Abstract

Reservoir characterization is one of the essential and challenging part of any field development as it is needed to formulate the optimum well placement strategy so that returns can be maximized with prudent investments. Seismic Inversion plays a very crucial part in reservoir characterization, which is highly dependent on input seismic data quality. In general, conventional processing attempts to preserve the amplitude and AVO behavior, but for carrying out robust simultaneous inversion (SI) and Extended Elastic Impedance (EEI) the data quality is often less than appropriate, as these techniques require specific target oriented processing. Now a days it