Identification of Dominant Seepage Channels in Water-flooded Reservoirs and Analysis of Their Effects

doi:10.19657/j.geoscience.1000-8527.2024.120

Abstract

Abstract:

The existence and distribution of dominant seepage channels in reservoirs significantly affect reservoir development countermeasures and development effects. This paper uses multiphase seepage and reservoir geology theory to establish a method to characterize the connectivity of sub-layers between injection and production wells and identify the existence of dominant seepage channels. Based on the sub-layer comparison method, geological modeling method and tracer method, the sand body connectivity and the development characteristics of dominant seepage channels of a representative well group in an oil field are dissected in detail. The research results show that among the injection-production wells in the example well group in the study area, the reservoir connectivity rates obtained by the three methods are quite different. Among them, the connectivity rate determined by the tracer method with higher accuracy is 40%, and three dominant seepage channels are identified in the key anatomical layers. The development degrees of the three dominant seepage channels are graded according to the tracer seepage rate and recovery rate. Compared with the actual monitoring results, the connectivity rate obtained by the comparative analysis of the sub-layer is obviously high, and the connectivity rate obtained by the geological modeling method and the tracer method is relatively close, and the connectivity rate obtained by the two methods is affected by the reservoir sedimentation and facies transformation law, heterogeneity and the fineness of the measured data of the developed sub-layer. The tracer method has the best effect in identifying the dominant seepage channel, and the identification accuracy is 25% higher than that of the geological modeling method.

Key words: dominant seepage channel, inter-well connectivity, tracer, sub-layer correlation, reservoir modeling

CLC Number:

P618.1

ZHANG Qingyu, JU Binshan. Identification of Dominant Seepage Channels in Water-flooded Reservoirs and Analysis of Their Effects[J]. Geoscience, 2024, 38(06): 1523-1531.

Figures/Tables 9

Fig.1 Comparison scheme of sub-layer division of IW1-1 well group

Fig.2 Numerical plot of the product of sub-layer thickness and permeability of well IW1-1 (1 mD= 1×10-3 μm2)

Fig.3 Identification of dominant seepage channels by sub-layer correlation method (taking P1-2 production well as an example)

Table 1 Connectivity of the IW1-1 well group determined by the sub-layer correlation method

生产井—注入井	小层对比连通率(%)
P1-1—IW1-1	66.67
P1-2—IW1-1	100.00
P1-3—IW1-1	83.33
P1-4—IW1-1	50.00
P1-5—IW1-1	66.67
全井组	73.33

Table 2 Connectivity of the IW1-1 well group determined by geological modeling

生产井—注入井	地质建模连通率(%)
P1-1—IW1-1	66.67
P1-2—IW1-1	66.67
P1-3—IW1-1	33.33
P1-4—IW1-1	50.00
P1-5—IW1-1	33.33
全井组	50.00

Table 3 Connectivity determined by tracer method in the IW1-1 well group

生产井—注入井	示踪剂连通率(%)
P1-1—IW1-1	33.33
P1-2—IW1-1	66.67
P1-3—IW1-1	33.33
P1-4—IW1-1	33.33
P1-5—IW1-1	33.33
全井组	40.00

Table 4 Comparison of the identification accuracy of the three methods in the IW1-1 well group

生产井— 注入井	小层对比连通率(%)	地质建模连通率(%)	示踪剂连通率 (%)
P1-1—IW1-1	66.67	66.67	33.33
P1-2—IW1-1	100.00	66.67	66.67
P1-3—IW1-1	83.33	33.33	33.33
P1-4—IW1-1	50.00	50.00	33.33
P1-5—IW1-1	66.67	33.33	33.33
全井组	73.33	50.00	40.00

Fig.4 Contour plot of the product of the sub-layer thickness(H) and permeability(K) of the L 1 2 sub-layer in the Iw1-1 well group

Fig.5 Reservoir connectivity revealed by the L 1 2 sub-layer injection and production well method of the IW1-1 well group by sub-layer comparison method (a), geological modeling method (b)and tracer method(c)

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