Explore projects

The Geospatial Consumption Zone (GCZ) is a project spawned by the OSDU Geomatics Workstream to streamline the management and consumption of geospatial data in OSDU by client applications.

Wellbore Domain Data Management Services including type-safe entity access and optimized accessors for bulk data such as logs, trajectories, checkshots.

Typescript client for open-etp-server, including REST API

A version of the Antora UI, based on the default, with branding and functionality unique to The Open Group.

A place to experiment with GitLab features

A link to gitlab Another Link to GitLab

The Time-series Service provides functionality for fetching stored time-series by entity, property, source and date-time span. The time-series are handled in a bi-temporal approach, where the version time is the time where the fact has been stored and the physical time where the transaction has happened.

The Time-series Management Service allows users to ingest time-series bulk data as a array of data points. The data can be written for set of entities, properties and source. User access is restricted through entitlements. The data ingested supports bi-temporality.

The Property Discovery Service features enables the user to query and scan through the catalog of the available set of properties using various search criteria.

Azure Infrastructure provisioning scripts and templates

The Entity Management Service provides a set of APIs that enables the user to register OSDU Storage records as entities in Production DDMS, put them into relationships (hierarchies) and discover existing entities based on search criteria. Entities are defined through a type like well, meter, valve or platform. Two entities can have multiple entity relationships of a different types. The entities can be retrieved from the system in graph format with upward or downward graph traversal.

A collection of GitLab scripts.

These are mostly one-off scripts, designed to solve a particular problem I'm having at the moment. I try to generalize them slightly. If nothing else, they serve as a template for how to do scripting.

Azure Infrastructure provisioning scripts and templates