• Industry standard synthetic dataset
• Represents complex marine salt-body geology where RTM is often used
• 13.5 x 13.5 x 4.2 km volume with 20m grid spacing
• 2D and 3D synthetic surveys are available
• More information visit
  research.seg.org/3dmodel/salthome/intro.html

• 3D narrow-azimuth marine acquisition simulation
• 138 shots at 80m spacing
• 6 streamers of 65 receivers at 40m spacing from 160m to 2760m offset

AxRTM Performance Result:

• 97 seconds per shot on a single GT200

Salt A1 Velocity Model

Salt A1 Reverse Time Migration

• 3D survey over entire model volume of 13.5km x 13.5km x 3.7km depth
• 35 shot lines at 320m spacing
• Wide-azimuth acquisition

AxRTM Performance Result:

• 20m grid spacing results in 87 million cell volume
• Processing is underway
• Less than 10 minutes per shot on a single GT200 GPU

• Industry standard synthetic dataset produced in 1988 by Institut du Petrole, based on a profile through the North Quenguela in the Cuanza basin, Angola
• Shot and receiver spacing is 25m
• For more information visit
  www.reproducibility.org/RSF/book/data/marmousi/paper_html/node1.html

• Migration volume of 9.2km x 3km depth with 4m grid spacing

AxRTM Performance Result:

• 239 shots at 44.8 seconds per shot on a single GT200 GPU

Hard-edged velocity model is the "perfect" input to the migration.

2D RTM image of Foothills model using hard velocity model produces the best possible image.

Smoothed Model

Smoothed model minimizes the effects of errors in the velocity model that are always present when building a model from field data.

2D RTM image of Foothills model using smoothed velocity model produces an excellent image.

The "Foothills 94" dataset is a synthetic dataset modeling the folded and faulted "thrust belt" geology typical of the Foothills region of Western Canada. The 2D model spans 25km to a depth of 10km and has a vertical relief of approximately 1.5km.

The synthetic data consists of 277 shot records with 5 seconds of trace data. For migration, we used a model size of 1700x1000 cells and a 25Hz source wavelet.

More information: http://software.seg.org/datasets/2D/Model_1994

The large amount of vertical relief at the surface present special data processing challenges which Reverse Time Migration handles seamlessly.

These Reverse Time Migration images feature highly accurate reflector positions, 90-degree and overhanging reflectors, low noise (coherent and random), reflectors imaged right to surface, and constant reflector amplitudes. These features are difficult or impossible to achieve with simpler, lower-cost migration algorithms.

AxRTM Performance Results:
Computation time for 10,000 timesteps was 1 minute 10 seconds per shot running on an NVIDIA Tesla C870 GPU.