Publications

Traditional noise attenuation methods attempt to separate signal from noise by transforming data into a domain, where the signal or noise is modeled mathematically and can be separated. LIFT, is a new technique to attenuate noise and multiples, and takes a new approach by adding back an estimate of the signal lost during the modeling, rather than simply outputting the signal model. This approach greatly improves signal preservation. It is a practical and robust amplitude preserving way to pre-condition data for pre-stack migration, to prevent migration artifacts as well. The SG-D well was drilled in 2012 as a step-out well to better drain the A Sand. Before drilling, we identified the distribution of the A Sand using extracted RMS amplitude. However, drilling results were poorer than expected. The A Sand was rather tight in the well, although the extracted RMS amplitude showed a better character in the SG-D than in other wells. The contradiction between good extracted amplitude and poor reservoir quality in the SG-D led us to revisit our 3D seismic cube data, and found that it had a poor signal to noise ratio. In order to ensure the 3D cube can be reliably used for facies distribution interpretation, the signal to noise ratio should be increased. So, we re-processed the 3D cube carefully to preserve amplitude. The LIFT technique was applied to our study has successfully improved the degree of preservation, and signal to noise ratio as well. Seismic data attribute generation is conducted by a spectral decomposition method, seismic inversion and dip deviation attribute. All three techniques provided a consistent attribute distribution at the A Sand, indicating a good contrast between the interpreted tidal channel with the surrounding intertidal floodplain, as well as reservoir properties.