The Impact of Offshore Transmission Regulatory Regimes on Technology Choices
(2019)
Conference Proceeding
Bains, H., Madariaga, A., Kazemtabrizi, B., & Troffaes, M. C. (2019). The Impact of Offshore Transmission Regulatory Regimes on Technology Choices. In Proceedings of the Cigre Symposium Aalborg, 2019
Outputs (11)
A Cantelli-type inequality for constructing non-parametric p-boxes based on exchangeability (2019)
Conference Proceeding
Troffaes, M. C., & Basu, T. (2019). A Cantelli-type inequality for constructing non-parametric p-boxes based on exchangeability. In J. D. Bock, C. P. . D. Campos, G. D. Cooman, E. Quaeghebeur, & G. Wheeler (Eds.), Proceedings of the Eleventh International Symposium on Imprecise Probabilities : Theories and Applications (386-393)In this paper we prove a new probability inequality that can be used to construct p-boxes in a non-parametric fashion, using the sample mean and sample standard deviation instead of the true mean and true standard deviation. The inequality relies onl... Read More about A Cantelli-type inequality for constructing non-parametric p-boxes based on exchangeability.
Joint modelling of longitudinal data involving time-varying covariates (2019)
Conference Proceeding
Drikvandi, R. (2019). Joint modelling of longitudinal data involving time-varying covariates.
ELM-Fuzzy Method for Automated Decision-Making in Price Directed Electricity Markets (2019)
Conference Proceeding
Alamaniotis, M., & Karagiannis, G. (2019). ELM-Fuzzy Method for Automated Decision-Making in Price Directed Electricity Markets. . https://doi.org/10.1109/eem.2019.8916549Among many domains application of information technologies has also transformed electricity markets. Price directed markets refer to the driving the electricity consumption by controlling the electricity prices in real time. This paper frames itself... Read More about ELM-Fuzzy Method for Automated Decision-Making in Price Directed Electricity Markets.
Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models (2019)
Conference Proceeding
Franzel, M., Jones, S., Jermyn, I., Allen, M., & McCaffrey, K. (2019). Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models. . https://doi.org/10.3997/2214-4609.201902215The three-dimensional geometry of fluvial channel sand bodies has received considerably less attention than their internal sedimentology, despite the importance of sandstone body geometry for subsurface reservoir modelling. The aspect ratio (width/th... Read More about Statistical Characterisation of Fluvial Sand Bodies: Implications for Complex Reservoir Models.
A novel method for analysis of high dimensional data (2019)
Conference Proceeding
Drikvandi, R. (2019). A novel method for analysis of high dimensional data.
Constrained Least-Squares Multiwell Deconvolution (2019)
Conference Proceeding
Cumming, J., Jaffrezic, V., Whittle, T., & Gringarten, A. (2019). Constrained Least-Squares Multiwell Deconvolution. In Proceedings of the SPE Western Regional Meeting 2019. https://doi.org/10.2118/195271-msIn this paper, we reduce non-uniqueness and ensure physically feasible results in multiwell deconvolution by incorporating constraints and knowledge to the methodology of Cumming et al. (2014). The constraints discourage non-physical shapes for the d... Read More about Constrained Least-Squares Multiwell Deconvolution.
Minute Ahead Wind Speed Forecasting Using a Gaussian Process and Fuzzy Assimilation (2019)
Conference Proceeding
Alamaniotis, M., & Karagiannis, G. (2019). Minute Ahead Wind Speed Forecasting Using a Gaussian Process and Fuzzy Assimilation. In 2019 IEEE Milan PowerTech. https://doi.org/10.1109/ptc.2019.8810415This paper presents an intelligent data driven method for forecasting minute ahead wind speed, which is essential in predicting the power output coming from wind generators. The proposed methodology, is based on the principle that “the most recent pa... Read More about Minute Ahead Wind Speed Forecasting Using a Gaussian Process and Fuzzy Assimilation.
Field Applications of Constrained Multiwell Deconvolution (2019)
Conference Proceeding
Jaffrezic, V., Razminia, K., Cumming, J., & Gringarten, A. (in press). Field Applications of Constrained Multiwell Deconvolution. . https://doi.org/10.2118/195516-ms
Systematic uncertainty reduction for petroleum reservoirs combining reservoir simulation and Bayesian emulation techniques (2019)
Conference Proceeding
Nandi Formentin, H., Vernon, I., Avansi, G. D., Caiado, C., Maschio, C., Goldstein, M., & Schiozer, D. J. (2019). Systematic uncertainty reduction for petroleum reservoirs combining reservoir simulation and Bayesian emulation techniques. In SPE Europec featured at 81st EAGE Conference and Exhibition, 3-6 June, London, England, UK (SPE-195478). https://doi.org/10.2118/195478-msReservoir simulation models incorporate physical laws and reservoir characteristics. They represent our understanding of sub-surface structures based on the available information. Emulators are statistical representations of simulation models, offeri... Read More about Systematic uncertainty reduction for petroleum reservoirs combining reservoir simulation and Bayesian emulation techniques.