标题
Porosity prediction from pre-stack seismic data via a data-driven approach
作者
关键词
-
出版物
JOURNAL OF APPLIED GEOPHYSICS
Volume 211, Issue -, Pages 104947
出版商
Elsevier BV
发表日期
2023-02-15
DOI
10.1016/j.jappgeo.2023.104947
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- 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
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