Predicting reservoir quality in sandstones through neural modeling
Due to limited understanding of the details of many diagenetic processes, mathematical models become a very useful tool to predict reservoir quality prior to drilling. Porosity prediction is an important component in pre-drill and post-drill evaluation of reservoir quality. In this context, we have...
Main Authors: | Sandro da Silva Camargo, Paulo Martins Engel |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidade Federal do Rio Grande
2013-01-01
|
Series: | Vetor |
Subjects: | |
Online Access: | https://seer.furg.br/vetor/article/view/1337 |
Similar Items
-
Predicting reservoir quality in sandstones through neural modeling
by: Sandro da Silva Camargo, et al.
Published: (2013-01-01) -
Predicting reservoir quality in sandstones through neural modeling
by: Sandro da Silva Camargo, et al.
Published: (2013-01-01) -
Automated mineralogy (SEM-EDS) approach to sandstone reservoir quality and diagenesis
by: Richard H. Worden, et al.
Published: (2022-09-01) -
Impact of Diagenesis on the Reservoir Properties of the Cretaceous Sandstones in the Southern Bredasdorp Basin, Offshore South Africa
by: Temitope Love Baiyegunhi, et al.
Published: (2020-08-01) -
Secondary reservoir porosity in the course of sandstone diagenesis /
by: 231691 Schmidt, Volkmar
Published: (}n d)