- Akbarabadi, M. ; Borges, M. ; Jan, A. ; Pereira, F. ; Piri, M. A Bayesian framework for the validation of models for subsurface flows: synthetic experiments. 2015 Comput Geosci. 19 1231-1250
Paper not yet in RePEc: Add citation now
Appiah-Otoo, I. ; Chen, X. ; Ampah, J.D. Does financial structure affect renewable energy consumption? Evidence from G20 countries. 2023 Energy. 272 -
Arias, L.A. ; Rivas, E. ; Santamaria, F. ; Hernandez, V. A review and analysis of trends related to demand response. 2018 Energies. 11 -
- Arnold, D. ; Demyanov, V. ; Rojas, T. ; Christie, M. Uncertainty quantification in reservoir prediction: Part 1—model realism in history matching using geological prior definitions. 2019 Math Geosci. 51 209-240
Paper not yet in RePEc: Add citation now
Aspinall, W. A route to more tractable expert advice. 2010 Nature. 463 294-295
- Bamber, J.L. ; Oppenheimer, M. ; Kopp, R.E. ; Aspinall, W.P. ; Cooke, R.M. Ice sheet contributions to future sea-level rise from structured expert judgment. 2019 Proc Natl Acad Sci U S A. 166 11195-11200
Paper not yet in RePEc: Add citation now
- Bardy, G. ; Biver, P. ; Caumon, G. ; Renard, P. Oil production uncertainty assessment by predicting reservoir production curves and confidence intervals from arbitrary proxy responses. 2019 J Pet Sci Eng. 176 116-125
Paper not yet in RePEc: Add citation now
- Barker, J.W. ; Cuypers, M. ; Holden, L. Quantifying uncertainty in production forecasts: another look at the PUNQ-S3 problem. 2000 SPE Reserv Eng (Society Pet Eng. 89–99 -
Paper not yet in RePEc: Add citation now
- Bayat, M. ; Kia, M. ; Soltangharaei, V. ; Ahmadi, H.R. ; Ziehl, P. Bayesian demand model based seismic vulnerability assessment of a concrete girder bridge. 2020 Adv Concr Constr. 9 -
Paper not yet in RePEc: Add citation now
- Chaturvedi, P. ; Daniel, A.K. ; Bodkhe, U. A deep learning based target coverage protocol for edge computing enabled wireless sensor networks. 2023 Stud. Comput. Intell.. 1072 -
Paper not yet in RePEc: Add citation now
- Chen, Y. ; Oliver, D.S. Levenberg–Marquardt forms of the iterative ensemble smoother for efficient history matching and uncertainty quantification. 2013 174 2013 Comput Geosci. 17 689-703
Paper not yet in RePEc: Add citation now
- Cheng, Y. ; Lee, W.J. ; McVay, D.A. Quantification of uncertainty in reserve estimation from decline curve analysis of production data for unconventional reservoirs. 2008 J Energy Resour Technol Trans ASME. 130 -
Paper not yet in RePEc: Add citation now
- Christie, M. ; MacBeth, C. ; Subbey, S. Multiple history-matched models for Teal South. 2002 Lead Edge. 21 286-289
Paper not yet in RePEc: Add citation now
Clemen, R.T. ; Winkler, R.L. Combining probability distributions from experts in risk analysis. 1999 192 1999 Risk Anal. 19 187-203
Colson, A.R. ; Cooke, R.M. Cross validation for the classical model of structured expert judgment. 2017 Reliab Eng Syst Saf. 163 109-120
- Cooke, R.M. Experts in uncertainty: opinion and subjective probability in science. 1991 :
Paper not yet in RePEc: Add citation now
Cooke, R.M. ; Marti, D. ; Mazzuchi, T. Expert forecasting with and without uncertainty quantification and weighting: what do the data say?. 2021 Int J Forecast. 37 378-387
- Doligez, B. ; Le Ravalec, M. ; Bouquet, S. ; Adelinet, M. A review of three geostatistical techniques for realistic geological reservoir modeling integrating multi-scale data. 2015 Bull Can Petrol Geol. 63 277-286
Paper not yet in RePEc: Add citation now
- Ebrahimi, M.A. ; Ahmadi, M. ; Ameri, M.J. Application of unconditional simulation methods for quantifying the uncertainties in mud window design of gas reservoirs based on 3-dimensional mechanical earth modeling. 2020 J Nat Gas Sci Eng. 76 -
Paper not yet in RePEc: Add citation now
- Ekeoma, E. ; Appah, D.A. Latin Hypercube sampling (LHS) for gas reserves. 2009 2009 Soc Pet Eng - Niger Annu Int Conf Exhib NAICE. -
Paper not yet in RePEc: Add citation now
- Elsakout, D. ; Christie, M. ; Lord, G. Multilevel Markov chain Monte Carlo (MLMCMC) for uncertainty quantification. 2015 Soc Pet Eng - SPE North Africa Tech Conf Exhib. -
Paper not yet in RePEc: Add citation now
- Freitas, D. ; Lopes, L.G. ; Morgado-Dias, F. Particle Swarm optimisation: a historical review up to the current developments. 2020 Entropy. 22 362-
Paper not yet in RePEc: Add citation now
- Fursov, I. ; Christie, M. ; Lord, G. Applying kriging proxies for Markov chain Monte Carlo in reservoir simulation. 2020 Comput Geosci. 244 1725-1746
Paper not yet in RePEc: Add citation now
- Gaoxuan, G. Assessment of the Hofsstadir geothermal field, W-Iceland, by lumped parameter modelling, Monte Carlo simulation and tracer test analysis. 2008 :
Paper not yet in RePEc: Add citation now
- Goossens, L.H.J. ; Cooke, R.M. ; Hale, A.R. ; Rodić-Wiersma, L. Fifteen years of expert judgement at TUDelft. 2008 Saf Sci. 46 234-244
Paper not yet in RePEc: Add citation now
- Gyimah, J. ; Yao, X. ; Tachega, M.A. ; Sam Hayford, I. ; Opoku-Mensah, E. Renewable energy consumption and economic growth: new evidence from Ghana. 2022 Energy. 248 -
Paper not yet in RePEc: Add citation now
- Hajizadeh, Y. ; Christie, M. ; Demyanov, V. Ant colony optimization for history matching and uncertainty quantification of reservoir models. 2011 J Pet Sci Eng. 77 78-92
Paper not yet in RePEc: Add citation now
- Hanea, A. ; Nane, G. ; Bedford, T. ; French, S. Expert judgement in risk and decision analysis. 2021 :
Paper not yet in RePEc: Add citation now
- Hanea, A.M. ; Hemming, V. ; Nane, G.F. Uncertainty quantification with experts: present status and research needs. 2022 Risk Anal. 42 254-263
Paper not yet in RePEc: Add citation now
- Hansen, T.M. ; Finlay, C.C. Use of machine learning to estimate Statistics of the posterior distribution in probabilistic inverse problems—an application to airborne EM data. 2022 J Geophys Res Solid Earth. 127 -
Paper not yet in RePEc: Add citation now
- Hemming, V. ; Walshe, T.V. ; Hanea, A.M. ; Fidler, F. ; Burgman, M.A. Eliciting improved quantitative judgements using the IDEA protocol: a case study in natural resource management. 2018 PLoS One. 13 -
Paper not yet in RePEc: Add citation now
- Hoteit, H. ; He, X. ; Yan, B. ; Vahrenkam, V. . 2021 En : Optimization and uncertainty quantification model for time-continuous geothermal energy extraction undergoing re-injection. :
Paper not yet in RePEc: Add citation now
Hussain, J. ; Zhou, K. ; Muhammad, F. ; Khan, D. ; Khan, A. ; Ali, N. Renewable energy investment and governance in countries along the belt & Road Initiative: does trade openness matter?. 2021 Renew Energy. 180 1278-1289
- Ian, H.W. ; Eibe, F. Data mining: practical machine learning tools and techniques. 2005 Morgan Kaufmann Ser Data Manag Syst:
Paper not yet in RePEc: Add citation now
- Ibrahim, A.F. ; Al-Dhaif, R. ; Elkatatny, S. ; Shehri, D Al Applications of artificial intelligence to predict oil rate for high gas-oil ratio and water-cut wells. 2021 ACS Omega. 6 -
Paper not yet in RePEc: Add citation now
- Jaynes, E.T. Probability theory: the logic of science. 2003 Probab Theory. -
Paper not yet in RePEc: Add citation now
- Journel, A.G. ; Bitanov, A. Uncertainty in N/G ratio in early reservoir development. 2004 J Pet Sci Eng. 44 115-130
Paper not yet in RePEc: Add citation now
- Jung, H. ; Jo, H. ; Kim, S. ; Lee, K. ; Choe, J. Geological model sampling using PCA-assisted support vector machine for reliable channel reservoir characterization. 2018 J Pet Sci Eng. 167 396-405
Paper not yet in RePEc: Add citation now
Jung, S. ; Lee, K. ; Park, C. ; Choe, J. Ensemble-based data assimilation in reservoir characterization: a review. 2018 Energies. 11 445-
- Jung, Y. . 2017 :
Paper not yet in RePEc: Add citation now
- Juri, J.E. ; Van Dijke, M.I.J. ; Sorbie, K.S. Inversion of lattice network structure subjected to carbonate mercury intrusion capillary pressure: Hamiltonian Monte Carlo posterior sampling. 2015 Transport Porous Media. 106 73-106
Paper not yet in RePEc: Add citation now
- Kang, B. ; Choe, J. Uncertainty quantification of channel reservoirs assisted by cluster analysis and deep convolutional generative adversarial networks. 2020 J Pet Sci Eng. 187 -
Paper not yet in RePEc: Add citation now
- Larkin, P. ; Gracie, R. ; Shafiei, A. ; Dusseault, M. ; Sarkarfarshi, M. ; Aspinall, W. Uncertainty in risk issues for carbon capture and geological storage: findings from a structured expert elicitation. 2019 Int J Risk Assess Manag. 22 429-463
Paper not yet in RePEc: Add citation now
- Lee, K. ; Lim, J. ; Ahn, S. ; Kim, J. Feature extraction using a deep learning algorithm for uncertainty quantification of channelized reservoirs. 2018 J Pet Sci Eng. 171 1007-1022
Paper not yet in RePEc: Add citation now
- Lee, K. ; Lim, J. ; Yoon, D. ; Jung, H. Prediction of shale-gas production at duvernay formation using deep-learning algorithm. 2019 SPE J. 24 2423-2437
Paper not yet in RePEc: Add citation now
- Liu, Z. ; Zhang, Z. Quantum-inspired Hamiltonian Monte Carlo for bayesian sampling. 2019 :
Paper not yet in RePEc: Add citation now
- Ma, Y.Z. Propensity and probability in depositional facies analysis and modeling. 2009 417 2009 Math Geosci. 41 737-760
Paper not yet in RePEc: Add citation now
- Mohaghegh, S.D. Reservoir simulation and modeling based on artificial intelligence and data mining (AI&DM). 2011 J Nat Gas Sci Eng. 3 697-705
Paper not yet in RePEc: Add citation now
- Mohamed, L. ; Christie, M. ; Demyanov, V. Comparison of stochastic sampling algorithms for uncertainty quantification. 2010 SPE J. 15 31-38
Paper not yet in RePEc: Add citation now
Nguyen-Le, V. ; Shin, H. Artificial neural network prediction models for Montney shale gas production profile based on reservoir and fracture network parameters. 2022 Energy. 244 -
- Nolan, S. ; Smerzi, A. ; Pezzè, L. A machine learning approach to Bayesian parameter estimation. 2021 Npj Quantum Inf. 7 -
Paper not yet in RePEc: Add citation now
- O'Hagan, A. Expert knowledge elicitation: subjective but scientific. 2019 Am Statistician. 73 69-81
Paper not yet in RePEc: Add citation now
- Oliver, D.S. ; Reynolds, A.C. ; Liu, N. Inverse theory for petroleum reservoir characterization and history matching. 2008 :
Paper not yet in RePEc: Add citation now
Oppenheimer, M. ; Little, C.M. ; Cooke, R.M. Expert judgement and uncertainty quantification for climate change. 2016 Nat Clim Change. 6 445-451
- Pace, F. ; Santilano, A. ; Godio, A. A review of geophysical modeling based on Particle Swarm optimization. 2021 Surv Geophys. 423 505-549
Paper not yet in RePEc: Add citation now
- Pandey, Y.N. ; Rastogi, A. ; Kainkaryam, S. ; Bhattacharya, S. ; Saputelli, L. Machine learning in the oil and gas industry: including geosciences, reservoir engineering, and production engineering with Python. 2020 :
Paper not yet in RePEc: Add citation now
- Patani, S.E. ; Porta, G.M. ; Caronni, V. ; Ruffo, P. ; Guadagnini, A. Stochastic inverse modeling and parametric uncertainty of sediment deposition processes across geologic time scales. 2021 Math Geosci. 53 1101-1124
Paper not yet in RePEc: Add citation now
- Pedregosa, F. ; Varoquaux, G. ; Gramfort, A. ; Michel, V. ; Thirion, B. Scikit-learn: machine learning in Python. 2011 J Mach Learn Res. J OfMachine Learn Res. 12 -
Paper not yet in RePEc: Add citation now
- Razavi, F. ; Jalali-Farahani, F. Ant colony optimization: a leading algorithm in future optimization of petroleum engineering processes. 2008 Lect Notes Comput Sci. 5097 -
Paper not yet in RePEc: Add citation now
- Rodriguez, A.X. ; Salazar, D.A. Methodology for the prediction of fluid production in the waterflooding process based on multivariate long–short term memory neural networks. 2022 J Pet Sci Eng. 208 -
Paper not yet in RePEc: Add citation now
- Roy, V. Convergence diagnostics for Markov chain Monte Carlo. 2020 Annu Rev Stat Its Appl. 7 387-412
Paper not yet in RePEc: Add citation now
- S. M, J.S. J, R. D, J. P. Application of bayesian methods to probabilistic seismic demand analyses of concrete box-girder bridges. 2016 2023 Geotech Struct Eng Congr. 1367-
Paper not yet in RePEc: Add citation now
- Shah, M. ; Vaidya, D. ; Sircar, A. Using Monte Carlo simulation to estimate geothermal resource in Dholera geothermal field, Gujarat, India. 2018 12 2018 Multiscale Multidiscip Model Exp Des. 1 83-95
Paper not yet in RePEc: Add citation now
- Shen, Q. ; Wu, X. ; Chen, J. ; Han, Z. ; Huang, Y. Solving geosteering inverse problems by stochastic Hybrid Monte Carlo method. 2018 J Pet Sci Eng. 161 9-16
Paper not yet in RePEc: Add citation now
- Sina, R.G. ; Ani, M. ; Oluyemi, G. ; Petrovski, A. Reservoir uncertainty analysis: the trends from probability to algorithms and machine learning. 2016 Soc Pet Eng - SPE Intell Energy Int Conf Exhib. -
Paper not yet in RePEc: Add citation now
- Srdjevic, Z. ; Srdjevic, B. ; Rajic, M. Risk and resiliency assessment of urban groundwater supply sources (ponds) by structured elicitation of experts knowledge. 2017 NATO Sci Peace Secur Ser C Environ Secur:
Paper not yet in RePEc: Add citation now
- Subbey, S. ; Christie, M. ; Sambridge, M. Uncertainty reduction in reservoir modelling. 2002 Contemp Math. 295 457-467
Paper not yet in RePEc: Add citation now
- Thompson, E. ; Frigg, R. ; Helgeson, C. . 2016 :
Paper not yet in RePEc: Add citation now
- Trehan, S. ; Durlofsky, L.J. Machine-learning-based modeling of coarse-scale error, with application to uncertainty quantification. 2018 Comput Geosci. 22 1093-1113
Paper not yet in RePEc: Add citation now
- van Ravenzwaaij, D. ; Cassey, P. ; Brown, S.D. A simple introduction to Markov chain Monte–Carlo sampling. 2018 Psychon Bull Rev. 25 143-154
Paper not yet in RePEc: Add citation now
- Wang, P. ; Li, J. ; Chen, X. ; Wang, B. Joint probabilistic fluid discrimination of tight sandstone reservoirs based on Bayes discriminant and deterministic rock physics modeling. 2020 J Pet Sci Eng. 191 -
Paper not yet in RePEc: Add citation now
Wang, Y. ; Li, H. ; Xu, J. ; Liu, S. ; Wang, X. Machine learning assisted relative permeability upscaling for uncertainty quantification. 2022 Energy. 245 -
- Yamada, T. ; Ohno, K. ; Ohta, Y. Comparison between the Hamiltonian Monte Carlo method and the Metropolis–Hastings method for coseismic fault model estimation. 2022 Earth Planets Space. 74 1-16
Paper not yet in RePEc: Add citation now
- Yang, K. ; Guha, N. ; Efendiev, Y. ; Mallick, B.K. Bayesian and variational Bayesian approaches for flows in heterogeneous random media. 2017 J Comput Phys. 345 275-293
Paper not yet in RePEc: Add citation now
- Zare, A. ; Bagheri, M. ; Ebadi, M. Reservoir facies and porosity modeling using seismic data and well logs by geostatistical simulation in an oil field. 2020 Carbonates Evaporites. 353 35:1-10
Paper not yet in RePEc: Add citation now
- Zee Ma, Y. Uncertainty analysis in reservoir characterization and management: how much should we know about what we don't know?. 2011 AAPG Mem. 1–15 -
Paper not yet in RePEc: Add citation now
Zhou, Y. ; Wang, Y. An integrated framework based on deep learning algorithm for optimizing thermochemical production in heavy oil reservoirs. 2022 Energy. 253 -