Multi-information constrained model-based tomographic inversion in complex structure imaging: Case study from Qaidam basin, western China

摘要

Multi-information constrained model-based tomographic inversion, which combines the advantages of horizon constraint and global inversion, builds a model based on geological horizons, and simultaneously updates parameters along the geological horizon grids and the vertical interlayer grids. This method can invert velocity and depth of reflection layer simultaneously, and has higher inversion precision. In addition, the method integrate attributes of continuity, azimuth, formation dip and logging data into the tomographic model building process, which further improves the accuracy of the tomography results. The method presented in this paper is applied to the field seismic data of J work area in Qaidam basin, western China, and an accurate velocity model is built to solve the imaging problem of complex structures in this area.