TY  - JOUR
A1  - Koyan, Philipp
A1  - Tronicke, Jens
A1  - Allroggen, Niklas
T1  - 3D ground-penetrating radar attributes to generate classified facies models
BT  - a case study from a dune island
JF  - Geophysics
N2  - Ground-penetrating radar (GPR) is a standard geophysical technique used to image near-surface structures in sedimentary environments. In such environments, GPR data acquisition and processing are increasingly following 3D strategies. However, the processed GPR data volumes are typically still interpreted using selected 2D slices and manual concepts such as GPR facies analyses. In seismic volume interpretation, the application of (semi-)automated and reproducible approaches such as 3D attribute analyses as well as the production of attribute-based facies models are common practices today. In contrast, the field of 3D GPR attribute analyses and corresponding facies models is largely untapped. We have developed and applied a workflow to produce 3D attribute-based GPR facies models comprising the dominant sedimentary reflection patterns in a GPR volume, which images complex sandy structures on the dune island of Spiekeroog (Northern Germany). After presenting our field site and details regarding our data acquisition and processing, we calculate and filter 3D texture attributes to generate a database comprising the dominant texture features of our GPR data. Then, we perform a dimensionality reduction of this database to obtain meta texture attributes, which we analyze and integrate using composite imaging and (also considering additional geometric information) fuzzy c-means cluster analysis resulting in a classified GPR facies model. Considering our facies model and a corresponding GPR facies chart, we interpret our GPR data set in terms of near-surface sedimentary units, the corresponding depositional environments, and the recent formation history at our field site. Thus, we demonstrate the potential of our workflow, which represents a novel and clear strategy to perform a more objective and consistent interpretation of 3D GPR data collected across different sedimentary environments.
KW  - ground-penetrating radar
KW  - attributes
KW  - interpretation
KW  - sedimentology
Y1  - 2021
U6  - https://doi.org/10.1190/GEO2021-0204.1
SN  - 0016-8033
SN  - 1942-2156
VL  - 86
IS  - 6
SP  - B335
EP  - B347
PB  - Society of Exploration Geophysicists
CY  - Tulsa
ER  -