1887

Abstract

Summary

The fracture-cavity carbonate rock is the typical reservoir of Tarim oilfield in Tarim basin. The main storage spaces of this kind of reservoir are secondary dissolved pores and fractures that are dominated by different scales of caves, dissolved pores and fractures. The connectivity of reservoir is an important factor to restrict the stage of exploration and development. Recognizing faults accurately is the key to analyze the connectivity of reservoir. In this paper, an advance fault discrimination method is proposed to better identify sub-seismic faults. First, the similarity and curvature attributes are computed to enhance the discontinuity of seismic data. These attributes have different abilities for faults identification. Then integration of these attributes via supervised neural network algorithm to enhance the discontinuity of seismic again. Ant tracking technique is then applied to the integrated seismic cube. This method can identify fault more accurately. The fault interpretation results of this method illustrate clearly the connection relationship between four wells in the study area.

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/content/papers/10.3997/2214-4609.201801604
2018-06-11
2024-03-28
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References

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