الفهرس 
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Abstract
The objective of this thesis is comparative analysis of several standard methods, one new seismic pre-stack inversion methods and Amplitude Variation with Offset (AVO) attribute analysis in application to the Salma Delta Field 3D dataset. To prepare the data to the inversion, the data was processed with true amplitude recovery for Inversion purpose.
Three types of inversion methods were applied to the dataset and compared. First methods produces a solution for the post-stack acoustic impedance (AI) and it is performed by using the industry-standard Hampson-Russell software. The second method (deterministic pre-stack inversion) uses Hampson-Russell software. In that approach, the pre-stack gathers are inverted for elastic impedance by range- limited stacking of the common-midpoint (CMP) gathers in offsets and/or angles and then performing independent inversion of angle stack. Further, simultaneous inversion is applied to pre-stack seismic data to invert for both the P- and S-wave impedances. These impedances are used to extract the Lamé parameters multiplied by density (LMR), and used to extract the ratios between the P- and S-wave velocities. In addition, CMP gathers are used to produce AVO attribute images, which are good indicators of gas reservoirs. Finally, the results of the different inversion techniques are interpreted and correlated with well-log data and used to characterize the reservoir.
The different inversion results show clearly the reservoir with its related low impedance within the channel. The stochastic pre-stack inversion gives the best result; in particular, the stochastic inversion provides a higher resolution image while the model-based inversion shows a smoothed image. where the deterministic inversion gives similar results to the post-stack inversion.