Application of various machine learning techniques in predicting coal wettability for CO2 sequestration purpose
出版年份 2022 全文链接
标题
Application of various machine learning techniques in predicting coal wettability for CO2 sequestration purpose
作者
关键词
Machine learning, Coal wettability, Random forests
出版物
INTERNATIONAL JOURNAL OF COAL GEOLOGY
Volume 252, Issue -, Pages 103951
出版商
Elsevier BV
发表日期
2022-02-11
DOI
10.1016/j.coal.2022.103951
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。- Unconfined compressive strength (UCS) prediction in real-time while drilling using artificial intelligence tools
- (2021) Ahmed Gowida et al. NEURAL COMPUTING & APPLICATIONS
- Models to estimate the elastic modulus of weak rocks based on least square support vector machine
- (2020) Mehmet Cemal Acar et al. Arabian Journal of Geosciences
- Decision tree-based modeling of CO2 equilibrium absorption in different aqueous solutions of absorbents
- (2019) Hamidreza Yarveicy et al. Environmental Progress & Sustainable Energy
- Impact of CO2 injection on wettability of coal at elevated pressure and temperature
- (2019) Chuanjie Zhu et al. International Journal of Greenhouse Gas Control
- An intelligent framework for short-term multi-step wind speed forecasting based on Functional Networks
- (2018) Adil Ahmed et al. APPLIED ENERGY
- Road Surface State Recognition Based on SVM Optimization and Image Segmentation Processing
- (2017) Jiandong Zhao et al. JOURNAL OF ADVANCED TRANSPORTATION
- Effect of Water Salinity on Coal Wettability During CO2 Sequestration in Coal Seams
- (2016) Ahmed Farid Ibrahim et al. ENERGY & FUELS
- CO 2 -wettability of low to high rank coal seams: Implications for carbon sequestration and enhanced methane recovery
- (2016) Muhammad Arif et al. FUEL
- A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction
- (2013) Fatai Anifowose et al. NEURAL COMPUTING & APPLICATIONS
- Fluid/Rock Interactions During CO2 Sequestration in Deep Saline Carbonate Aquifers: Laboratory and Modeling Studies
- (2013) Ibrahim Mohamed et al. SPE JOURNAL
- Effect of coal petrology and pressure on wetting properties of wet coal for CO2 and flue gas storage
- (2012) N. Shojai Kaveh et al. International Journal of Greenhouse Gas Control
- Intelligent Prediction of Differential Pipe Sticking by Support Vector Machine Compared With Conventional Artificial Neural Networks: An Example of Iranian Offshore Oil Fields
- (2012) Reza Jahanbakhshi et al. SPE DRILLING & COMPLETION
- Sub- and super-critical carbon dioxide flow behavior in naturally fractured black coal: An experimental study
- (2011) M.S.A. Perera et al. FUEL
- Contact angles in CO2-water-coal systems at elevated pressures
- (2011) Richard Sakurovs et al. INTERNATIONAL JOURNAL OF COAL GEOLOGY
- A review of coal properties pertinent to carbon dioxide sequestration in coal seams: with special reference to Victorian brown coals
- (2010) M. S. A. Perera et al. Environmental Earth Sciences
- Geomechanical parameters identification by particle swarm optimization and support vector machine
- (2009) Hong-bo Zhao et al. APPLIED MATHEMATICAL MODELLING
- Capillary Pressure and Wettability Behavior of CO2 Sequestration in Coal at Elevated Pressures
- (2008) Willem-Jan Plug et al. SPE JOURNAL
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started