The user has requested enhancement of the downloaded file.
Interpretation of gravity and magnetic data with geological constraints
for 3D structure of the Thuringian Basin, Germany
Ilya Prutkin
a,*
, Peter Vajda
b
, Thomas Jahr
a
, Florian Bleibinhaus
a
,
Pavel Novák
c
,
Robert Tenzer
c,d
a
Institute
of Earth Sciences, Jena University, Burgweg 11, 07749 Jena, Germany
b
Geophysical Institute, Slovak Academy of Sciences, Dubravska cesta 9, 845 28 Bratislava, Slovakia
c
NTIS – New Technologies for the Information Society, Faculty of Applied Sciences, University of West
Bohemia, Technická 8, Plzeň, Czech Republic
d
School of Geodesy and Geomatics, Wuhan University, Wuhan, China
Abstract
We apply a novel method for the separation of potential field sources and their 3D inversion at the
regional study area of Thuringian Basin in central Germany. The gravity and magnetic data are
separated into long, medium and short wavelengths and then inverted separately. The main goal is to
study uniqueness of the solution and its stability in all numerical steps of the interpretation process
and to demonstrate, how geological constraints can diminish the degree of non-uniqueness by the
interpretation of the gravity and magnetic anomalies. Our numerical experiments with medium
wavelengths reveal that if we explain negative anomalies with the topography of near-surface layers,
the obtained solution is not supported by borehole data. These negative anomalies are thus explained
by restricted bodies (granitic intrusions) at the depths from 4 down to 10 km. These bodies are located
above a density interface with topography at the depth of approximately 10 km. The 3D inversion of
magnetic data (at short wavelengths) allows investigating a detailed structure of the upper boundary
of the crystalline basement: two uplifts in the depths between 2.0 and 0.7 km are found. By using the
residual negative anomalies we further study the salt tectonics, showing that the geometry of a salt
pillow with a thickness of approximately 200 m closely agrees with borehole data.
Key words:
Potential field methods, 3D inversion, Sedimentary basin
Dostları ilə paylaş: 
