Výsledky vyhledávání - "S. D. Guikema"

Akademický článek

Machine learning methods for empirical streamflow simulation: a comparison of model accuracy, interpretability, and uncertainty in seasonal watersheds

Autor: J. E. Shortridge, S. D. Guikema, B. F. Zaitchik

Publikováno v: Hydrology and Earth System Sciences, Vol 20, Iss 7, Pp 2611-2628 (2016)

In the past decade, machine learning methods for empirical rainfall–runoff modeling have seen extensive development and been proposed as a useful complement to physical hydrologic models, particularly in basins where data to support process-based m

Externí odkaz: https://doaj.org/article/69bb7169ac974de1878c39a2e8fe965d

Zobrazit plný text záznamu

Systems Approach and Quantitative Decision Tools for Technology Selection in Environmentally Friendly Drilling

Autor: O.-Y. Yu, S. D. Guikema, J. E. Bickel, J.-L. Briaud, D. B. Burnett

Publikováno v: All Days.

One of the petroleum industry's goals is to reduce the environmental impact of oil and gas operations in environmentally sensitive areas. To achieve this, a number of Environmentally Friendly Drilling (EFD) technologies have been developed to varying

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f4101427fca2e6b7715177bc79afce57
https://doi.org/10.2118/120848-ms

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání