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A novel data assimilation methodology for predicting lithology based on sequence labeling algorithms
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-84854-9openalex-snapshot
Hidden Markov Models: Estimation and Control
inferredcites →https://doi.org/10.1007/978-1-4020-3610-1_75openalex-snapshot
Hidden Markov Chains for Identifying Geological Features from Seismic Data
inferredcites →https://doi.org/10.1016/j.cageo.2006.12.008openalex-snapshot
Support vector machine for 3D modelling from sparse geological information of various origins
inferredcites →https://doi.org/10.1016/j.csda.2012.09.001openalex-snapshot
Approximate posterior distributions for convolutional two-level hidden Markov models
inferredcites →https://doi.org/10.1023/b:matg.0000028443.75501.d9openalex-snapshot
Estimation of Geological Attributes from a Well Log: An Application of Hidden Markov Chains
inferredcites →https://doi.org/10.1029/2009wr008355openalex-snapshot
A multidimensional, generalized coupled Markov chain model for surface and subsurface characterization
inferredcites →https://doi.org/10.1046/j.1365-246x.1999.00746.xopenalex-snapshot
Inferring the lithology of borehole rocks by applying neural network classifiers to downhole logs: an example from the Ocean Drilling Program
inferredcites →https://doi.org/10.1090/s0002-9904-1967-11751-8openalex-snapshot
An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology
inferredcites →https://doi.org/10.1109/tit.1967.1054010openalex-snapshot
Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
inferredcites →https://doi.org/10.1214/aoms/1177697196openalex-snapshot
A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
inferredcites →https://doi.org/10.1214/aoms/1177699147openalex-snapshot
Statistical Inference for Probabilistic Functions of Finite State Markov Chains
inferredcites →https://doi.org/10.1561/2200000013openalex-snapshot
An Introduction to Conditional Random Fields
inferredcites →https://doi.org/10.24406/publica-fhg-293659openalex-snapshot
Classical probabilistic models and conditional random fields
inferredcites →https://doi.org/10.7551/mitpress/7432.003.0006openalex-snapshot
An Introduction to Conditional Random Fields for Relational Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00603-022-03003-6openalex-snapshot
RETRACTED ARTICLE: Novel Rock Image Classification: The Proposal and Implementation of RockNet
inferred← citeshttps://doi.org/10.1007/s00603-023-03235-0openalex-snapshot
Novel Rock Image Classification: The Proposal and Implementation of HKUDES_Net
inferred← citeshttps://doi.org/10.1016/bs.agph.2020.08.002openalex-snapshot
70 years of machine learning in geoscience in review
inferred← citeshttps://doi.org/10.1016/j.cageo.2017.06.001openalex-snapshot
Learning characteristic natural gamma shale marker signatures in iron ore deposits
inferred← citeshttps://doi.org/10.1016/j.cageo.2026.106106openalex-snapshot
Deep-learning-based hybrid model with iterative lithology constraints for the enhanced prediction of missing well-logs
inferred← citeshttps://doi.org/10.1016/j.cageo.2026.106167openalex-snapshot
Anisotropic resistivity inversion and multiple core data assimilation using physics-guided neural network for improved petrophysical interpretation and uncertainty quantification
inferred← citeshttps://doi.org/10.1016/j.jrmge.2024.09.016openalex-snapshot
Advanced classification of drill core rock type and weathering grade using detection transformer-based artificial intelligence techniques
inferred← citeshttps://doi.org/10.1016/j.marpetgeo.2023.106470openalex-snapshot
Constructing high-resolution stratigraphic frameworks by the application of signal analysis techniques: Example of Balbuena IV sequence, Yacoraite formation, Salta Basin
inferred← citeshttps://doi.org/10.1016/j.petrol.2019.05.084openalex-snapshot
Theoretical development of the history matching method for subsurface characterizations based on simulated annealing algorithm
inferred← citeshttps://doi.org/10.1016/j.petrol.2020.108028openalex-snapshot
Application of conditional generative model for sonic log estimation considering measurement uncertainty
inferred← citeshttps://doi.org/10.1016/j.petrol.2021.108913openalex-snapshot
A lithological sequence classification method with well log via SVM-assisted bi-directional GRU-CRF neural network
inferred← citeshttps://doi.org/10.1016/j.petrol.2021.109345openalex-snapshot
Data-driven sequence labeling methods incorporating the long-range spatial variation of geological data for lithofacies sequence estimation
inferred← citeshttps://doi.org/10.1029/2019jb018204openalex-snapshot
Interpreting the Subsurface Lithofacies at High Lithological Resolution by Integrating Information From Well‐Log Data and Rock‐Core Digital Images
inferred← citeshttps://doi.org/10.1186/s40623-022-01651-0openalex-snapshot
Quantitative logging data clustering with hidden Markov model to assist log unit classification
inferred← citeshttps://doi.org/10.6084/m9.figshare.20064425openalex-snapshot
Additional file 1 of Quantitative logging data clustering with hidden Markov model to assist log unit classification
inferred← citeshttps://doi.org/10.7857/jsge.2015.20.3.051openalex-snapshot
A Development of Markov Chain Monte Carlo History Matching Technique for Subsurface Characterization
inferred← citeshttps://doi.org/10.7857/jsge.2016.21.3.021openalex-snapshot
Comparative Application of Various Machine Learning Techniques for Lithology Predictions
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