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100-days-of-ml-code

100 Days of ML Coding

ai-in-well-logging

人工智能在石油测井上的应用包括采用机器学习，深度学习等相关方法进行岩性识别与相关测井曲线的回归。The application of artificial intelligence in well logging includes the use of machine learning, deep learning and other related methods for lithology identification and regression of related well logging data.

coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

fractoolbox

Python tools for structural geology and borehole image analysis which includes data handling, frequency and geometric analysis, and reservoir geomechanics.

intelldrilling

智慧钻井

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

machine-learning-oil-gas-industry

Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli

numpy-

开源的测井数据集 Open source well logging data set

oil-and-gas-data-analysis

pe-datamining

data mining about Petroleum Engineering, by Rock Mechanics Lab

petroleum-engineering-rock-mechanics

Homework of Rock Mechanics

petrophysics-python-series

A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

ppvalves

Pore-pressure valves in a 1D permeable, pore-pressure diffusive channe.

practical_ml_tutorial_facies_examp

pygeopressure

Pore pressure prediction using seismic velocity and well log data

reservoirstresses

Functions for calculating the time-dependent displacements and stresses due to fluid extraction and diffusion from a horizontal reservoir

web_app_ml_log_streamlit

This is for data web app , log prediction using ML

well_log_prediction

Prediction of Equinor Volve well logs Data

wellbore_stability

This is class project I conducted as team leader. I developed Matlab code to calculate the wellbore stability considering Mohr-Columb failure criteria in gemomechanical calculations. Example cases was studied using the code and based on results conclusions about wellbore stability during drilling was reached.

wellbot

Using Artificial Neural Network to predict wellbore stability in the oil and gas industry

welly

Well handling