Analysis Of Seismic Response Characteristics Of Complex Faults And Research On Its Detection Methods

From the perspective of seismic forward modeling,we studied the characteristics of complex low sequence fault wave field in Dongxin oil area of Shengli Oilfield.According to the fault morphology and combination style of the work area,we established two dimensional velocity model,derivative fault model and three dimensional typical combination style model with different parameters.We analyzed of complex fault wave field characteristics under different velocity models by using acoustic wave equation forward modeling.At the same time,we studied the after stack fracture(crack)coherent detection algorithm and its improved algorithm.Based on previous improvement schemes,we combined two improvements of dip scanning and adaptive time window with the maximum volume eigenvalue coherence algorithm,and applied it to real data detection.We coded the parallel coherent computing program to reduce the computing time of the coherent algorithm.Using the reverse of the asynchronous collaborative optimization iteration method,we improved ant colony algorithm to solve the defects of high dimensional precision problem.The idea of genetic algorithm mutation is used to improve the ability of the ant colony algorithm to jump out of the local optimal.Combining with previous research on Ant-tracking,we proposed an intelligent ant fault detection algorithm based on omnidirectional edge detection.Finally,we applied the improved algorithm to detect the fault of slope belt of Oriente Basin(crack)has got good detection effect.