Characterization of pores and microfractures in tight conglomerate reservoirs

Abstract

This study aimed to carry out the data-driven evaluation of pores and microfractures in tight conglomerate reservoirs combining machine learning and complex geometric analysis, then investigate the internal control factors of reservoir damage.Results show that for the Upper Wuerhe formation of Mahu sag in Xinjiang of China, the average contribution rate of microfractures to fluid storage and seepage is 7.1 times that of pores, and microfractures dominate in fluid storage and seepage. Besides, the average contact probability between microfractures and fluids is 3.0 times that of pores. Compared with microfractures, pores are more conducive to form a homogeneous distribution of seepage flow and expand the sweep efficiency. On the contrary, microfracture is the dominant factor to aggravate the heterogeneity of seepage.The conclusions will provide crucial theoretical support and practical basis for the effective exploitation of tight conglomerate oil.