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New Remote Condition Based Maintenance System For Offshore Oil Rigs
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Multiple Rigs
Multiple Equipment
Unique Tags/Sensor
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SAP/ERP
compatible
Condition
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Vibration
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Temperature
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Wear
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Lubricant
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Any |
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Real-Time/Near Real-Time
Reads Any Sensor
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Any Code
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Any
Signal
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All
Equipment
Unique Data Tags
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SAP
Compatible
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Time/Date
Collection Timing
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Poll
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Exception
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On
Demand
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Periodic
Dedicated Network
Redundant Network
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Flexible Applications
Predictive Analytics
Advanced Modeling
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Real
Time versus
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Model
Prediction
Condition Based
Reliability Centered
Collaborative/Sharing
Exception Notification |
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Overview
TIdata, in conjunction with several leading OEM, remote sensor and
Predictive Analytics companies, has developed a revolutionary
approach to real-time remote maintenance technology for offshore oil
rigs. The emergence of condition-based maintenance (CBM) as a
recognized best practice has led to this next generation of
maintenance management. Our service incorporates multiple
technologies and resources:
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Real-time,
on-line monitoring
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Improved
condition monitoring techniques
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More powerful
predictive analytics
TIdata’s Remote
Conditioning system is a new category of technology that gives users
continuous visibility into the health of their machines. This
paradigm shift marks the end of “run-to-fail” practices.
Remote monitoring enables diagnostics to continuously run at remote
sites and connect in real-time to centralized operations centers.
Remote monitoring can thus allow predictive operations and alert
maintenance personnel to perform recommended actions on offshore
equipment.
Improved condition remote monitoring techniques for vibration, lubrication,
temperature and performance analysis can identify gradual changes in
machine condition - sometimes weeks or months before problems become
visibly apparent.
Real-time data analysis, using advanced modeling on the complex
relationships among equipment sensors, provides earlier warning of
developing problems and can detect many difficult-to-identify
problems. It automates the machine inspection process, virtually
eliminates errors in manual data gathering and enables operators’
day-to-day activities to integrate with maintenance and engineering.
This “next generation” maintenance increases equipment performance
and availability, optimizes manpower usage, and reduces overall
operating costs. The positive impact on Capex and Opex will yield
astounding ROI.
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Sensors
Improved technology in equipment Sensors, developed specifically for
remote monitoring systems, for operating condition variances, can reduce breakdowns,
reduce maintenance costs and production stoppages. The new
technologies recognize changes in patterns of sensor values across
multiple correlated sensors.
Our service can monitor all sensor inputs to provide a more complete
insight into asset health. Examples include: temperature change,
vibration, lubricant particles, mechanical noise, machine speed,
fluid flow, fluid leak, mechanical wear, tilt (slope change) and
mechanical insertion.
Sensors can identify many potentially damaging conditions,
including: bearing degradation, excessive synchronous vibration, and
motor overloading and overheating. They can also identify worn
machinery parts early, enabling replacement prior to serious damage.
Real-time information from sensors gives users unprecedented
visibility into the true condition of their machinery.
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Real-Time Data
Acquisition
Our system collects real-time data from all sensors on
equipment systems on the oil rig. We tag each data input
with a unique I.D., time/date, location and
equipment/device. This vast amount of raw data is then
organized and managed from a central server. We
characterize, format, and integrate the raw data into the
applications for predictive analytics, ERP, screens and
reports and other maintenance management functions. Data
sharing is flexible and supports maintenance control on the
rig, decision makers throughout the enterprise, third party
experts, and other applications.
The data collection produces low amounts of bandwidth but
requires a high degree of reliability to be effective. This
is accomplished by using a dedicated, single purpose
network, designed for real-time data collection. Redundancy
for this network is achieved by connecting to the primary
on-rig communications system for backup.
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Data Management &
Hubbing
CMMS & Predictive Analytics Software
Computerized Maintenance Management System (CMMS) and
advanced Predictive Analytics software provide the earliest
possible notice of potential problems at every site and on
all equipment assets you operate, regardless of
manufacturer.
Predictive Maintenance monitors the equipment
characteristics and collects data to diagnose its condition.
This method relies on the machine's condition to accurately
schedule the repair interval and determine the required
replacement parts. Advanced Predictive Analytics offers the
greatest opportunity to drive breakthrough performance
improvements and minimize operational costs.
Analyses are performed to see if a sensor value has
exceeded, or seems destined to exceed, thresholds and can
identify developing faults even though sensor values are
within normal limits.
CMMS data integrates into enterprise wide applications such
as SAP, Oracle and other ERP applications.
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The Bottom Line
The combination of new Sensor technology, real-time data
access and advanced predictive analytics creates
unprecedented return on investment (ROI) and reduced Capex &
Opex expenditures.
TIdata’s Remote Condition System significantly extends the
life of equipment, improves its performance, increases
uptime, reduces maintenance costs and eliminates critical
failures. It optimizes the use of valuable personnel,
supports collaboration and shared expertise, and centralizes
IT based information sharing.
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