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exploratory-data-analysis

facies-classification

This notebook demonstrates how to train a machine learning algorithm to predict facies from well log data.

facies-classification-from-well-logs

Application of machine learning methods to the problem of facies classification from well logs (With data preproccesing)

facies-classification-machine-learning

facies-classification-using-machine-learning

facies-percentage

Calculate facies percentage within specific intervals

facies-prediction-tip160

Training "Boosted Trees"-models and CNNs to predict facies type based on seismic data. Underlying Kaggle-competition: https://github.com/seg/2016-ml-contest

facies_classification

facies_classification_benchmark

The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).

facies_classification_svm

facies_neural_net

faciesclassification

Facies classification from well log data using machine learning

faciesclassification-tensorflow

Machine Learning Algorithm using tensorflow to classify facies from well log data

fastdtw

A Python implementation of FastDTW

fault_net

Fault detection software for seismic data

faultnet

fault picking with 3D-UNets

faults

faultseg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

fcnvmb-deep-learning-based-seismic-velocity-model-building

Deep-learning inversion: A next-generation seismic velocity model building method

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

fem-reservoir-drainage-3d

Compares analytical/numerical results for the drainage of a single well.

fluidgeo-simulator

FEM simulator of fluid-geomechanics coupling in unconventional petroleum reservoirs.

force-2020-competition

force-2020-lithology

A collection of notebooks exploring ideas for the Force 2020 Lithology Classification Challenge.

force-2020-machine-learning-competition

the results, code and the data for the Force 2020 Machine learning competition after the completion of the competition in October 2020.

force-2020-machine-learning-competition_predict-lithology-eda

Exploratory Data Analysis for the Lithology prediction part of the 2020 FORCE Machine Learning Contest

force-ml-2020-wells

force2020_lith_prediction

force2020_priv

force_ml_lithology

Repository for the FORCE 2020 Machine Lithology Prediction competition