Putting Data to Work: Transforming Disparate Open-Source Data for Engineered-Natural Systems and Models
Abstract
As hydrocarbon exploration and production expands in the U.S. offshore, the Department of Energy's (DOE) National Energy Technology Lab (NETL) has worked to build, manage, and maintain databases to help inform future research, regulatory, and commercial data-driven needs. Initial regional databases were designed as baselines to guide the prevention and preparation of hydrocarbon spills. These data baselines have been expanded and are currently being applied to support development of novel tools for assessing risk related to long-term CO2 storage, estimating offshore subsurface CO2 storage potential and associated risks, as well as regional-scale evaluation of gas hydrate deposits in onshore and offshore settings. These custom databases, which contain spatio-temporal information spanning the subsurface to surface in both onshore and offshore environments, have been built, rebuilt, redesigned, and transformed to ensure proper representation and retention of key knowledge and information for each system. This presentation highlights obstacles encountered in building a baseline of open-source and big data, leveraging databases for multiple uses via scripting and manual processing, and lessons learned about attaining and maintaining accurate information from geospatial data.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFMIN51F0689C
- Keywords:
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- 0825 Teaching methods;
- EDUCATION;
- 0845 Instructional tools;
- EDUCATION;
- 1910 Data assimilation;
- integration and fusion;
- INFORMATICS;
- 1912 Data management;
- preservation;
- rescue;
- INFORMATICS