process parameter value can be used. Comparisons can be numerical relationships (e.g., greater than, less than, or equal to), selection comparisons (e.g., hold type is "liquid" or "gas"), Boolean comparisons (e.g., pulsation detected or no pulsation detected), etc. Various combinations of the above comparisons can be used in the algorithm. An exemplary algorithm is shown below.

[0075] If (drive gain < single-phase drive gain threshold)

[0076] If (density value > liquid density threshold)

[0077] {Set the retain value type to "liquid"}

[0078] {Save density values ​​as liquid density values}

[0079] Otherwise (density value < gas density threshold)

[0080] {Set the retention value type to "Gas"}

[0081] {Save the mass flow rate value as a gas mass flow rate value}

[0082] Otherwise (drive gain > non-single-phase drive gain threshold)

[0083] And (retention value type = gas)

[0084] And (the age at which the value is maintained is less than the age limit for maintaining the value)

[0085] And (pulsation = false)

[0086] {Using gas phase measurement methods}

[0087] Otherwise (drive gain > non-single-phase drive gain threshold)

[0088] And (Retention value type = Liquid)

[0089] And (the age at which the value is maintained is less than the age limit for maintaining the value)

[0090] And (pulsation = false)

[0091] {Using liquid phase measurement methods}

[0092] Otherwise (drive gain > non-single-phase drive gain threshold)

[0093] And (the age at which the value is maintained is greater than the age limit for maintaining the value)

[0094] And (pulsation = false)

[0095] {Using the driving gain and density correlation method}

[0096] Otherwise (drive gain > single-phase drive gain threshold)

[0097] And (the age for maintaining the value > the age limit for maintaining the value)

[0098] And (pulsation = true)

[0099] {Using high-frequency slug analysis}

[0100] As can be seen, the exemplary algorithm detects whether a fluid flow is single-phase by comparing the drive gain with a single-phase drive gain threshold, and identifies the detected single-phase fluid flow as either a gaseous or liquid fluid flow based on a comparison of the density value with liquid and gas density thresholds. After detecting and identifying a single-phase fluid flow, the algorithm stores the fluid characteristic values ​​as hold values ​​and the identified fluid flow as a hold value type. The algorithm can repeat these steps until the drive gain value is greater than the single-phase drive gain threshold.

[0101] If the drive gain value is greater than the single-phase drive gain threshold, the additional process parameter value is compared with the reference value. For example, if the hold value type is "gas", the hold value age is less than the hold value age limit, and the pulsation is "false", then a gas phase measurement method can be selected. In another instance, if the hold value age is greater than the hold value age limit and the pulsation is true, then high-frequency band plug analysis can be selected.

[0102] A graph showing the selection of measurement calibration methods

[0103] Figure 3 and Figure 4 Graphs 300 and 400 are shown depicting the process parameter values ​​when the measurement correction method is used. For example... Figure 3 As shown, graph 300 includes a days axis 310, a density axis 320, and a drive gain axis 330. The days axis 310 is in units of days, with each week represented by "W," followed by numbers starting with "1." Each scale line represents one day. The density axis 320 is in units of grams per cubic centimeter (g / cc), and the drive gain axis 330 is unitless. Graph 300 also includes a density curve 340 and a drive gain curve 350. Figure 4 As shown, graph 400 includes a days axis 410, a mass flow rate axis 420, and an uncorrected mass flow rate axis 430. The days axis 410 is in days, with each week indicated by "W" followed by numbers starting with "1". Each scale mark represents one day. The mass flow rate axis 420 and the uncorrected mass flow rate axis 430 are in kilograms per second (kg / sec). Graph 400 also includes a mass flow rate curve 440 and an uncorrected mass flow rate curve 450. Mass flow rate curve 440 represents the corrected mass flow rate, while uncorrected mass flow rate curve 450 represents the uncorrected mass flow rate.

[0104] Reference Figure 3In the days following W1 to W8, the drive gain curve 350 is typically around 100%. The drive gain curve 350 indicates that shortly after W1 to W8, the fluid flow is primarily a mixed-phase flow; that is, the fluid flow is a mixture of gas and liquid. It can also be seen that before W1, the drive gain curve 350 is not less than 10%. As a result, according to the algorithm described above, hold-up values ​​are not stored. Therefore, drive gain and density correlation methods or high-frequency plug analysis can be used. Density values ​​are also not stored as hold-up values.

[0105] The density curve 340 is approximately 0.15 g / cc throughout the entire number of days, until it exhibits intermittent spikes in both the positive and negative directions between W8 and W9. For example, shortly after W2, the density curve 340 has a spike increasing to approximately 0.25 g / cc. This spike corresponds to a negative spike in the drive gain curve 350. More specifically, the drive gain curve 350 decreases from approximately 100% to approximately 8%. This value can be less than, for example, a single-phase drive gain threshold of approximately 10%. Therefore, the density value of the spike in the density curve 340 can represent a single-phase fluid flow, or more specifically, a single-phase liquid fluid flow.

[0106] Around day 2.5 of W8, the drive gain curve 350 decreases from approximately 100% to less than 10%. Subsequently, a positive spike up to 100% is observed, but in other cases, the drive gain curve 350 is typically less than 10%. Additionally, the density curve 340 decreases to approximately 0.3 g / cc. Similarly, a density curve 340 of approximately 0.3 g / cc can be less than a gas density threshold such as 0.5 g / cc. Therefore, the fluid flow can be primarily a single-phase gas flow with an intermittent mixed-phase fluid flow occurring simultaneously with the positive spike in the density curve 340. As a result, according to the algorithm described above, the mass flow rate value of the mass flow rate curve 440 can be stored as a hold value, the value "gas" can be stored as a hold value type, and the hold value age can begin from approximately day 2.5 of W8. The algorithm can also select a gas phase measurement method as the measurement correction method.

[0107] exist Figure 4 In this study, a gas measurement correction method can be used to determine the mass flow rate curve 440. Between W1 and W8, the fluid flow is primarily a wet gas flow, with several periods of single-phase liquid flow at W3, W5, and W6. During the single-phase liquid flow, the mass flow rate curve 440 is larger than the uncorrected mass flow rate curve 450. This may be because the uncorrected mass flow rate curve 450 is corrected with an incorrect void fraction ratio. A corrected mass flow rate value would be more accurate if a process parameter correlation method were used.

[0108] Metrological electronic equipment for selecting measurement calibration methods

[0109] Figure 5 A metrological electronic device 20 for selecting a measurement calibration method is shown. For example... Figure 5 As shown, the metering electronics 20 includes an interface 501 and a processing system 502. The metering electronics 20 receives vibration responses from, for example, a sensor assembly 10. The metering electronics 20 processes the vibration responses to obtain the flow characteristics of the material flowing through the sensor assembly 10.

[0110] Interface 501 can be accessed from Figure 1 and Figure 2 One of the pickup sensors 170l and 170r shown receives sensor signal 165. Interface 501 can perform any necessary or desired signal conditioning, such as formatting, amplification, buffering, etc., in any manner. Alternatively, some or all of the signal conditioning can be performed in processing system 502. Additionally, interface 501 enables communication between the metering electronics 20 and external devices. Interface 501 is capable of any form of electronic, optical, or wireless communication. Interface 501 can provide information based on vibration response. Interface 501 can communicate with digital devices, such as… Figure 2 The CODEC222 shown is coupled in a configuration where the sensor signal includes an analog sensor signal. The digitizing device samples the analog sensor signal and digitizes it, generating a digitized sensor signal.

[0111] The processing system 502 operates the metering electronic device 20 and processes the flow measurement results from the sensor assembly 10. The processing system 502 executes one or more processing routines and thereby processes the flow measurement results to generate one or more flow characteristics. The processing system 502 is communicatively coupled to the interface 501 and configured to receive information from the interface 501.

[0112] Processing system 502 may include a general-purpose computer, a microprocessor system, logic circuits, or some other general-purpose or custom-designed processing device. Additionally or alternatively, processing system 502 may be distributed among multiple processing devices. Processing system 502 may also include any integrated or separate electronic storage medium, such as storage system 504.

[0113] The storage system 504 can store flow meter parameters and data, software routines, constant values, and variable values. In one embodiment, the storage system 504 includes routines executed by the processing system 502, such as the operating routine 510 and compensation routine 520 of the vibration meter 5. The storage system can also store statistical values, such as standard deviation, confidence intervals, etc.

[0114] Operating routine 510 can determine one or more process parameter 512 values ​​and fluid characteristic 514 values ​​based on sensor signals received via interface 501. Process parameter 512 can include any value characterizing the process involved in the fluid flow. For example, process parameter 512 can include drive gain values, resonant frequency values, vibration amplitude values, density values, mass flow rate values, calibration values, etc. Fluid characteristic 514 can include values ​​that are measurements of characteristics of the fluid flow. For example, fluid characteristic 514 can include density values, mass flow rate values, volumetric flow rate values, etc.

[0115] Process parameter 512 can be compared with reference value 516 to determine which measurement correction method to select and the type of single-phase fluid flow to detect and determine. For example, reference value 516 may include a single-phase drive gain threshold, which can be used to detect single-phase fluid flow when the drive gain value is less than the single-phase drive gain threshold. Reference value 516 may also include a value type reference, such as "gas" or "liquid". Reference value 516 may also include a retention value age limit.

[0116] Reference value 516 can be any suitable value type, such as Boolean, numerical, list, etc. Therefore, compensation routine 520 can determine whether one or more process parameter values ​​are less than, greater than, or equal to the corresponding reference value. As discussed above, a measurement correction method can be selected based on a combination of at least two comparisons. For example, according to the algorithm described above, a gas measurement method can be selected based on the following combination: drive gain greater than a non-single-flow drive gain threshold, hold value type "gas", hold value age less than a hold value age limit, and pulsation is false.

[0117] The compensation routine 520 can correct fluid characteristic values ​​such as mass flow rate or density. For example, as will be described in more detail below, the compensation routine 520 can store two or more measurement correction methods and select one of these methods based on one or more process parameters 512. Therefore, the processing system 502 can be configured to store two or more measurement correction methods.

[0118] like Figure 5 As shown, the processing system 502 stores liquid measurement method 522, gas measurement method 524, correlation method 526, and slug analysis method 528. Liquid measurement method 522 and gas measurement method 524 may be the same as or similar to the liquid measurement method and gas measurement method described above, respectively. Correlation method 526 and slug analysis method 528 may be the same as or similar to the process parameter correlation method and high-frequency slug analysis method described above, respectively.

[0119] The compensation routine 520 can select one of two or more measurement correction methods based on one or more process parameter values ​​in various ways. For example, the compensation routine 520 can select one of two or more measurement correction methods based on a comparison of one or more process parameter values ​​with corresponding reference values ​​(such as reference value 516 described above). The compensation routine 520 also determines any prerequisites for selecting the measurement correction method.

[0120] For example, compensation routine 520 can detect and identify a single-phase fluid flow based on one or more process parameter values, determine the fluid characteristics of the single-phase fluid flow, and select one of two or more measurement correction methods based on the fluid characteristics. Therefore, compensation routine 520 can store the identified single-phase fluid flow as a hold value type. For example, if compensation routine 520 detects and identifies a single-phase liquid fluid flow, it can store "liquid" as a hold value type. Compensation routine 520 can also store density values ​​as liquid density values. That is, the density value can be assumed to be an accurate measurement result of the liquid fluid flow.

[0121] The compensation routine 520 can also correct fluid characteristic values, such as uncorrected measurement result 542, to corrected measurement result 544. Uncorrected measurement result 542 and corrected measurement result 544 can be values ​​of material parameters measured by the vibration meter 5. These parameters can be any suitable parameter, such as density, mass flow rate, or any obtained value, such as porosity percentage, mixture or mixture component density, etc. Uncorrected measurement result 542 can be, for example, a mass flow rate value similar to, the mass flow rate value of the uncorrected mass flow rate curve 450 described above. Corrected measurement result can be, for example, a mass flow rate value similar to, the mass flow rate value of the mass flow rate curve 440.

[0122] Compensation routine 520 can also execute two or more correction methods simultaneously and select the value output by one of the measurement correction methods. For example, compensation routine 520 can simultaneously execute liquid measurement method 522, gas measurement method 524, correlation method 526, and / or slug analysis method 528, and output the value provided by the selected method. For example, refer to the description above. Figure 4 Gas measurement method 524 and related method 526 can be performed simultaneously, but the value determined by related method 526 can be provided before the 2.5th day of W8, and the value determined by gas measurement method 524 can be provided after the 2.5th day of W8. Providing may mean providing fluid characteristic values ​​via interface 501 or port 26, but any suitable means may be used.

[0123] Figure 5The diagram also shows hold value data 530, which may include hold value time 532 and hold value type 534. As discussed above, hold value time 532 can be set as the time period during which fluid characteristic values ​​can be used as hold values ​​by gas-phase or liquid-phase measurement methods. Hold value time 532 can reflect the accurate estimated time of the hold value. Hold value type 534 can be an identifier of a single-phase fluid flow. For example, hold value type 534 can be "gas" or "liquid," but any suitable label can be used. Hold value type 534 can indicate that a single-phase fluid flow is identified as a gas or a liquid.

[0124] The processing system 502 can therefore provide calibrated measurement results. For example... Figure 5 As shown, the processing system 502 includes measurement results 540, which includes an uncorrected measurement result 542 and a corrected measurement result 544. Measurement results 540 may include fluid characteristic values. The processing system 502 can determine the uncorrected measurement result 542 and store it when it is determined. The processing system 502 can select a suitable measurement correction method to determine the corrected measurement result 544. The processing system 502 can accordingly execute methods for selecting measurement correction methods, such as the exemplary methods discussed below.

[0125] Method for selecting measurement calibration methods

[0126] Figure 6 A method 600 for selecting a measurement correction method is shown. For example... Figure 6 As shown, method 600 begins in step 610 by storing two or more measurement correction methods. Method 600 can be performed by the vibration meter 5 and metering electronics 20 described above, but any suitable vibration meter and / or metering electronics can be used. In step 620, method 600 determines one or more process parameter values. In step 630, method 600 selects one of the two or more measurement correction methods based on one or more process parameter values.

[0127] Method 600 may store one or more measurement correction methods in, for example, the processing system 502 described above, but may employ any suitable storage device. Process parameter values ​​may include drive gain, density value, pulse presence value, etc., but may employ any suitable values.

[0128] In step 630, method 600 may select one of two or more measurement correction methods based on a comparison of one or more process parameter values ​​with corresponding reference values. For example, method 600 may determine whether one or more process parameter values ​​are less than, greater than, or equal to the corresponding reference values. Method 600 may also select one of two or more measurement correction methods based on a combination of at least two comparisons.

[0129] Before selecting one of two or more measurement correction methods, method 600 may perform some prerequisites. For example, method 600 may detect and identify single-phase fluid flow based on one or more process parameter values ​​and determine the retention type of the single-phase fluid flow based on the identification of the single-phase fluid flow. Therefore, method 600 may also compare the retention age of the fluid property with the retention time and select one of two or more measurement correction methods based on this comparison.

[0130] The vibration meter 5, the metering electronics 20, and the method 600 described above can select a measurement correction method based on one or more process parameters. As a result, the selected measurement correction method can be more suitable for the fluid flow. That is, the fluid characteristic values ​​provided by the vibration meter 5, the metering electronics 20, and the method 600 can be more accurate. For example, even if a multiphase fluid flow begins with a period of single-phase liquid flow, the mass flow rate value provided by the metering electronics 20 can still be an accurate mass flow rate measurement result for the multiphase fluid flow because a liquid measurement method is selected instead of a gas measurement method.

[0131] The detailed description of the above embodiments is not an exhaustive description of all embodiments that the inventors have contemplated falling within the scope of this specification. In fact, those skilled in the art will recognize that certain elements of the above embodiments can be combined or eliminated differently to create other embodiments, and such other embodiments fall within the scope and teachings of this specification. It will be apparent to those skilled in the art that the above embodiments can be combined, in whole or in part, to create additional embodiments within the scope and teachings of this specification.

[0132] Therefore, although specific embodiments have been described herein for illustrative purposes, various equivalent modifications can be made within the scope of this specification, as will be recognized by those skilled in the art. The teachings provided herein can be applied to other metrological electronic devices, vibration meters, and methods for selecting measurement calibration methods, and not only to the embodiments described above and shown in the accompanying drawings. Therefore, the scope of the embodiments described above should be determined in accordance with the appended claims.

Claims

1. A metrological electronic device (20) for selecting a measurement calibration method, the metrological electronic device (20) comprising: An interface (501) is configured to communicatively couple to the sensor assembly (10) and receive sensor signals from the sensor assembly (10); as well as Processing system (502), communicatively coupled to the interface (501), the processing system (502) is configured to: The system stores two or more measurement correction methods, wherein the two or more measurement correction methods compensate for the multiphase effects of the multiphase fluid in the sensor assembly; Determine one or more process parameter values, said one or more process parameter values ​​being related to fluid flow characteristics; as well as One of the two or more measurement correction methods is selected based on the one or more process parameter values.

2. The metrology electronic device (20) of claim 1, wherein, The processing system (502) is further configured to: The fluid characteristic values ​​are determined based on the sensor signals; and The fluid characteristic value is corrected using one of the two or more measurement correction methods selected from the above.

3. The metrology electronics (20) of claim 1 or 2, wherein The processing system (502) is configured to select one of the two or more measurement correction methods based on the one or more process parameter values, including: the processing system (502) is configured to select one of the two or more measurement correction methods based on a comparison of the one or more process parameter values ​​with corresponding reference values.

4. The metering electronic device (20) according to claim 3, wherein, The processing system (502) is configured to select one of the two or more measurement correction methods based on a comparison of one or more process parameter values ​​with corresponding reference values. This includes the processing system (502) being configured to select one of the two or more measurement correction methods based on a combination of at least two of the comparisons.

5. The metering electronic device (20) according to claim 1 or 2, wherein, The processing system (502) is further configured to: Detecting and identifying single-phase fluid flow based on one or more process parameter values; and The type of retention value of the single-phase fluid flow is determined based on the identification of the single-phase fluid flow, wherein the retention value includes fluid characteristic values.

6. The metering electronic device (20) according to claim 1 or 2, wherein, The processing system (502) is configured to select one of the two or more measurement correction methods based on fluid characteristics. The measurement correction method includes: the processing system (502) is configured to: The age of the retention value of the fluid property is compared with the retention time, wherein the retention time includes the retention value being an accurate estimate of the time; and Based on the comparison, one of the two or more measurement correction methods is selected.

7. The metering electronic device (20) according to claim 1 or 2, wherein, The processing system (502) is also configured to simultaneously execute at least two of the two or more measurement correction methods.

8. The metering electronic device (20) according to claim 1 or 2, wherein, The one or more process parameter values ​​are at least one of drive gain value, density value, type of hold value, age of hold value, and pulse presence value, wherein the hold value includes fluid characteristic values.

9. A method for selecting a measurement calibration method, the method comprising: The system stores two or more measurement correction methods, wherein the two or more measurement correction methods compensate for the multiphase effects of multiphase fluids in the sensor assembly; Determine one or more process parameter values, said one or more process parameter values ​​being related to fluid flow characteristics; and One of the two or more measurement correction methods is selected based on the one or more process parameter values.

10. The method of claim 9, further comprising: Fluid characteristic values ​​are determined based on sensor signals from the sensor assembly; as well as The fluid characteristic value is corrected using one of the two or more measurement correction methods selected from the above.

11. The method according to claim 9 or 10, wherein, Selecting one of the two or more measurement correction methods based on one or more process parameter values ​​includes: selecting one of the two or more measurement correction methods based on a comparison of one or more process parameter values ​​with corresponding reference values.

12. The method according to claim 11, wherein, Selecting one of the two or more measurement correction methods based on a comparison of one or more process parameter values ​​with corresponding reference values ​​includes: selecting one of the two or more measurement correction methods based on a combination of at least two comparisons.

13. The method according to claim 9 or 10, further comprising: Single-phase fluid flow is detected and identified based on one or more process parameter values; as well as The type of retention value of the single-phase fluid flow is determined based on the identification of the single-phase fluid flow, wherein the retention value includes fluid characteristic values.

14. The method according to claim 9 or 10, wherein, Selecting one of the two or more measurement correction methods based on fluid characteristics includes: The age of the retention value of the fluid property is compared with the retention time, wherein the retention time includes the retention value being an accurate estimate of the time; and Based on the comparison, one of the two or more measurement correction methods is selected.

15. The method according to claim 9 or 10, further comprising simultaneously performing at least two of the two or more measurement correction methods.

16. The method according to claim 9 or 10, wherein, The one or more process parameter values ​​are at least one of drive gain value, density value, type of hold value, age of hold value, and pulse presence value, wherein the hold value includes fluid characteristic values.

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