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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:16.0pt;line-height:115%;font-family:"Tahoma","sans-serif"'>MS Thesis Defense<o:p></o:p></span></b></p><p class=MsoNormal align=center style='text-align:center'><b><span style='font-size:16.0pt;line-height:115%;font-family:"Tahoma","sans-serif"'>Automatic First Break Detection by Spectral Decomposition using Minimum Uncertainty Wavelets<o:p></o:p></span></b></p><p class=MsoNormal align=center style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;text-align:center;line-height:150%'><b><span style='font-size:14.0pt;line-height:150%;font-family:"Tahoma","sans-serif"'>Sunil Kapur</span></b><b><span style='font-size:12.0pt;line-height:150%;font-family:"Tahoma","sans-serif"'><o:p></o:p></span></b></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><b><span style='font-size:12.0pt'>Date:</span></b><span style='font-size:12.0pt'> <b>Monay, November 19th, 2012</b><o:p></o:p></span></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><span style='font-size:12.0pt'><o:p> </o:p></span></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><b><span style='font-size:12.0pt'>Location:</span></b><span style='font-size:12.0pt'> ME Small Conference Room<o:p></o:p></span></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><b><span style='font-size:12.0pt'>Time:</span></b><span style='font-size:12.0pt'> 12:30 pm<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;line-height:normal'><b><o:p> </o:p></b></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><b><span style='font-size:12.0pt'>Committee Members: </span></b><span style='font-size:12.0pt'><o:p></o:p></span></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'>Dr. Donald Kouri<o:p></o:p></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'>Dr. Haleh Ardebili<o:p></o:p></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'>Dr. Jagannatha Rao<o:p></o:p></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;line-height:normal'><span style='font-size:12.0pt'><o:p> </o:p></span></p><p class=MsoNormal align=center style='margin-bottom:0in;margin-bottom:.0001pt;text-align:center;line-height:normal'><span style='font-size:12.0pt'><o:p> </o:p></span></p><p class=MsoNormal style='text-indent:.5in;line-height:150%'><span style='font-size:12.0pt;line-height:150%'>Seismic Signal Processing can be effectively utilized to determine the micro-seismic events. With the advances in hydraulic fracturing techniques, first break detection has become really important in locating the micro-seismic events. The measured data collected gathers far more information that can be extracted by human operators and their interpretations consume a lot of time. The transformation in the computational efficiency suggests the involvement of computers in interpreting the measured data. We suggest a new method of first break detection that is based on time-frequency spectral decomposition method and utilizes the Cn Transform and the Super-Gaussian mu wavelets. We tested our method on lab data with various signals and first arrival time was determined. The results were compared to the manual detection and our method had an accuracy of 0.6 mu seconds. The results indicate that our method is robust and is successful in detecting the first arrival time automatically.<o:p></o:p></span></p><p class=MsoNormal style='text-align:justify;line-height:200%'><span style='font-size:12.0pt;line-height:200%;color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify;line-height:200%'><span style='font-size:12.0pt;line-height:200%'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify;line-height:200%'><o:p> </o:p></p></div></body></html>