(Table 2) Estimated basement temperatures at DSDP Hole 69-504B
Cobertura |
LATITUDE: 1.227200 * LONGITUDE: -83.730200 * DATE/TIME START: 1979-10-07T00:00:00 * DATE/TIME END: 1979-10-07T00:00:00 * MINIMUM DEPTH, sediment/rock: 300 m * MAXIMUM DEPTH, sediment/rock: 800 m |
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Data(s) |
28/06/1983
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Resumo |
The achievement of deep penetration (562 m) of seafloor basalts at Hole 504B, near the Costa Rica Rift (1°13.63'N, 83°43.81'W), on DSDP Legs 69 and 70 presented a rare opportunity to examine the structure of young (6 m.y.) oceanic crust. In addition to the recovery of samples for laboratory studies, an extensive suite of downhole logs and experiments was carried out at this site, for two main purposes: (1) to allow reliable deductions about the nature of the entire section of penetrated crust, because recovery of samples was far from complete (-25%); (2) to probe the physical state of rock around the drilled hole on a scale of tens of meters to kilometers. Information on the latter large-scale phenomena at Hole 504B were provided mainly by the oblique seismic experiment, utilizing a bore-hole seismometer (Stephen 1983), and by the large-scale-electrical- resistivity experiment described below. |
Formato |
text/tab-separated-values, 40 data points |
Identificador |
https://doi.pangaea.de/10.1594/PANGAEA.816214 doi:10.1594/PANGAEA.816214 |
Idioma(s) |
en |
Publicador |
PANGAEA |
Direitos |
CC-BY: Creative Commons Attribution 3.0 Unported Access constraints: unrestricted |
Fonte |
Supplement to: von Herzen, Richard P; Francis, T J G; Becker, Keir (1983): In situ large-scale electrical resistivity of ocean crust, Hole 504B. In: Cann, JR; Langseth, MG; Honnorez, J; Von Herzen, RP; White, SM; et al. (eds.), Initial Reports of the Deep Sea Drilling Project (U.S. Govt. Printing Office), 69, 237-244, doi:10.2973/dsdp.proc.69.106.1983 |
Palavras-Chave | #69-504B; Deep Sea Drilling Project; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP; Glomar Challenger; Leg69; Temperature, calculated; Temperature, in rock/sediment |
Tipo |
Dataset |