Reservoir Simulation and History Matching - Grid Based Computing and Interactive Dataset Exploration
J. Saltz, T. Kurc, U. Catalyurik
University of Maryland/Johns Hopkins University

M. Wheeler, S. Bryant, M. Peszynska
University of Texas

A. Sussman
University of Maryland

Description:
Modeling of flow and reactive transport arises in many physical applications:  for example, environmental quality modeling, (atmospheric, bays and estuaries, groundwater, wetlands), reservoir modeling, and in medical applications such as blood flow.

Reactive transport can involve twenty or more components, thousands of time steps, hundreds of multiple realizations, and fine grid resolution leading to terabytes of data.   Local access it critical in efficient interpretation of this data.  On the other hand complicated three-dimensional heterogeneous flow fields can be computationally intense and runtime depends strongly on the availability of optimized libraries.

We will demonstrate the use of MetaChaos software to support the flow and the reactive transport components of the UT Austin subsurface modeling code PARSIM. The flow components will run on Blue Horizon at SDSC and the reactive transport components will run on a local Beowolf cluster at SC'00.  Data will be stored in the Active Data Repository (ADR) on the local cluster.  As new data is generated and stored in ADR, ADR will support clients that (1) carry out interactive exploration of new datasets, (2) compare features seen in the new dataset with analogous portions of multiple previously computed datasets, and (3) allow the use of this data exploration and visualization capability to carry out computational steering of PARSIM.