Seismic Inversion
6 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network
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
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
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.
Time-lapse seismic inversion for CO2 saturation with SeisCO2Net: An application to Frio-II site
Our results suggest pre-training CNNs on physics-informed synthetic datasets and then applying the learned weights to field data is a viable approach to estimating field CO2 saturation.
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.