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RESERVOIR CHARACTERIZATION USING FAR ELASTIC IMPEDANCE IN NORTHWESTERN PATTANI BASIN, GULF OF THAILAND |
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| รหัสดีโอไอ | |
| Creator | Nuttapong Keawmoon |
| Title | RESERVOIR CHARACTERIZATION USING FAR ELASTIC IMPEDANCE IN NORTHWESTERN 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. | 73-84 |
| Keyword | Far elastic impedance, Inversion, Seismic attributes |
| URL Website | https://www.bestjournal.org/ |
| Website title | Bulletin of Earth Sciences of Thailand |
| ISSN | 1906-280X |
| Abstract | Imaging reservoir distribution in the Pattani Basin, Gulf of Thailand is important and challenging. Due to the nature of the fluvial depositional environment, the reservoir is extremely compartmentalized by rapid lateral stratigraphic changes as well as intense normal faulting which is influenced by the regional tectonics of this area. The elastic impedance technique has been applied in order to exploit the amplitude variation with offset (AVO) information. The AVO information can provide a better lithology discrimination than acoustic impedance in this area. Eight well log data were used along with partial-angle stacked seismic data, especially far-angle stacked seismic data. Three main approaches have been applied in this study which are rock physics analysis, seismic inversion and seismic attribute technique. Crossplot analysis reveals that far elastic impedance (EI) provides the best lithology discrimination as well as the density log. P-impedance can also be used for lithology discrimination down to approximately 2,000 meters. Below 2,000 meters, the P-impedance from sand and shale lithologies begin to overlap. Fluid-bearing types are still difficult to differentiate by using rock physics analysis due to their overlapping zones. Accordingly, far EI inversion has been generated in order to extrapolate far EI value away from wells. The result of inversion shows a reasonable predicted far EI value at both inversion and blind-test wells. Moreover, multiple seismic attributes have been applied over the inversion result in order to improve the visualization of reservoir distribution. Results of seismic attributes against drilled well data show a correlation between a very low impedance and hydrocarbon sands and also successful imaging of reservoir distribution. The study results prove that applying these approaches can be used to distinguish reservoir section from other lithologies. The reservoir images can be used to predict reservoir distribution to reduce the exploration and development risks. |
