Name
Title | ||
|---|---|---|
A Novel Texture Extraction Method for the Sedimentary Structures' Classification of Petroleum Imaging Logging. |
Abstract | ||
|---|---|---|
The technology for reservoir structure identification has become a challenging problem in the field of imaging logging technology. Because of the huge amount of information and a wide variety, it causes experts with low efficiency on the interpretation of reservoir evaluation and the performance depends highly on the individual experience (including cognitive level, visual decision, etc.). We proposed a new method for texture feature extraction based on macro and micro features. About 3320 imaging logging datasets are fed to support vector machine (SVM) to validate the gains of new method. As a result, the new proposed method achieved an Area Under roc Curve (AUC) value of 0.94. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-981-10-3005-5_14 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Imaging logging,Texture features,Support Vector Machine (SVM),Area Under roc Curve (AUC) | Sedimentary structures,Pattern recognition,Reservoir evaluation,Computer science,Support vector machine,Feature extraction,Artificial intelligence,Petroleum,Macro,Texture extraction,Logging | Conference |
Volume | ISSN | Citations |
663 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 4 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haoqi Gao | 1 | 0 | 0.68 |
| Huafeng Wang | 2 | 11 | 2.20 |
| Zhou Feng | 3 | 0 | 0.34 |
| Mingxia Fu | 4 | 0 | 0.34 |
| Chennan Ma | 5 | 0 | 0.34 |
| Haixia Pan | 6 | 11 | 2.20 |
| Binshen Xu | 7 | 0 | 0.34 |
| Ning Li | 8 | 123 | 8.53 |