Title :
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.
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;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258805
