LEADER 01579nam  2200421   450 
001 9910716835903321
005 20211006132456.0
035   $a(CKB)5470000002525828
035   $a(OCoLC)1273558289
035   $a(EXLCZ)995470000002525828
100   $a20211006j202103    ua             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSubsurface characterization and machine learning predictions at Brady Hot Springs $epreprint /$fKoenraad F. Beckers [and four others]
210  1$aGolden, CO :$cNational Renewable Energy Laboratory,$dMarch 2021.
215   $a1 online resource (8 pages) $ccolor illustrations, color map
225 1 $aNREL/CP ;$v5700-78975
300   $a"March 2021."
300   $a"Presented at the 46th Workshop on Geothermal Reservoir Engineering February 16-18, 2021."
320   $aIncludes bibliographical references (page 8).
517   $aSubsurface characterization and machine learning predictions at Brady Hot Springs 
606   $aMachine learning
606   $aGeothermal resources$zNevada
606   $aHot springs$zNevada
615  0$aMachine learning.
615  0$aGeothermal resources
615  0$aHot springs
700   $aBeckers$b Koenraad F.$01409458
712 02$aNational Renewable Energy Laboratory (U.S.),
801  0$bGPO
801  1$bGPO
906   $aBOOK
912   $a9910716835903321
996   $aSubsurface characterization and machine learning predictions at Brady Hot Springs$93495926
997   $aUNINA