sunyingjian / AI-in-well-loggingLinks
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.
☆153Updated 2 months ago
Alternatives and similar repositories for AI-in-well-logging
Users that are interested in AI-in-well-logging are comparing it to the libraries listed below
Sorting:
- 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☆83Updated 3 years ago
- Seismic fault detection in real data using Transfer Learning from a Convolutional Neural Network pre-trained with synthetic seismic data …☆47Updated 4 years ago
- ☆38Updated 4 years ago
- Lithology identification by using well log data is an initial and fundamental step within petroleum geosciences☆11Updated last year
- Exploring 118 wells of 1 MM+ rows and 29 columns of wireline petrophysical data using the Pandas library. Analysed & Visualised wirelin…☆13Updated 6 months ago
- Exploring various geoscience Python libraries (including Lasio, Welly and Striplog) with the Volve Field data set☆10Updated 2 years ago
- Neural network based petrophysical property inversion☆36Updated 5 years ago
- ☆24Updated 3 years ago
- Repository for the 2021 Machine Learning workshop☆13Updated 4 years ago
- This is a repository for the paper "Transformer-based Missing Well Log Prediction".☆16Updated last year
- Unsupervised seismic facies analysis via deep convolutional autoencoders.☆24Updated 3 years ago
- An example of carrying out unsupervised cluster analysis for facies prediction from Well Logs☆18Updated 4 years ago
- Deep Convolutional Neural Network for Automatic Fault Recognition from 3D Seismic Dataset☆72Updated 3 years ago
- A stacking method of machine learning applied to geological geophysical datasets for 3D geological modeling☆19Updated 5 years ago
- This project attempts to construct a missing well log from other available well logs, more specifically an NMR well log from the measured…☆36Updated 4 years ago
- Deep-learning seismic facies on state-of-the-art CNN architectures☆82Updated 3 years ago
- Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)☆253Updated 3 years ago
- Convolutional neural network for seismic impedance inversion☆83Updated 5 years ago
- the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.☆157Updated 2 years ago
- ☆11Updated 2 years ago
- olivesgatech / Estimation-of-acoustic-impedance-from-seismic-data-using-temporal-convolutional-networkThe repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Sei…☆48Updated 3 years ago
- Codes and data for the paper: M. Alfarraj and G. AlRegib, "Semi-Supervised Learning for Acoustic Impedance Inversion," in Expanded Abstra…☆18Updated 4 years ago
- The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Sei…☆11Updated 4 years ago
- Neural network based petrophysical property inversion☆12Updated 5 years ago
- seismic segmentation and geobody detection in 3D seismic reflection data☆13Updated last year
- The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facie…☆68Updated 5 years ago
- ☆41Updated 5 years ago
- The code describes how unsupervised ML can be applied to well log data for efficient clustering. A part of the well log data is provided.☆49Updated 6 years ago
- Using convolutional autoencoders to remove random noise from seismic data.☆17Updated 4 years ago
- dataset of CNN and U-net for earthquake classification and phase picking☆24Updated 4 years ago