Borehole acoustic traveltime tomography with the adjoint-state method for near-borehole slowness reconstruction

August 1, 2025·
Feiyue Xia
Feiyue Xia
,
A. Bolshakov
,
G. Gallardo-Giozza
,
C. Torres-Verdín
· 0 min read
Abstract
An adjoint-state borehole acoustic traveltime tomography workflow is introduced to reconstruct near-borehole slowness from monopole first arrivals, enabling efficient gradient computation for high-resolution near-wellbore imaging.
Type
Publication
International Meeting for Applied Geoscience & Energy (IMAGE)
publications
Feiyue Xia
Authors
Feiyue Xia (he/him)
Ph.D candidate

Feiyue Xia is a Ph.D. student in Petroleum Engineering at The University of Texas at Austin, advised by Professor Carlos Torres-Verdín. His research develops modeling and inversion methods for borehole acoustic measurements — including fast 3D eikonal simulation, adjoint-state first-arrival and reflection traveltime tomography, and finite-difference modeling of elastic and poroelastic wave propagation — to reconstruct high-resolution near- and far-borehole velocity images and improve formation evaluation in high-angle and horizontal wells.

He earned his M.S. under Professor Xiao-Ming Tang at the China University of Petroleum (East China), where he studied forward modeling of borehole acoustic waves in cracked porous formations, with additional international study programs in Italy and Russia. His broader interests span borehole geophysics, rock physics, and ultrasonic reflection modeling and experiments, supported by a strong programming foundation in C/C++, Fortran, and Python with high-performance computing.