Machine-learning-based porosity estimation from multifrequency poststack seismic data
出版年份 2022 全文链接
标题
Machine-learning-based porosity estimation from multifrequency poststack seismic data
作者
关键词
-
出版物
GEOPHYSICS
Volume 87, Issue 5, Pages M217-M233
出版商
Society of Exploration Geophysicists
发表日期
2022-06-24
DOI
10.1190/geo2021-0754.1
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media
- (2021) Javier E. Santos et al. TRANSPORT IN POROUS MEDIA
- Repeatability enhancement of time-lapse seismic data via a convolutional autoencoder
- (2021) Hyunggu Jun et al. GEOPHYSICAL JOURNAL INTERNATIONAL
- A deep learning-accelerated data assimilation and forecasting workflow for commercial-scale geologic carbon storage
- (2021) Hewei Tang et al. International Journal of Greenhouse Gas Control
- Tuning machine learning dropout for subsurface uncertainty model accuracy
- (2021) Eduardo Maldonado-Cruz et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- PoreFlow-Net: a 3D c`onvolutional neural network to predict fluid flow through porous media
- (2020) Javier E. Santos et al. ADVANCES IN WATER RESOURCES
- Semi‐auto horizon tracking guided by strata histograms generated with transdimensional Markov‐chain Monte Carlo
- (2020) Yongchae Cho et al. GEOPHYSICAL PROSPECTING
- Seismic fault detection using an encoder–decoder convolutional neural network with a small training set
- (2019) Shengrong Li et al. Journal of Geophysics and Engineering
- Trans-dimensional Markov chain Monte Carlo inversion of sound speed and temperature: Application to Yellow Sea multichannel seismic data
- (2019) Hyunggu Jun et al. JOURNAL OF MARINE SYSTEMS
- Accelerating 2D frequency-domain full-waveform inversion via fast wave modeling using a model reduction technique
- (2019) Yongchae Cho et al. GEOPHYSICS
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
- (2018) Tom Young et al. IEEE Computational Intelligence Magazine
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Quantifying the effects of depositional environment on deep saline formation co2 storage efficiency and rate
- (2018) Nicholas W. Bosshart et al. International Journal of Greenhouse Gas Control
- Quasi 3D transdimensional Markov-chain Monte Carlo for seismic impedance inversion and uncertainty analysis
- (2018) Yongchae Cho et al. Interpretation-A Journal of Subsurface Characterization
- Reverse-time migration via frequency-adaptive multiscale spatial grids.
- (2018) Yongchae Cho et al. GEOPHYSICS
- History matching of channel reservoirs using ensemble Kalman filter with continuous update of channel information
- (2016) Honggeun Jo et al. ENERGY EXPLORATION & EXPLOITATION
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- (2015) Kaiming He et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now