Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Stylianos Kyriacou"'
Publikováno v:
Day 3 Wed, February 23, 2022.
With growing worldwide consensus about the impacts of climate change, the oil and gas industry faces unprecedented pressure to minimize its carbon footprint. The biggest source of carbon emissions in the industry is the so-called fugitive emissions,
Publikováno v:
Day 3 Wed, December 12, 2018.
Data Physics reservoir modeling and optimization was described in detail in a prior paper (SPE-185507) and can be conceptualized as a physics-based model augmented by machine learning. In brief, the production, injection, temperature, steam quality,
Publikováno v:
Day 2 Thu, May 18, 2017.
The application of a novel modeling and optimization approach is presented, demonstrating the impact of quantitatively optimized steam redistribution in mature heavy oil fields. Results are presented for a steamflood in the San Joaquin Basin in Calif
Publikováno v:
Day 2 Tue, May 09, 2017.
A cloud-distributed optimization algorithm applicable to large scale, constrained, multiobjective, optimization problems, such as steamflood redistribution, is presented. The proposed algorithm utilizes the so-called Metamodel Assisted Evolutionary A
Autor:
Stylianos Kyriacou, Ganesh Thakur, Pallav Sarma, Wyatt Shipley, Garrett Fowler, Dakin Sloss, Mark Henning
Publikováno v:
Day 3 Tue, April 25, 2017.
The application of a novel modeling and data assimilation approach is presented, demonstrating the impact of quantitatively modeled and optimized cyclic steam candidate and steam volume selection in a mature heavy oil field. Results are reviewed for
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 278:621-639
This article presents the development and application of the continuous adjoint method for designing/optimizing the shape of hydraulic turbomachines. The Reynolds-averaged flow equations are solved in the rotating reference frame and the terms arisin
Publikováno v:
Engineering Optimization. 46:895-911
This article presents methods to enhance the efficiency of Evolutionary Algorithms (EAs), particularly those assisted by surrogate evaluation models or metamodels. The gain in efficiency becomes important in applications related to industrial optimiz
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 22:012023
The draft tube design of a hydraulic turbine, particularly in low to medium head applications, plays an important role in determining the efficiency and power characteristics of the overall machine, since an important proportion of the available ener
Publikováno v:
International Journal of Mathematical Modelling and Numerical Optimisation. 3:45
To overcome the excessive CPU cost of evolutionary algorithms (EAs) which make use of demanding evaluation models, metamodel-assisted EAs (MAEAs) have been devised and used in either single-objective (SOO) or multi-objective (MOO) problems. MAEAs are
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 12:012031
A design-optimization method for hydraulic machinery is proposed. Optimal designs are obtained using the appropriate CFD evaluation software driven by an evolutionary algorithm which is also assisted by artificial neural networks used as surrogate ev