RESERVOIR CHARACTERIZATION USING MULTI-ATTRIBUTE SEISMIC ANALYSIS AT TEAPOT DOME FIELD

Abstract

Seismic inversion is a commonly used method in reservoir characterization. However, this approach is sometimes insufficient to describe relationship between seismic parameters and the physical properties of reservoir rocks. Therefore, a multi-attribute seismic analysis was applied to improve the correlation between them. This study aims to analyze porosity distribution using multi-attribute analysis, and to evaluate reservoir quality based on the estimated porosity within the F1WC and F2WC zones of the Frontier Formation in the Teapot Dome Field. The data used in this research includes well logs from four wells (48-X-28, 88-DX-3, 67-1-TpX-10, and 64-JX-15) and 3D post-stack seismic data. Model-based inversion is performed to obtain acoustic impedance volume which was used as an input of multi-attributes analysis along with another seismic attribute. A crossplot between actual and predicted porosity shows that the multi-attribute linear regression method reached a correlation of 0.766. The estimated porosity in the F1WC and F2WC zones ranges from 15% to 19%. In the F1WC zone, well 48-X-28 shows the highest porosity (18%) with low acoustic impedance values, while the southern area, particularly around well 64-JX-15, has lower porosity (17%) and higher AI values. In comparison, the F2WC zone exhibits slightly lower porosity values in each well (16% to 17%) but shows a more consistent distribution across most wells and a clearer correlation with the structural pattern. Although well 64-JX-15 in this zone still displays low porosity and high AI, the overall characteristics indicate more stable compaction control and better reservoir potential in the F2WC zone compared to F1WC.