ESTIMATION OF FLUIDS AND LITHOLOGIC DISTRIBUTION USING THE COMBINATION OF AVO INVERSION AND MULTI-ATTRIBUTE

• Main Author: S.R. IABUY (NIM 12403024), ALAN
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/7128
• Institution: Institut Teknologi Bandung

Some methods like the Amplitude Versus Offset (AVO), inversion, and multi-attribute were used in purpose to discriminate lithology and identifies fluids from the seismic data. In fact, those methods are not always successfully used, because the seismic data itself also have differences from one another. In aim to have the optimal results, pre-analysis are necessary needed. This kind of analysis could help us in making a decision about what kind of data processing we should do, what methods we use, furthermore how to get the best workflow. In this case, pre-analysis were makes after doing some works like sensitivity analysis, and also the synthetic data modeling. From the sensitivity analysis, we conclude that Supernova* field have two different data characteristic, the first case is high-impedance sand, and the other ones is low-impedance sand. Besides that, the sensitivity analysis also tells us that the Lambda / Mu parameters could possibly used to discriminate sands from shale. But from the Lambda / Mu log data we could found out that the contrast are not significantly separates sands from shale, therefore the seismic data processing focused on estimating the lithologic distribution using multi attribute method with gamma ray as log target. The seismic data processing result shows that the sand at 930 ms (S3) is potentially filled with gas. In the other hand, the estimation of lithologic distribution using multi-attribute method could give fine results, especially the low-impedance sand which distributed at 800 until 1000 ms more or less. <br />