Part 1.
In traditional seismic mapping, manual interpretation is done at regular intervals (one ’stripe’ is one interpreted line, 400 meter apart) and a map is generated. The quality of the map depends on the density of interpretations. This area was manually mapped in three hours. This area is 700 square kilometres.
Part 2.
With machine learning (image recognition), our algorithms only need a few seismic lines to map the same area. This interpretation takes 5-10 minutes. The algorithms learn from the analysis done by our experts
Part 3.
This shows the quality of the map from traditional manual mapping techniques. The geologist has interpreted every 32nd line. The next picture shows the result after using machine learning on the same task.
Part 4.
The algorithm interprets ALL lines, not just every 32nd line. This gives a much more accurate and detailed map. The compute time to achieve this result is less than one hour. Machine learning helps the geologist to reach analytical results faster, freeing up time for more in-depth analysis.
