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Efficiencies in Large Volume Interpretation: Compression Roaming and Dependencies

By Bruno de Ribet

In the O&G industry, seismic data is the largest consumer of data storage, accounting for up to 90% of enterprise storage requirements. Size and complexity are growing exponentially and posing a variety of challenges to the industry. With the introduction of rich, wide and full-azimuth seismic data acquisition, and the development of advanced processing, imaging and interpreting technologies, datasets are exceeding 40-50 TB.

Until today, the industry’s solution has been to provide geoscientists with ongoing hardware upgrades, in order to support data and projects, or even maintain access to the original SEG-Y files from the selected petro-technical solution, in order to avoid duplication. IT departments need to find better solutions and are now facing a strategic choice between maintaining “instantaneous need-dependent” growing hardware, or seeking out a different approach that will benefit both their geoscientists’ requirements and their long-term operations.

But what if seismic data size can be controlled and reduced without losing any of the geoscientists’ valuable information?

Paradigm, in collaboration with Hue, has implemented a proven, high-performance seismic compression algorithm in its poststack interpretation solution. Our customers now have the option to compress their seismic data, saving disk space while retaining 32-bit precision. Efficient seismic data access-transfer and decompression are achieved through optimal use of the workstation’s graphical and CPU capabilities, to parallelize the decompression of seismic volumes from the application itself.

This presentation will show how the seismic compression roaming technology is implemented in our G&G Interpretation solution, and reveal the significant benefits of this strategy.