Modules

Overview What is a Digital Oilfield?Evolution of Oilfields Key Technologies Benefits & Challenges Knowledge Check

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 1•Unit 5 of 5•5 min

Knowledge Check

1. What is a digital oilfield?

An oilfield that only uses robots A facility that uses sensors, automation, and analytics to optimise upstream operations A virtual simulation of an oilfield An oilfield with no human workers

2. Which technology collects and transmits data from remote well sites to a central control room?

Power BI SCADA Microsoft Excel SAP

3. What was the main limitation of manual oilfield operations before digitalisation?

Too many sensors Decisions were based on stale, infrequent data Equipment was too advanced There were too many engineers

4. What is a digital twin?

A backup server A virtual replica of a physical asset that mirrors its real-time state A second well drilled next to the original A copy of a database

5. Which of the following is a key challenge of digital oilfield adoption?

Reduced production System integration across legacy platforms Too much safety Decreased data volume

6. By how much can predictive maintenance reduce unplanned downtime?

1-5% 10-15% 30-50% 90-100%

Benefits & Challenges

Module 2: Data Infrastructure & Architecture