AssetWise: Predictive asset intelligence

AssetWise begins by defining the equipment operating on a well and the technical characteristics that influence its lifecycle.

• Select multiple equipment types for monitoring, including top drives, crown blocks, travelling blocks, drawworks, and rotary tables
• Maintain equipment identification and technical specifications for each asset

• Link each component to the correct well and operating record before comparing condition
• Review specification changes so lifecycle calculations remain tied to the equipment actually in service

AssetWise analyzes the relationship between operating loads and equipment severity to show how demanding conditions affect asset degradation.

• Track severity factor continuously against actual load intensity
• Compare operating behavior with low, medium, and high severity thresholds
• Quantify average and maximum severity over the selected period

• Review peaks alongside their duration to distinguish brief excursions from sustained demanding operation
• Use the same analysis window when comparing equipment and operating shifts

• Review peaks alongside their duration to distinguish brief excursions from sustained demanding operation

Individual operating events may appear acceptable in isolation, while their cumulative effect can materially reduce equipment life.

• Analyze hookload and torque distributions across the operating period
• Calculate daily fatigue accumulation from equipment usage
• Compare standard and non-linear RTH-based fatigue calculations
• Track average and maximum daily accumulated fatigue
• Identify operating periods that contribute disproportionately to fatigue consumption
• Compare fatigue accumulation across assets, wells, campaigns or operating profiles
• Separate routine loading from repeated high-stress and exceptional operating events
• Relate fatigue accumulation to operating hours, cycles and intensity of use

The Live Streaming Monitor provides a continuously updated picture of monitored equipment across the rig.

• Monitor incoming operational data and streaming status
• View health indicators across multiple equipment types simultaneously
• Compare linear and non-linear RTH calculations
• Track estimated remaining useful life for individual assets
• Identify equipment that requires closer engineering or maintenance attention
• Highlight assets whose condition is changing faster than expected
• Compare current health against recent operating history and established baselines
• Distinguish temporary operating changes from sustained deterioration

AssetWise compares measured standpipe pressure with predicted behavior in real time, continuously evaluating the difference between expected and actual performance.

• Compare measured SPP against model-predicted pressure
• Continuously calculate residual deviation between actual and expected values
• Track a process health index alongside pressure behavior

• Review sustained residual changes separately from short pressure excursions
• Check the operational context before interpreting a deviation as a maintenance concern

• Review sustained residual changes separately from short pressure excursions

AssetWise compares multiple approaches to determining when preventive maintenance should occur. Traditional operating-hour schedules can be evaluated alongside linear and non-linear RTH models, showing how actual equipment usage may move the optimal maintenance date forward or backward.

• Compare traditional, linear RTH, non-linear RTH, and conservative maintenance dates
• Project cumulative RTH toward defined preventive-maintenance thresholds
• Show how actual operating intensity changes the expected maintenance window
• Identify assets whose condition suggests maintenance should be brought forward
• Identify assets operating more lightly than expected where maintenance may be safely deferred
• Compare projected maintenance dates against fixed operating-hour schedules
• Visualise how different fatigue models affect the estimated intervention point

AssetWise extends predictive maintenance from an individual asset to the wider equipment fleet. Each monitored component receives its own RTH calculations, maintenance interval, progress status, recommended maintenance point, and projected failure-risk window.

• View preventive-maintenance timelines across all monitored equipment
• Track current RTH, non-linear RTH, daily RTH rate, and maintenance progress
• Compare traditional and RTH-informed maintenance dates for each asset
• Identify which assets are approaching maintenance thresholds first
• Rank equipment by urgency, projected risk, remaining life and maintenance proximity
• Highlight assets whose recommended maintenance date has moved significantly
• Compare maintenance timing across related components within the same rig or system
• Detect clusters of upcoming maintenance activity that may compete for the same resources

AssetWise closes the loop between technical reliability improvements and their financial consequences. Savings are categorized by the operational outcomes that produced them, making it easier to demonstrate where predictive asset management is creating value.

• Quantify annual savings by reliability and maintenance category
• Measure the financial impact of avoided equipment failures
• Track value generated through downtime reduction

• Review downtime and failure-cost assumptions with the responsible operational owner
• Distinguish estimated opportunity from outcomes verified after maintenance action