i樱果's starred repositories
Interactive-Seismic-Data-Section-Plot
This repository contains a Python script that uses the Plotly library to create an interactive web-based application for plotting seismic data sections from SEG-Y files.
CNN-Based-Seismic-Fault-Prediction
Using Convolution Neural Network for Seismic Fault Mapping
litho_class
Identify the lithology with well logging data - 岩性智能识别
Prediction-of-igneous-reservoir-parameters
基于深度学习的火成岩储层参数预测
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
Oil-production-time-series-forecasting
Develop the time series recurrent neural network algorithms using LSTM and ARIMA in order 1) to forecast oil production of existing wells in complex fractured reservoir using input data like well's production and injection data; and 2) to compare which of this tool (LSTM or ARIMA) is better
fractoolbox
Python tools for structural geology and borehole image analysis which includes data handling, frequency and geometric analysis, and reservoir geomechanics.
Litho-Classification
Handle classification within volcanic formation using supervised learning.
2020-ml-contest
FORCE 2020: Machine Predicted Lithology
Lithology-Classification
Lithology identification by using well log data is an initial and fundamental step within petroleum geosciences
Lithology_Prediction_Deep_Learning
In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction
FORCE-2020-Lithology
A collection of notebooks exploring ideas for the Force 2020 Lithology Classification Challenge.
Easy-deep-learning-with-Keras
Keras tutorial for beginners (using TF backend)