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Detecting and modeling subsurface fr...

The University of North Carolina at Chapel Hill., Geological Sciences.

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Detecting and modeling subsurface fracture systems in geothermal fields using shear-wave splitting.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Detecting and modeling subsurface fracture systems in geothermal fields using shear-wave splitting./
作者:	Tang, Chuanhai.
面頁冊數:	150 p.
附註:	Adviser: Jose A. Rial.
Contained By:	Dissertation Abstracts International70-04B.
標題:	Geophysics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3352923
ISBN:	9781109112634

Detecting and modeling subsurface fracture systems in geothermal fields using shear-wave splitting.
Tang, Chuanhai.

Detecting and modeling subsurface fracture systems in geothermal fields using shear-wave splitting. - 150 p.

Adviser: Jose A. Rial.

Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2009.

Shear wave splitting (SWS) is emerging as a useful exploration tool for geothermal fields as it can detect the geometry of the fracture system and the intensity of cracking within the geothermal reservoir. The method is based on the analyses of polarizations (ϕ) and time delays (delta t) of split shear-waves that have been distorted by the anisotropy of the medium through which the seismic waves have propagated. Two experiments were conducted in Krafla and Hengill geothermal fields in Iceland in the summers of 2004 and 2005 respectively. Clear evidences of SWS were observed in both sites. In Krafla, in addition to the observed prevalence of a crack system oriented in approximately N--S direction which is consistent with the direction of regional rift zone, fast shear-wave polarization directions along a general E--W direction are also persistent. In Hengill, the measurements and consequent inversions of the shear-wave splitting parameters have provided evidence for a predominant fracture system oriented approximately NNE-SSW which is consistent with the regional tectonics in SW Iceland.

ISBN: 9781109112634Subjects--Topical Terms:

535228
Geophysics.

Detecting and modeling subsurface fracture systems in geothermal fields using shear-wave splitting.
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245 1 0 $a Detecting and modeling subsurface fracture systems in geothermal fields using shear-wave splitting.
300 $a 150 p.
500 $a Adviser: Jose A. Rial.
500 $a Source: Dissertation Abstracts International, Volume: 70-04, Section: B, page: 2147.
502 $a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2009.
520 $a Shear wave splitting (SWS) is emerging as a useful exploration tool for geothermal fields as it can detect the geometry of the fracture system and the intensity of cracking within the geothermal reservoir. The method is based on the analyses of polarizations (ϕ) and time delays (delta t) of split shear-waves that have been distorted by the anisotropy of the medium through which the seismic waves have propagated. Two experiments were conducted in Krafla and Hengill geothermal fields in Iceland in the summers of 2004 and 2005 respectively. Clear evidences of SWS were observed in both sites. In Krafla, in addition to the observed prevalence of a crack system oriented in approximately N--S direction which is consistent with the direction of regional rift zone, fast shear-wave polarization directions along a general E--W direction are also persistent. In Hengill, the measurements and consequent inversions of the shear-wave splitting parameters have provided evidence for a predominant fracture system oriented approximately NNE-SSW which is consistent with the regional tectonics in SW Iceland.
520 $a Based on our previous research we have developed and consolidated a number of algorithms that can in principle make possible the automatic monitoring of subsurface fracture systems in geothermal fields. Seismic data are collected from an array of three-component seismic sensors. When a seismic event is detected it will be readily located provided that the record is available at no less than four seismometers. If shear-wave splitting is determined to be present for an event, both parameters (ϕ and deltat) will be automatically measured using a newly developed method based on the analysis of multiple time windows. An automated SWS algorithm is performed for a series of time windows to yield a series of estimated pairs of ϕ and deltat, followed by a cluster analysis to finally determine the best estimate of polarization and time delay. Then, if the event is within the shear-wave window of any recording station, the measured parameters will be combined with all available measurements and used to invert for the orientation and intensity of cracks in the vicinity of that station.
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790 1 0 $a Stewart, Kevin G. $e committee member
790 1 0 $a Wagner, Lara S. $e committee member
791 $a Ph.D.
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