Results 101 to 110 of about 96,456 (266)

Efficient Numerical Framework for Geothermal Energy Production Optimization in Fracture‐Controlled Reservoirs

International Journal for Numerical Methods in Fluids, EarlyView.
We introduce an efficient open‐source numerical framework for the automated search for the placements of injection and production wells in hot fracture‐controlled reservoirs that sustainably optimize geothermal energy production. We model the reservoirs as discrete fracture networks in 3D. The fluid flow and heat transport in the reservoirs are modeled
Ondřej Pártl, Ernesto Meneses Rioseco
wiley   +1 more source

Power from Geothermal Resources as a Co-product of the Oil and Gas Industry: A Review. [PDF]

ACS Omega, 2022
Cano NA, Céspedes S, Redondo J, Foo G, Jaramillo D, Martinez D, Gutiérrez M, Pataquiba J, Rojas J, Cortés FB, Franco CA.   +10 more
europepmc   +1 more source

Leasing of federal geothermal resources [PDF]

Pursuant to the Geothermal Steam Act of 1970 and the regulations published on December 21, 1973, the first Federal geothermal competitive lease sale was held on January 22, 1974, by the Department of the Interior, offering 33 tracts totalling over 50,000
Stone, R. T.
core   +1 more source

Evidence From Microscopy and U–Pb Geochronology as a Clue to the Influence of the Cretaceous Magmatism in the Diagenesis of Pre‐Salt Carbonate Reservoirs in the Santos Basin (Brazil)

Geological Journal, EarlyView.
Carbonates from Santos Basin revealed U–Pb ages correlated with basalt ages (A), suggesting that they were formed during magmatic events. These events placed hot CO2 in the reservoir, which, when mixed with carbonate‐rich cold water (B), led to thermal convection, enabling the formation of the U contained in the carbonates.
Marco António Ruivo de Castro e Brito, Cristiano Leite Sombra, Davy Raeder Brandão, Cleverson Guizan Silva, Sidney Luiz de Matos Mello, Eugênio Vaz dos Santos Neto, Rui Jorge Fernandes Baptista, Ramsés Capilla, Luiz Antônio Pierantoni Gambôa   +8 more
wiley   +1 more source

Assessment and Public Reporting of Geothermal Resources in Germany: Review and Outlook

Energies, 2018
Any geothermal resource assessment requires consistent and widely accepted terminology, methods, and reporting schemes that facilitate the comparison of geothermal resource estimates.
Thorsten Agemar, Josef Weber, Inga S. Moeck   +2 more
doaj   +1 more source

Ground motion prediction equations as a proxy for medium properties variation due to geothermal resources exploitation. [PDF]

Sci Rep, 2022
Convertito V, De Matteis R, Amoroso O, Capuano P.   +3 more
europepmc   +1 more source

Mesozoic–Cenozoic Thermochronology of the Tarim–Southern Tianshan System, NW China

Geological Journal, EarlyView.
Tectonothermal history of the Tarim–Southern Tianshan system compared with the major tectonic events at far‐field plate margins. ABSTRACT The Tarim Basin, an oil‐bearing basin in northwest China, is tectonically and sedimentologically linked to the Southern Tianshan Orogenic Belt.
Shuangfeng Zhao, Wen Chen, Jingbo Sun, Ze Shen, Jie Zhang   +4 more
wiley   +1 more source

Numerical modeling as a tool for evaluating the renewability of geothermal resources: the case study of the Euganean Geothermal System (NE Italy). [PDF]

Environ Geochem Health, 2022
Torresan F, Piccinini L, Cacace M, Pola M, Zampieri D, Fabbri P.   +5 more
europepmc   +1 more source

Carbon emissions reduction and net energy generation analysis in the New Zealand electricity sector through to 2050 [PDF]

, 2013
Carbon Emissions Pinch Analysis (CEPA) and Energy Return On Energy Investment (ERoEI) analysis are combined to investigate the feasibility of New Zealand reaching and maintaining a renewables electricity target of above 80% by 2025 and 2050, while also ...
Atkins, Martin John, Walmsley, Michael R.W., Walmsley, Timothy Gordon   +2 more
core   +1 more source

Direct Numerical Simulation of Magnetohydrodynamic Slip‐Flow Past a Stretching Surface Using Physics‐Informed Neural Network

Heat Transfer, EarlyView.
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley   +1 more source