Porosity prediction from pre-stack seismic data via a data-driven approach

Seismic noise attenuation by signal reconstruction: an unsupervised machine learning approach

(2021) Yang Gao et al.   GEOPHYSICAL PROSPECTING

Fluids and lithofacies prediction based on integration of well-log data and seismic inversion: a machine learning approach

(2021) Luanxiao Zhao et al.   GEOPHYSICS

Elastic FWI for orthorhombic media with lithologic constraints applied via machine learning

(2021) Sagar Singh et al.   GEOPHYSICS

Unsupervised machine learning for time-lapse seismic studies and reservoir monitoring

(2021) Marwa Hussein et al.   Interpretation-A Journal of Subsurface Characterization

Amplitude-versus-angle inversion with adaptive edge-preserving smoothing preconditioning

(2021) Ronghuo Dai et al.   Arabian Journal of Geosciences

PETROPHYSICAL PROPERTIES PREDICTION FROM PRE-STACK SEISMIC DATA USING CONVOLUTIONAL NEURAL NETWORKS

(2020) Vishal Das et al.   GEOPHYSICS

Multitrace first-break picking using an integrated seismic and machine learning method

(2020) Xudong Duan et al.   GEOPHYSICS

Deep learning reservoir porosity prediction based on multilayer long short-term memory network

(2020) Wei Chen et al.   GEOPHYSICS

An improved method for lithology identification based on a hidden Markov model and random forests

(2020) Pu Wang et al.   GEOPHYSICS

Deep Learning a Poro-Elastic Rock Physics Model for Pressure and Saturation Discrimination

(2020) Wolfgang Weinzierl et al.   GEOPHYSICS

A new approach for porosity and permeability prediction from well logs using artificial neural network and curve fitting techniques: A case study of Niger Delta, Nigeria

(2020) Job G. Urang et al.   JOURNAL OF APPLIED GEOPHYSICS

Seismic structure interpretation based on machine learning: A case study in coal mining

(2019) Dong Li et al.   Interpretation-A Journal of Subsurface Characterization

REGULARIZATION STRATEGIES FOR DEEP LEARNING BASED SALT MODEL BUILDING

(2019) Satyakee Sen et al.   Interpretation-A Journal of Subsurface Characterization

CONVOLUTIONAL NEURAL NETWORK FOR SEISMIC IMPEDANCE INVERSION

(2019) Vishal Das et al.   GEOPHYSICS

Semisupervised sequence modeling for elastic impedance inversion

(2019) Motaz Alfarraj et al.   Interpretation-A Journal of Subsurface Characterization

A convolutional neural network approach to deblending seismic data

(2019) Jing Sun et al.   GEOPHYSICS

Learning Time Series Associated Event Sequences With Recurrent Point Process Networks

(2019) Shuai Xiao et al.   IEEE Transactions on Neural Networks and Learning Systems

2-D Seismic Random Noise Attenuation via Self-Paced Nonnegative Dictionary Learning

(2019) Yang Yang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Data Augmentation Using Random Image Cropping and Patching for Deep CNNs

(2019) Ryo Takahashi et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Bayesian linearized petrophysical AVO inversion

(2018) Xiaozheng Lang et al.   GEOPHYSICS

Blocky inversion of multichannel elastic impedance for elastic parameters

(2018) Davoud Karami Mozayan et al.   JOURNAL OF APPLIED GEOPHYSICS

A new petrophysical joint inversion workflow: Advancing on reservoir’s characterization challenges

(2018) Fabio Miotti et al.   Interpretation-A Journal of Subsurface Characterization

Elastic impedance based facies classification using support vector machine and deep learning

(2018) Yohei Nishitsuji et al.   GEOPHYSICAL PROSPECTING

Seismic deconvolution and inversion with erratic data

(2018) Ronghuo Dai et al.   GEOPHYSICAL PROSPECTING

Estimation of petrophysical parameters using seismic inversion and neural network modeling in Upper Assam basin, India

(2018) Triveni Gogoi et al.   Geoscience Frontiers

Mathematical modelling for TOC content prediction with logging parameters by neural networks: a case study of shale gas well in South China

(2018) Yanran Huang et al.   Interpretation-A Journal of Subsurface Characterization

Machine learning technique for the prediction of shear wave velocity using petrophysical logs

(2018) Mohammad Anemangely et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Data Augmentation for Hyperspectral Image Classification With Deep CNN

(2018) Wei Li et al.   IEEE Geoscience and Remote Sensing Letters

Data analysis of potential field methods using geostatistics

(2017) Pejman Shamsipour et al.   GEOPHYSICS

Reservoir properties prediction integrating controlled-source electromagnetic, prestack seismic, and well-log data using a rock-physics framework: Case study in the Hoop Area, Barents Sea, Norway

(2017) Pedro Alvarez et al.   Interpretation-A Journal of Subsurface Characterization

Hybrid combination genetic algorithm and controlled gradient method to train a neural network

(2016) Alexander Kobrunov et al.   GEOPHYSICS

Nonlinear inversion of pre-stack seismic data using variable metric method

(2016) Fanchang Zhang et al.   JOURNAL OF APPLIED GEOPHYSICS

Porosity estimation from pre-stack seismic data in gas-hydrate bearing sediments, Krishna-Godavari basin, India

(2016) Rima Chatterjee et al.   Journal of Natural Gas Science and Engineering

From Feedforward to Recurrent LSTM Neural Networks for Language Modeling

(2015) Martin Sundermeyer et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Petrophysics and rock physics modeling of diagenetically altered sandstone

(2015) Zakir Hossain et al.   Interpretation-A Journal of Subsurface Characterization

Stochastic inversion of seismic PP and PS data for reservoir parameter estimation

(2014) Jinsong Chen et al.   GEOPHYSICS

Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion

(2010) Dario Grana et al.   GEOPHYSICS

Seismic inversion for reservoir properties combining statistical rock physics and geostatistics: A review

(2010) Miguel Bosch et al.   GEOPHYSICS

Estimation of petrophysical parameters by linearized inversion of angle domain pre-stack data

(2009) F. Chiappa et al.   GEOPHYSICAL PROSPECTING

Segmented-Memory Recurrent Neural Networks

(2009) Jinmiao Chen et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS