Automatic Identifying Algorithm of Water-Flooded Zone Based on B-SVM

Author

Shang, Fu-hua ; Miao, Xiu-jie ; Wang, Zhao-yu ; Xin, Shi-wei

Author_Institution

Daqing Pet. Inst.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

4035

Lastpage

4039

Abstract

Based on the preprocessing of logging data such as standardization, with the B-spline, we map log-signal space into the vector space. And then we use SVM (support vector machine) to automatically identify the water-flooded status of oil-saturated stratum. The experiments show that the effect of this algorithm is better

Keywords

geology; geophysical prospecting; oils; splines (mathematics); support vector machines; transforms; water; B-SVM; B-spline transform; automatic identifying algorithm; log-signal space; logging data; oil-saturated stratum; support vector machine; vector space; water-flooded zone; Arithmetic; Geology; Information analysis; Interpolation; Neural networks; Petroleum; Polymers; Space technology; Spline; Standardization; Support vector machines; Automatic Identifying; B-SVM; B-spline transform; SVM; water-flooded status;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258805

Filename

4028778

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2898980