Application of seismic attribute analysis to study fractured basement
Tóm tắt
Seismic attribute analysis is supposed to have a great potential to reveal latent geological features and has been implemented extensively in Cuu Long basin to predict the fractured reservoirs of the basement, however, the results so far have not been up to expectations. In this paper, previous seismic attribute studies are reviewed to show that the low signal to noise ratio (SNR) and the presence of artefacts are the main causes of inaccuracies or even misleading interpretations. To improve the effectiveness of seismic attributes in prediction of fractured reservoirs, three approaches to reduce the influence of noise and artefacts are proposed. The simplest way is to focus on the top basement surface instead of the section below it. A selective combination of independent attributes is used to delineate fault traces and anomalous zones related to rough boundaries on the top basement. To utilise the information inside the basement, principal component analysis (PCA) can be employed to separate noise and artefacts from the useful data. Ultimately, it is possible to increase the SNR in the processing stage with diffraction imaging technique. The processed data then can be analysed by seismic attributes or overlaid on conventional data to aid the interpretation of subtle faults and fractures.
Các tài liệu tham khảo
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