Determination of miscible CO2 flooding analogue projects with machine learning

TA Olukoga, Y Feng - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Using analogue reservoirs for comparison and benchmarking is a comprehensive method
for ensuring accurate measurement and gaining a better understanding of potential oil …

Directional spectra-based clustering for visualizing patterns of ocean waves and winds

C Euán, Y Sun - Journal of Computational and Graphical Statistics, 2019 - Taylor & Francis
The energy distribution of wind-driven ocean waves is of great interest in marine science.
Discovering the generating process of ocean waves is often challenging and the direction is …

Quadratic forms of the empirical processes for the two-sample problem for functional data

R Bárcenas, J Ortega, AJ Quiroz - Test, 2017 - Springer
The use of quadratic forms of the empirical process for the two-sample problem in the
context of functional data is considered. The convergence of the family of statistics proposed …

Robust clustering for time series using spectral densities and functional data analysis

D Rivera-García, LA García-Escudero… - … : 14th International Work …, 2017 - Springer
In this work a robust clustering algorithm for stationary time series is proposed. The
algorithm is based on the use of estimated spectral densities, which are considered as …

Time series, spectral densities and robust functional clustering

D Rivera-García, LA García-Escudero… - Neural Processing …, 2020 - Springer
In this work, a robust clustering algorithm for stationary time series is proposed. The
algorithm is based on the use of estimated spectral densities, which are considered as …

[图书][B] Machine Learning Applications for Optimization of Oil and Gas System Development

TA Olukoga - 2022 - search.proquest.com
In recent years, the oil and gas industry has adopted machine learning and artificial
intelligence technologies for insights extraction from its large dataset in most of its sectors …