TY  - JOUR
AV  - none
N1  - cited By 11
SP  - 229
TI  - A new seismic attribute for ambiguity reduction in hydrocarbon prediction
SN  - 00168025
PB  - Blackwell Publishing Ltd
EP  - 239
N2  - Hydrocarbon prediction from seismic amplitude and amplitude-versus-offset is a daunting task. Amplitude interpretation is ambiguous due to the effects of lithology and pore fluid. In this paper, we propose a new attribute â??Jâ?? based on a Gassmannâ??Biot fluid substitution to reduce ambiguity. Constrained by seismic and rock physics, the J attribute has good ability to detect hydrocarbons from seismic data. There are currently many attributes for hydrocarbon prediction. Among the existing attributes, far-minus-near times far and fluid factor are commonly used. In this paper, the effectiveness of these two existing attributes was compared with the new attribute. Numerical modelling was used to test the new attribute â??Jâ?? and to compare â??Jâ?? with the two existing attributes. The results showed that the J attribute can predict the existence of hydrocarbon in different porosity scenarios with less ambiguity than the other two attributes. Tests conducted with real seismic data demonstrated the effectiveness of the J attribute. The J attribute has performed well in scenarios in which the other two attributes gave inaccurate predictions. The proposed attribute â??Jâ?? is fast and simple, and it could be used as a first step in hydrocarbon analysis for exploration. © 2016 European Association of Geoscientists & Engineers
IS  - 1
KW  - Forecasting; Hydrocarbons; Lithology; Seismic response; Seismic waves
KW  -  Amplitude versus offset; Attributes; Fluid factors; Fluid substitution; Hydrocarbon analysis; Hydrocarbon predictions; Seismic amplitudes; Seismic attributes
KW  -  Seismology
KW  -  AVO method; hydrocarbon exploration; numerical model; porosity; prediction; seismic data; seismicity
ID  - scholars9432
Y1  - 2017///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962809059&doi=10.1111%2f1365-2478.12367&partnerID=40&md5=ee13e2016bc25ea3861ed64b2b308633
A1  - Liu, C.
A1  - Ghosh, D.
JF  - Geophysical Prospecting
VL  - 65
ER  -