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[null,"1.","Record Nr.",null,"UNISA990006166260203316"]
[null,null,"Autore",null,"ADLER, Max <1873-1937>"]
[null,null,"Titolo",null,"2. : Natur und Gesellschaft / Max Adler"]
[null,null,"Pubbl/distr/stampa",null,"Wien [etc.], : Europa, 1964"]
[null,null,"Descrizione fisica",null,"167 p. ; 20 cm."]
[null,null,"Collana",null,"Geist und gesellschaft , Texte zum studium der sozialen entwicklung"]
[null,null,"Disciplina",null,"335.4"]
[null,null,"Soggetti",null,"Marxismo"]
[null,null,"Collocazione",null,"XV.10. 233/2"]
[null,null,"Lingua di pubblicazione",null,"Tedesco"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910807047103321"]
[null,null,"Autore",null,"Pukite Paul"]
[null,null,"Titolo",null,"Mathematical geoenergy : oil discovery, depletion and renewable energy analysis / / Paul Pukite, Dennis Coyne, Daniel Challou"]
[null,null,"Pubbl/distr/stampa",null,"Hoboken, New Jersey : , : Wiley, , 2019"]
[null,null,"ISBN",null,"1-119-43433-5"]
[{"$nulls":4},"1-119-43430-0"]
[{"$nulls":4},"1-119-43435-1"]
[null,null,"Descrizione fisica",null,"1 online resource (376 pages)"]
[null,null,"Collana",null,"Geophysical Monograph ; ; 241"]
[null,null,"Disciplina",null,"333.79"]
[null,null,"Soggetti",null,"Power resources - Mathematical models"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","\"GeoEnergy encompasses the range of energy technologies and sources that interact with the geological subsurface. Fossil fuel availability studies have historically lacked concise modeling, tending instead toward heuristics and overly-complex processes. Mathematical GeoEnergy: Oil Discovery, Depletion and Renewal details leading-edge research based on a mathematically-oriented approach to geoenergy analysis. Volume highlights include: Applies a formal mathematical framework to oil discovery, depletion, and analysis; employs first-order applied physics modeling, decreasing computational resource requirements; illustrates model interpolation and extrapolation to fill out missing or indeterminate data; covers both stochastic and deterministic mathematical processes for historical analysis and prediction; emphasizes the importance of up-to-date data, accessed through the companion website; demonstrates the advantages of mathematical modeling over conventional heuristic and empirical approaches; and accurately analyzes the past and predicts the future of geoenergy depletion and renewal using models derived from observed production data\"--Provided by publisher"]