Jokhongir Khayrullaev

Position

Consultant, Geophysicist developing inversion algorithms with wave physics, AI, and mathematics

Affiliation

Research groups

Short info

Jokhongir Khayrullaev is a mathematically oriented geophysicist developing methods to image the subsurface and invert rock properties using seismic data. His current research interest lies at the intersection of ray-tracing–based asymptotic wave equation solutions and deep learning approaches.
Work

Recently, Jokhongir Khayrullaev has been working on inverting subsurface P-wave velocities from time-migration velocities. He has developed several methods; as input data for the methods, temporal derivative of the time-migration velocities, Dix slowness is used; the methods leverage kinematic and dynamic seismic ray tracing for simulating the Dix slowness on the subsurface velocities. His research has focused on topics as:

  • Deterministic and Bayesian implicit neural representations for velocity inversion  
  • Bayesian estimation of epistemic and heteroscedastic aleatoric uncertainties
  • Field validation: impact of inverted velocities and uncertainties on field data

 

 

Outreach

Fluent in English, good in bokmål

Publications