Name
Title | ||
|---|---|---|
Multi-class supervised classification of electrical borehole wall images using texture features |
Abstract | ||
|---|---|---|
Electrical borehole wall images represent micro-resistivity measurements at the borehole wall. The lithology reconstruction is often based on visual interpretation done by geologists. This analysis is very time-consuming and subjective. Different geologists may interpret the data differently. In this work, linear discriminant analysis (LDA) in combination with texture features is used for an automated lithology reconstruction of ODP (Ocean Drilling Program) borehole 1203A drilled during Leg 197. Six rock groups are identified by their textural properties in resistivity data obtained by a Formation MircoScanner (FMS). Although discriminant analysis can be used for multi-class classification, non-optimal decision criteria for certain groups could emerge. For this reason, we use a combination of 2-class (binary) classifiers to increase the overall classification accuracy. The generalization ability of the combined classifiers is evaluated and optimized on a testing dataset where a classification rate of more than 80% for each of the six rock groups is achieved. The combined, trained classifiers are then applied on the whole dataset obtaining a statistical reconstruction of the logged formation. Compared to a single multi-class classifier the combined binary classifiers show better classification results for certain rock groups and more stable results in larger intervals of equal rock type. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.cageo.2010.08.008 | Computers & Geosciences |
Keywords | Field | DocType |
classification rate,discriminant analysis,lithology reconstruction,borehole wall,multi-class classification,combined binary classifier,micro-resistivity data,automated lithology reconstruction,better classification result,rock group,electrical borehole wall image,binary classifier,texture features,overall classification accuracy,multi-class supervised classification,texture feature,equal rock type,certain rock group,multi class classification | Data mining,Data processing,Binary classification,Borehole,Linear discriminant analysis,Geology,Classifier (linguistics),Binary number,Lithology,Multiclass classification | Journal |
Volume | Issue | ISSN |
37 | 4 | Computers and Geosciences |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias Jungmann | 1 | 4 | 1.14 |
| Margarete Kopal | 2 | 1 | 0.36 |
| Christoph Clauser | 3 | 4 | 0.80 |
| Thomas Berlage | 4 | 246 | 33.69 |