Locate natural resources using geospatial or other environmental data.
Detailed work activity
Locate natural resources using geospatial or other environmental data. is a detailed work activity in O*NET — a concrete unit of work shared across 2 occupations and seen in 7 occupation-specific tasks. It rolls up into the broader work activity Analyze environmental or geospatial data. in Analyzing Data or Information .
Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.
AI exposure
Of the 7 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 6 (86%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).
Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.
Member tasks
Occupation-specific tasks O*NET maps to this detailed work activity, most important first.
- Locate and estimate probable natural gas, oil, or mineral ore deposits or underground water resources, using aerial photographs, charts, or research or survey results. · Geoscientists, Except Hydrologists and Geographers · importance 3.8 · exposure with tools
- Measure geological characteristics used in prospecting for oil or gas, using measuring instruments. · Geological Technicians, Except Hydrologic Technicians · importance 3.6 · no direct exposure
- Identify deposits of construction materials suitable for use as concrete aggregates, road fill, or other applications. · Geoscientists, Except Hydrologists and Geographers · importance 3.4 · exposure with tools
- Participate in the evaluation of possible mining locations. · Geological Technicians, Except Hydrologic Technicians · importance 3.3 · exposure with tools
- Identify new sources of platinum group elements for industrial applications, such as automotive fuel cells or pollution abatement systems. · Geoscientists, Except Hydrologists and Geographers · importance 3.3 · exposure with tools
- Locate potential sources of geothermal energy. · Geoscientists, Except Hydrologists and Geographers · importance 3.2 · exposure with tools
- Apply new technologies, such as improved seismic imaging techniques, to locate untapped oil or natural gas deposits. · Geological Technicians, Except Hydrologic Technicians · exposure with tools
Occupations that perform this
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. "Locate natural resources using geospatial or other environmental data.." 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/detailed-activities/locate-natural-resources-using-geospatial-or-other-environmental-data
Singulariki. (2026). Locate natural resources using geospatial or other environmental data.. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/detailed-activities/locate-natural-resources-using-geospatial-or-other-environmental-data
@misc{singulariki-locate-natural-resources-using-geospatial-or-other-environmental-data,
title = {Locate natural resources using geospatial or other environmental data.},
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/detailed-activities/locate-natural-resources-using-geospatial-or-other-environmental-data}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.