Method and apparatus for the measurement of gas/liquid flow

• US 5,051,922 A
• Filed: 07/21/1989
• Issued: 09/24/1991
• Est. Priority Date: 07/21/1988
• Status: Expired due to Term

• Current Assignee: Haluk Toral
• Original Assignee: Haluk Toral
• Inventors: Toral, Haluk, Darwich, Tarek
• Primary Examiner(s): Lall, Parshotam S.
• Assistant Examiner(s): Melnick, S. A.
• Application Number:
  US07/382,980
• Time in Patent Office: 795 Days
• Field of Search: 364/510, 364/555, 73/861.04, 73/861.02
• US Class Current: 700/285
• CPC Class Codes: G01F 1/34 by measuring pressure or differential pressure
• CPC Class Codes: G01F 1/74 Devices for measuring flow of a fluid or flow of a fluent solid material in suspension in another fluid

Abstract

A method of determining flowrates of individual constituent phases of a flowing multiphase medium includes digitizing electrical output signals from multiple sensors which produce signals in response to fluctuating high frequency hydrodynamic and physical property characteristics of the flowing medium. The nethod also includes deriving from the signals a plurality of stochastic features in amplitude and frequency domains such as a standard deviation, a coefficient of skewness, a coefficient of kurtosis, and linear prediction coefficients. Feature vectors are compared with a corresponding calibration map stored in a memory as a database relating feature vectors uniquely to flowrates of the component phases of the medium. Using a pattern recognition technique a unique match is determined as a measure of the flowrates of the component phases of the medium.

Claims

1. A method of determining flowrates of individual phases of a flowing multiphase medium, comprising the steps of:

monitoring an electrical output signal from a detector which produces said output signal in response to one or more flow-related characteristics of said flowing multiphase medium;

deriving from said output signal a plurality of derived parameters selected from amplitude parameters, frequency parameters, or both amplitude and frequency parameters;

comparing each of said derived parameters with a corresponding calibration map relating that derived parameter to a range of possible flowrates of component phases of said flowing multiphase medium; and

,

determining as a measure of flowrates of component phases of said flowing multiphase medium, a unique flowrate, common to all of a plurality of calibration maps, which is uniquely related to said derived parameters, said unique flowrate representing a flowrate of an individual phase of said flowing multiphase medium.

2. A method as claimed in claim 1 wherein said determining step includes determination of gas and liquid flowrates in a two phase stream.

3. A method as claimed in claim 1 wherein flowrates are determined from parameters derived from a waveform of electrical signals related to an absolute pressure of said medium, differential pressure across radially and axially separated locations and a void fraction.

4. A method as claimed in claim 1 wherein electrical signals are obtained from transducers generating a high frequency waveform related to flow characteristics.

5. A method as claimed in claim 1 wherein upsteam and downstream influences are isolated and signal characteristics are enhanced.

6. A method as claimed in claim 5 wherein a uniquely configured measuring pipe equipped with flow mixers and sensors is employed.

7. A method as claimed in claim 1 wherein calibration maps are stored in a database in an electronic memory and sequential comparison of detector output with said calibration maps is effected by a data processor.

8. A method as claimed in claim 1 further including the following steps for obtaining a calibration map

(a) detecting a turbulence record of flow,

(b) reducing said turbulence record to a set of parameters by a mathematical model which characterize properties of said turbulence record in frequency and amplitude domains, and

(c) assembling a superficial velocity contour map of each parameter.

9. A method as claimed in claim 8 wherein said mathematical model in step (b) comprises a mathematical algorithm.

10. A method as claimed in claim 9 wherein said mathematical algorithm includes a speech-recognition-type algorithm.

11. A method as claimed in claim 1 wherein said amplitude parameters include standard deviation, coefficient of skewness and coefficient of kurtosis.

12. A method as claimed in claim 1 wherein said frequency parameters include linear prediction model (LPM) coefficients and a cepstrum function.

13. A method as claimed in claim 1 wherein comparison between measured and calibration parameters is effected by template matching.

14. A method as claimed in claim 1 wherein comparison between measured and calibration parameters is effected by a heuristic technique.