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1. Geoelectric structure estimated from magnetotelluric data from the Uttarakhand Himalaya, India

Himalaya.JPG

Abstract : 

Geoelectric strike and resistivity structure of the crust have been estimated from 37 magnetotelluric (MT) data sites along a profile from Roorkee to Gangotri in Uttarakhand Himalaya. Impedance decomposition schemes based on Bahr’s, Groom Bailey and Phase tensor were implemented in a MATLAB code for the average strike estimation. Geoelectric strike direction varies with period as well as in different lithotectonic units along the profile. In the period band from 1 to 100 s average geoelectric strike in the southern end of the profile (Indo-Gangetic Plains) is N79â—¦W, which is slightly rotated to the north in the Lesser Himalayan region and becomes N68â—¦W whereas it is N81â—¦W in the Higher Himalayan region. However, average strike is stabilized to N77â—¦W for the entire profile in the long period band (100–1000 s). Geoelectrical structure of the crust has been obtained along the profile by 2D inversion of MT data. Major features of 2D resistivity model are: (i) southern part of the model is a low resistivity (1000 Ωm) layer below the IGP sediments is the basement rock, representing the resistivity of the top of the subducting Indian Plate; (iii) the Main Boundary Thrust (MBT) and the Main Central Thrust (MCT) zones can be seen in the electrical image. However, the Himalayan Frontal Thrust (HFT) could not be resolved and (iv) a low resistivity (<10 Ωm) feature in the MCT zone extending to the depth of 30 km is delineated. This low resistivity could be due to fluid-filled fractured rock matrix or partial melt zone. Hypocenters of many earthquakes are concentrated along the boundary of this low resistivity zone and relatively high resistivity blocks around it. The resulted model supports flat-ramp-flat geometry of the Main Himalayan Thrust along which the Indian Plate is subducting.

2. Geophysical investigations at the Istron archaeological site, eastern Crete, Greece using seismic refraction and electrical resistivity tomography.

Crete.JPG

Abstract : 

The subsurface characteristics of the archaeological site of Priniatikos Pyrgos at Istron, Eastern Crete were studied through the combined use of seismic and electrical tomography techniques. Twenty-nine seismic refraction profiles were applied to determine soil thickness and bedrock geometrical characteristics. First arrivals were picked and a 3D algorithm of seismic tomography was used to invert the travel times. To confirm the reliability of the final results a checkboard test was used. Part of the seismic area was overlapped with six electrical resistivity tomography sections. The ERT data were used to validate the resulted tomographic images. The integrated application of these tomographic methods enhanced the knowledge regarding the geological conditions and contributed in the archaeo-environmental reconstruction of Istron area by providing indications regarding the ancient harbour of the nearby settlement.

3. CRS Stack for Reservoir Characterization - A Case Study on 3D Onshore Data.

Abstract :
 

The Common-Reflection-Surface (CRS) stack has originally been developed as a tool to provide enhanced Zero-Offset sections for improved structural poststack imaging. Recent extensions of the CRS method, i.e., the Common-Offset CRS stack or prestack seismic data enhancement, allow to generate whole new enhanced and, if desired, regularized prestack datasets which lead to better structural prestack imaging. Their behaviour with respect to amplitude preservation, and thus to reservoir characterization, has, however, never been completely investigated. In this paper we present a case study on 3D seismic land data of moderate quality which demonstrates that the application of the CRS stack prior to prestack amplitude inversion may lead to improved inversion results (in terms of P-Impedance and Poisson's ratio). In addition, the enhanced quality of the prestack data does not only directly translates into cleaner inversion results, but does also stabilize the inversion workflow, particularly the wavelet extraction, itself.

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