Abstract
The main goal of oil reservoir management is to provide more efficient, cost-effective and environmentally safer production of oil from reservoirs. Numerical simulations can aid in the design and implementation of optimal production strategies. However, traditional simulation-based approaches to optimizing reservoir management are rapidly overwhelmed by data volume when large numbers of realizations are sought using detailed geologic descriptions. In this paper, we describe a software architecture to facilitate large-scale simulation studies, involving ensembles of long-running simulations and analysis of vast volumes of output data.
| Original language | English |
|---|---|
| Pages (from-to) | 1441-1467 |
| Number of pages | 27 |
| Journal | Concurrency and Computation: Practice and Experience |
| Volume | 17 |
| Issue number | 11 |
| DOIs | |
| State | Published - Sep 2005 |
Keywords
- Data intensive computing
- Data management
- Grid computing
- Oil reservoir simulation
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