Generic platforms store scientific data. PIEScale understands it — parsing SEG-Y, LAS, DLIS, WITSML, and DTS/DAS natively, validating against domain rules, and serving it to engineers and AI agents in a form they can actually use.
Most platforms require data to be converted to CSV or Parquet before they can process it. PIEScale has dedicated parsers for every major scientific data format — no conversion detour, no information lost in translation.
Native SEG-Y parsing with deep header scanning — textual and binary headers, inline/crossline geometry, sample interval validation, and QC scoring before ingestion begins.
LAS, DLIS, and LIS parsed with curve-level validation — mnemonics, units, depth references, and null values checked against domain rules before the log is accepted.
Reservoir grids, horizons, faults, and geomechanical models — connected to the wells, completions, and production data they were derived from.
DTS, DAS, VSP, and microseismic data processed via RTSS — Petrabytes' extension of RTDIP for real-time energy data, contributed back to the OSDU standard.
Well locations, field boundaries, pipeline routes, and basin polygons — connected to the subsurface and production data that belongs to them.
OSI PI, SCADA, historian, and production allocation data connected to the subsurface and engineering data that gives it context.
PIEScale covers data across every stage — from first exploration survey to long-term production monitoring — connecting the disciplines that usually work in silos.
Basin analysis, seismic acquisition
Well design, trajectory, mud logs
Perforations, stimulation, fracs
Allocation, artificial lift, decline
DTS, DAS, microseismic, CCUS
AI converts scanned paper well logs into digital LAS curves — recovering data from archives that predate digital recording entirely.
Deep header and data scans on raw files before processing begins — avoiding costly transformation of data that has issues at the source.
Petrabytes contributed the Sensing Data standard back to OSDU — real-time streaming for DTS/DAS data as an open standard, supported by Shell & Chevron.
A 30-minute discovery call grounded in your actual scientific data — the formats, volumes, and systems you're working with today.