This study aimed to carry out the data-driven evaluation of pores and microfractures in tight conglomerate reservoirs combining machine learning complex geometric analysis, then investigate internal control factors reservoir damage. Results show that for Upper Wuerhe formation Mahu sag Xinjiang China, average contribution rate fluid storage seepage is 7.1 times pores, dominate seepage. Besides,...

Mahu conglomerate oilfield has strong heterogeneity. Currently, large-scale hydraulic fracturing is commonly used for reservoir reconstruction. The geometry of fractures influenced by gravel. By referring to the scanning and logging results a reservoir, considering characteristics gravel development in Oilfield python programming establish finite element model containing matrix, bonding interfa...