Geological delineation using shifted seismic attributes

• Main Authors: Gritsadapong Leaungvongpaisan, Pisanu Wongpornchai
• Format: Journal
• Published: 2018
• Subjects: Biochemistry, Genetics and Molecular Biology; Chemistry; Materials Science; Mathematics; Physics and Astronomy
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045632674&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/58284
• Institution: Chiang Mai University

© 2018, Chiang Mai University. All rights reserved. Details of geological information might be extracted from seismic data using seismic attributes which illustrate the specific characteristic of the data. Seismic attributes and visualizing techniques have been applied to seismic interpretation workflows. As the objectives, thin channels and fans are captured in the 3D offshore Parihaka and 3D onshore Stratton seismic surveys. The original seismic data are shifted upward and downward using the macro script before mixing together by the Red Green Blue (RGB) blending technique. In Parihaka survey, the architecture of channels, such as point bars and thin channels inside the fan could be highlighted at the time slice of 970 ms, 1120 ms and 1200 ms. In Stratton survey, the channel trend at 1586 ms could be delineated. The well data are confirmed the result from the shifted seismic attribute with the RGB blending technique for the channel detection. The result of spectral decomposition for both Parihaka and Stratton are compared to the RGB blending of shifted attributes. The similar channel trend and fan system could be identified from the RGB blending of spectral decompositions for both datasets, as they could be observed from the RGB blending of shifted attributes. The benefits of this study are to improve the confidence and accuracy of seismic interpretation and geological understanding. The understanding of thin bed connectivity could be useful in the reserve calculation and the economic analysis for hydrocarbon exploration and production.