Modules

2Data Infrastructure & Architecture

3Digital Workflows in E&P

4Well Surveillance Tools

5Production Optimisation

6Dashboards & Data Analytics

7AI & Machine Learning

8Digital Twins & Simulation

9Automation & Remote Operations

10Cybersecurity in OT/SCADA

11Change Management & Digital Culture

12Course Exam

Module 6•Unit 5 of 5•5 min

Knowledge Check

1. What is the primary purpose of a production dashboard?

To store raw sensor data To display key operational data in a single view for monitoring and decision-making To replace all field engineers To control well equipment remotely

2. What does Production Efficiency (PE) measure?

The number of wells in a field Actual production as a percentage of maximum potential production The cost of producing one barrel The speed of data transmission

3. Which type of analytics answers "What will happen?"

Descriptive Diagnostic Predictive Prescriptive

4. What is deferred production?

Production from new wells Production volume lost due to shutdowns, failures, or maintenance Future production forecasts Oil stored in tanks awaiting export

5. What is a key challenge of AI adoption in oil and gas?

Too much clean data available Data quality issues and the talent gap between petroleum engineering and data science AI is too simple for oil and gas problems There are no use cases for AI in the industry

6. What does a virtual flow meter use instead of a physical test separator?

Manual readings by an operator An ML model that estimates well rates from sensor data A camera mounted on the wellhead Satellite imagery

Data-Driven Decisions

Module 7: AI & Machine Learning