Analyze data to recommend placement of wells and supplementary processes to enhance production.
Work task
“Analyze data to recommend placement of wells and supplementary processes to enhance production.” is a core task performed by Petroleum Engineers. Among the occupation's 23 rated tasks, workers place it 19th by importance (#5 most important). About 71% of workers say it is relevant to their job.
This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.
Work activities this task rolls up to
O*NET groups concrete tasks into broader work activities shared across many occupations.
AI exposure
The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.
Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T2.
Other tasks in this occupation
- Specify and supervise well modification and stimulation programs to maximize oil and gas recovery. · importance 4.2
- Test machinery and equipment to ensure that it is safe and conforms to performance specifications. · importance 4.1
- Monitor production rates, and plan rework processes to improve production. · importance 4.1
- Maintain records of drilling and production operations. · importance 4.0
- Assist engineering and other personnel to solve operating problems. · importance 4.0
- Assign work to staff to obtain maximum utilization of personnel. · importance 4.0
- Direct and monitor the completion and evaluation of wells, well testing, or well surveys. · importance 4.0
- Develop plans for oil and gas field drilling, and for product recovery and treatment. · importance 4.0
- Assess costs and estimate the production capabilities and economic value of oil and gas wells, to evaluate the economic viability of potential drilling sites. · importance 3.8
- Simulate reservoir performance for different recovery techniques, using computer models. · importance 3.8
- Confer with scientific, engineering, and technical personnel to resolve design, research, and testing problems. · importance 3.8
- Design and implement environmental controls on oil and gas operations. · importance 3.7
- Supervise the removal of drilling equipment, the removal of any waste, and the safe return of land to structural stability when wells or pockets are exhausted. · importance 3.7
- Interpret drilling and testing information for personnel. · importance 3.7
See all tasks on the Petroleum Engineers page.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Analyze data to recommend placement of wells and supplementary processes to enhance production.." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/tasks/task-3581
Singulariki. (2026). Analyze data to recommend placement of wells and supplementary processes to enhance production.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tasks/task-3581
@misc{singulariki-task-3581,
title = {Analyze data to recommend placement of wells and supplementary processes to enhance production.},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/tasks/task-3581}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.