GEO ExPro

Trusting AI in the Subsurface

Before widescale adoption of artificial intelligence across the subsurface arena, there is still one outstanding question; can it be trusted?
This article appeared in April, 2020

Advertisement

Trusting AI in the Subsurface

Generating value and driving new levels of efficiency, artificial intelligence (AI) continues to transform the oil and gas industry at a rapid rate. With such enormous potential, it’s no wonder AI remains high on the agenda. But whilst the benefits are great, so are the risks. Before widescale adoption across the subsurface arena, there is still one outstanding question; can AI be trusted?

  • Image A: AI Fault Interpretation results on the structural geology of the Canning TQ3D region. Image B: AI results shown in Image A correlated with RGB blending results to verify the structure.

Courtesy of Geoscience Australia, the Canning TQ3D survey was analysed at a regional level by Geoteric’s AI Fault Interpretation Service. The results correlated with published works on the structural geology of the region (McCormack and McClay, 2018), as well as traditional lines of geophysical imaging such as spectral decomposition RGB colour blending to see how they complement each other. Bringing in the structure side of the story, the quality and consistency of the results is clear to see. AI attributes provide a level of detail and clarity beyond what is possible with traditional interpretation techniques today, making it easier to identify the subtleties required to effectively target an area for investment.

Advertisement

Related Articles

Web Exclusive Worldwide

Where are the Reservoirs?

Modelling geology at the scale of the actual depositional systems allows you to capture the entire system and monitor the processes involved, and thus identify the location of elusive reservoirs and sources.
Thumb4 thumb