CASE STUDYDigital Twin of Pressure Vessel Joint Industry Project with The Oil and Gas Technology Centre

• IMPROVE INDUSTRY PRACTICE FOR INSPECTION AND MAINTANANCE OF PRESSURE VESSELS

• UNLOCK THE FULL POTENTIAL OF OGTC’S ROBOTICINSPECTION

• INCREASE ACCURACY/SPEED AND REDUCE COST/CONSERVATISM OF ASSESSMENT

• PRODUCE HIGHLY PREDICTIVE FRAMEWORK - FREQUENT AUTOMATED INSPECTIONS – DETAILED COMPUTATIONAL ANALYSIS

• THROUGH A PHYSICS-BASED INTERPRETATION OF INSPECTION DATA.

• FACILITATED BY AKSELOS STRUCTURAL DIGITAL TWIN TECHNOLOGY

PROJECT DRIVERS

REDUCTION IN EQUIPMENT DOWNTIME

45%

MAINTENANCE COST REDUCTION

25%

AKSELOS TIES IN PERFECTLY WITH THE FOCUS ON ROBOTICS AND AUTOMATION, HARNESSING THE POWER OF DATA AND TECHNOLOGY TO IMPROVE

OVERALL ASSET EFFICIENCY.

PRESSURE VESSELS STRUCTURAL DIGITAL TWINS NEXT GENERATION SIMULATION TECHNOLOGY

• 1000x faster than traditional technology

• Parametric

• Cloud

STRUCTURAL DIGITAL TWIN

• Detailed and Physics Based replica of a Physical Asset

• Sensor connected to reflect real world loading and condition

• Continual prediction of structural integrity

CAPABILITIES

• Guide optimization of Inspection, Maintenance & Repair processes

• Operational Scenario Planning Support

• Life extension studies

PRESSURE VESSELS DIGITAL TWIN

INCREASED ACCURACY

INCREASED SPEED

COST EFFICIENT

STANDARDS BASED

FITNESS FOR SERVICE

ASSESSMENT

SINGLE DIGITAL THREAD FORM

INSPECTION TO CALCULATION

CALCULATIONS BASED ON HIGH FIDELITY,

STRUCTURAL DIGITAL TWIN

AUTOMATED DATA FLOW AND

PROCESS

ROBOTIC INSPECTION THROUGH TO

STRUCTURAL ANALYSIS

CONSISTENT PROCESS BASED ON SIMULATION

(SKIP L1 AND L2 ASSESSMENT)

NEW SIMULATION

TECHNOLOGY

INSPECTION AND REPAIR PLANNING

PHYSICS BASED APPROACH USING STRUCTURAL

DIGITAL TWIN

API 579 ASSESSMENT

CASE STUDY: JOINT INDUSTRY PROJECT SCOPE

• Produce more accurate predictions for maintenance and inspection - including where and when repairs will be needed.

• Simulate robotics inspection data and flows, to enable accurate validation of the structural integrity (FFS - Fitness For Service),

• Deliver frameworks for a cost-efficient inspection and repair planning based on Digital Twin.• Akselos to demonstrate a new workflow within the API 579 standard that will be much faster than

conventional methods

CASE STUDY: AKSELOS PROVIDES SUPPORT FOR FAST UPLOAD OF INSPECTION DATA

Workflows are accelerated by Akselos with many steps automated

CASE STUDY: AKSELOS SUPPORTS A LEVEL 3 ASSESSMENT OF PRESSURE VESSELS IN AN OPERATIONAL CONTEXT• Most detailed evaluation that provides more precise results (within the required API 579 standard)

• Evaluation equipment for plastic collapse, local failure, collapse from buckling and failure from cyclic

loading

General Metal Loss

Elastic Analysis Elastic-plastic Analysis

Local Metal Loss

Elastic Analysis Elastic-plastic Analysis

Assessments

Data inputs Shell component 2D UV mapping Scan plan

Thickness profileThicknesses mapped to Digital Twin

(a) (b) (c)

(d)

(e)

Automated re-analysis and reporting

(f)

DIGITAL TWIN FOR PRESSURE VESSELS

DIGITAL TWIN IMPLEMENTATION

Digital Twin model creation for Pressure Vessel

Fitness-For-Service evaluations based on API-579/ASME FFS-1[1]

Full digital thread scenario and automation

REPORT

1X AUTOMATICALLY REPEATED

Automate Level 1 & Level 2 Assessments of General Metal

Loss

CASE STUDY: PRESSURE VESSEL AKSELOS ANALYSIS

AUTOMATE LEVEL 1 ASSESSMENTS OF LOCAL METAL LOSS (2/4)

C-scan Data Marked Local Thin Areas (LTAs) and

Grooves (larger than 50 mm2)

Extracted Thickness Profile of LTAs and

Grooves

• Ignoring areas which are smaller than 50mm2 (7mm x 7mm)

AUTOMATE LEVEL 2 ASSESSMENT OF GENERAL METAL LOSS• Automatically recognize flaws for an assessment• Ignoring flaws with area smaller than 500mm2 (23mm x 23mm)

#37

#49

C-scan Data Color Coded ContinuousCorrosion

Areas (Flaws)(larger than 500

mm2)

Extracted Thickness Profile of

Flaws

#61

LEVEL 3 ASSESSMENT – EXAMPLEProtection against Plastic Collapse and Local Failure using Elastic Analysis Method

Elasticity results of the “as-is” (updated thickness) model

Internal Pressure: 13BAR Internal Pressure: 19BAR

LEVEL 3 ASSESSMENT – IDENTIFICATION OF CRITICAL AREASStress Classification Lines (SCLs) at Critical Locations are identifying manually

LEVEL 3 ASSESSMENT EXAMPLESStress Classification Lines (SCLs) at Local Thin Areas are identifying manually

CASE STUDY: PRESSURE VESSEL AKSELOS ANALYSIS

Pristine Model Shell component 2D UV mapping Scan plan

Thickness profileThicknesses mapped to Digital Twin

(a) (b) (c)

(d)

(e)

Automated re-analysis and reporting

(f)

DIGITAL TWIN FOR PRESSURE VESSELS

PRESSURE VESSEL DIGITAL TWIN: SUMMARY

• Akselos has demonstrated a new workflow within the API 579 standard that will be much faster than conventional workflows.

• Produce more accurate predictions for maintenance and inspection - including where and when repairs will be needed.

• Integrate robotic inspection data and flows, to enable accurate validation of the structural integrity (FFS - Fitness For Service assessment into operations),

• Deliver frameworks for a cost-efficient inspection and repair planning based on Digital Twin.

• Industry Research estimate that these improvements with be a game changer for Inspection planning saving over £140 million across the UK sector alone.

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