Field Gas Information
The gas half of a field's master record: discovery, testing cycle, offshore code and cumulative gas and condensate.
What this is:
The 02 GASSEG segment of the statewide field tape, one row for each of the 42,133 fields carried on the gas schedule.
How it is laid out:
The Railroad Commission publishes this as EBCDIC (IBM cp037). IBM mainframe encoding (cp037). Opening it as text gives you nonsense; it has to be transcoded first. We decode it into a table you can open anywhere. It has 40 columns and about 42.1K rows.
The columns you will most likely want:
-
district_noRRC district as the FL tape stores it, 01 to 14 — the INTERNAL number, not the designation the industry prints. -
field_noThe eight-digit RRC field number: five digits of field, then three of reservoir. -
disc_dateDiscovery date of the field's first gas well, CCYYMMDD. Filled on 41,376 of the 42,133 gas fields. -
disc_county_codeThree-digit RRC county code the field was discovered in. Zero where the mainframe never recorded one. -
perf_1st_wellDepth in feet at which the discovery well was perforated — the closest thing this file has to a field depth. -
type_field_code'A' associated with an oil field, 'N' non-associated.
…and 34 more, all documented on the full page.
What we add:
Rank fields by cumulative gas or condensate, or by what they have produced in the last two years. Find the gas fields in a county, the ones discovered in a decade, the ones exempt from the minimum GOR, and the ones sitting in state waters.
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:
The four cumulative families do not add up to one another and must not be summed together. The conversion totals exclude retro P-2 reports; the off-file totals include them; the on-file totals stop two months short so they can be compared with production.
The full page lists every trap in this dataset.