IN13A-1819
Building continental-scale 3D subsurface layers in the Digital Crust project: constrained interpolation and uncertainty estimation.
Monday, 14 December 2015
Poster Hall (Moscone South)
Elena Yulaeva, SIO, La Jolla, CA, United States, Ying Fan, Rutgers Univ, Piscataway, NJ, United States, Nils Moosdorf, Leibniz Center for Tropical Marine Ecology, Biogeochemistry / Geology, Bremen, Germany, Stephen M Richard, Arizona Geological Survey, Tucson, AZ, United States, Sky Bristol, USGS Headquarters, Reston, VA, United States, Shanan E Peters, University of Wisconsin Madison, Geoscience, Madison, WI, United States, Ilya Zaslavsky, San Diego Supercomputer Center, Spatial Information Systems Lab, La Jolla, CA, United States and Steve Ingebritsen, U.S. Geological Survey, Menlo Park, CA, United States
Abstract:
The Digital Crust EarthCube building block creates a framework for integrating disparate 3D/4D information from multiple sources into a comprehensive model of the structure and composition of the Earth’s upper crust, and to demonstrate the utility of this model in several research scenarios. One of such scenarios is estimation of various crustal properties related to fluid dynamics (e.g. permeability and porosity) at each node of any arbitrary unstructured 3D grid to support continental-scale numerical models of fluid flow and transport. Starting from Macrostrat, an existing 4D database of 33,903 chronostratigraphic units, and employing GeoDeepDive, a software system for extracting structured information from unstructured documents, we construct 3D gridded fields of sediment/rock porosity, permeability and geochemistry for large sedimentary basins of North America, which will be used to improve our understanding of large-scale fluid flow, chemical weathering rates, and geochemical fluxes into the ocean. In this talk, we discuss the methods, data gaps (particularly in geologically complex terrain), and various physical and geological constraints on interpolation and uncertainty estimation.
