Subsurface Data Modernization — Petrabytes
Solutions / By Use Case / Subsurface Data Modernization

Legacy subsurface data, migrated at a
pace nobody expects.

Decades of well logs, seismic surveys, and production records — locked in proprietary formats, split across systems that were never meant to share data — migrated into an OSDU-compliant, AI-ready foundation.

309
Wells analyzed in 3 hours
2.9 TB
Seismic data in 6 hours
0
Downtime windows required
Scope a migration →Talk to a data engineer ↗
Before & After

From decades of proprietary formats — to one governed foundation.

Before

  • Well, log, and seismic archives in WITSML, LAS, DLIS, SEGY, and other proprietary formats
  • Migration seen as a multi-year risk nobody wants to own
  • OSDU compliance treated as an all-or-nothing commitment
  • Custom or proprietary schemas that don't fit OSDU's standard model
→

With PIEScale

  • PIEScale Transformer maps source data to target schemas using generative AI
  • Native connectors for every major subsurface data format
  • Custom schema support alongside full OSDU compliance
  • Migration validated in parallel, cut over on your schedule
Every Format, Natively

The data that feeds this use case, natively supported.

WITSMLPRODMLRESQMLSEGYLASDLISLISGeoJSONNetCDFOSDU
What PIEScale Solves

Four problems that show up in almost every subsurface data modernization program.

01

OSDU Enablement

Full compatibility with the OSDU standard for subsurface data — without giving up custom schema support for the formats OSDU alone doesn't cover.

OSDU complianceStandard schema mapping
02

AI-Assisted Transformation

The PIEScale Transformer uses generative AI to map source data to target databases and system of record — accelerating migration work that used to be hand-coded.

Generative AI mappingAutomated schema translation
03

Zero-Downtime Migration

New pipelines validated in parallel against live data — legacy systems decommissioned only once you're confident, not on a forced timeline.

Parallel validationScheduled cutover
04

Data Quality at Ingestion

Deep header and data scans on raw files — SEGY, LAS, and others — flag issues before extensive processing, so problems in source data don't propagate downstream.

Source data qualityGranular record-level scoring
How We Lead

What makes a migration safe to actually schedule.

◎

Every format, natively

WITSML, PRODML, RESQML, SEGY, LAS, DLIS, LIS — no conversion detour required.

⇄

Custom schema, still OSDU

Proprietary formats supported without giving up OSDU compliance.

◈

AI-assisted, not hand-coded

Generative AI maps source to target — a large part of why migration is measured in hours.

⊕

Independently verified

Recognized in the Hart Energy Technology Showcase alongside C3 AI, SLB, and Palantir.

◫

Zero forced downtime

Parallel validation means cutover happens on your schedule, not ours.

✓

Cloud-agnostic

Runs on AWS, Azure, or on-prem — fits your existing infrastructure commitments.

Proven, Not Promised

309 wells in 3 hours. What could yours look like?

The Data

A legacy subsurface archive spanning well records and seismic surveys, migrated into a governed, OSDU-compliant foundation using PIEScale's ingestion pipeline.

The Approach

PIEScale's Transformer and ingestion framework processed the archive directly — no custom migration scripts written from scratch for this dataset.

309 wells
analyzed and migrated in 3 hours
2.9 TB
of seismic data processed in 6 hours
Verified in the Hart Energy Technology Showcase 2024 — AAPG recognition alongside C3 AI, SLB, and Palantir.
Where to Go Next

Deploy the platform, or get it delivered.

Deploy PIEScale directly

See PIELake and the PIEScale Transformer — the ingestion and schema-mapping framework behind this migration speed.

Explore PIEScale →

Get it delivered

Data Engineering & Modernization is the scoped engagement for exactly this kind of migration.

Explore Services →
Start With Your Subsurface Data Modernization

309 wells in 3 hours.
What could yours look like?

A 30-minute discovery call, grounded in your actual well, log, and seismic data — not a generic pitch.

Scope a migration →Talk to a data engineer ↗