02906nam a22005535i 4500 978-981-97-7628-3 DE-He213 20251030113232.0 cr nn 008mamaa 241017s2024 si | s |||| 0|eng d 9789819776283 978-981-97-7628-3 10.1007/978-981-97-7628-3 doi QE1-996.5 RBG bicssc SCI031000 bisacsh RBG thema Chen, Huanqing. author. aut http://id.loc.gov/vocabulary/relators/aut 86207 Geological Genetic Analysis and Application of Oil and Gas Reservoirs [electronic resource] / by Huanqing Chen. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIII, 233 p. 120 illus., 106 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 1. Introduction -- 2. Geological Genetic Analysis of Structures -- 3. Geological Genetic Analysis of Reservoirs -- 4. Geological Genetic Analysis of OGW Systems -- 5 Application of Geological Genetic Analysis of Oil and Gas Reservoirs in Field Development. This book presents the research on geological genetic analysis of oil and gas reservoirs. It expounds on the methods, problems, and prospects of geological genetic analyses of oil and gas reservoirs, considering structures, reservoirs, and oil–gas–water (OGW) systems. Then, it explains the application of geological genetic analysis of oil and gas reservoirs with examples of volcanic rocks in the Songliao Basin, glutenites in the northwestern Junggar Basin, and sandstones in the Liaohe Basin. It is a valuable reference for researchers, engineers, and graduate students engaged in oil/gas exploration both from industrial and academic sectors. Geology. 65838 Cogeneration of electric power and heat. 65839 Fossil fuels. 65840 Geophysics. 69226 Geotechnical engineering. 66388 Geology. 65838 Fossil Fuel. 65842 Geophysics. 69226 Geotechnical Engineering and Applied Earth Sciences. 66389 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819776276 Printed edition: 9789819776290 Printed edition: 9789819776306 https://doi.org/10.1007/978-981-97-7628-3 ZDB-2-EES ZDB-2-SXEE 64284 64284