Module 12•20 min•Final Exam

Course Exam

This comprehensive exam covers all 11 content modules of the Digital Transformation in Oil & Gas course. You need to score at least 70% to pass. Take your time and review your answers before submitting.

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 reality simulation of drilling An oilfield with no human workers

2. Which of the following is NOT a core component of a digital oilfield?

IoT sensors SCADA systems Social media marketing Data analytics platforms

3. What was the main limitation of pre-digital oilfield operations?

Too many sensors producing too much data Decisions were based on stale, infrequent data from manual readings Equipment was too reliable There were too many engineers in the field

4. What is a digital twin in the context of oil and gas?

A second physical well drilled as a backup A virtual replica of a physical asset that mirrors its real-time state A duplicate database for disaster recovery A copy of an engineer's workstation

5. What do MWD/LWD tools provide during drilling?

Financial data for the drilling budget Real-time downhole measurements like inclination, azimuth, and formation properties Surface weather conditions Seismic survey results

6. How does a field-wide production optimiser increase total output?

By drilling new wells every month By reallocating resources like gas lift across wells to maximise total field production within facility constraints By increasing oil prices By shutting down all water-producing wells

7. What is history matching in reservoir management?

Tracking employee work history Calibrating a simulation model until it reproduces actual historical production data Comparing production from two different fields Recording the dates of all well completions

8. What does SCADA stand for?

Smart Control and Automated Data Analysis Supervisory Control and Data Acquisition Sensor Collection and Digital Architecture System Control and Data Archiving

9. Which artificial lift method uses a multistage centrifugal pump powered by an electric motor downhole?

Gas Lift Rod Pump ESP (Electrical Submersible Pump) Jet Pump

10. What is the advantage of predictive maintenance over reactive maintenance?

It is always cheaper to implement It predicts failures before they happen, allowing planned repairs instead of emergency responses It eliminates the need for spare parts It replaces the need for any human maintenance crew

11. Which ESP parameter is most directly associated with detecting bearing wear?

Intake pressure Motor temperature Vibration Discharge pressure

12. What is Production Efficiency (PE)?

The number of wells producing divided by total wells Actual production as a percentage of maximum potential production Revenue per barrel of oil The ratio of oil to water produced

13. Which type of analytics answers "What should we do?"

Descriptive Diagnostic Predictive Prescriptive

14. What is deferred production?

Oil stored in tanks for future sale Production volume lost due to shutdowns, equipment failures, or maintenance Production from wells not yet drilled The difference between oil and gas production

15. What is a key challenge of deploying AI in oil and gas?

AI algorithms are too simple for oil and gas Data quality issues and the need for cross-domain expertise in both petroleum engineering and data science There are no datasets available AI only works for offshore fields

16. What is the purpose of a virtual flow meter?

To physically measure flow in a pipeline To estimate individual well rates using an ML model instead of a physical test separator To display flow rates on a mobile phone To measure gas injected into a well

17. Which company deployed the "Smart Fields" programme?

BP Chevron Shell ExxonMobil

18. What does water cut indicate?

The volume of water injected into a reservoir The percentage of produced fluid that is water The depth of the water table The cost of water treatment

19. What is the data-to-decision pipeline in order?

Decide → Collect → Analyse → Act Collect → Validate → Analyse → Visualise → Decide Visualise → Collect → Decide → Analyse Analyse → Collect → Validate → Act

20. Why is the "human-in-the-loop" approach important for AI in oil and gas?

Because AI cannot process any data Because engineers validate model outputs with domain knowledge before making safety-critical decisions Because AI always gives incorrect answers Because regulations ban fully automated systems

21. What is swinging door compression used for?

Compressing gas for injection Reducing data historian storage by eliminating redundant time-series points Compressing files for email Reducing pipeline pressure

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

Data lakes are smaller Data lakes store raw data with schema-on-read; warehouses store structured data with schema-on-write Data warehouses cannot use SQL There is no difference

23. What does the optimal gas lift injection rate represent?

The maximum gas available The rate beyond which additional gas provides diminishing returns or reduces production The minimum gas needed to start a well The rate at which gas lift valves fail

24. What does a Voidage Replacement Ratio (VRR) of 1.0 mean in waterflooding?

All water has been produced Every barrel of fluid withdrawn is replaced by injection at reservoir conditions The field is depleted Water cut is 100%

25. In nodal analysis, what determines the well operating point?

The choke size alone The intersection of the IPR and VLP curves The separator pressure The pump rate

26. What is model drift in ML?

A model that runs slowly When changing data characteristics cause predictions to become less accurate over time Moving a model between servers Training a model on too much data

27. What distinguishes a digital twin from a traditional simulation model?

A digital twin uses more CPU A digital twin is continuously updated with real-time data A digital twin is always 3D A digital twin replaces the physical asset

28. What is a proxy (surrogate) model used for?

A backup server Approximating simulation results in seconds using ML trained on simulator outputs Physical scale modelling Training new engineers

29. What is the primary motivation for drilling automation?

Cost reduction Safety - removing people from high-risk rig floor operations Drilling faster wells Using smaller rigs

30. What did the TRITON/TRISIS attack target?

A corporate email server A Safety Instrumented System (SIS) at a petrochemical plant A cloud data lake A drilling rig

31. In OT security, what is the priority order of the CIA triad?

Confidentiality → Integrity → Availability Availability → Integrity → Confidentiality Integrity → Availability → Confidentiality All are equal

32. What is a "vanity metric" in digital transformation?

Production increase from optimisation Number of terabytes in the data lake (measures effort, not impact) Cost savings from predictive maintenance Reduction in deferred production

33. What is the most effective training approach for upskilling engineers?

Week-long classroom lectures Learning-by-doing with real business problems and datasets Reading vendor documentation Mandatory online quizzes

Module 11: Change Management & Digital Culture

Course Overview