Seismic facies classification based on seismic texture attributes and fuzzy clustering
Hu Ying1, Chen Hui2, He Zhenhua1, Huang Deji1, Wen Xiaotao1
1. State Key Laboratory of Oil & Gas Reservoir Geology and Exploration,Chengdu University of Technology,Chengdu,Sichuan 610059,China ;
2. Sichuan Key Lab of Geo-mathematics,Chengdu University of Technology,Chengdu,Sichuan 610059,China
Abstract：Seismic facies classification technology basedon seismic texture attributes and fuzzy clustering isan attributes clustering method. Therefore，pa-rameters to be selected(the type of input attrib-utes，the method of clustering or classification, theinter pretation of seismic facies geological signifi-cance，and so on) to describe the reflection charac-teristics of seismic facies are main factors to deter-mine technical characteristics and application re-cults of the methods.The paper combines the fuzz-y C-means clustering algorithm and the seismic texture attribute to achieve the automatic seismic facies classification. For each point in 3D seismic data volume，we extract seismic textual features from different directions in its neighborhood，and then divide seismic facies using the fuzzy C-means clustering method based on the attributes, so as todeter mine the facies which each point belongs to.The practical application results show that the al-gorithm is effective，and consistent well with the drilling results.
