Feasibility of Data Compression in Full Waveform Inversion Using Image Interpolation Based on Diffusion Tensor
Full waveform inversion is an accurate method to evaluate a velocity model from measured seismic data.It contains a large amount of the subsurface information,so the inversion result has a high resolution.Due to the large amount of the model parameters,the computational cost is usually very high.It is necessary to improve computational efficiency by data-compression techniques.The subspace method can make inversion in the sparse domain;however,it is usually lack of the geological information.In this paper,we use an image interpolation based on the diffusion tensor that contains the feature of the image to reconstruct a dense model from a sparse model and analysis feasibility of data-compression by using this image interpolation method.
full waveform inversion image interpolation diffusion tensor field data-compression
Lingli Gao Jianghai Xia Chong Zeng
Subsurface Imaging and Sensing Laboratory, China University of Geosciences, Wuhan, PRC;Institute of BGP Research and Development Center, Houston, TX, USA
国际会议
长沙
英文
276-280
2012-06-15（万方平台首次上网日期，不代表论文的发表时间）