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RESERVOIR CHARACTERIZATION USING ROCK PHYSICS AND SPECTRAL DECOMPOSITION, PATTANI BASIN, GULF OF THAILAND |
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| รหัสดีโอไอ | |
| Creator | Sabrina Sultana Snigdha |
| Title | RESERVOIR CHARACTERIZATION USING ROCK PHYSICS AND SPECTRAL DECOMPOSITION, PATTANI BASIN, GULF OF THAILAND |
| Contributor | - |
| Publisher | Department of Geology, Chulalongkorn University |
| Publication Year | 2559 |
| Journal Title | Bulletin of Earth Sciences of Thailand (BEST) |
| Journal Vol. | 8 |
| Journal No. | 2 |
| Page no. | 145-156 |
| Keyword | Rock Physics Analysis, Reservoir wedge modeling, Spectral decomposition, Low frequency anomalies. |
| URL Website | https://www.bestjournal.org/ |
| Website title | Bulletin of Earth Sciences of Thailand |
| ISSN | 1906-280X |
| Abstract | The aim of the present study is to apply rock physics for a better understanding of rock properties of various lithologies and apply spectral decomposition technique for the prediction of hydrocarbon zones in Pattani Basin of the Gulf of Thailand. Rock physics analysis reveals that seismic inversion techniques could not always differentiate lithologies and reservoir fluids due to similar rock physics properties of various lithologies. Reservoir wedge modeling, spectral decomposition of the synthetic and field data were conducted to understand the spectral decomposition response to thickness variation and reservoir fluids. Results revealed that gas saturated zones have high amplitudes as compared to water-wet zones, and the contrast is significant in the case of extremely low frequencies (from 10 to 15 Hz) outputs of far angle partial stacks. Organic shales show bright amplitudes on the seismic section, which are similar to the gas sands. However, spectral decomposition of synthetic seismogram of these shales indicates that it consists of only relatively higher frequencies (greater than 25Hz), and low frequencies are missing within the organic shales. Based on the results of synthetic modeling, it is inferred that gas sands can be differentiated by using low frequencies (10 to 15 Hz). Horizon slices, extracted from low-frequency volumes of the spectral decomposition of far angle partial stacks show the spatial distribution of hydrocarbons which match with existing well data. Hence, this workflow is useful for reservoir characterization where conventional seismic inversion techniques fail due to similar rock physics properties of different lithologies and fluids. |
