Pinned Repositories
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!
intellDrilling
智慧钻井
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
Petrophysics-Python-Series
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
Practical_ML_Tutorial_Facies_examp
Web_App_ML_Log_streamlit
This is for data web app , log prediction using ML
welly
Well handling
BowersE's Repositories
BowersE/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.
BowersE/intellDrilling
智慧钻井
BowersE/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
BowersE/Petrophysics-Python-Series
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
BowersE/Practical_ML_Tutorial_Facies_examp
BowersE/Web_App_ML_Log_streamlit
This is for data web app , log prediction using ML
BowersE/welly
Well handling
BowersE/100-Days-Of-ML-Code
100 Days of ML Coding
BowersE/Coursera-ML-AndrewNg
use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm
BowersE/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
BowersE/fractoolbox
Python tools for structural geology and borehole image analysis which includes data handling, frequency and geometric analysis, and reservoir geomechanics.
BowersE/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
BowersE/numpy-
开源的测井数据集 Open source well logging data set
BowersE/Oil-and-Gas-data-analysis
BowersE/PE-DataMining
data mining about Petroleum Engineering, by Rock Mechanics Lab
BowersE/Petroleum-Engineering-Rock-Mechanics
Homework of Rock Mechanics
BowersE/PPvalves
Pore-pressure valves in a 1D permeable, pore-pressure diffusive channe.
BowersE/pyGeoPressure
Pore pressure prediction using seismic velocity and well log data
BowersE/ReservoirStresses
Functions for calculating the time-dependent displacements and stresses due to fluid extraction and diffusion from a horizontal reservoir
BowersE/Well_log_Prediction
Prediction of Equinor Volve well logs Data
BowersE/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.
BowersE/WellBot
Using Artificial Neural Network to predict wellbore stability in the oil and gas industry