| Energy Workflows |
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With the widespread adoption of high quality digital imaging the Energy and Entertainment industries are facing similar challenges in terms of infrastructure, workflows, and storage requirements. The two industries also have commonality in that derived data, with human value add to the data, is more valuable than the raw captured data.
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| Accurate Map of All Files for an Asset |
Sample Data Organization Scheme |
| DataFrameworks can provide an accurate map of all files associated with any given asset regardless of the user or application that generated the files. Geoscientists often struggle with finding data required for analysis due to interpreted data being spread out across file systems with little standardization or control. |
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| Organize Data by Asset Team, Geography, etc. |
| DataFrameworks uses the underlying file systems as the vehicle for data organization. The file system facilitates energy file based workflows as files move from one application to the next. |
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| The Growing Data Management Problem Within Energy |
| DataFrameworks provides solutions to the growing data management problem within the energy industry due to: |
- Data volumes and data diversity growing coupled with a dwindling number of Geoscientists and Engineers
- Multiple realizations can be generated quickly
- Users spending time to resolve good data vs. unnecessary data after the fact.
- Production side of energy business has fewer data management tools that currently available to geologists and geophysicists.
- Growing number of applications creating files outside the control of a database.
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| Unstructured Data Within Energy |
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