Snell tomography for net-to-gross estimation using quantum annealing
Rahul Sarkar, Stewart A. Levin · 2018
Quantum computers hold the promise of being able to solve some challenging problems sometime in the next decade or two. Here we explore how to exploit their potential power in an unusual tomographic challenge: Can one estimate material percentages such as net-to-gross or sand-shale ratios using sparse offset-traveltime information? By restricting the constituent materials in an isotropic horizontally-stratified medium to a specific set with well-known acoustic (or elastic) properties, transmission tomography can, in principle, provide the relative fraction of each material within the set of layers over which the ray traverses. In this paper, we formulate an algorithm for this “super-resolution” calculation suitable for quantum computing. Presentation Date: Thursday, October 18, 2018 Start Time: 8:30:00 AM Location: 211A (Anaheim Convention Center) Presentation Type: Oral