Refined experimental design and response surface methodology workflow using proxy numerical models for probabilistic geothermal resource assessment-Reference-Cited by-同舟云学术

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Refined experimental design and response surface methodology workflow using proxy numerical models for probabilistic geothermal resource assessment

Published:2020-11 Issue: Volume:88 Page:101911
ISSN:0375-6505
Container-title:Geothermics
language:en
Short-container-title:Geothermics

Author:

Ciriaco Anthony E.,Zarrouk Sadiq J.^ORCID,Zakeri Golbon,Mannington Warren I.

Funder

Ministry of Business, Innovation and Employment

Publisher

Elsevier BV

Subject

Geology,Geotechnical Engineering and Engineering Geology,Renewable Energy, Sustainability and the Environment

Reference45 articles.

1. Using a large reservoir model in the probabilistic assessment of field management studies;Acuña,2002

2. The Rotorua geothermal field, New Zealand: its physical setting, hydrology, and response to exploitation;Allis;Geothermics,1992

3. The Pains and Gains of Experimental Design and Response Surface Applications in Reservoir Simulation Studies;Amudo,2009

4. Geothermal power generation in the world 2010–2014 update report;Bertani;Geothermics,2016

5. Geothermal Power Generation in the World 2010-2014 Update Report;Bertani;Proceedings World Geothermal Congress,2015

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1. A Probabilistic Study of CO2 Plume Geothermal and Hydrothermal Systems: A Sensitivity Study of Different Reservoir Conditions in Williston Basin, North Dakota;Eng;2024-07-10

2. An updated numerical model of Patuha geothermal field for optimization and sustainable production;Geothermics;2024-07

3. The target selection and quantitative evaluation for deep geothermal resource zoning of typical geothermal fields in central Hebei of North China plain;Frontiers in Earth Science;2023-12-28

4. A robust assessment method of recoverable geothermal energy considering optimal development parameters;Renewable Energy;2022-12

5. Regional geothermal resource assessment of hot dry rocks in Northern England using 3D geological and thermal models;Geothermics;2022-11

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