Data & interoperability

Built to connect.

A shared data foundation is designed to preserve source, version, units and spatial context across upstream workflows.

The standards below are parallel support goals. Inclusion here does not mean complete compatibility or certification.

Conceptual visualization of a subsurface grid — Concept illustration · not simulation output

Current test evidence

OSDU: a verified subset.

In an isolated OSDU test environment, selected synthetic Well record operations, versioned reads and a file import were exercised with the Rust/PostgreSQL data path.

The results are limited to the tested objects and operations. They do not establish full OSDU compatibility, real customer interoperability or production adoption.

See research and validation

Parallel support goals

Standards work together.

Versions, objects, protocols and import/export directions must be implemented and verified individually.

OSDU

Industry data records, schemas, search, permissions, versions and managed files.

Selected test operations verified; broader coverage remains open.

Energistics

WITSML, RESQML, PRODML, ETP and related common standards for wells, models, production and exchange.

Parallel support targets; coverage depends on version and object.

Geophysics & wells

SEG-Y, LAS, DLIS and other applicable seismic and well-data exchange formats.

Version, variants and read/write scope require separate verification.

GIS & spatial

Relevant OGC and ISO geographic standards, coordinate systems and spatial services.

Support and interoperability must be recorded by format and operation.

Enterprise & industry

PPDM, ISO 15926, OPC UA and other applicable enterprise and facility standards.

Applicability and implementation are evaluated individually.

Simulator formats

Vendor-specific simulator formats and interfaces, including CMG and tNavigator, through separate adapters.

Vendor formats are not industry standards; compatibility requires versioned evidence.

One foundation

Local or connected.

Calculations are designed to run locally; enterprise data can use local or server connections, with public services where applicable.

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