70 years of machine learning in geoscience in review (2020-06-16T00:00:00.000000Z)

TL;DR

This review gives an overview of the development of machine learning in geoscience and explores the shift from mathematical fundamentals and knowledge in software development toward skills in model validation, applied statistics, and integrated subject matter expertise.

Authors

J. Dramsch

1 papers

TL;DR

Authors

References239 items

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Instance Segmentation of Benthic Scale Worms at a Hydrothermal Site

SaltNet: A production-scale deep learning pipeline for automated salt model building

5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Predicting Landslides Using Contour Aligning Convolutional Neural Networks

Self-Training With Noisy Student Improves ImageNet Classification

Deep Unsupervised 4-D Seismic 3-D Time-Shift Estimation With Convolutional Neural Networks

Comparison of Recursive Neural Network and Markov Chain Models in Facies Inversion

Benchmarking a Catchment-Aware Long Short-Term Memory Network (LSTM) for Large-Scale Hydrological Modeling

Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets

A Deeper Look into 'Deep Learning of Aftershock Patterns Following Large Earthquakes': Illustrating First Principles in Neural Network Physical Interpretability

Probabilistic Seismic Interpretation Using Bayesian Neural Networks

Deep learning and its application in geochemical mapping

The Application of Long Short-Term Memory(LSTM) Method on Displacement Prediction of Multifactor-Induced Landslides

Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks

One neuron versus deep learning in aftershock prediction

Detection and Classification of Continuous Volcano-Seismic Signals With Recurrent Neural Networks

Machine learning for data-driven discovery in solid Earth geoscience

A Mobile-Based Deep Learning Model for Cassava Disease Diagnosis

Do ImageNet Classifiers Generalize to ImageNet?

GANSynth: Adversarial Neural Audio Synthesis

Combining Physically Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn From Mismatch?

Learning Not to Learn: Training Deep Neural Networks With Biased Data

Gaussian Mixture Models For Robust Unsupervised Scanning-Electron Microscopy Image Segmentation Of North Sea Chalk

Machine Learning in Seismology: Turning Data into Insights

A Visual Exploration of Gaussian Processes

Verde: Processing and gridding spatial data using Green's functions

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

Deep-learning seismic facies on state-of-the-art CNN architectures

Petrophysical property estimation from seismic data using recurrent neural networks

Using generative adversarial networks to improve deep-learning fault interpretation networks

Deep learning of aftershock patterns following large earthquakes

Convolutional neural networks for automated seismic interpretation

Machine learning approaches for petrographic classification of carbonate-siliciclastic rocks using well logs and textural information

Prioritizing Ground‐Motion Validation Metrics Using Semisupervised and Supervised Learning

Fifty Years of Kriging

3D Convolutional Neural Networks for Fault Interpretation

Automated Top Salt Interpretation Using a Deep Convolutional Net

Unsupervised Machine Learning: K-means Clustering Velocity Semblance Auto-Picking

Stochastic Seismic Waveform Inversion Using Generative Adversarial Networks as a Geological Prior

Successful leveraging of image processing and machine learning in seismic structural interpretation: A review

Rapid seismic domain transfer: Seismic velocity inversion and modeling using deep generative neural networks

Generalized Seismic Phase Detection with Deep Learning

Classification of lithostratigraphic and alteration units from drillhole lithogeochemical data using machine learning: A case study from the Lalor volcanogenic massive sulphide deposit, Snow Lake, Manitoba, Canada

P Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning

A deep convolutional encoder-decoder neural network in assisting seismic horizon tracking

Well-Log and Seismic Data Integration for Reservoir Characterization: A Signal Processing and Machine-Learning Perspective

Machine Learning for Volcano-Seismic Signals: Challenges and Perspectives

PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method

Conditioning of three-dimensional generative adversarial networks for pore and reservoir-scale models

Generating Realistic Geology Conditioned on Physical Measurements with Generative Adversarial Networks

Rock typing in the Upper Devonian-Lower Mississippian Woodford Shale Formation, Oklahoma, USA

Estimating the Physical State of a Laboratory Slow Slipping Fault from Seismic Signals

Seismic Full-Waveform Inversion Using Deep Learning Tools and Techniques

CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks

A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists

Generating Seismograms with Deep Neural Networks

Sweet Spot Interpretation from Multiple Attributes: Machine Learning and Neural Networks Technologies

Automatic differentiation in PyTorch

Estimating Fault Friction From Seismic Signals in the Laboratory

Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition

Modeling flow and transport in fracture networks using graphs.

A machine learning approach to facies classification using well logs

Seismic-fault detection based on multiattribute support vector machine analysis

Deep Learning for Medical Image Analysis

Training‐Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network

Parametrization and generation of geological models with generative adversarial networks

druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico.

Automatic, geologic layer-constrained well-seismic tie through blocked dynamic warping

Deep Learning in Medical Image Analysis.

Deep Learning for Image-Based Cassava Disease Detection

Automated facies prediction in drillholes using machine learning

Carbonate Reservoir Cementation Factor Modeling Using Wireline Logs and Artificial Intelligence Methodology

Machine Learning can extract the information needed for modelling and data analysing from unstructured documents

Multi-attribute K-means Cluster Analysis for Salt Boundary Detection

Attention is All you Need

Salt Classification Using Deep Learning