Pump Operators, Except Wellhead Pumpers
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Tend, control, or operate power-driven, stationary, or portable pumps and manifold systems to transfer gases, oil, other liquids, slurries, or powdered materials to and from various vessels and processes.
The occupation "Pump Operators, Except Wellhead Pumpers" carries an automation risk of 61.9%, closely aligning with its base risk estimate of 62.5%. This significant risk level arises primarily from the highly routine and process-driven aspects of the job. Many core tasks—the top three being monitoring gauges and flowmeters, recording operating data, and planning product movement through pipelines—are heavily reliant on data observation, logging, and decision-making based on set parameters. These functions can be efficiently handled by modern automation solutions such as sensors, computerized monitoring systems, and programmable logic controllers (PLCs), which can monitor operations continuously and report abnormalities faster and more reliably than human workers. Despite these at-risk facets, there are elements of the pump operator role that are notably resistant to automation, helping to moderate the overall risk. The most automation-resistant tasks include blending two or more materials in precise ways, physically collecting and delivering sample solutions for laboratory analysis, and manually adding chemicals to tanks to meet necessary specifications. These activities often demand a combination of human judgment, manual dexterity, and adaptability to nuanced situations that current automation technologies struggle to replicate. For instance, ensuring the correct blending of materials or responding to unexpected variations in a blend may require on-the-spot decision-making and adjustments that go beyond routine instructions. A significant factor constraining the full automation of this occupation is the reliance on bottleneck skills like originality, albeit at low levels (2.1% and 2.0%). While the percentage may seem minor, even this limited requirement for novel problem-solving and adaptive thinking is challenging for automated systems. Originality in this context may involve troubleshooting unforeseen operational issues or devising new solutions to fluid control challenges. Consequently, as long as the occupation continues to require even modest levels of creative thinking and adaptability, complete automation is likely to remain just out of reach, sustaining opportunities for human workers amidst ongoing technological advancements.