Pinned Repositories
3D-Stochastic-Implicit-Modeling
AutoBEL-v1.0
This is the repository for the Auto-BEL implementation in Python
BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
cmcrameri
A wrapper around Fabio Crameri's perceptually uniform colourmaps for geosciences
CNN_based_impedance_inversion
Convolutional neural network for seismic impedance inversion
CNN_seismic_facies_classification
DGSA_Light
This is a light version of DGSA, written in Python
MH-Dir
Open-source Python implementation of Metropolis-Hastings (MH) to estimate Dirichlet distributed lithology proportions from seismic.
MPS-BedMappingV1
This is the python opensource repo for basal mapping from radar line data using multiple-point geostatistics (MPS)
Tree-based_Direct_Sampling
This is the first version of the Tree-based Direct Sampling (TDS), with 2D Antactica Topography modeling case as example.
sdyinzhen's Repositories
sdyinzhen/AutoBEL-v1.0
This is the repository for the Auto-BEL implementation in Python
sdyinzhen/MPS-BedMappingV1
This is the python opensource repo for basal mapping from radar line data using multiple-point geostatistics (MPS)
sdyinzhen/DGSA_Light
This is a light version of DGSA, written in Python
sdyinzhen/MH-Dir
Open-source Python implementation of Metropolis-Hastings (MH) to estimate Dirichlet distributed lithology proportions from seismic.
sdyinzhen/Tree-based_Direct_Sampling
This is the first version of the Tree-based Direct Sampling (TDS), with 2D Antactica Topography modeling case as example.
sdyinzhen/3D-Stochastic-Implicit-Modeling
sdyinzhen/BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
sdyinzhen/cmcrameri
A wrapper around Fabio Crameri's perceptually uniform colourmaps for geosciences
sdyinzhen/CNN_based_impedance_inversion
Convolutional neural network for seismic impedance inversion
sdyinzhen/CNN_seismic_facies_classification
sdyinzhen/DataScienceForGeosciences
Data Science for Geosciences @ Stanford
sdyinzhen/EclGym
Reservoir Simulation environment for Reinforcement Learning. Eclipse Integration for Gym toolkit.
sdyinzhen/GeoStats.jl
An extensible framework for high-performance geostatistics in Julia
sdyinzhen/GeostatsPy
Reimplementation of GSLIB, Spatial Data Analytics and Geostatistics in a Python package.
sdyinzhen/GS240_resources
This repo contain resources for GS240
sdyinzhen/GS260_resources
Tutorials and resources for GS 260 Uncertainty Quantification in Subsurface Systems
sdyinzhen/HPGL-GUI
This is GUI for High Perfomance Geostatistics Library
sdyinzhen/probability
Probabilistic reasoning and statistical analysis in TensorFlow
sdyinzhen/QUSS
Companion code for Scheidt, C, Li, L, and Caers, J. K. Quantifying Uncertainty in Subsurface Systems, John Wiley & Sons, 2017.
sdyinzhen/ras2las
Well log digitalization
sdyinzhen/SALib
Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.
sdyinzhen/scikit-gstat
Geostatistical variogram estimation expansion in the scipy style
sdyinzhen/SeReMpy
Seismic Reservoir Modeling Python package
sdyinzhen/SurfaceUQ
Test study surface uncertainty quantification
sdyinzhen/tensorflow
An Open Source Machine Learning Framework for Everyone