CA3048286A1 - Pipeline and equipment dynamic monitoring system and method therefor - Google Patents
Pipeline and equipment dynamic monitoring system and method therefor Download PDFInfo
- Publication number
- CA3048286A1 CA3048286A1 CA3048286A CA3048286A CA3048286A1 CA 3048286 A1 CA3048286 A1 CA 3048286A1 CA 3048286 A CA3048286 A CA 3048286A CA 3048286 A CA3048286 A CA 3048286A CA 3048286 A1 CA3048286 A1 CA 3048286A1
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- CA
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- Prior art keywords
- vibration
- network system
- analyzed
- location
- vibration signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F1/00—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow
- G01F1/05—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using mechanical effects
- G01F1/20—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by using mechanical effects by detection of dynamic effects of the flow
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16L—PIPES; JOINTS OR FITTINGS FOR PIPES; SUPPORTS FOR PIPES, CABLES OR PROTECTIVE TUBING; MEANS FOR THERMAL INSULATION IN GENERAL
- F16L55/00—Devices or appurtenances for use in, or in connection with, pipes or pipe systems
- F16L55/26—Pigs or moles, i.e. devices movable in a pipe or conduit with or without self-contained propulsion means
- F16L55/48—Indicating the position of the pig or mole in the pipe or conduit
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D3/00—Arrangements for supervising or controlling working operations
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M3/00—Investigating fluid-tightness of structures
- G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
- G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
- G01M3/24—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations
- G01M3/243—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations for pipes
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16L—PIPES; JOINTS OR FITTINGS FOR PIPES; SUPPORTS FOR PIPES, CABLES OR PROTECTIVE TUBING; MEANS FOR THERMAL INSULATION IN GENERAL
- F16L2101/00—Uses or applications of pigs or moles
- F16L2101/30—Inspecting, measuring or testing
Abstract
A vibration-analysis based system and methods for analyzing pipeline flow dynamics, pipeline integrity and equipment predictive maintenance measures obtained from an integrated vibration array detection, data transmission, network server data processing, database management, patterns learning, patterns recognition and user interface. The system disclosed herein may be used for fatigue stress induced cracking, liquid slugging detection, geohazard monitoring, transient monitoring, pigging progress tracking and pig location tracking, volumetric evaluations, equipment failure analysis and predictive maintenance
Description
PIPELINE AND EQUIPMENT DYNAMIC MONITORING SYSTEM AND
METHOD THEREFOR
FIELD OF THE DISCLOSURE
The present disclosure relates generally to vibration sensing-analysis systems and methods, and in particular, to systems and methods for analyzing pipeline flow dynamics, pipeline integrity and equipment predictive maintenance measures obtained from an integrated vibration array detection, data transmission, network server data processing, database management, machine learning and user interface systems.
BACKGROUND
Pipeline systems including key equipment like pumps and compressors are utilized in oil and gas transportation, water, chemical, refined product transportation, storage and various processing facilities and industries.
Pipeline related systems in general face reliability issues related to line rupture or equipment damages triggered by several reasons, including equipment vibrations, internal and external stress, displacements, movements, geohazards and ground motions.
The pipeline and equipment reliability issues caused by various reasons are difficult to detect prior to the failures, mainly due to the variations of causes or variations of failure mechanism, and due to lack of early indicator information.
Therefore, in many occasions the pipeline and equipment failures situations are unpredictable, and mostly handled by after-the-fact reactions, where clean-ups, repairs and replacement are performed after the incidents of line leak through cracks, line ruptures or equipment failures and damages.
SUMMARY
According to one aspect of this disclosure, there is provided a vibration-based pipeline and equipment dynamic monitoring system. The dynamic monitoring system comprises: an array of broadband vibration sensing nodes for detecting vibration and outputting broadband vibration digital signals; a wired or wireless network system to communicate the nodal digital signals; a data-processing software computing module located locally or remotely; a database server or cloud storage, and an access interface for local and remote viewing, data analysis, and remote control.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a schematic diagram of a communication system network, according to some embodiments of the present disclosure;
FIG. 2 shows a pipeline sensing arrangement to identify pipeline slug, with calculation of arrival time to compression processing facility;
FIG. 3 shows a vibration pattern recognition to match flow volumetric characters DETAILED DESCRIPTION
Embodiments herein disclose a vibration-analysis system having one or more server computers, one or more client-computing devices, and one or more vibration-detection units, all functionally connected via a network. The one or more vibration-detection units may be deployed in a site for detection of vibrations. The detected vibration data are sent to the one or more server computers for vibration analysis.
In some embodiments, the vibration-analysis system also comprises one or more data hubs, each functionally coupled to one or more vibration-detection units.
The data hub collects vibration data from the vibration-detection units and transmits the collected vibration data to the server computer.
In some embodiments, each vibration-detection unit node comprises a vibration-detection sensor, a communication module as shown in FIG.1, and a positioning module such as a Global Positioning System (GPS) module for automatically determining the position or geolocation of the vibration-detection unit, thereby avoiding the manual recording and/or updating of the geolocations of the vibration-detection units during their deployment and re-deployment. The GPS also provide time information for data time stamping. The signal time stamp from multiple sensors in the network is then used to calculation locations of the concerned events.
In some embodiments, the signal-processing module may be implemented as a report by exception digital filter. In some other embodiments, the signal-processing module may be implemented as a signal-processing firmware or software program acting as a digital filter. The digital filter or the signal-processing program may be implemented in the vibration-detection unit, in the data hub, and/or in the server computer.
The vibration-detection units may be deployed in the site individually or in an independent array arrangement. Each vibration-detection unit may operate independently
METHOD THEREFOR
FIELD OF THE DISCLOSURE
The present disclosure relates generally to vibration sensing-analysis systems and methods, and in particular, to systems and methods for analyzing pipeline flow dynamics, pipeline integrity and equipment predictive maintenance measures obtained from an integrated vibration array detection, data transmission, network server data processing, database management, machine learning and user interface systems.
BACKGROUND
Pipeline systems including key equipment like pumps and compressors are utilized in oil and gas transportation, water, chemical, refined product transportation, storage and various processing facilities and industries.
Pipeline related systems in general face reliability issues related to line rupture or equipment damages triggered by several reasons, including equipment vibrations, internal and external stress, displacements, movements, geohazards and ground motions.
The pipeline and equipment reliability issues caused by various reasons are difficult to detect prior to the failures, mainly due to the variations of causes or variations of failure mechanism, and due to lack of early indicator information.
Therefore, in many occasions the pipeline and equipment failures situations are unpredictable, and mostly handled by after-the-fact reactions, where clean-ups, repairs and replacement are performed after the incidents of line leak through cracks, line ruptures or equipment failures and damages.
SUMMARY
According to one aspect of this disclosure, there is provided a vibration-based pipeline and equipment dynamic monitoring system. The dynamic monitoring system comprises: an array of broadband vibration sensing nodes for detecting vibration and outputting broadband vibration digital signals; a wired or wireless network system to communicate the nodal digital signals; a data-processing software computing module located locally or remotely; a database server or cloud storage, and an access interface for local and remote viewing, data analysis, and remote control.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a schematic diagram of a communication system network, according to some embodiments of the present disclosure;
FIG. 2 shows a pipeline sensing arrangement to identify pipeline slug, with calculation of arrival time to compression processing facility;
FIG. 3 shows a vibration pattern recognition to match flow volumetric characters DETAILED DESCRIPTION
Embodiments herein disclose a vibration-analysis system having one or more server computers, one or more client-computing devices, and one or more vibration-detection units, all functionally connected via a network. The one or more vibration-detection units may be deployed in a site for detection of vibrations. The detected vibration data are sent to the one or more server computers for vibration analysis.
In some embodiments, the vibration-analysis system also comprises one or more data hubs, each functionally coupled to one or more vibration-detection units.
The data hub collects vibration data from the vibration-detection units and transmits the collected vibration data to the server computer.
In some embodiments, each vibration-detection unit node comprises a vibration-detection sensor, a communication module as shown in FIG.1, and a positioning module such as a Global Positioning System (GPS) module for automatically determining the position or geolocation of the vibration-detection unit, thereby avoiding the manual recording and/or updating of the geolocations of the vibration-detection units during their deployment and re-deployment. The GPS also provide time information for data time stamping. The signal time stamp from multiple sensors in the network is then used to calculation locations of the concerned events.
In some embodiments, the signal-processing module may be implemented as a report by exception digital filter. In some other embodiments, the signal-processing module may be implemented as a signal-processing firmware or software program acting as a digital filter. The digital filter or the signal-processing program may be implemented in the vibration-detection unit, in the data hub, and/or in the server computer.
The vibration-detection units may be deployed in the site individually or in an independent array arrangement. Each vibration-detection unit may operate independently
2 within an independent array arrangement. In various embodiments, the vibration-detection units may be field-operated or remotely-controlled to continuously or intermittently collect, store, and transmit vibration data to the server computer for automatic data processing, recognition, and generate visualization with an integrated map interface. Real-time vibration data transmission of the broadband vibration data is used for real-time frequency spectrum analysis and analysis in velocity, acceleration and displacement domains. The data patterns in the analysis domains is stored in system database for system training and pattern recognition In some embodiments, the vibration-detection units are mounted along gas gathering pipelines to detect pipeline liquid slugging patterns in a gas system. An example is illustrated in FIG. 2, where the liquid slug traveling in the gas line is detected by the unique patterns of the vibration signals, the slug arrival time to the downstream processing equipment is calculated, a warning signal or a control signal can be generated to trigger system protection and mitigation measures, therefor reducing slug impacts to downstream processing equipment and plant operations.
In some embodiments, the vibration-detection units are mounted along pipelines to detect impacts of Geohazards, e.g. sinkhole, falling rocks, earthquake, and other ground motion that can cause pipeline damages. Network array arrangement is used to analyze event or failure locations.
In some embodiments, the vibration-detection units are mounted along pipelines to monitor impacts of vibration motions to pipeline integrity. Based on the vibration data collected, fatigue stress is calculated to predict preventive maintenance required for the pipeline and related equipment in the region.
In some embodiments, the vibration-detection units are mounted along pipelines to monitor pigging progress and locations.
In some embodiments, the vibration-detection units are mounted along pipelines to monitor flow volumes in the pipeline. The vibration signal patterns in amplitude-time domain are used to train system quantification recognition and provide volumetric measures. FIG. 3 shows a vibration pattern recognition to match flow volumetric characters.
FIG. 1 is a schematic diagram of a communication system network, according to some embodiments of the present disclosure. The networking interface comprises one or more networking modules for connecting to other computing devices or networks through
In some embodiments, the vibration-detection units are mounted along pipelines to detect impacts of Geohazards, e.g. sinkhole, falling rocks, earthquake, and other ground motion that can cause pipeline damages. Network array arrangement is used to analyze event or failure locations.
In some embodiments, the vibration-detection units are mounted along pipelines to monitor impacts of vibration motions to pipeline integrity. Based on the vibration data collected, fatigue stress is calculated to predict preventive maintenance required for the pipeline and related equipment in the region.
In some embodiments, the vibration-detection units are mounted along pipelines to monitor pigging progress and locations.
In some embodiments, the vibration-detection units are mounted along pipelines to monitor flow volumes in the pipeline. The vibration signal patterns in amplitude-time domain are used to train system quantification recognition and provide volumetric measures. FIG. 3 shows a vibration pattern recognition to match flow volumetric characters.
FIG. 1 is a schematic diagram of a communication system network, according to some embodiments of the present disclosure. The networking interface comprises one or more networking modules for connecting to other computing devices or networks through
3 the network by using suitable wired or wireless communication technologies such as Ethernet, WI-Fl , (WI-Fl is a registered trademark of the City of Atlanta DBA
Hartsfield-Jackson Atlanta International Airport Municipal Corp., Atlanta, GA, USA), BLUETOOTH (BLUETOOTH is a registered trademark of Bluetooth Sig Inc., Kirkland, WA, USA), ZIGBEE (ZIGBEE is a registered trademark of ZigBee Alliance Corp., San Ramon, CA, USA), 3G, 4G and 5G wireless mobile telecommunications technologies, and/or the like. In some embodiments, parallel ports, serial ports, USB
connections, optical connections, or the like may also be used for connecting other computing devices or network.
Although embodiments have been described above with reference to the accompanying drawings, those of skill in the art will appreciate that variations and modifications may be made without departing from the scope thereof as defined by the appended claims.
Hartsfield-Jackson Atlanta International Airport Municipal Corp., Atlanta, GA, USA), BLUETOOTH (BLUETOOTH is a registered trademark of Bluetooth Sig Inc., Kirkland, WA, USA), ZIGBEE (ZIGBEE is a registered trademark of ZigBee Alliance Corp., San Ramon, CA, USA), 3G, 4G and 5G wireless mobile telecommunications technologies, and/or the like. In some embodiments, parallel ports, serial ports, USB
connections, optical connections, or the like may also be used for connecting other computing devices or network.
Although embodiments have been described above with reference to the accompanying drawings, those of skill in the art will appreciate that variations and modifications may be made without departing from the scope thereof as defined by the appended claims.
4
Claims (8)
1. A vibration-sensing based integrated network system to detect and analyze pipeline vibration patterns and provide real-time result interpretation.
2. The network system of claim 1, wherein the vibration signal patterns and location information can be analyzed to detect liquid slugs traveling in gas pipeline systems and provide indications to pipeline operations for controls and mitigations to reduce slug impacts.
3. The network system of claim 1, wherein the vibration signal patterns, location and time information can be analyzed to detect pigging progress and pig locations.
4. The network system of claim 1, wherein the vibration signal patterns, location and time information can be analyzed to detect geohazards related event locations and time.
5. The network system of claim 1, wherein the vibration signal patterns, location and time information can be analyzed to detect volumetric features of the flows.
6. The network system of claim 1, wherein the vibration signal patterns, location and time information can be analyzed to generate fatigue stress calculations and failure predictions.
7. The network system of claim 1, wherein the vibration signal patterns, location and time information can be analyzed to generate rupture and leak events and locations information.
8. The network system of claim 1, wherein the vibration signal patterns, location and time information can be analyzed to generate equipment part failure and abnormal operation indications for predictive maintenance.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CA3048286A CA3048286A1 (en) | 2019-06-28 | 2019-06-28 | Pipeline and equipment dynamic monitoring system and method therefor |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CA3048286A CA3048286A1 (en) | 2019-06-28 | 2019-06-28 | Pipeline and equipment dynamic monitoring system and method therefor |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CA3048286A1 true CA3048286A1 (en) | 2020-12-28 |
Family
ID=74036760
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CA3048286A Pending CA3048286A1 (en) | 2019-06-28 | 2019-06-28 | Pipeline and equipment dynamic monitoring system and method therefor |
Country Status (1)
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| CA (1) | CA3048286A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116608419A (en) * | 2023-07-20 | 2023-08-18 | 山东特检科技有限公司 | Pipeline fatigue failure risk assessment method combined with vibration monitoring |
-
2019
- 2019-06-28 CA CA3048286A patent/CA3048286A1/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116608419A (en) * | 2023-07-20 | 2023-08-18 | 山东特检科技有限公司 | Pipeline fatigue failure risk assessment method combined with vibration monitoring |
| CN116608419B (en) * | 2023-07-20 | 2023-11-03 | 山东特检科技有限公司 | Pipeline fatigue failure risk assessment method combined with vibration monitoring |
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