Investigating the Predictive Performance of Gaussian Process Regression in Evaluating Reservoir Porosity and Permeability

A novel method for carbon dioxide emission forecasting based on improved Gaussian processes regression

(2018) Debin Fang et al.   JOURNAL OF CLEANER PRODUCTION

Weathered and Volcanic Provenance-Sedimentary System and Its Influence on Reservoir Quality in the East of the Eastern Depression, the North Yellow Sea Basin

(2018) Dan Gao et al.   Journal of Earth Science

Gaussian process regression for tool wear prediction

(2018) Dongdong Kong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Forecasting of Horizontal Gas Well Production Decline in Unconventional Reservoirs using Productivity, Soft Computing and Swarm Intelligence Models

(2018) Eric Thompson Brantson et al.   Natural Resources Research

Combining classification and regression for improving permeability estimations from 1 H NMR relaxation data

(2017) Alexandre Plastino et al.   JOURNAL OF APPLIED GEOPHYSICS

Identification of Hydrocarbon Potential of Talhar Shale: Member of Lower Goru Formation Using Well Logs Derived Parameters, Southern Lower Indus Basin, Pakistan

(2017) Muhsan Ehsan et al.   Journal of Earth Science

Gaussian process regression for forecasting battery state of health

(2017) Robert R. Richardson et al.   JOURNAL OF POWER SOURCES

An integrated Gaussian process regression for prediction of remaining useful life of slow speed bearings based on acoustic emission

(2017) S.A. Aye et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Committee neural network model for rock permeability prediction

(2014) Parisa Bagheripour   JOURNAL OF APPLIED GEOPHYSICS

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

Artificial Neural Networks applied to estimate permeability, porosity and intrinsic attenuation using seismic attributes and well-log data

(2014) Ursula Iturrarán-Viveros et al.   JOURNAL OF APPLIED GEOPHYSICS

Prediction of permeability in a tight gas reservoir by using three soft computing approaches: A comparative study

(2014) Sadegh Baziar et al.   Journal of Natural Gas Science and Engineering

Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes

(2012) T. Heyns et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Fuzzy logic-driven and SVM-driven hybrid computational intelligence models applied to oil and gas reservoir characterization

(2011) Fatai Anifowose et al.   Journal of Natural Gas Science and Engineering

Hybrid computational models for the characterization of oil and gas reservoirs

(2010) Tarek Helmy et al.   EXPERT SYSTEMS WITH APPLICATIONS

A new approach to improve neural networks' algorithm in permeability prediction of petroleum reservoirs using supervised committee machine neural network (SCMNN)

(2010) Sadegh Karimpouli et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Petroleum geological framework and hydrocarbon potential in the Yellow Sea

(2008) Shiguo Wu et al.   CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY