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Digital Technologies in Oil and Gas Engineering 151-200

Total questions: 50

Worksheet time: 4hrs 10mins

Name
Class
Date
1.

IoT in oilfield logistics improves:

a)

Manual shipment

b)

Equipment tracking and delivery coordination

c)

Paper-based transport logs

d)

Offline routing

e)

None of the above

2.

IoT devices in oil tanks detect:

a)

Worker ID

b)

Temperature and liquid level

c)

Pipe size

d)

Air humidity

e)

Depends on configuration

3.

IoT helps maintain drilling efficiency through:

a)

Manual reports

b)

Automated data-driven control

c)

Paper analysis

d)

Human estimation

e)

None of the above

4.

IoT network bandwidth defines:

a)

Cable length

b)

Device color

c)

Amount of data transmitted per second

d)

Manual update rate

e)

None of the above

5.

IoT-based smart metering systems offer:

a)

Manual counting

b)

Visual monitoring

c)

Accurate, automated measurement

d)

Paper readings

e)

None of the above

6.

IoT environmental data analytics improves:

a)

Manual reports

b)

Safety and sustainability decisions

c)

Data deletion

d)

Operator notes

e)

Depends on AI model

7.

IoT data filtering is needed to:

a)

Increase data duplication

b)

Remove irrelevant data before analysis

c)

Delete all logs

d)

Manual rearrangement

e)

None of the above

8.

IoT interoperability challenges occur due to:

a)

Manual mismatch

b)

Multiple device standards

c)

Operator absence

d)

Power failure

e)

None of the above

9.

IoT-based drilling automation systems can:

a)

Require manual override

b)

Adjust weight on bit and rotation speed automatically

c)

Ignore sensor input

d)

Delay decision-making

e)

None of the above

10.

IoT-based monitoring reduces production risks by:

a)

Manual checks

b)

Providing real-time visibility

c)

Data isolation

d)

Operator guesswork

e)

Depends on system setup

11.

IoT-based pipeline integrity systems monitor:

a)

Employee movement

b)

Manual gauges

c)

Visual inspections

d)

Pressure, temperature, and structural stress

e)

None of the above

12.

IoT helps prevent equipment failure by:

a)

Manual supervision

b)

Ignoring sensor readings

c)

Early detection of abnormal patterns

d)

Reducing maintenance

e)

Depends on system algorithm

13.

IoT integration in refineries improves:

a)

Worker attendance

b)

Process optimization and emission control

c)

Manual valve checks

d)

Visual tracking

e)

None of the above

14.

IoT sensors for vibration analysis detect:

a)

Color variation

b)

Manual flow

c)

Mechanical instability

d)

Noise levels

e)

Depends on machine condition

15.

IoT data synchronization ensures:

a)

Manual correction

b)

Consistent updates between devices and cloud

c)

Delayed response

d)

Offline mode

e)

None of the above

16.

IoT-based safety helmets can track:

a)

Equipment speed

b)

Oil viscosity

c)

Location and worker health metrics

d)

Pressure drop

e)

None of the above

17.

IoT systems in downstream operations optimize:

a)

Worker scheduling

b)

Marketing

c)

Product distribution and storage

d)

Finance reports

e)

Depends on application

18.

IoT sensors in offshore rigs measure:

a)

Crew attendance

b)

Equipment color

c)

Wave impact and structural vibration

d)

Pressure manually

e)

None of the above

19.

IoT in energy management helps to:

a)

Increase data load

b)

Manual calibration

c)

Reduce fuel consumption and carbon footprint

d)

Hardware repair

e)

None of the above

20.

IoT sensors communicate using:

a)

Manual signals

b)

Audio transmission

c)

Wireless protocols such as LoRa, Zigbee, or NB-IoT

d)

Fiber optics only

e)

Depends on deployment

21.

IoT-based operational alerts are sent via:

a)

Paper reports

b)

Cloud notifications or SMS systems

c)

Manual phone calls

d)

Field visits

e)

None of the above

22.

IoT device identification is achieved through:

a)

Manual naming

b)

Unique digital IDs or MAC addresses

c)

Random numbers

d)

Visual tags only

e)

None of the above

23.

IoT in drilling analytics allows:

a)

Increased energy waste

b)

Delayed readings

c)

Optimization of rate of penetration (ROP)

d)

Human estimation

e)

None of the above

24.

IoT gateway hardware includes:

a)

Manual switches

b)

LED bulbs

c)

Processors, memory, and communication modules

d)

Display screens

e)

Depends on system type

25.

IoT sensor redundancy improves:

a)

Data complexity

b)

Manual input

c)

System lag

d)

Reliability and fault tolerance

e)

None of the above

26.

IoT applications in drilling optimization focus on:

a)

Increasing manual tasks

b)

Reducing non-productive time

c)

Delaying analysis

d)

Lowering data speed

27.

IoT device power sources include:

a)

Mechanical pumps

b)

Batteries, solar, or wired supply

c)

Gas combustion

d)

Human activity

e)

None of the above

28.

IoT alarm management systems help operators:

a)

Write manual logs

b)

Disable automation

c)

Respond quickly to emergencies

d)

Delay shutdown

e)

None of the above

29.

IoT oil well monitoring systems measure:

a)

Surface area

b)

Pressure, flow, and temperature

c)

Color levels

d)

Manual records

e)

Depends on sensor network

30.

IoT for drilling performance uses:

a)

Manual drilling reports

b)

Estimated data

c)

Real-time torque and drag monitoring

d)

Paper charts

e)

None of the above

31.

IoT in pipeline leak management improves:

a)

Manual inspection

b)

Mechanical recording

c)

Early detection and response time

d)

Sound alarms only

e)

Depends on pressure level

32.

IoT cloud storage benefits include:

a)

Reduced capacity

b)

Centralized access and scalability

c)

Manual control

d)

Offline data collection

e)

None of the above

33.

IoT node connectivity means:

a)

Manual wire connection

b)

Worker synchronization

c)

Communication link between sensors and gateways

d)

Power coupling

e)

None of the above

34.

IoT device provisioning refers to:

a)

Manual connection

b)

Configuring and registering devices on the network

c)

Physical repair

d)

File storage

e)

None of the above

35.

IoT-enabled condition monitoring helps:

a)

Delay repair

b)

Predict maintenance needs

c)

Manual tracking

d)

Ignore alerts

e)

None of the above

36.

IoT-based real-time data visualization allows:

a)

Manual note-taking

b)

Instant decision-making

c)

Random reporting

d)

Visual design

e)

None of the above

37.

IoT automation systems reduce:

a)

Data transfer

b)

Security

c)

Human error and downtime

d)

Workforce efficiency

e)

Depends on system capacity

38.

IoT integration in SCADA enhances:

a)

Manual override

b)

Control and data analytics

c)

Hardware isolation

d)

System downtime

e)

None of the above

39.

IoT sensors in refineries detect:

a)

Air color

b)

Worker activity

c)

Pressure, flow, and chemical composition

d)

Manual switch levels

e)

None of the above

40.

IoT-based mobile apps for oilfields are used for:

a)

Manual editing

b)

Remote control and monitoring

c)

Social networking

d)

Static data storage

e)

Depends on access control

41.

IoT helps optimize pumping efficiency by:

a)

Manual tuning

b)

Operator control

c)

Adjusting pump rate automatically

d)

Random settings

e)

None of the above

42.

IoT devices collect data through:

a)

Manual logs

b)

Sensors, gateways, and transmitters

c)

Voice commands

d)

Paper forms

e)

Depends on environment

43.

IoT-based communication in oilfields requires:

a)

Manual cabling

b)

Reliable wireless infrastructure

c)

Local servers only

d)

Human relay

e)

None of the above

44.

IoT networks in oilfields can be disrupted by:

a)

Manual updates

b)

Harsh environmental conditions

c)

Cloud speed

d)

Sensor calibration

e)

None of the above

45.

IoT data analysis helps to:

a)

Delay responses

b)

Identify performance trends

c)

Replace operators

d)

Store only images

e)

Depends on dataset size

46.

IoT device temperature sensors measure:

a)

Visual brightness

b)

Ambient or process temperature

c)

Manual input

d)

Oil density

e)

None of the above

47.

IoT integration in oil wells allows:

a)

Manual valve adjustment

b)

Remote control and automation

c)

Field note-taking

d)

Human-only operation

e)

None of the above

48.

IoT-based leak sensors detect:

a)

Manual readings

b)

Gas or fluid presence outside the pipeline

c)

Visual smoke

d)

Air humidity

e)

Depends on threshold levels

49.

IoT’s biggest challenge in oilfields is:

a)

Manual monitoring

b)

Harsh environmental durability

c)

Lack of operators

d)

Low oil price

e)

None of the above

50.

IoT applications in oilfield production improve:

a)

Manual recording

b)

Delay reporting

c)

Efficiency, safety, and cost-effectiveness

d)

Human workload

e)

None of the above

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