Datasets

creator: Oumeng Zhang, 0000-0003-3051-2325

Total is 5 Results
A Python tool converting geophone to DAS response

10.4231/ZD3Q-RV18

Douglas R Schmitt ORCID logo , Oumeng Zhang ORCID logo

09/21/2023

This Python tool converts geophone data to DAS strain responses by integrating the displacement component along the fiber within the gauge length. The accuracy is validated through numerical experiments and comparison with plane wave analytical solution.

geophysics modeling and simulation Python Code Seismic design

A Rotated Staggered Grid (RSG) finite-difference elastic wave solver based on Devito

10.4231/R8N7-HX28

Douglas R Schmitt ORCID logo , Oumeng Zhang ORCID logo

11/14/2023

An Optimized Rotated Staggered Grid (RSG) finite-difference elastic wave solver for modeling 2D/3D seismic wave propagation in complex anisotropic media, based on the open-source Python finite-difference package, Devito.

anisotropy Modeling modeling and simulation seismic behavior

Elasticity operator toolkit with embedded fracture sets

10.4231/3CD8-HA69

Douglas R Schmitt ORCID logo , Oumeng Zhang ORCID logo

06/18/2024

Elasticity operator toolkit programmed in both Python or Matlab to perform 3D rotation on the elasticity stiffness or compliance and embed arbitrary oriented linear slip deformation (LSD) fracture sets.

elastic deformation geophysics Rock Mechanics

A deep learning neural network to extract of P- and S-wave transit times from Vertical Seismic Profile (VSP)

10.4231/TT0F-KH40

Douglas R Schmitt ORCID logo , Oumeng Zhang ORCID logo

07/23/2024

This archive contains the training dataset and the Python code to train a deep learning neural net that aims to extract separately P and S wave arrival transit times from synthetic common shot gathers (CSG) in a deviated borehole geometry.

deep learning Machine Learning Machine Learning and Geophysical Signals seismic behavior

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