ZZC2002ZZC

ZZC2002ZZC's Stars

• jonnymaserati/welleng

  A collection of Wells/Drilling Engineering tools, focused on well trajectory planning for the time being.

  Language:Python11231

• s-marton/GRANDE

  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

  Language:Jupyter Notebook706

• sunyingjian/numpy-

  开源的测井数据集 Open source well logging data set 适用于机器学习分析地下储层岩性识别与分类

  Language:Jupyter Notebook6011

• mardani72/Lithology_Prediction_Deep_Learning

  In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction

  Language:Jupyter Notebook125

• Nilesh-Singhal/Force_2020_Classification

  Check out my solution for FORCE 2020 Lithology Classification Contest. The objective of the competition is to create machine learning model to correctly predict lithology labels using provided well logs, provided NPD Lithostratigraphy and well location X,Y position

  Language:Jupyter Notebook72

• hemi84/Neural-Network-classification-of-geophysical-logs-to-determine-lithology

  A neural network classification model has been developed to determine lithology from geophysical logs

  Language:Jupyter Notebook1

• RamySaleem/Machine-Predict-Lithologies-Using-Wireline-logs

  To identify lithologies, geoscientists use subsurface data such as wireline logs and petrophysical data. However, this process is often tedious, repetitive, and time-consuming. This project aims to use machine learning techniques to predict lithology from petrophysical logs, which are direct indicators of lithology.

  Language:Jupyter Notebook112

• obehi-atita/Lithology-Classification-using-ML

  Application of machine learning-based algorithms to lithology classification using geophysical log data.

  Language:Jupyter Notebook1