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3d-cnnpca

Code for 3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels

a-machine-learning-approach-to-predict-the-corrosion-rate-of-co2-transport-pipelines

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.

ai_prediction_with_temporal_convolutional_network

The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Technical Program Expanded Abstracts, 2019.

ampp2024_s-co2_corr_pred

Contains the code and data set used for the AMPP 2024 Conference and Expo paper "Predicting Corrosion Severity of Pipeline Steels in Supercritical CO2 Environments using Supervised Machine Learning".

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

bpipmds

Best Practices for Computing Interfacial Properties from Molecular Dynamics Simulations

carbonates-estimate-petrophysical-rock-types-prt-from-normalized-core-data-using-knn

Predict Petrophysical Rock Types (PRT) using KNN

ccsnet_v1.0

CCSNet: a deep learning modeling suite for CO2 storage

cfd-lbm-flow-through-porous-media

Implemented LBM fluid simulation to model flow through porous media using Matlab Code

chartbook-neutron-density-porosity-estimations-using-knn

Calculate a Chart Book type of Neutron Density log analysis Porosity using Python's KNN

chatgpt

Reverse engineered ChatGPT API

chinese-book

《深度学习：一起玩转TensorLayer》资源分享、讨论

classification-using-kolmogorov-arnold-networks-

This repository consists of a jupyter Notebook for implementation of KAN's for classification task. AIDS Disease classification data has been used.

classification_lithology

Predict lithology in well log data using resnet-type classification model

cnn-for-asi

Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation

cnn_attention_models

CNN with attention and CNN_LSTM_attention(pytorch)

cnnpca_esmda

combined_nmr_conventional_logs-shaley-sand-analysis-using-petrogg

Mihai's PetroGG modified to be used with our shaly-sand Gulf Coast NMR data.

comparison-of-capacitance-resistance-model-versus-machine-learning-algorithm-for-history-matching

corrosionaedatasetforcarbonsteelpipeline

crmwaterflood_matlab

capacitance resistance model for waterflood in matlab

cs373groupproject

Purdue University CS 373 2018 Fall Group Project - Detect George W. Bush's images from database

dafi

DAFI: Ensemble based data assimilation and field inversion, repository for internal development

darsim

daslab

Distributed acoustic sensing lab developed @ RITE CO2 Storage Research Group

dataanalyticsforengineering

Machine Learning Based on Real-Time Geosteering Data. The data is acquired from Volve Fields in Norway. ' The project is published in Society of Petroleum Engineers Journal: Looking Ahead of the Bit Using Surface Drilling and Petrophysical Data: Machine-Learning-Based Real-Time Geosteering in Volve Field. doi:10.2118/199882-PA

datasets

A collection of datasets of ML problem solving

deep-learning-for-time-series-forecasting

Deep Learning for Time Series Forecasting