Seismic Inversion
5 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Seismic Inversion
Most implemented papers
Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network
olivesgatech/Estimation-of-acoustic-impedance-from-seismic-data-using-temporal-convolutional-network
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In exploration seismology, seismic inversion refers to the process of inferring physical properties of the subsurface from seismic data.
Semi-supervised Sequence Modeling for Elastic Impedance Inversion
olivesgatech/Elastic-Impedance-Inversion-Using-Recurrent-Neural-Networks
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The proposed workflow uses well-log data to guide the inversion.
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage
tang39/DLADA
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Fast assimilation of monitoring data to update forecasts of pressure buildup and carbon dioxide (CO2) plume migration under geologic uncertainties is a challenging problem in geologic carbon storage.
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNet
We simulate numerous GPR data from a range of pseudo‐random velocity models and feed the datasets into GPRNet for training.
OrthoSeisnet: Seismic Inversion through Orthogonal Multi-scale Frequency Domain U-Net for Geophysical Exploration
However, the detection of sparse thin layers within seismic datasets presents a significant challenge due to the ill-posed nature and poor non-linearity of the problem.
