表紙画像

Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines

The ensemble learning paradigm has proved to be relevant to solving most challenging industrial problems. Despite its successful application especially in the Bioinformatics, the petroleum industry has not benefited enough from the promises of this machine learning technology. The petroleum industry...

保存先:

書誌詳細
主要な著者:	Fatai Adesina, Anifowose, Jane, Labadin, Abdulazeez, Abdulraheem
フォーマット:	論文
言語:	English
出版事項:	Elsevier Ltd. 2015
主題:	T Technology (General) TJ Mechanical engineering and machinery
オンライン･アクセス:	http://ir.unimas.my/id/eprint/12744/1/Improving-the-prediction-of-petroleum%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/12744/ https://www.scopus.com/record/display.uri?eid=2-s2.0-84912062615&origin=inward&txGid=0
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

類似資料

A Hybrid of Functional Networks and Support Vector Machine Models for the Prediction of Petroleum Reservoir Properties
著者:: Fatai Adesina, Anifowose, 等
出版事項: (2011)

Predicting Petroleum Reservoir Properties from Downhole Sensor Data using an Ensemble Model of Neural Networks
著者:: Fatai Adesina, Anifowose, 等
出版事項: (2013)

Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization
著者:: Fatai Adesina, Anifowose, 等
出版事項: (2015)

Ensemble learning model for petroleum reservoir characterization: A case of feed-forward back-propagation neural networks
著者:: Fatai, Anifowose, 等
出版事項: (2013)

A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction
著者:: Fatai Adesina, Anifowose, 等
出版事項: (2013)

Hybrid intelligent systems in petroleum reservoir characterization and modeling: the journey so far and the challenges ahead
著者:: Fatai Adesina, Anifowose, 等
出版事項: (2017)

Prediction Of Petroleum Reservoir Properties Using Nonlinear Feature Selection And Ensembles Of Computational Intelligence Techniques
著者:: Anifowose, Fatai Adesina
出版事項: (2015)

Ensemble model of Artificial Neural Networks with randomized number of hidden neurons
著者:: Fatai Adesina, Anifowose, 等
出版事項: (2013)

An optimized ensemble for predicting reservoir rock properties in petroleum industry
著者:: Kenari, Seyed Ali Jafari
出版事項: (2013)

Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
著者:: Solihin M.I., 等
出版事項: (2024)

Ensemble Feed-Forward Neural Network and Support Vector Machine for Prediction of Multiclass Malaria Infection
著者:: Jimoh, Rasheed Gbenga, 等
出版事項: (2022)

FURIA stacking ensemble for ASD classification
著者:: Ainie Hayati, Noruzman, 等
出版事項: (2022)

Stacking Ensemble for Pill Image Classification
著者:: Ahammed F.A.A.B.S., 等
出版事項: (2025)

Ozone prediction based on support vector machine
著者:: Tanaskuli, M., 等
出版事項: (2020)

Ozone prediction based on support vector machine
著者:: Tanaskuli M., 等
出版事項: (2023)

Enhancing electricity consumption forecasting in limited dataset: A simple stacked ensemble approach incorporating simple linear and support vector regression for Malaysia
著者:: Chuan, Zun Liang, 等
出版事項: (2025)

Ensemble support vector machines and dempster-shafer evidence theory for machinery multi fault diagnosis
著者:: Hui, Kar Hoou
出版事項: (2019)

Prediction of ventricular fibrillation using support vector machine
著者:: Heng, Wei Wei, 等
出版事項: (2020)

RESERVOIR PROPERTY PREDICTION FROM POST STACK SEISMIC INVERSION DATA
著者:: AUNG, HEIN HTET
出版事項: (2020)

RESERVOIR PROPERTY PREDICTION FROM POST STACK SEISMIC INVERSION DATA
著者:: AUNG, HEIN HTET
出版事項: (2020)

Enhanced Heterogeneous Stacked Ensemble Machine Learning Model For Detecting Nigerian Politically Motivated Cyberhate
著者:: Sallau, Mullah Nanlir
出版事項: (2023)

A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee
著者:: Wong , Wen Yee
出版事項: (2023)

Experimenting the aplicability of support vector machine regression in rainfall prediction
著者:: Sulaiman, Junaida
出版事項: (2005)

Prediction of protein residue contact using support vector machine
著者:: Chan, Weng Howe, 等
出版事項: (2012)

Prediction of protein residue contact using support vector machine
著者:: Chan, Weng Howe, 等
出版事項: (2011)

Protein-protein interactions prediction using support vector machines
著者:: Ahmed Alashwal, Hany Taher
出版事項: (2007)

Carbon Dioxide Emission Prediction Using Support Vector Machine
著者:: Chairul, Saleh, 等
出版事項: (2016)

Time series prediction using support vector machine (SVM)
著者:: Ng Li Koon
出版事項: (2023)

Petroleum reservoir analogues
著者:: Ganat, T.A.-A.O.
出版事項: (2020)

Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
著者:: Tehrany, Mahyat Shafapour, 等
出版事項: (2014)

Manifestation of LiDAR-derived parameters in the spatial prediction of landslides using novel ensemble evidential belief functions and support vector machine models in GIS
著者:: Jebur, Mustafa Neamah, 等
出版事項: (2014)

A heterogeneous ensemble approach for travel time prediction using hybridized feature spaces and support vector regression
著者:: Jawad-ur-Rehman Chughtai, 等
出版事項: (2022)

Forecasting photovoltaic power generation with a stacking ensemble model
著者:: Abdellatif, Abdallah, 等
出版事項: (2022)

Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
著者:: Tehrany, Mahyat Shafapour, 等
出版事項: (2015)

Ensemble based filter feature selection with harmonize Particle Swarm Optimization and Support Vector Machine for optimal cancer classification
著者:: Tengku Ab. Hamid, Tengku Mazlin, 等
出版事項: (2021)

One-class support vector machines for protein-protein interactions prediction
著者:: Alashwal, H., 等
出版事項: (2006)

Predicting uniaxial compressive strength using Support Vector Machine algorithm
著者:: Zakaria, Hafedz, 等
出版事項: (2019)

The effect of kernel functions on cryptocurrency prediction using support vector machines
著者:: Hitam, Nor Azizah, 等
出版事項: (2021)

The effect of Kernel functions on cryptocurrency prediction using support vector machines
著者:: Hitam, Nor Azizah, 等
出版事項: (2022)

The effect of kernel functions on cryptocurrency prediction using support vector machines
著者:: Hitam, Nor Azizah, 等
出版事項: (2022)