A new venture exploration team needed to map prospects in a highly faulted area. They knew the faults were present in their area of interest, but some were not being picked up by auto-tracking software – it became clear that to get what they wanted they would have to improve the geological accuracy of the subsurface maps. The exploration team ran Petrosys PRO to generate a subsurface grid based on a 3D seismic surface and fault sticks, then took advantage of the advanced grid editing tools to reinterpret a fault zone based on their specialist understanding of the area.
Many gridding operations provide a mathematical solution to a geological problem. We have ways of modeling trends and bias using geostatistical methods, yet the quality of a subsurface map is only as good as the input data.
Poor or incomplete datasets can lead to the creation of unrealistic surfaces, which can lead to poor economic decisions.