Skip to main content

Open-source implementation of the Volume Data Store (VDS) standard for fast random access to multi-dimensional volumetric data.

Project description

OpenVDS is a specification and an open source reference implementation of a storage format for fast random access to multi-dimensional (up to 6D) volumetric data stored in an object storage cloud service (e.g. Amazon S3, Azure Blob storage or Google Cloud Storage). The specification is based on, but not similar to, the existing Volume Data Store (VDS) file format. The VDS format is a Bluware Inc. proprietary format, which has seen extensive industrial deployments over the last two decades. The design of the VDS format is contributed by Bluware Inc. to the Open Group Open Subsurface Data Universe Forum (OSDU) (The Open Group, u.d.).

OpenVDS has been designed to handle extremely large volumes, up to petabytes in size, with variable sized compressed bricks. The OpenVDS format is very flexible and can store any kind data representable as arrays with key/value-pair metadata. In particular, data commonly used in seismic processing can be stored along with all necessary metadata. This makes it possible to go from legacy formats to OpenVDS and back, while retaining all metadata.

OpenVDS may be used to store E&P data types such as regularized single-Z horizons/height-maps (2D), seismic lines (2D), pre-stack volumes (3D-5D), post-stack volumes (3D), geobody volumes (3D-5D), and attribute volumes of any dimensionality up to 6D. The format has been designed primarily to support random access and on-demand fetching of data, this enables applications that are responsive and interactive as well as efficient I/O for high-performance computing or machine learning workloads.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

openvds-3.4.2-cp311-cp311-win_amd64.whl (8.8 MB view hashes)

Uploaded CPython 3.11 Windows x86-64

openvds-3.4.2-cp311-cp311-manylinux_2_28_x86_64.whl (38.8 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.28+ x86-64

openvds-3.4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.2 MB view hashes)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

openvds-3.4.2-cp310-cp310-win_amd64.whl (8.8 MB view hashes)

Uploaded CPython 3.10 Windows x86-64

openvds-3.4.2-cp310-cp310-manylinux_2_28_x86_64.whl (38.8 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.28+ x86-64

openvds-3.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.2 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

openvds-3.4.2-cp39-cp39-win_amd64.whl (8.8 MB view hashes)

Uploaded CPython 3.9 Windows x86-64

openvds-3.4.2-cp39-cp39-manylinux_2_28_x86_64.whl (38.8 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.28+ x86-64

openvds-3.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.2 MB view hashes)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

openvds-3.4.2-cp38-cp38-win_amd64.whl (8.8 MB view hashes)

Uploaded CPython 3.8 Windows x86-64

openvds-3.4.2-cp38-cp38-manylinux_2_28_x86_64.whl (38.8 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.28+ x86-64

openvds-3.4.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.2 MB view hashes)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

openvds-3.4.2-cp37-cp37m-win_amd64.whl (8.8 MB view hashes)

Uploaded CPython 3.7m Windows x86-64

openvds-3.4.2-cp37-cp37m-manylinux_2_28_x86_64.whl (38.8 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.28+ x86-64

openvds-3.4.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.2 MB view hashes)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

openvds-3.4.2-cp36-cp36m-manylinux_2_28_x86_64.whl (38.8 MB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.28+ x86-64

openvds-3.4.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.2 MB view hashes)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page