Seismic HC Detection in Fluvio - Deltaic System Using Integrated Quantitative Interpretation by Utilizing Reprocessing Data: Case Study of Intan Field, TAF - Asri Basin, Offshore SE Sumatera

Abstract

Along with the development of seismic imaging and increasingly advanced computing technology, the dream of geoscientists to identify reservoir fluids from seismic data will be easier to be accurately and comprehensively conduct. The need for complex seismic data in quality and quantity is a challenge in itself as an initial step for static and dynamic studies to determine how much oil reserves remain. Seismic processing technology and new quantitative seismic methods will further assist in an old oil fairway and mature field such as Fluvio-Deltaic Depositional Environment of Intan Field, Asri Basin, Offshore SE Sumatra. The results of seismic reprocessing show that the quality and quantity of new seismic data have increased sharply compared to old seismic data. This reprocessing data has been using to identify hydrocarbon reservoirs with various quantitative seismic  methods. The results of the seismic attribute, AVO, seismic impedance (LambdaRho -VpVs Ratio), lithological impedance (LI), spectral decomposition, RGB blending, and seismic facies results using the Bayesian classification method show that seismic hydrocarbon detection in a Meandering Channel System of sandstone reservoir can be identified accurately through integrated quantitative analysis.