Name
Title | ||
|---|---|---|
Intelligent oil well identification modelling based on deep learning and neural network |
Abstract | ||
|---|---|---|
The purpose of this study is to explore the intelligent oil well identification and model construction, so as to make the identification of oil well more intelligent. The convolutional neural network (CNN) algorithm in the deep learning algorithm is used to construct the recognition model of oil well function diagram, the collected original data are gradually converted into standardised binary images for input and CNN feature extraction. The CNN algorithm can be used to optimise the intelligent identification of oil wells, and the expected requirements can be met when the error of the intelligent identification of oil wells is small. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1080/17517575.2020.1722252 | ENTERPRISE INFORMATION SYSTEMS |
Keywords | DocType | Volume |
Deep learning, intelligent oil well, CNN, feature extraction, modelling | Journal | 16 |
Issue | ISSN | Citations |
2 | 1751-7575 | 1 |
PageRank | References | Authors |
0.37 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liyan Sun | 1 | 7 | 3.16 |
| Haidong Shi | 2 | 1 | 0.37 |
| Mingxing Bai | 3 | 1 | 0.37 |