Decades of well logs, seismic surveys, and production records — migrated into a governed, AI-ready foundation. Dedicated pipelines for every data type, domain-aware validation, no big-bang cutover.
Every engagement is structured around specific deliverables — not open-ended retainers. You know what you're getting and when before the work starts.
Legacy well, log, and seismic archives migrated into an OSDU-compliant PIELake foundation — validated in parallel, cut over on your schedule.
Custom ingestion pipelines for source systems that don't fit a standard connector — built on PIEScale IQ's framework, maintained as part of the governed data flow.
Source data quality assessed before processing begins — deep header and data scans on raw files, issues flagged and remediated at the source rather than propagated downstream.
AI converts scanned paper well logs into digital LAS curves — recovering data from archives that predate digital recording entirely.
SEG-Y, LAS, DLIS, WITSML, PRODML, RESQML — dedicated parsers, no conversion detour.
PIEScale Transformer uses generative AI to map source fields to target schemas — accelerating the work that used to be hand-coded.
New pipelines validated in parallel against live data — legacy systems decommissioned only once you're confident.
309 wells analyzed and migrated in 3 hours — Hart Energy Technology Showcase 2024.
Deep source data scans catch problems before they propagate — not after the pipeline runs.
Full OSDU compliance with custom schema support for the formats OSDU alone doesn't cover.
The full use case page for this engagement — what the before/after looks like and what the platform delivers underneath it.
See Use Case →PIEScale IQ, PIELake, and the Transformer framework are the foundation underneath every data engineering engagement.
Explore PIEScale →A 30-minute discovery call, grounded in your actual legacy data — the formats, volumes, and systems you need to move.