The Turbidite Outcrop Analog Database Archive and Learning (TOADAL) tool is a digital data archive center developed by the Slope and Basin Consortium. TOADAL is designed to aid in the exploration, development, and management of deepwater reservoirs through the application and integration of outcrop analog information in subsurface data analysis. This comprehensive database and educational resource provides access to outcrop data, documentation, and interactive learning modules about depositional systems, modeling, and using analog outcrop patterns in subsurface exploration.
The TOADAL knowledgebase was assembled during an eleven-year study of the Brushy Canyon formation by the Slope and Basin Consortium at The Colorado School of Mines, and more recently at Montana State University, where research continues. Additional outcrop information and subsurface data from other basins supplement and enrich the learning experience.
TOADAL is comprised of three databases: outcrop analogs, interactive learning, and the Relational Outcrop Analog Database (ROAD).
The outcrop analog collection features depositional patterns that are graphically expressed in multiple dimensions: well log/core, maps, dimensional attributes, and cross sections. The outcrop analog collection will eventually contain patterns from more than 100 different outcrops worldwide.
The interactive learning modules features online tutorials about marine geology and deepwater depositional systems. Instructional text and supporting graphics and images provide an overview of geologic attributes of depositional systems, how to select an outcrop analog pattern, and how to apply reservoir modeling to petrophysical data.
The Relational Outcrop Analog Database (ROAD) provides archiving and retrieval of outcrop data, with an emphasis on sedimentary bodies and their attributes. The database allows users to plot dimensional data and distinguish between different data by geologic attributes.
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The databases in TOADAL can be searched for GIS data, dimensional data (ROAD), and thousands of archived documents in the Document Management System (DMS) including theses, guidebooks, publications, cross-sections, photo panels, posters, maps, and more.
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