| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9826514 | Journal of Petroleum Science and Engineering | 2005 | 19 Pages |
Abstract
The proposed neural network model predicts the fracture gradient as a function of pore pressure, depth and rock density. A detailed comparison between the results predicted by this method and those predicted by other techniques is presented.
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Economic Geology
Authors
Adel Malallah, Ibrahim Sami Nashawi,