This paper presents the use of numerical simulations coupled with optimization techniques in oil reservoir modeling and production optimization. We describe three main components of an autonomic oil production management framework. The framework implements a dynamic, data-driven approach and enables Grid-based large scale optimization formulations in reservoir modeling.

Reservoirs are a common way to store and retain water serving for multitude of purposes like storage drinking irrigation water, recreation, flood protection, navigation, hydropower production, have been built since centuries. Today, few reservoirs serve only one purpose, which requires management present demands interests. Since each reservoir project will cause negative impacts alongside desir...

Downing, B.D., B.A. Bergamaschi, D.G. Evans and E. Boss. 2008. Estimating source-specific contributions of DOC into a drinking-water reservoir using optical profiling. Lake Reserv. Manage. 24:381–391. Understanding the sources of dissolved organic carbon (DOC) in drinking-water reservoirs is an important management issue because DOC may form disinfection by-products, interfere with disinfection...

Uncertainty analysis is critical for conducting reservoir performance prediction. However, it is challenging because it relies on (1) massive modeling-related, geographically distributed, terabyte, or even petabyte scale data sets (geoscience and engineering data), (2) needs to rapidly perform hundreds or thousands of flow simulations, being identical runs with different models calculating the ...

A number of previous studies have identified changes in the climate occurring on decadal to multi-decadal time-scales. Recent studies also have revealed multi-decadal variability in the modulation of the magnitude of El Niño–Southern Oscillation (ENSO) impacts on rainfall and stream flow in Australia and other areas. This study investigates multidecadal variability of drought risk by analysing ...