Machine Learning in Oil and Gas: Upstream Data, Production Forecasting and Predictive Maintenance – Dubai, 19–23 Apr 2027
Machine Learning in Oil and Gas: Upstream Data, Production Forecasting and Predictive Maintenance runs in Dubai from Monday 19 April to Friday 23 April 2027 (1 Week). The fee is 21,450 SAR per participant. The same programme is also scheduled in 1 other city.
- Dates
- Length
- 1 Week
- Fee per participant
- 21,450 SAR
- Format
- In person, Dubai
- Venue
- Five-star CBD venue
- Status
- Open for registration
- Week
- 16 of 2027
- Reference
- 599_17832
This session
19–23 Apr 2027
This Machine Learning in Oil and Gas: Upstream Data, Production Forecasting and Predictive Maintenance session in Dubai runs from Monday 19 April to Friday 23 April 2027 (week 16, Q2 2027). It is the only date in Dubai in 2027, at a fee of 21,450 SAR. Registration is open for this date. It is held in person at Five-star CBD venue.
How do I book this date?
Register online to request your place, or send us a question about this date first.
Reference for this date: 599_17832. Quote it when you contact us.
Before you book, read our cancellation policy.
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Questions about this date
When does Machine Learning in Oil and Gas: Upstream Data, Production Forecasting and Predictive Maintenance in Dubai start and finish?
It starts on Monday 19 April and finishes on Friday 23 April 2027: 1 Week.
How much does Machine Learning in Oil and Gas: Upstream Data, Production Forecasting and Predictive Maintenance in Dubai cost?
The fee for this date is 21,450 SAR per participant. Please read our cancellation policy before you book.
Is this date held in person or online?
It is held in person in Dubai, at Five-star CBD venue.
Where else does Machine Learning in Oil and Gas: Upstream Data, Production Forecasting and Predictive Maintenance run?
It is also scheduled in 1 other city: London.
What does this programme cover?
Machine learning in oil and gas often stalls between promising pilots and trusted field use: well logs, seismic, production histories and equipment records sit in separate systems, models leak information across wells, and engineers cannot explain predictions to asset teams. This Core Concept course takes petroleum engineers, geoscientists and upstream data teams through subsurface, production and rotating equipment use cases, from data quality and feature engineering to validation, explainability and governance. Participants finish with an ML Use-Case Proposal, complete with a data plan and validation design, for a case field.
The programme outline covers:
- Introduction
- Course Objectives
- Target Audience
- Course Outline
- Day 1: Upstream Data Landscape and Use-Case Screening
- Day 2: Subsurface Feature Engineering and Supervised Learning
- Day 3: Production Forecasting, Virtual Flow Metering and Reservoir Surveillance
- Day 4: Predictive Maintenance, Validation Pitfalls and Model Governance
- Day 5: Case Field Study: ML Use-Case Proposal and Validation Design
- Skills You Will Gain
- Why Attend This Course
- Conclusion
Where else does this programme run?
Also scheduled in 1 other city.
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