What this is:

OGA049's DRILLING PERMIT TAPE, daf804.txt.gz: the permit master segment on its own, one 510-byte record per approved W-1 filing, carrying the operator, the lease, the well number, the intended total depth, the surface tract, the type of application and every date the Commission stamps on a permit.

How it is laid out:

The Railroad Commission publishes this as Fixed-width ASCII. Columns are byte ranges with no separators, described only in a scanned record layout. We decode it into a table you can open anywhere. It has 70 columns and about 951.6K rows.

The columns you will most likely want:

  • status_no The seven-digit status number RRC assigns to a W-1 application when it arrives.
  • status_seq The amendment sequence, which counts DOWN from 99: 99 is the original filing, 98 the first amendment, 97 the second.
  • permit_no The permit number, carried down from the permit segment.
  • permit_seq The permit's own amendment sequence, counting down from 99.
  • county_code Three-digit county code AS RRC APPROVED IT, which is not always the county the operator reported in the root.
  • lease_name Lease name as RRC approved it, up to 32 characters.

…and 64 more, all documented on the full page.

What we add:

Read the permit record RRC's mainframe writes, byte offset for byte offset, over the full half-century — the intended depth, the surface tract, the spud and surface-casing dates, and the amended, extended, expired and cancelled dates that say what became of the permit.

There is more on the full page, including what this joins to.

  • Decoded out of the Commission's original format into something Excel opens.
  • Filterable before you download, so you can take one county instead of the whole state.
  • The Commission's single-letter codes translated into words.

Worth knowing before use:

No coordinates. The 14 and 15 GPS trailer records are in the layout, but the August 2026 tape carries none of them, so nothing here can be mapped. Use the daily or end-of-month permit file for that.

The full page lists every trap in this dataset.

Get it:

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