Electric Imaging Fusion Technique Combining Singular Spectrum Interpolation with Mathematical Morphology in Amu Darya Basin

Summary In order to the fine evaluation on pore structure in fractured-vuggy reservoirs, the mathematical morphology method combined with singular spectrum interpolation is proposed to automatically extract fractures and vugs based on the electric imaging logging data with the high coverage rate and resolution. The singular spectrum interpolation is applied to reconstruct the full borehole electric logging images in spatial domain by calculating the low-rank conductivity matrix. For implementing the edge detection of the conductivity anomalies and constructing the fractured-vuggy pore structure spectrum, the structural elements on different scales and configurations are selected to perform various kinds of morphological filtering operators. The fusion technology combining mathematical morphology and singular spectrum interpolation is utilized to quantitatively characterize fractures and vugs in carbonate reservoirs in the east of the right bank of Amu Darya Basin. The results show that the novel fusion method can not only recognize fractures and vugs automatically, but also help to improve the efficiency of electric imaging logging data processing.