SYSTEM AND METHOD FOR PASSIVE ACOUSTIC MONITORING OF FLUIDS AND SOLIDS IN PIPE FLOW

• US 20110301882A1
• Filed: 02/23/2010
• Published: 12/08/2011
• Est. Priority Date: 02/23/2009
• Status: Abandoned Application

• Current Assignee: Roxar Flow Measurement As
• Original Assignee: Roxar Flow Measurement As
• Inventors: Andersen, Morten Ivar
• Application Number:
  US13/202,158
• Publication Number:
  US 20110301882A1
• Time in Patent Office: Days
• US Class Current: 702/54
• CPC Class Codes: G01F 1/666 by detecting noise and sounds generated by the flowing fluid
• 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
• CPC Class Codes: G01H 3/08 Analysing frequencies present in complex vibrations, e.g. comparing harmonics present acoustic presence detection G01V1/001
• CPC Class Codes: G01M 3/243 for pipes
• CPC Class Codes: G01N 2291/02416 Solids in liquids
• CPC Class Codes: G01N 29/14 using acoustic emission techniques echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00
• CPC Class Codes: G01N 29/222 Constructional or flow details for analysing fluids optoacoustic fluid cells G01N29/2425
• CPC Class Codes: G01N 29/4454 Signal recognition, e.g. specific values or portions, signal events, signatures

Abstract

The invention relates to a system or method for measuring and analyzing acoustic signals from a pipe, e.g. from solid particles or cleaning pigs transported with fluid flow in a pipe, the method comprising the following steps: *registering acoustic signals generated in the pipe in at least one time window, *splitting the signals in a number of frequency bands, *processing the filtered signals to calculate characteristics of the fluid flow in a pipe, the characteristics including mean and deviation of the signal in each frequency band, the characteristics being indicative of possible events occurring in the pipe.

Claims

1. System for analyzing acoustic signals from a pipe or similar, the system comprising at least one acoustic sensor for registering acoustic signals generated in the pipe in at least two time windows, and processing means for processing the acoustic signals, the processing means for processing the signals is adapted to split the signals in at least two frequency bands, each covering a chosen frequency range by using signal processing wherein the processing means is adapted to calculate a set of characteristics for the signal within each of said frequency bands, the characteristics including frequency range of each of said frequency bands and mean value and deviation of the received signals at said frequency bands, the characteristics being indicative for possible events occurring in the pipe, and an analysis tool for analyzing the characteristics in said time windows and frequency bands for detecting said possible events.

2. System according to claim 1, wherein processing means is adapted to combine the calculated characteristics from a number of different frequency bands providing at least one characteristic signal representing a combined pass band.

3. System according to claim 1, also comprising a storage means and comparing means for comparing said calculated characteristics with in said storage a corresponding predetermined set of characteristics comprising characteristic signatures for a number of possible events occurring in the pipe.

4. System according to claim 1, wherein the predetermined set of characteristics comprises the characteristic signature of solid particles in a fluid flowing in said pipe.

5. System according to claim 1, wherein the predetermined set of characteristics comprises the characteristic signature of a pig moving inside said pipe.

6. System according to claim 1, wherein said set of characteristics are based on empirical data from previously registered acoustic signals from collisions between particles and a surface.

7. System according to claim 1, also comprising timing means coupled to said processing means, the processing means thus being adapted to perform said analysis during chosen time windows.

8. System according to claim 1, wherein said characteristics also include at least one of the following:

maximum level, minimum level, median level, nth order statistic and integrated power.

9. Method for analyzing acoustic signals from a pipe or similar, the method comprising the following steps:

registering acoustic signals generated in the pipe in at least two time windows,

splitting the signals in at least two frequency bands, each covering a chosen frequency range,

processing the filtered signals to calculate characteristics of the acoustic signal in each of said frequency bands, the characteristics including mean and deviation of the signal in each frequency band, the characteristics being indicative of possible events occurring in the pipe

and analyzing the characteristics in said time windows and frequency bands for detecting said possible events.

10. Method according to claim 9, comprising the step of combining at least one of the calculated characteristics from a number of frequency bands providing a combined processed signal or signal characteristic representing a combined pass band.

11. Method according to claim 9, comprising the step of comparing the calculated characteristics with a predetermined set of characteristics identifying certain incidents in the pipe.

12. Method according to claim 9, wherein the predetermined set of characteristics comprises the characteristic signature of solid particles in a fluid flowing in said pipe.

13. Method according to claim 9, wherein the predetermined set of characteristics comprises the characteristic signature of a pig moving inside said pipe.

14. Method according to claim 9, wherein said predetermined set of characteristics are based on empirical data from previously registered acoustic signals from collisions between particles and a surface and/or a pig.

15. Method according to claim 9, wherein the processing is performed in limited time periods so as to provide a measure in said number of frequency bands, each period lasting a number of time windows.

16. Method according to claim 9, wherein said characteristics also include at least one of the following:

maximum level, minimum level, median level, nth order statistic and integrated power.