Intelligent grain size profiling using neural network and application to sanding potential prediction in real time
Production of hydrocarbon from both consolidated and unconsolidated clastic reservoir rocks poses a risk of sand production especially if a well articulated programme of sand management strategy is not put in place to deal with the problem at the onset of field development. A well articulated progra...
Main Author: | Oluyemi, Gbenga Folorunso |
---|---|
Other Authors: | Oyeneyin, Babs : Macleod, Christopher |
Published: |
Robert Gordon University
2007
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.530810 |
Similar Items
-
The influence of different time varying antecedent flows on the stability of mixed grain size deposits
by: Saadi, Yusron
Published: (2002) -
Monitoring and designing predictable time-triggered software architecture for real-time embedded applications
by: Chan, Kam Leung
Published: (2012) -
Compensation grouting in sand
by: Eisa, Khalid Osman Gafar Mohamed
Published: (2009) -
A passive RFID real time sensing system for intelligent infrastructure
by: Sabesan, Sithamparanathan
Published: (2011) -
Instability phenomena in sand samples
by: Gajo, Alessandro
Published: (2003)