Finite difference modeling (FDMOD) generates synthetic shot gathers by using full 3D, two-way wavefield extrapolation modeling—the same wavefield extrapolation logic matches that are used by reverse-time migration (RTM). FDMOD models all aspects and effects of wave propagation. The output from FDMOD is synthetic shot gathers containing direct arrivals, primaries, surface multiples, and interbed multiples. The model is specified on a dense 3D grid as velocity and optionally as anisotropy, dip, and variable density.
Survey designs can be modeled to ensure the quality of the seismic survey, regardless of the structural complexity of the model. This enables evaluating how well the target zone will be illuminated and is the best way to ensure the success of seismic surveys in areas of high structural and velocity complexity.
Maximizing the power of FDMOD requires building a detailed and accurate model. With FDMOD, the accuracy of the modeled data is limited only by the quality of the input model.
Comparing effects of different acquisition scenarios
Determining best demultiple techniques
Comparing different processing sequences on seismic data
- Generation of synthetic data using acoustic finite difference modeling algorithm
- Isotropic, VTI, TTI—requires velocity, density, and anisotropic models
- Any acquisition geometries, topography, and frequency
- Various source wavelets
- Optional marine surface multiples and ghosts
- Ability to run on GPUs and CPUs