Community Sentiment
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AI Automation Index
Will AI Replace Derrick Operators, Oil and Gas?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Derrick Operators, Oil and Gas. Run the upskilling simulator.
AI Vulnerability
43%
risk score
Median Salary
$58,620 / year
Growth Demand
Low
Constituent Task Mix
We parsed O*NET's 15 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 0%
Medium Automation Risk (Cognitive/Technical) 87%
Low Automation Risk (Strategy/Leadership) 13%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Inspect derricks, or order their inspection, prior to being raised or lowered.
Semi-structured cognitive task involving analysis, inspection, or monitoring.
Inspect derricks for flaws, and clean and oil derricks to maintain proper working conditions.
Semi-structured cognitive task involving analysis, inspection, or monitoring.
Control the viscosity and weight of the drilling fluid.
Semi-structured task combining routine and non-routine responsibilities.
Repair pumps, mud tanks, and related equipment.
Semi-structured task combining routine and non-routine responsibilities.
Set and bolt crown blocks to posts at tops of derricks.
Semi-structured task combining routine and non-routine responsibilities.
Listen to mud pumps and check regularly for vibration and other problems to ensure that rig pumps and drilling mud systems are working properly.
Semi-structured task combining routine and non-routine responsibilities.
Start pumps that circulate mud through drill pipes and boreholes to cool drill bits and flush out drill cuttings.
Semi-structured task combining routine and non-routine responsibilities.
Position and align derrick elements, using harnesses and platform climbing devices.
Semi-structured task combining routine and non-routine responsibilities.
Supervise crew members, and provide assistance in training them.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Guide lengths of pipe into and out of elevators.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Prepare mud reports, and instruct crews about the handling of any chemical additives.
Semi-structured task combining routine and non-routine responsibilities.
Clamp holding fixtures on ends of hoisting cables.
Semi-structured task combining routine and non-routine responsibilities.
Weigh clay, and mix with water and chemicals to make drilling mud, using portable mixers.
Semi-structured task combining routine and non-routine responsibilities.
String cables through pulleys and blocks.
Semi-structured task combining routine and non-routine responsibilities.
Steady pipes during connection to or disconnection from drill or casing strings.
Semi-structured task combining routine and non-routine responsibilities.
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<script src="https://giniloh.com/embed.js" async></script> O*NET Methodology
O*NET Data Source
This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.
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