D 2017

Density Mapping Technology – Newly Developed Geophysical Method for the Determination of the Crustal Density Deviations

KAŠING, Martin; Petr JIRMAN; Marek GOLDBACH; Ľuboš SOKOL; Anastasia MELNYK et al.

Základní údaje

Originální název

Density Mapping Technology – Newly Developed Geophysical Method for the Determination of the Crustal Density Deviations

Autoři

KAŠING, Martin; Petr JIRMAN; Marek GOLDBACH; Ľuboš SOKOL a Anastasia MELNYK

Vydání

3 s. 2017

Nakladatel

European Association of Geoscientists and Engineers, EAGE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10500 1.5. Earth and related environmental sciences

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Označené pro přenos do RIV

Ne

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-94-6282-217-7

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 11. 10. 2019 16:56, Mgr. Petr Jirman, Ph.D.

Anotace

V originále

Density Mapping Technology (DMT) – a newly developed geodetic-geophysical method – provides new information about the density distribution within the upper parts of the Earth´s crust. The DMT method determines density anomalies in more detail compared to gravimetric methods. The more precise understanding of the structure and basement characterization is very important for hydrocarbon exploration. This method could mark out the potential areas of interest where additional seismic surveys could be planned. Finally, this workflow seems to be time saving and less expensive. We present result of the DMT method from the North Rona Basin of U.K. Atlantic margin. The North Rona Basin forms approximately 90 km long and up to 25 km wide north-east trending, south-east dipping half-graben complex (Ritchie et al. 2013). Presented map interpretation (Fig. 1) is based on the DMT method only. No other geophysical methods have been taken into account in the interpretation. The example demonstrates suitability of the DMT method for purposes of structural mapping. The results are compared to other geophysical and geological datasets.