Pinned Repositories
ACOUSTIC2DPML
ACOUSTIC2DPML is a MATLAB package for performing the 2-D frequency-domain acoustic wave simulation
cnn_vti_inversion
Determination of the elastic parameters of a VTI medium from sonic logging data using deep learning
DNN-anisotropy-model-building
Codes and data for the paper 'Shale anisotropy model building based on deep neural networks'.
ElasticMatrix
The ElasticMatrix software uses the partial-wave method to model elastic wave propagation in multilayered anisotropic media.
EM-lab-3rd-sem
This contains the matlab codes to process the Electromagnetic Geophysical data
Force-2020-Machine-Learning-competition_predict-lithology-EDA
Exploratory Data Analysis for the Lithology prediction part of the 2020 FORCE Machine Learning Contest
PetroPy
A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.
seismic-data-processing
normal move out correction (NMO) sembalnce, radon transform
seismod
C codes for seismic modeling
SimpleFWI
Simple matlab code for testing optimization algorithms on seismic inverse problems
07012220's Repositories
07012220/cnn_vti_inversion
Determination of the elastic parameters of a VTI medium from sonic logging data using deep learning
07012220/ACOUSTIC2DPML
ACOUSTIC2DPML is a MATLAB package for performing the 2-D frequency-domain acoustic wave simulation
07012220/afk-filter-supplement
Supplement for doi.org/asdasd
07012220/boreholeAcoustics
07012220/Brittleness-Predicition-using-Machine-Learning
predict brittleness using machine learning.
07012220/cfdtool
CFDTool - An easy to use OpenFOAM / SU2 / CFD simulation toolbox for MATLAB
07012220/CudaFEMproject
Finite Element Method CUDA implementation
07012220/deep_prior_interpolation
Deep Prior Seismic Data Interpolation
07012220/DynamicDataDisplayReloaded
A chart control that expands on the original DynamicDataDisplay from Microsoft in 2009
07012220/ExploreDAS
07012220/flask_sonic_log_predict
Simple Flask web app & api for hosting my model from SPWLA PDDA 2020 ML Competition
07012220/Force-2020-Machine-Learning-competition
the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.
07012220/FracPaQ
Quantification of Fracture Patterns
07012220/FWI
acoustic FWI for isotropic media in frequency domain
07012220/LiveCharts2
Simple, flexible, interactive & powerful charts, maps and gauges for .Net, LiveCharts2 can now practically run everywhere Maui, Uno Platform, Blazor-wasm, WPF, WinForms, Xamarin, Avalonia, WinUI, UWP.
07012220/LOdasdenoising
The LOdasdenoising package stores the reproducible and open-access scripts for protecting the weak signals in distributed acoustic sensing data processing using local orthogonalization (LO).
07012220/Machine-Learning-Competition-2020
My personal work on the 2020 SPWLA PDDA Sonic Prediction Competition
07012220/MuRAT
A multi-resolution seismic attenuation tomography code - currently in its 3.0 release
07012220/NETReactorSlayer
An open source (GPLv3) deobfuscator and unpacker for Eziriz .NET Reactor
07012220/numpy-
开源的测井数据集 Open source well logging data set 适用于机器学习分析地下储层岩性识别与分类
07012220/oxyplot
A cross-platform plotting library for .NET
07012220/Petrophysics-Python-Series
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
07012220/pyBORACS
Python Borehole Acoustic Simulation
07012220/RF_Log
Random forest for well log imputation and its uncertainty analysis
07012220/spwla_2022_machine_learning_workshop
07012220/spwla_volve
07012220/SPWLA_Webinar_Jan_2021
Sharing the PPT & Notebooks for the SPWLA Webinar Jan 2021
07012220/stress.ai
This code is for stress inversion according to fracture data
07012220/volve-machine-learning
Exploration of machine learning in the Volve field dataset
07012220/welleng
A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.