Permeability prediction for carbonate reservoir using a data-driven model comprising deep learning network, particle swarm optimization, and support vector regression: a case study of the LULA oilfield
出版年份 2019 全文链接
标题
Permeability prediction for carbonate reservoir using a data-driven model comprising deep learning network, particle swarm optimization, and support vector regression: a case study of the LULA oilfield
作者
关键词
-
出版物
Arabian Journal of Geosciences
Volume 12, Issue 19, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2019-10-13
DOI
10.1007/s12517-019-4804-3
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。- Efficient FPGA-based architecture of an automatic wheeze detector using a combination of MFCC and SVM algorithms
- (2018) Ons Boujelben et al. JOURNAL OF SYSTEMS ARCHITECTURE
- A hybrid particle swarm optimization and support vector regression model for modelling permeability prediction of hydrocarbon reservoir
- (2017) Kabiru. O. Akande et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- The porosity and permeability prediction methods for carbonate reservoirs with extremely limited logging data: Stepwise regression vs. N-way analysis of variance
- (2017) Yufeng Gu et al. Journal of Natural Gas Science and Engineering
- Development of robust model to estimate gas–oil interfacial tension using least square support vector machine: Experimental and modeling study
- (2016) Mohammad Ali Ahmadi et al. JOURNAL OF SUPERCRITICAL FLUIDS
- Toward reliable model for prediction Drilling Fluid Density at wellbore conditions: A LSSVM model
- (2016) Mohammad Ali Ahmadi NEUROCOMPUTING
- Contrastive divergence for memristor-based restricted Boltzmann machine
- (2015) Ahmad Muqeem Sheri et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Connectionist approach estimates gas–oil relative permeability in petroleum reservoirs: Application to reservoir simulation
- (2015) Mohammad Ali Ahmadi FUEL
- A LSSVM approach for determining well placement and conning phenomena in horizontal wells
- (2015) Mohammad-Ali Ahmadi et al. FUEL
- A rigorous model to predict the amount of Dissolved Calcium Carbonate Concentration throughout oil field brines: Side effect of pressure and temperature
- (2015) Mohammad-Ali Ahmadi et al. FUEL
- Lacustrine carbonate reservoirs from Early Cretaceous rift lakes of Western Gondwana: Pre-Salt coquinas of Brazil and West Africa
- (2015) Daniel L. Thompson et al. GONDWANA RESEARCH
- Connectionist technique estimates H2S solubility in ionic liquids through a low parameter approach
- (2015) Mohammad-Ali Ahmadi et al. JOURNAL OF SUPERCRITICAL FLUIDS
- Prediction of a solid desiccant dehydrator performance using least squares support vector machines algorithm
- (2015) Mohammad Ali Ahmadi et al. Journal of the Taiwan Institute of Chemical Engineers
- Developing a Robust Surrogate Model of Chemical Flooding Based on the Artificial Neural Network for Enhanced Oil Recovery Implications
- (2015) Mohammad Ali Ahmadi MATHEMATICAL PROBLEMS IN ENGINEERING
- Evolving Smart Model to Predict the Combustion Front Velocity for In Situ Combustion
- (2015) Mohammad Ali Ahmadi et al. Energy Technology
- Applying a sophisticated approach to predict CO2solubility in brines: application to CO2sequestration
- (2015) Mohammad Ali Ahmadi et al. International Journal of Low-Carbon Technologies
- Evolving predictive model to determine condensate-to-gas ratio in retrograded condensate gas reservoirs
- (2014) Mohammad Ali Ahmadi et al. FUEL
- A SYSTEMATIC REVIEW OF THE EMPIRICAL VALIDATION OF OBJECT-ORIENTED METRICS TOWARDS FAULT-PRONENESS PREDICTION
- (2014) BASSEY ISONG et al. INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
- Phase Equilibrium Modeling of Clathrate Hydrates of Carbon Dioxide + 1,4-Dioxine Using Intelligent Approaches
- (2014) Mohammad Ali Ahmadi et al. JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY
- Recent advances in the application of computational intelligence techniques in oil and gas reservoir characterisation: a comparative study
- (2014) Fatai Anifowose et al. JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
- Application of continuous restricted Boltzmann machine to identify multivariate geochemical anomaly
- (2014) Yongliang Chen et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- 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
- Robust intelligent tool for estimating dew point pressure in retrograded condensate gas reservoirs: Application of particle swarm optimization
- (2014) Mohammad Ali Ahmadi et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Pore-by-pore capillary pressure measurements using X-ray microtomography at reservoir conditions: Curvature, snap-off, and remobilization of residual CO2
- (2014) Matthew Andrew et al. WATER RESOURCES RESEARCH
- 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
- Evolving Connectionist Model to Monitor the Efficiency of an In Situ Combustion Process: Application to Heavy Oil Recovery
- (2014) Mohammad Ali Ahmadi et al. Energy Technology
- Prediction breakthrough time of water coning in the fractured reservoirs by implementing low parameter support vector machine approach
- (2013) Mohammad Ali Ahmadi et al. FUEL
- Evolving smart approach for determination dew point pressure through condensate gas reservoirs
- (2013) Mohammad Ali Ahmadi et al. FUEL
- Training restricted Boltzmann machines: An introduction
- (2013) Asja Fischer et al. PATTERN RECOGNITION
- New approach for prediction of asphaltene precipitation due to natural depletion by using evolutionary algorithm concept
- (2012) Mohammad Ali Ahmadi et al. FUEL
- Reservoir rock permeability prediction using support vector regression in an Iranian oil field
- (2012) Sadegh Saffarzadeh et al. Journal of Geophysics and Engineering
- Neural network based swarm concept for prediction asphaltene precipitation due to natural depletion
- (2012) Mohammad Ali Ahmadi et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Salt-structural styles and kinematic evolution of the Jequitinhonha deepwater fold belt, central Brazil passive margin
- (2012) Jürgen Adam et al. MARINE AND PETROLEUM GEOLOGY
- Prediction of Hydrocarbon Reservoirs Permeability Using Support Vector Machine
- (2012) R. Gholami et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Neural network based unified particle swarm optimization for prediction of asphaltene precipitation
- (2011) Mohammad Ali Ahmadi FLUID PHASE EQUILIBRIA
- Extending NMR data for permeability estimation in fine-grained sediments
- (2009) Hugh Daigle et al. MARINE AND PETROLEUM GEOLOGY
- Justifying and Generalizing Contrastive Divergence
- (2008) Yoshua Bengio et al. NEURAL COMPUTATION
- Brazilian and African passive margins of the Central Segment of the South Atlantic Ocean: Kinematic constraints
- (2008) Daniel Aslanian et al. TECTONOPHYSICS
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