TY  - JOUR
N1  - cited By 13
SP  - 902
TI  - Discriminating lithology and pore fill in hydrocarbon prediction from seismic elastic inversion using absorption attributes
AV  - none
EP  - 909
PB  - Society of Exploration Geophysicists
SN  - 1070485X
N2  - Separation of lithology from pore fill remains a daunting task, even if using elastic inversion. This is one of the unsolved problems for hydrocarbon prediction in Malaysian basins because of complexities coupled with lithologic trends and fluid responses, which produce an ambiguity due to equivalences. We address this problem and propose a unique transformation in which decoupling can be achieved. From the output of a constrained elastic inversion, a relationship of VP/VS and new attributes SQp and SQs related to attenuation by linking through rock physics can be derived. They are good proxies for gamma rays (SQp) and resistivity logs (SQs) and can clearly identify the zone of interest with hydrocarbon potential. These attributes can also be used for petrophysical-properties prediction with high accuracy. This breakthrough would have a considerable effect on hydrocarbon prediction and lithology discrimination. Other than being a hydrocarbon and lithology indicator, SQp and SQs can also potentially be used as input for prediction of petrophysical properties such as porosity, net-to-gross, water saturation, and resistivity transform from elastic properties. © 2017 by The Society of Exploration Geophysicists.
IS  - 11
ID  - scholars8184
KW  - Gamma rays; Hydrocarbons; Lithology; Petrophysics; Seismic prospecting; Seismology
KW  -  Attenuation; Elastic properties; Hydrocarbon potential; Hydrocarbon predictions; Lithology discrimination; Petrophysical properties; Reservoir characterization; Seismic attributes
KW  -  Forecasting
KW  -  adsorption; gamma radiation; geophysics; hydrocarbon; lithology; seismic data
A1  - Hermana, M.
A1  - Ghosh, D.P.
A1  - Sum, C.W.
JF  - Leading Edge
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034081653&doi=10.1190%2ftle36110902.1&partnerID=40&md5=b4c00c33e28a60b624edea4e3b3f8307
VL  - 36
Y1  - 2017///
ER  -