.png){kind=icon}
Return
Accelerating Marchenko Multiple Elimination With Deep Parallel Convolution and Time–Frequency Network
.png){kind=icon}
PRE
AI
DOI：10.1109/lgrs.2026.3710558.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The Marchenko multiple elimination (MME) method enables precise primary reconstruction in a data-driven manner, but its core computations—multidimensional convolutions and cross-correlations—are computationally intensive for large datasets. To address this, we propose DTFMarNet, a deep parallel convolution and time–frequency dual-path network that efficiently approximates key MME update operators. By organizing multishot seismic data along the trace dimension, sequential cross correlation-convolution updates are converted into parallel operations, reducing redundant computation. The deep parallel convolution structure decreases computational complexity, while the time–frequency dual-path mechanism models temporal and spectral dependencies and constrains the amplitude and phase of primaries. To overcome limited primary labels, a weakly supervised strategy leverages pseudo-References and enforces time–frequency and temporal structure constraints, thereby enhancing stability and generalization. Experiments on synthetic and real datasets demonstrate that DTFMarNet maintains effective multiple suppression and physical consistency while significantly accelerating the MME process.
Keywords:
Deep parallel convolution
Marchenko multiple elimination (MME)
multiple suppression
neural network acceleration
time–frequency dual path
Journal
I
IF:
4.4
Papers:
806
Citations:
0
Organization
Cited Papers
ShareSaveMarchenko imaging assisted by vertical seismic profiling data for land seismic data in the Middle East.png)
GEOPHYSICS
GEOPHYSICSIF3.2
PREAI
ShareSaveShareSaveFull wavefield inversion with multiples: Nonlinear Bayesian inverse multiple scattering theory beyond the Born approximationGEOPHYSICS
GEOPHYSICSIF3.2
PREAI
ShareSaveThree-dimensional internal multiple elimination in complex structures using Marchenko autofocusing theoryPETROLEUM SCIENCE
OAAI
PETROLEUM SCIENCEIF6.1
OAAIShareSaveInternal-multiple-elimination with application to migration using two-way wave equation depth-extrapolation schemePETROLEUM SCIENCEOAAI
PETROLEUM SCIENCEIF6.1
OAAIShareSave
View more