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Startup

The Startup phase focuses on identifying the business problems, opportunities, or predictions that will drive the project. Clearly defining objectives at the beginning helps ensure that data collection, quality control, and modeling efforts are aligned with business goals.

Examples include:

• Identifying geological targets
• Increasing recovery factors in producing fields
• Finding sweet spots in unconventional reservoirs
• Evaluating new plays or basins for investment
• Reducing uncertainty in subsurface decisions

The Startup phase is also the time to select the tools and technologies that will support the Data Science Management process.

One of the key tools we recommend is our open source Database Manager platform, which provides PPDM database management, DataOps workflows, data quality control, and prediction capabilities.

Additional information is available on the Products page.