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My personal work on the 2020 SPWLA PDDA Sonic Prediction Competition
SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis
Public repo for DeepLearning.AI MLEP Specialization
Code for "Machine Learning for Physicists" lecture that I joined in 2020
Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli
Open Machine Learning Course
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
Monte Carlo estimation of reservoir reserves.
The MultiScale Network for hierarchical regression (MS-Net) performs 3D regression based on a hierarchical principle: coarse inputs provide broad information about the data, and progressively finer-scale inputs can be used to refine this information.
Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"
This repository contains Matlab code describing a operational model of the reservoir network in the Nechí catchment, Colombia, and a behavioural component simulating operational strategies depending on 12 parameters. The codes are directly related to the publication (in submission): "Multi-objective optimization of physically based operational rules for multi-reservoir systems" - J. Ritter, G. Corzo, D.P. Solomatine, H. Angarita (2017)
Graphs for Everyone
开源的测井数据集 Open source well logging data set
Open geoscience datasets available in open databases from Google Drive, SEG Wiki, and US DoE Geothermal Data Repository OpenEi
openLBMPM is an open source lattice Boltzmann method (LBM) package for multicomponent and multiphase (MCMP) flow and transport in porous media. Currently, it includes Shan-Chen method and color gradient method for MCMP system. There are two options for Shan-Chen method: (1) Original Shan-Chen method, which integrates the force term to the equilibrium velocity and cannot reach high viscosity ratio; (2) Explicit forcing model developed by M.Porter et al (2012). For color gradient model, the methods developed by Liu et.al (2014), Huang et al (2014) and Takashi et al (2018) are included. For running the codes, CUDA and numba (from Anaconda) are required
Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.
SPWLA PPDA 2020
We have used Mihai's PetroGG and modified the program to be used with our shaley-sand Gulf Coast data. In this version we are using Vshale and not Vclay, and we have added Waxman-Smits and Dual-Water saturation models appropriate for these data.
Series of tutorials and codes for Petroleum Data Analytics & ML
The final project at university using machine learning and deep learning to predict oil and gas production
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
My pytorch based implementation of the paper 'Limitations of Physics Informed Machine Learning for Nonlinear Two-Phase Transport in Porous Media'
PyTorch Implementation of Physics-informed Neural Networks
TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
ES-MDA for updating parameters based on data conditioning
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
3D CNN to predict single-phase flow velocity fields
Predicting hydrogen storage in nanoporous materials using meta-learning
Progressive Growing of GANs for Improved Quality, Stability, and Variation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.