Automated Classification of Estuarine Sub‐Depositional Environment Using Sediment Texture
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Automated Classification of Estuarine Sub‐Depositional Environment Using Sediment Texture
Authors
Keywords
-
Journal
JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
Volume 128, Issue 2, Pages -
Publisher
American Geophysical Union (AGU)
Online
2023-01-16
DOI
10.1029/2022jf006891
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost)
- (2022) Taskin Kavzoglu et al. Bulletin of Engineering Geology and the Environment
- Application of machine learning in the identification of fluvial-lacustrine lithofacies from well logs: A case study from Sichuan Basin, China
- (2022) Dongyu Zheng et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Principal component analysis of textural characteristics of fluvio-lacustrine sandstones and controlling factors of sandstone textures
- (2021) Dong-Yu Zheng et al. GEOLOGICAL MAGAZINE
- Sediment textural characteristics of the Ravenglass Estuary; Development of a method to predict palaeo sub-depositional environments from estuary core samples
- (2021) N. Simon et al. SEDIMENTARY GEOLOGY
- Stratigraphy and sedimentary evolution of a modern macro‐tidal incised valley – an analogue for reservoir facies and architecture
- (2021) Claire McGhee et al. SEDIMENTOLOGY
- Centimeter-Scale Lithology and Facies Prediction in Cored Wells Using Machine Learning
- (2021) Thomas Martin et al. Frontiers in Earth Science
- Generating pseudo density log from drilling and logging-while-drilling data using extreme gradient boosting (XGBoost)
- (2020) Ruizhi Zhong et al. INTERNATIONAL JOURNAL OF COAL GEOLOGY
- Developing 3D Geological and Hydrogeological models for the Low Level Waste Repository site, west Cumbria, UK
- (2020) C. G. Coleman et al. Quarterly Journal of Engineering Geology and Hydrogeology
- Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
- (2020) Wengang Zhang et al. Geoscience Frontiers
- A Data-Driven Approach for Lithology Identification Based on Parameter-Optimized Ensemble Learning
- (2020) Zhixue Sun et al. Energies
- How To Quantify Clay-Coat Grain Coverage in Modern and Ancient Sediments
- (2019) Luke J. Wooldridge et al. JOURNAL OF SEDIMENTARY RESEARCH
- Compositional variation in modern estuarine sands: Predicting major controls on sandstone reservoir quality
- (2019) Joshua Griffiths et al. AAPG BULLETIN
- Evaluation of machine learning methods for formation lithology identification: A comparison of tuning processes and model performances
- (2018) Yunxin Xie et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- The origin of clay-coated sand grains and sediment heterogeneity in tidal flats
- (2018) Luke J. Wooldridge et al. SEDIMENTARY GEOLOGY
- Detrital clay grain coats in estuarine clastic deposits: origin and spatial distribution within a modern sedimentary system, the Gironde Estuary (south-west France)
- (2018) Maxime Virolle et al. SEDIMENTOLOGY
- Clay coat diversity in marginal marine sediments
- (2018) Luke J. Wooldridge et al. SEDIMENTOLOGY
- Detrital Clay Coats, Clay Minerals, and Pyrite: A Modern Shallow-Core Analogue For Ancient and Deeply Buried Estuarine Sandstones
- (2018) Joshua Griffiths et al. JOURNAL OF SEDIMENTARY RESEARCH
- Estuarine clay mineral distribution: Modern analogue for ancient sandstone reservoir quality prediction
- (2018) Joshua Griffiths et al. SEDIMENTOLOGY
- Biofilm origin of clay-coated sand grains
- (2017) L.J. Wooldridge et al. GEOLOGY
- Clay-Coated Sand Grains In Petroleum Reservoirs: Understanding Their Distribution Via A Modern Analogue
- (2017) Luke J. Wooldridge et al. JOURNAL OF SEDIMENTARY RESEARCH
- GPfit: AnRPackage for Fitting a Gaussian Process Model to Deterministic Simulator Outputs
- (2015) Blake MacDonald et al. Journal of Statistical Software
- Probabilistic machine learning and artificial intelligence
- (2015) Zoubin Ghahramani NATURE
- Effective grain size distribution analysis for interpretation of tidal–deltaic facies: West Bengal Sundarbans
- (2015) R.P. Flood et al. SEDIMENTARY GEOLOGY
- Distinguishing different sedimentary facies in a deltaic system
- (2014) Barendra Purkait et al. SEDIMENTARY GEOLOGY
- Holocene and Lateglacial relative sea-level change in north-west England: implications for glacial isostatic adjustment models
- (2012) Jeremy M. Lloyd et al. JOURNAL OF QUATERNARY SCIENCE
- A systematic analysis of performance measures for classification tasks
- (2009) Marina Sokolova et al. INFORMATION PROCESSING & MANAGEMENT
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