Finite Difference Modeling to Evaluate Acquisition and Processing Parameters on Resolution of Land Seismics

A finite difference modeling study has been done to evaluate the effect of acquisition/processing parameters on quality of seismic land data. Data from a field in southeastern Siberia were used to construct a subsurface model. The workflow included several steps: elastic model building, 1D forward modeling, 2D finite-differences modeling, elastic inversion, receiver array analysis, synthetic data processing and interpretation. The effects of time sampling and grid size step on the noise level were examined. Comparison was made with the matrix propagator results. In perfect near surface conditions the use of receiver arrays may help to attenuate coherent noise.