Processes

Acquire data on geological prospect

How acquire data on geological prospect are reshaped as AGI capability advances.

ProcessesAcquire data on geological prospect
Acquire data on geological prospect — illustrated

The bottom line

Only about 25% of Acquire data on geological prospect is information work today — the rest is physical, and moves slowly. The exposure is concentrated in the back office: the books, the paperwork, the scheduling, the marketing.

Why: Because no child occupations are seeded, the scalar is derived from the 'Oil and Gas Extraction' industry lens, which establishes a physical prior (< 0.3). The process 'Acquire data on geological prospect' describes field-based seismic and physical surveying operations rather than pure digital analysis, placing it firmly in the physical band.

grounded in the economy graph · digital scalar 0.25 · physical

Business-as-Code

Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.

Acquire data on geological prospect sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Acquire data on geological prospect inherits.

The problems this exposes

Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.

Where Acquire data on geological prospect sits

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How the work flows

Trigger: A geological prospect is identified and approved for detailed evaluation and data acquisition.

  1. Define data acquisition requirements and parameters for the prospect
  2. Select and contract seismic or geological survey vendors
  3. Mobilize survey equipment and personnel to the prospect site
  4. Execute seismic, magnetic, or gravity data acquisition
  5. Perform quality control on the raw acquired data
  6. Process and format the raw data into interpretable models
  7. Store the processed prospect data in the central geological database

Outcome: Comprehensive geological and geophysical data is collected, processed, and formatted for subsurface analysis.

Measured by

Data Acquisition CostSurvey Cycle TimeData Quality Score