PIEScale^®

Scientific Data Management & AI-Ready Data Platform

An enterprise scientific data platform for ingesting, integrating, governing and activating complex subsurface and energy datasets, enabling interoperable workflows, advanced analytics and AI-driven applications.

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Diagram of an integrated subsurface model fed by wells, horizons, reservoir grids, strain, acoustic, completions, GIS, well locations, lithology, core, corrosion, DTS, seismic, well logs, fracture networks, thin sections and faults, with AVEVA operations data and standards such as WITSML, PRODML, RESQML, SEG-Y, LAS, DLIS and LIS alongside — Subsurface data types and industry standards brought together in an integrated subsurface model.Image courtesy of Petrabytes

Overview

PIEScale® brings specialized subsurface and energy data into a governed foundation that can be discovered, accessed and used for analytics and AI applications.

The platform is made up of several components; the components and features included depend on the commercial configuration.

Key capabilities

Scientific data ingestion & quality: ingestion, parsing, validation and management of specialized scientific formats, including SEG-Y, LAS, DLIS, WITSML, PRODML and RESQML.
Data integration & interoperability: integration with industry standards and existing enterprise data environments.
Governed scientific data foundation: organize and govern scientific datasets for discovery, access, analytics and AI applications.
OSDU-aligned data architecture: support for OSDU-aligned data models and integration scenarios, where a deployment uses them.
AI-enabled data workflows: AI-assisted data mapping, governed data access and domain-oriented AI workflows.
Scientific visualization: geospatial, subsurface and time-series data visualization through the platform's supported capabilities.

Platform components

PIEScale IQ: Scientific data ingestion and subsurface data management.
Transformer: AI-assisted source-to-target schema mapping within the platform.
PIELake: Underlying OSDU-native scientific data foundation.
PIE*Agents: Domain-oriented AI agents and agentic workflows.
PIEView: Geospatial and scientific visualization.
PIEFlow: Workflow orchestration and enterprise integration.

Components and features included vary by commercial configuration.

Applications

Subsurface data modernization: move legacy and fragmented subsurface data into a governed, consistent foundation.

Scientific data ingestion and quality control: ingest specialized formats and validate them on the way in.

OSDU-aligned data integration: map and integrate data with OSDU-aligned models where required.

Enterprise data governance and discovery: make scientific datasets findable and accessible under governance.

Cloud and lakehouse integration: connect the data foundation with existing cloud and lakehouse architectures.

AI-ready data preparation: prepare governed data for analytics and domain AI workflows.

Developer

Developed by

Petrabytes develops PIEScale®, a scientific data platform for subsurface and energy data.

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Technical resources

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