Data and Analytics
ExecutiveOil & GasCPD accredited
AI for Subsurface Data and Reservoir Decisions
5 days In person · London
Use AI to organise subsurface evidence, compare uncertainty and improve the pace of reservoir decisions.
Dates on request
Predictive Maintenance and Asset Integrity in Oil and Gas
Connect failure modes, inspection evidence and condition data to maintenance decisions.
- Duration
- 5 days
- Level
- Executive
- Delivery
- In person · London
- Location
- London
- Next date
- Dates on request
Overview
Connect failure modes, inspection evidence and condition data to maintenance decisions. Evaluate predictive alerts without losing engineering judgement or safe operating procedures.
Prerequisites
- Familiarity with maintenance work orders or asset data; no coding required
Who should attend
- Reliability engineers, maintenance managers and asset integrity teams
Learning objectives
By the end of the programme, participants will be able to:
- Prioritise critical equipment and failure modes.
- Prepare sensor and work-order data for analysis.
- Evaluate anomaly and failure-risk alerts.
- Link alerts to inspections and maintenance plans.
- Measure reliability and asset-integrity outcomes.
Practical output
Practical output
An asset-health pilot design with decision thresholds and intervention workflow.
Day-by-day outline
- Asset hierarchy and criticality.
- Failure modes and consequence analysis.
- Integrity barriers and inspection records.
- Workshop: select a pilot asset class.
Dates & fees
Request dates
London dates for this programme have not been confirmed yet. Register your interest below with your preferred timeframe, or ask about running it privately for your team.
Register interest
Practical information
- Delivery format
- In-person classroom programme in central London. The venue is confirmed in your joining instructions, sent after booking. Also available as private in-house delivery for your organisation.
- Daily hours
- 09:30–16:30, Monday to Friday, with lunch and short breaks. Approximately 25 learning hours in total. Registration from 09:00 on the first day.
- Inclusions
- Expert-led tuition in small groups
- Digital course materials and templates
- Lunch and morning and afternoon refreshments each day
- Pre-course joining instructions
- Certificate of attendance
- Certificate
- London Ignite Certificate of Attendance, awarded on completion of the programme (minimum 80% attendance).
Questions about practical arrangements? Contact us.
Private delivery
Bring this programme to your organisation.
Private delivery can be arranged at your premises or an agreed venue in the UK and internationally, with content adapted to your team’s context and objectives.
Discuss in-house trainingFAQs
Programme-specific answers will be published once approved. In the meantime, please contact us with any question about this programme.
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