The reconstruction method for irregular seismic data
Gao Jian-jun1,2, Chen Xiao-hong1,2, Li Jing-ye1,3
1. State Key Lab of Oil&gas Resource,China University of Petroleum,Beijing City,102249,China;
2. CNPC Key Lab of Geophysics,China University of Petroleum,Beijing City,102249,China;
3. Ministry of Education Key Lab of Natural Gas Accumulation Mechanism,China University of Petroleum,Beijing City,102249,China
Abstract：Irregular sampling seismic data could cause problems for multi-channel seismic data processing and also could decrease data processing quality.For 3D irregular seismic data with the limited bandwidth inversion reconstruction was conducted by integration of 2D space non-uniform Fourier transform theory and Bayesian parameter inversion method.At first by using frequency division method and based on minimum apparent velocity for every time frequency the spatial frequency bandwidth was determined for the data which will be reconstructed and the spatial Fourier spectrum of the reconstructed data was estimated from the irregular seismic data,then by regarding the irregular seismic reconstruction as geophysical reverse problem,Bayesian parameter inversion theory was utilized to estimate the spatial Fourier spectrum.In the inversion solution,Delaunay triangle grid subdivision scheme was used to determine the weight value of the irregular sample points.In addition in order to avoid complex matrix inversion pre-condition conjugate gradient algorithm was utilized to insure the stability and convergence speed for the solution.The theory model and processing results for the field data proved the effectiveness and practicality of the method.
