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 2•Unit 5 of 5•5 min

Knowledge Check

1. What is a data historian primarily designed to store?

Financial reports Time-series data from industrial processes Employee records Email communications

2. Which compression technique do historians commonly use to reduce storage?

ZIP compression Swinging door compression JPEG compression Huffman coding

3. What is the key difference between a data lake and a data warehouse?

Data lakes are always smaller Data lakes store raw data with schema-on-read; warehouses store structured data with schema-on-write Data warehouses are always cloud-based There is no difference

4. Which cloud provider is described as most widely adopted in oil and gas due to Power BI and Office 365 integration?

AWS Google Cloud Microsoft Azure Oracle Cloud

5. What does ETL stand for?

Extract, Transfer, Log Extract, Transform, Load Evaluate, Test, Launch Export, Tag, List

6. Why is data governance important in a digital oilfield?

It makes data harder to access It ensures data is accurate, consistent, secure, and usable across the organisation It eliminates the need for data storage It replaces data analysts

Data Governance & Quality

Module 3: Digital Workflows in E&P