Abstract:Reservoir prediction by a single method is li-mited, because it is controlled by multiple factors in special areas. By referring to previous researches on geological characteristic of the Ordovician carbonate reservoirs in Qianmiqiao buried hills, we established a multiple-data fusion technique which utilizes seismic waveform parameter inversion and sensitive seismic attributes to characterize complex fractured-vug reservoirs controlled by lateral dissolved pores and fractures. Relieable lateral dissolved pore prediction was achieved by seismic waveform parameter inversion and impedance rebuilting from sensitive logging data. Fractured re-servoir identification was realized by optimizing fracture sensitive seismic attributes, such as curvature and ant volume, under the constraint of FMI. On the geological model, seismic inversion was fused with fracture prediction using the method based on support vector machine. The result can guarantee the precision of lateral dissolved pore predicion and reflect the connectivity of fractures. Field application shows that favorable reservoirs are developed along the major fault belt at a large scale. Wells drilled in the predicted favorable re-servoir zone have good production, and the accuracy is close to 89%. The results is helpful to locating development wells, increasing reserves and production.
闫家伟, 王文庆, 吕芳芳, 朱桂娟, 富会, 李振永. 复杂碳酸盐岩储层多数据融合预测技术——以千米桥潜山奥陶系为例[J]. 石油地球物理勘探, 2021, 56(3): 583-592.
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