Seismic horizon automatic identification based on ant colony tracking strategy
Yin Wen1, Li Yuan2, Guo Jiashu3, Zhang Lin1, Zhu Jianbing4, Li Changhong4
1. Karamay campus, China University of Petroleum (Beijing), Karamay, Xinjiang 834000, China;
2. Information Center, Human Resource and Social Security Bureau, Dongying, Shandong 257091, China;
3. College of Computer and Communication Engineering, China University of Petroleum (East China), Qingdao, Shandong 266580, China;
4. Geophysical Research Institute, Shengli Oilfield Branch Co., SINOPEC, Dongying, Shandong 257022, China
Abstract：Nowadays horizon picking and identifications are dependent on human being or machine assistance methods,such as event tracking,horizon picking based on neural network and image-edge extraction. For this aspect,researchers in the industry belong to applying 3D horizon tracking and section automatic tracking algorithms. These algorithms have some defects,for example they have low efficiency,need seed points,and spend a long time for training and tracking. Only one horizon can be tracked,so there is no relationship analysis between horizons. Therefore we propose in this paper a horizon automatic recognition based on improved ant colony tracking strategy. First,seismic data is preprocessed by the improved weighted median filter to enhance event continuity rather than seed point growth. Then,based on the basic idea of ant colony algorithm,seismic data is classified and processed on support vector machine (SVM). More information is added into ant colony tracking as evaluation functions,such as seismic amplitude,instantaneous phase,dip angle,and pheromone concentration. Finally the improved ant colony search algorithm achieves horizon automatic tracking. In the post processing,a tracking area is divided into a few segments,small horizons can be encrypted,and this would provide a variety of reasonable horizon encryption strategies. Our application proves the validity of the proposed approach,which may provide great helps for sequence stratigraphy analysis,sedimentary system tract interpretation,and fine reservoir description.
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