الفهرس 
CHAPTER-I INTRODUCTIONOnly 14 pages are availabe for public view
 |  | from | 292 |  |  |
| | | from | 292 | | |
Abstract
This study analyzed seismic and well log data in an attempt to interpret relationship between
rock properties and acoustic impedance and to construct amplitude versus offset (AVO)
models. The objective was to study sand properties and predict potential AVO classification.
Logs of West El Manzala area provided compressional and shear velocities. AVO synthetic
gather models were created using various gas/brine substitutions. The Fluid Replacement
Modeling predicted Class II/IIb AVO responses from gas sands. Log calibrated Lambda Mu
Rho (LMR) inversion provided a quantitative extraction of rock properties to clearly
determine lithology and fluids. Beyond the standard LMR cross-plotting that isolated gas
sand clusters in the log, an improved separation of high porosity sands from shale was also
achieved using λρ - μρ vs. AI. When applied to the calibrated AVO/LMR attributes inverted
from 3D seismic, the λρ analysis permitted a better isolation of prospective hydrocarbon
zones than standard AI inversion Thus, as an exploration tool for hydrocarbon accumulation,
the Lambda Mu Rho (λμρ) technique is a good indicator of the presence of low impedance
sands encased in shales which are good gas reservoirs.