Powering AI/ML with MDIO seismic streaming from the OSDU® Data Platform
Industries Blog
The article discusses a collaboration between TGS and AWS to improve seismic data management and AI/ML workflows using the Multi-Dimensional Input Output (MDIO) format within the OSDU Data Platform.
- MDIO is an open-source data storage format that enables efficient computational workflows for high-dimensional energy datasets
- Provides 41% storage cost reduction through Zstd compression and improved data access
- Allows seamless integration with machine learning libraries like NumPy, TensorFlow, and PyTorch
- Enables on-demand streaming and targeted data retrieval for seismic data
- Supports AI/ML workflows such as denoising, deghosting, and salt body segmentation in seismic imaging
The solution leverages AWS services like Energy Data Insights (EDI) to provide efficient, centralized data management and enable advanced AI/ML applications in the oil and gas industry.
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