Anthropogenic inducing seismicity has been widely reported and investigated in many regions, including the shale gas fields in the Sichuan basin, where the number of earthquakes has increased substantially since the commence of fracking in late 2014. However, the mechanism of induced earthquakes remains poorly understood, partly due to the lack of high-resolution spatial-temporal seismicity evolution. In contrast to most of the previous studies using a diffusive earthquake catalog constructed by routine methods, we constructed a high resolution catalog using a machine learning detector and waveform cross-correlation. The newly developed catalog improves the magnitude completeness and detected one-third additional earthquakes with limited data. The resulted catalog illuminates a comprehensive spatial-temporal migration of the emerging seismicity in the target area, with one of the clusters clearly delineating a potential unmapped fault trace led to the Mw 5.0 in 2019 September, by far the largest earthquake in the region. The migration of the seismicity also demonstrates a pore-pressure diffusion front, suggesting additional constraints on the inducing mechanism of the region. The patterns of the highly clustered seismicity reconcile the causal link between the emerging seismicity and hydraulic fracturing in the region and facilitate continued investigation of the induced mechanisms and associated risks.