Name
Abstract | ||
|---|---|---|
Reservoir simulations are commonly used to predict the performance of oil and gas reservoirs, taking into account a myriad of uncertainties in the geophysical structure of the reservoir as well as operational factors such as well location. Designed reservoir study provides a robust tool to quantify the impact of uncertainties in model input variables, and can be used to simulate, analyze, and optimize reservoir development. However, such studies are computationally challenging, involving massive (terabyte or petabyte) geographically distributed datasets and requiring hundreds or tens of thousands of simulation runs. Providing petroleum engineers with integrated workflow through a secure and easy-to-use user interface will enable new advanced reservoir studies. This paper describes the workflow solution and user interface designed and implemented for reservoir uncertainty analysis in the UCoMS project ( Ubiquitous Computing and Monitoring System for discovery and management of energy resources). |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1273360.1273374 | workflows in support of large scale science |
Keywords | DocType | Citations |
experimental design,reservoir study,reservoir uncertainty analysis,user interface,workflow,gas reservoir,workflow approach,integrated workflow,workflow solution,new advanced reservoir study,reservoir simulation,easy-to-use user interface,optimize reservoir development,user interface design,uncertainty analysis,oil and gas,ubiquitous computing | Conference | 1 |
PageRank | References | Authors |
0.40 | 9 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabrielle Allen | 1 | 839 | 116.72 |
| Promita Chakraborty | 2 | 2 | 2.11 |
| Dayong Huang | 3 | 25 | 4.29 |
| Zhou Lei | 4 | 17 | 5.15 |
| John Lewis | 5 | 1 | 0.40 |
| Xin Li | 6 | 3 | 2.48 |
| Christopher D. White | 7 | 2 | 1.44 |
| Xiaoxi Xu | 8 | 40 | 6.65 |
| Chongjie Zhang | 9 | 154 | 23.80 |