The artificial neural network's prediction of crude oil viscosity for pipeline safety
Predicting crude oil viscosity is a challenge faced by reservoir engineers in production planning. Some early researchers have propounded some theories based on crude oil properties and have encountered various problems leading to errors in forecasted values. This article discusses work carried out...
| Main Authors: | , |
|---|---|
| Format: | Journal Article |
| Published: |
Taylor & Francis Group
2009
|
| Online Access: | http://hdl.handle.net/20.500.11937/11969 |