Abstract

PSTM is a more advanced and technically accurate processing algorithm, and due to the reduction in the cost of the computing power, it is being used in large scale as an exploration tool. In this paper we have shown that the conventional methods for velocity field building can provide a good rms velocity field used for PSTM stack. Subsequently, this can be used for intial velocity model building for depth domain processing. The value of 3D PSTM over 3D PoSTM has resulted in significant improvement in the image quality. The byproduct of PSTM Processing, CRP gathers through Kirchoff algorithm can regularize our acquisition geometry, which is evident from the fold distribution plot. This uniformity in fold can help in focusing the exploration targets with confidence. Further, imaging capabilities of PSTM was shown by generating attributes to prove that interpreters have more confidence in delinations of reservoir parameters.PSTM is a more advanced and technically accurate processing algorithm, and due to the reduction in the cost of the computing power, it is being used in large scale as an exploration tool. In this paper we have shown that the conventional methods for velocity field building can provide a good rms velocity field used for PSTM stack. Subsequently, this can be used for intial velocity model building for depth domain processing. The value of 3D PSTM over 3D PoSTM has resulted insignificant improvement in the image quality. The byproduct of PSTM Processing, CRP gathers through Kirchoff algorithm can regularize our acquisition geometry, which is evident from the fold distribution plot. This uniformity in fold can help in focusing the exploration targets with confidence. Further, imaging capabilities of PSTM was shown by generating attributes to prove that interpreters have more confidence in delinations of reservoir parameters.