Name
Title | ||
|---|---|---|
Applying Semantic Web Techniques to Reservoir Engineering: Challenges and Experiences from Event Modeling |
Abstract | ||
|---|---|---|
In reservoir engineering domain experts deal with many tasks and operations, ranging from reservoir simulation to well maintenance scheduling, with the goal of maximizing oil production. These operations involve different applications, and generate a large number of events at the time of their execution. Understanding these events and the relationships among them can aid the domain experts in decision making. The task of aggregating and analyzing the event information that is generated by different applications can be difficult and time consuming. In this paper, we discuss our approach on modeling events in reservoir engineering using Semantic Web techniques. We create an extensible event ontology using the Web Ontology Language (OWL) to model events in reservoir engineering. Event relationships are encoded using the Semantic Web Rule Language (SWRL). The work presented in this paper is an initial step towards a vision of integrated field event management, that uses semantic web technologies to create an efficient platform for event analysis. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ITNG.2010.183 | ITNG |
Keywords | Field | DocType |
event information,integrated asset management,event analysis,event relationship,reservoir engineering domain expert,different application,rule based reasoning,decision making,reservoir engineering,reservoir engineering domain experts,reservoir simulation,web ontology language,environmental science computing,maintenance scheduling,semantic web rule language,event ontology,semantic web,ontologies (artificial intelligence),event modeling,event correlation,extensible event ontology,reservoirs,oilfield industry,model event,integrated field event management,semantic web techniques,correlation,petroleum,production,information technology,owl,ontologies | Ontology (information science),Software engineering,Computer science,Semantic Web,Event correlation,OWL-S,Web modeling,Social Semantic Web,Semantic Web Rule Language,Database,Distributed computing,Web Ontology Language | Conference |
ISBN | Citations | PageRank |
978-1-4244-6270-4 | 0 | 0.34 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tao Zhu | 1 | 58 | 12.63 |
| Amol Bakshi | 2 | 168 | 14.26 |
| Viktor K. Prasanna | 3 | 7211 | 762.74 |
| Karthik Gomadam | 4 | 598 | 56.25 |