Reverse-time migration velocity modeling for tunnel prediction
Reflection seismology method is the one of the most commonly used methods in tunnel geological prediction, the velocity modeling and the migration imaging are core parts in its process. We propose migration velocity model-building, which is based on reverse-time migration, using the residual curvature analysis and layer stripping strategy to build the velocity model. We estimate the initial velocity model by direct wave and divide the model into several layers. In each layer we select the right amount of control points of velocity. Taking common imaging point gathers we update the velocity by event leveling criteria and the error relationship between the depth of imaging and the formation parameters. The convergent solution are gotten by 2-3 times iterative calculation. In the complex structure and the acute velocity regions, we use the smooth function between adjacent layers and increase the control point to improve the accuracy of the velocity analysis. Its applications in tunnel prediction have good results. Numerical examples and field data show that reasonable velocity model and high quality images have been obtained ahead of the tunnel face by reverse-time migration velocity modeling.
tunnel prediction migration velocity analysis reverse-time migration velocity modeling
Xiangbo Gong Liguo Han Jianjun Niu Jihai Gong
College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026,China College of Geo-Exploration Science and Technology, Jilin University,Changchun 130026, China College of Construction Engineering, Jilin University, Changchun 130026, China China Petroleum & Chemical Corporation oil and gas branch company in Northeast, Changchun 130062,Chi
国际会议
成都
英文
58-61
2010-06-14（万方平台首次上网日期，不代表论文的发表时间）