TY - JOUR
T1 - Detecting the thin bed of hydrocarbon contamination by GRP using attribute analysis
AU - Chen, How Wei
AU - Fan, Chung Chi
N1 - Publisher Copyright:
© 2015 SEG.
PY - 2015
Y1 - 2015
N2 - Attributes analysis is a commonly used data processing and interpretation technique in seismic exploration. The purpose of this study, attribute analysis is proposed, developed and implemented for GPR data to reveal detailed information in detecting the presence of hydrocarbon contaminants. One known hydrocarbon contaminated sites were investigated in order to verify its feasibility. GPR profiles acquired from field, in conjunction with actual field sampling along with the interpretation of attributes are demonstrated in this study. Finally, a conceptual site model of LNAPL contamination is illustrated to explain the observation from attributes. This study gives a good example that thin beds caused by floating LNAPL could be a useful signature for detecting hydrocarbon contamination.
AB - Attributes analysis is a commonly used data processing and interpretation technique in seismic exploration. The purpose of this study, attribute analysis is proposed, developed and implemented for GPR data to reveal detailed information in detecting the presence of hydrocarbon contaminants. One known hydrocarbon contaminated sites were investigated in order to verify its feasibility. GPR profiles acquired from field, in conjunction with actual field sampling along with the interpretation of attributes are demonstrated in this study. Finally, a conceptual site model of LNAPL contamination is illustrated to explain the observation from attributes. This study gives a good example that thin beds caused by floating LNAPL could be a useful signature for detecting hydrocarbon contamination.
UR - http://www.scopus.com/inward/record.url?scp=85018974586&partnerID=8YFLogxK
U2 - 10.1190/segam2015-5840799.1
DO - 10.1190/segam2015-5840799.1
M3 - 會議論文
AN - SCOPUS:85018974586
SN - 1052-3812
VL - 34
SP - 996
EP - 1000
JO - SEG Technical Program Expanded Abstracts
JF - SEG Technical Program Expanded Abstracts
T2 - SEG New Orleans Annual Meeting, SEG 2015
Y2 - 18 October 2011 through 23 October 2011
ER -