@phdthesis{Liebs2014, author = {Liebs, G{\"o}ran}, title = {Ground penetration radar wave velocities and their uncertainties}, doi = {10.25932/publishup-43680}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-436807}, school = {Universit{\"a}t Potsdam}, pages = {ii, 106}, year = {2014}, abstract = {We develop three new approaches for ground penetration wave velocity calcultaions. The first is based on linear moveout spectra to find the optimum ground wave velocity including uncertainties from multi-offset data gathers. We used synthetic data to illustrate the principles of the method and to investigate uncertainties in ground wave velocity estimates. To demonstrate the applicability of the approach to real data, we analyzed GPR data sets recorded at field sites in Canada over an annual cycle from Steelman \& Endres [2010]. The results obtained by this efficient and largely automated procedure agree well with the manual achieved results of Steelman \& Endres [2010], derived by a more laborious largely manual analysis strategy. Then we develop a second methodology to global invert reflection traveltimes with a particle swarm optimization approach more precise then conventional spectral NMO-based velocity analysis (e.g., Greaves et al. [1996]). For global optimization, we use particle swarm optimization (PSO; Kennedy \& Eberhart [1995]) in the combination with a fast eikonal solver as forward solver (Sethian [1996]; Fomel [1997a]; Sethian \& Popovici [1999]). This methodology allows us to generate reliability CMP derived models of subsurface velocities and water content including uncertainties. We test this method with synthetic data to study the behavior of the PSO algorithm. Afterward, We use this method to analyze our field data from a well constrained test site in Horstwalde, Germany. The achieved velocity models from field data showed good agreement to borehole logging and direct-push data (Schmelzbach et al. [2011]) at the same site position. For the third method we implement a global optimization approach also based on PSO to invert direct-arrival traveltimes of VRP data to obtain high resolution 1D velocity models including quantitative estimates of uncertainty. Our intensive tests with several traveltime data sets helped to understand the behavior of PSO algorithm for inversion. Integration of the velocity model to VRP reflection imaging and attenuation model improved the potential of VRP surveying. Using field data, we examine this novel analysis strategy for the development of petrophysical models and the linking between GPR borehole and other logging data to surface GPR reflection data.}, language = {de} } @phdthesis{Muksin2014, author = {Muksin, Umar}, title = {A fault-controlled geothermal system in Tarutung (North Sumatra, Indonesia)investigated by seismological analysis}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-72065}, school = {Universit{\"a}t Potsdam}, year = {2014}, abstract = {The seismic structure (Vp, Vp/Vs, and Qp anomalies) contributes to the physical properties and the lithology of rocks and possible fluid distribution in the region. The Vp model images the geometry of the Tarutung and the Sarulla basins. Both basins have a depth of around 2.0 km. High Vp/Vs and high attenuation (low Qp) anomalies are observed along the Sarulla graben associated with a weak zone caused by volcanic activities along the graben. Low Vp/Vs and low conductivity anomalies are found in the west of the Tarutung basin. This anomaly is interpreted as dry, compact, and rigid granitic rock in the region as also found by geological observations. Low Vp, high Vp/Vs and low Qp anomalies are found at the east of the Tarutung basin which appear to be associated with the three big geothermal manifestations in Sipoholon, Hutabarat, and Panabungan area. These anomalies are connected with high Vp/Vs and low Qp anomalies below the Tarutung basin at depth of around 3 - 10 km. This suggests that these geothermal manifestations are fed by the same source of the hot fluid below the Tarutung basin. The hot fluids from below the Tarutung basin propagate to the more dilatational and more permeable zone in the northeast. Granite found in the west of the Tarutung basin could also be abundant underneath the basin at a certain depth so that it prevents the hot fluid to be transported directly to the Tarutung basin. High seismic attenuation and low Vp/Vs anomalies are found in the southwest of the Tarutung basin below the Martimbang volcano. These anomalies are associated with hot rock below the volcano without or with less amount of partial melting. There is no indication that the volcano controls the geothermal system around the Tarutung basin. The geothermal resources around the Tarutung basin is a fault-controlled system as a result of deep circulation of fluids. Outside of the basin, the seismicity delineation and the focal mechanism correlate with the shape and the characteristics of the strike-slip Sumatran fault. Within the Tarutung basin, the seismicity is distributed more broadly which coincides with the margin of the basin. An extensional duplex system in the Tarutung basin is derived from the seismicity and focal mechanism analysis which is also consistent with the geological observations. The vertical distribution of the seismicity suggests the presence of a negative flower structure within the Tarutung basin.}, language = {de} }