Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models

Prediction of Reservoir Quality from Log-Core and Seismic Inversion Analysis with an Artificial Neural Network: A Case Study from the Sawan Gas Field, Pakistan

(2020) Zhang Qiang et al.   Energies

Sand fraction prediction from seismic attributes using optimized support vector regression in an oil reservoir

(2020) Mohammad Sadegh Amiri Bakhtiar et al.   Earth Science Informatics

Machine Learning: A Useful Tool in Geomechanical Studies, a Case Study from an Offshore Gas Field

(2020) Seyedalireza Khatibi et al.   Energies

Lithofacies prediction in non-cored wells from the Sif Fatima oil field (Berkine basin, southern Algeria): A comparative study of multilayer perceptron neural network and cluster analysis-based approaches

(2020) Ouafi Ameur-Zaimeche et al.   JOURNAL OF AFRICAN EARTH SCIENCES

Lithofacies identification using support vector machine based on local deep multi-kernel learning

(2020) Xing-Ye Liu et al.   Petroleum Science

Machine Learning Approach to Model Rock Strength: Prediction and Variable Selection with Aid of Log Data

(2020) Mohammad Islam Miah et al.   ROCK MECHANICS AND ROCK ENGINEERING

Application of predictive data analytics to model daily hydrocarbon production using petrophysical, geomechanical, fiber-optic, completions, and surface data: A case study from the Marcellus Shale, North America

(2019) Shuvajit Bhattacharya et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Support Vector Machine Algorithm for Automatically Identifying Depositional Microfacies Using Well Logs

(2019) Dahai Wang et al.   Sustainability

Ensemble-based kernel learning for a class of data assimilation problems with imperfect forward simulators

(2019) Xiaodong Luo   PLoS One

Estimation of Static Young’s Modulus for Sandstone Formation Using Artificial Neural Networks

(2019) Ahmed Abdulhamid Mahmoud et al.   Energies

Artificial Neural Networks in the domain of reservoir characterization: A review from shallow to deep models

(2019) Pallabi Saikia et al.   COMPUTERS & GEOSCIENCES

Support Vector Machine Classification of Seismic Events in the Tianshan Orogenic Belt

(2019) Lanlan Tang et al.   JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH

Detection of the gas-bearing zone in a carbonate reservoir using multi-class relevance vector machines (RVM): comparison of its performance with SVM and PNN

(2018) Reza Mohebian et al.   CARBONATES AND EVAPORITES

SEISMIC FACIES ANALYSIS USING MACHINE-LEARNING

(2018) T. Wrona et al.   GEOPHYSICS

Identification of flow units using the joint of WT and LSSVM based on FZI in a heterogeneous carbonate reservoir

(2018) Liqun Shan et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A review on neural networks with random weights

(2018) Weipeng Cao et al.   NEUROCOMPUTING

Optimization by Adaptive Stochastic Descent

(2018) Cliff C. Kerr et al.   PLoS One

Estimation of petrophysical parameters using seismic inversion and neural network modeling in Upper Assam basin, India

(2018) Triveni Gogoi et al.   Geoscience Frontiers

Decision tree classifiers for evidential attribute values and class labels

(2018) Asma Trabelsi et al.   FUZZY SETS AND SYSTEMS

A novel ensemble method for k-nearest neighbor

(2018) Youqiang Zhang et al.   PATTERN RECOGNITION

Application of a new hybrid particle swarm optimization-mixed kernels function-based support vector machine model for reservoir porosity prediction: A case study in Jacksonburg-Stringtown oil field, West Virginia, USA

(2018) Zhi Zhong et al.   Interpretation-A Journal of Subsurface Characterization

Estimation of porosity from seismic attributes using a committee model with bat-inspired optimization algorithm

(2017) Amin Gholami et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery

(2017) Phan Thanh Noi et al.   SENSORS

Neural Networks Optimization through Genetic Algorithm Searches: A Review

(2017) Haruna Chiroma et al.   Applied Mathematics & Information Sciences

Neural Networks Optimization through Genetic Algorithm Searches: A Review

(2017) Haruna Chiroma et al.   Applied Mathematics & Information Sciences

Integrating seismic and log data for improved petroleum reservoir properties estimation using non-linear feature-selection based hybrid computational intelligence models

(2016) Fatai Anifowose et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Taking the Human Out of the Loop: A Review of Bayesian Optimization

(2016) Bobak Shahriari et al.   PROCEEDINGS OF THE IEEE

Comparison of supervised and unsupervised approaches for mudstone lithofacies classification: Case studies from the Bakken and Mahantango-Marcellus Shale, USA

(2016) Shuvajit Bhattacharya et al.   Journal of Natural Gas Science and Engineering

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

(2015) Fatai Anifowose et al.   APPLIED SOFT COMPUTING

Lithology prediction by support vector classifiers using inverted seismic attributes data and petrophysical logs as a new approach and investigation of training data set size effect on its performance in a heterogeneous carbonate reservoir

(2015) Mohammad Ali Sebtosheikh et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Improving water saturation estimation in a tight shaly sandstone reservoir using artificial neural network optimized by imperialist competitive algorithm – A case study

(2015) Morteza Amiri et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

A general approach for porosity estimation using artificial neural network method: a case study from Kansas gas field

(2015) Sagar Singh et al.   STUDIA GEOPHYSICA ET GEODAETICA

Ensemble model of non-linear feature selection-based Extreme Learning Machine for improved natural gas reservoir characterization

(2015) Fatai Adesina Anifowose et al.   Journal of Natural Gas Science and Engineering

A comparison of classification techniques for seismic facies recognition

(2015) Tao Zhao et al.   Interpretation-A Journal of Subsurface Characterization

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

Seismic facies analysis from well logs based on supervised classification scheme with different machine learning techniques

(2014) Majid Bagheri et al.   Arabian Journal of Geosciences

Application of support vector machines and relevance vector machines in predicting uniaxial compressive strength of volcanic rocks

(2014) Nurcihan Ceryan   JOURNAL OF AFRICAN EARTH SCIENCES

Estimation of Reservoir Porosity and Water Saturation Based on Seismic Attributes Using Support Vector Regression Approach

(2014) S.R. Na’imi et al.   JOURNAL OF APPLIED GEOPHYSICS

Quantification of sand fraction from seismic attributes using Neuro-Fuzzy approach

(2014) Akhilesh K. Verma et al.   JOURNAL OF APPLIED GEOPHYSICS

Connectionist model predicts the porosity and permeability of petroleum reservoirs by means of petro-physical logs: Application of artificial intelligence

(2014) Mohammad-Ali Ahmadi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Applications of artificial intelligence methods in prediction of permeability in hydrocarbon reservoirs

(2014) Raoof Gholami et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Well tops guided prediction of reservoir properties using modular neural network concept: A case study from western onshore, India

(2014) Soumi Chaki et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Non-linear Heterogeneous Ensemble Model for Permeability Prediction of Oil Reservoirs

(2013) Tarek Helmy et al.   ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING

Identifying organic-rich Marcellus Shale lithofacies by support vector machine classifier in the Appalachian basin

(2013) Guochang Wang et al.   COMPUTERS & GEOSCIENCES

Functional networks as a new data mining predictive paradigm to predict permeability in a carbonate reservoir

(2012) Emad A. El-Sebakhy et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of crude oil viscosity curve using artificial intelligence techniques

(2012) M.A. Al-Marhoun et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Prediction of Hydrocarbon Reservoirs Permeability Using Support Vector Machine

(2012) R. Gholami et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Support vector regression to predict porosity and permeability: Effect of sample size

(2011) A.F. Al-Anazi et al.   COMPUTERS & GEOSCIENCES

Estimation of ice thickness on lakes using artificial neural network ensembles

(2010) I. Zaier et al.   JOURNAL OF HYDROLOGY

Artificial Neural Networks as a Valuable Tool for Well Log Interpretation

(2010) M. Khandelwal et al.   PETROLEUM SCIENCE AND TECHNOLOGY

Development of artificial neural network models for predicting water saturation and fluid distribution

(2009) Nabil Al-Bulushi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Using artificial neural networks to generate synthetic well logs

(2009) Luisa Rolon et al.   Journal of Natural Gas Science and Engineering