Porosity prediction from prestack seismic data via deep learning: incorporating a low-frequency porosity model

Absolute acoustic impedance inversion using convolutional neural networks with transfer learning

(2023) Shaoyong Liu et al.   GEOPHYSICS

Ensemble Deep Learning-Based Porosity Inversion From Seismic Attributes

(2023) Jianguo Song et al.   IEEE Access

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

(2023) Naxia Yang et al.   JOURNAL OF APPLIED GEOPHYSICS

Intelligent modeling with physics-informed machine learning for petroleum engineering problems

(2023) Chiyu Xie et al.   Advances in Geo-Energy Research

Acoustic impedance inversion in coal strata using the priori constraint-based TCN-BiGRU method

(2023) Suzhen Shi et al.   Advances in Geo-Energy Research

Seismic impedance inversion using a multi‐input neural network with a two‐step training strategy

(2022) Jinyu Meng et al.   GEOPHYSICAL PROSPECTING

Building subsurface models with horizon-guided interpolation and deep learning: Application to the Volve field data

(2022) Shangsheng Yan et al.   GEOPHYSICS

Machine-learning-based porosity estimation from multifrequency poststack seismic data

(2022) Honggeun Jo et al.   GEOPHYSICS

Domain knowledge-guided data-driven prestack seismic inversion using deep learning

(2022) Jian Zhang et al.   GEOPHYSICS

Robust deep learning seismic inversion with a priori initial model constraint

(2021) Jian Zhang et al.   GEOPHYSICAL JOURNAL INTERNATIONAL

De-aliased seismic data interpolation using a deep learning-based prediction-error filter

(2021) Wenqian Fang et al.   GEOPHYSICS

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

(2021) Luanxiao Zhao et al.   GEOPHYSICS

Deep learning for multidimensional seismic impedance inversion

(2021) Xinming Wu et al.   GEOPHYSICS

Porosity Prediction With Uncertainty Quantification From Multiple Seismic Attributes Using Random Forest

(2021) Caifeng Zou et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Deep learning network optimization and hyperparameter tuning for seismic lithofacies classification

(2021) Michael Jervis et al.   Leading Edge

Deep carbonate reservoir characterisation using multi-seismic attributes via machine learning with physical constraints

(2021) Yuanyuan Chen et al.   Journal of Geophysics and Engineering

Estimation of reservoir porosity based on seismic inversion results using deep learning methods

(2020) Runhai Feng   Journal of Natural Gas Science and Engineering

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

(2020) Vishal Das et al.   GEOPHYSICS

Well-Logging Constrained Seismic Inversion Based on Closed-Loop Convolutional Neural Network

(2020) Yuqing Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Physics-guided deep learning for predicting geological drilling risk of wellbore instability using seismic attributes data

(2020) Zhi Geng et al.   ENGINEERING GEOLOGY

APPLYING MACHINE LEARNING TO 3D SEISMIC IMAGE DENOISING AND ENHANCEMENT

(2019) Enning Wang et al.   Interpretation-A Journal of Subsurface Characterization

A comparison of deep machine learning and Monte Carlo methods for facies classification from seismic data

(2019) Dario Grana et al.   GEOPHYSICS

Improved well-log classification using semisupervised label propagation and self-training, with comparisons to popular supervised algorithms

(2019) Michael W. Dunham et al.   GEOPHYSICS

The equivalent pore aspect ratio as a tool for pore type prediction in carbonate reservoirs

(2018) François Fournier et al.   AAPG BULLETIN

CO2 saturation estimates at Sleipner (North Sea) from seismic tomography and rock physics inversion

(2018) Hong Yan et al.   GEOPHYSICAL PROSPECTING

Effective medium modeling: How to efficiently infer porosity from seismic data?

(2015) Mathilde Adelinet et al.   Interpretation-A Journal of Subsurface Characterization

A new technique for lithology and fluid content prediction from prestack data: An application to a carbonate reservoir

(2015) Kamal Hami-Eddine et al.   Interpretation-A Journal of Subsurface Characterization

Quantitative geophysical pore-type characterization and its geological implication in carbonate reservoirs

(2013) Luanxiao Zhao et al.   GEOPHYSICAL PROSPECTING