1887

Abstract

A neural network developed at Phillips Petroleum Company helps to characterize chalk<br>reservoirs to support chalk exploration, production, and modeling. The neural network is trained<br>trom samples for which fossil counts, age, zonation, paleoenvironment, biofacies, and mode of<br>deposition have already heen determined. The neural network training is used to identify<br>inconsistencies and possible finer zonations for the training examples. The trained neural network<br>is used to make determinations for new weIl biostratigraphic data.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201407553
1994-09-09
2024-03-28
Loading full text...

Full text loading...

http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201407553
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error