How interpreters refine, correct, and improve computer-generated outputs for more reliable surface interpretation and subsurface decision making.
Automated and AI-assisted interpretation workflows are accelerating across the subsurface industry, but computer-generated surfaces are rarely final. Interpolation assumptions, sparse control, and algorithmic uncertainty can all impact the quality of the result.
Watch this on-demand webinar to explore why interpretation still matters, where automated surfaces commonly fall short, and how geoscientists can refine and improve outputs to produce interpretation-ready results.
Through practical examples and live workflows, see how modern interpretation tools such as PRO help geoscientists take greater control of auto-generated surfaces.
What you’ll learn
- Why computer-generated surfaces can produce different outcomes from the same input data
- Common interpolation and surface generation challenges
- Where automation and AI workflows introduce uncertainty
- The role of human expertise in refining outputs
- Practical workflows for improving surface quality
- How PRO supports interpretation-driven surface refinement
Watch On-Demand
Get immediate access to the full session and see how interpretation-driven workflows improve surface quality and confidence.
