Abstract: The shale gas reservoir characterization in area W of the Sichuan Basin is analyzed using seismic, fracturing, and micro-seismic data from three horizontal wells.From the analysis of micro-seismic monitoring data, we know that after fracturing, pre-existing natural faults were reactivated in H1, an artificial fracture network was formed in H2, and both pre-existing faults and artificial fractures were reactivated in H3.The fracturing effect is mainly affected by natural fractures and the relationship between natural fractures and wellbore occurrence.The analysis of fracturing results for the three wells indicates that H2 had the best fracturing effect, H3 had a medium effect, and H1 had the worse effect.Finally, geological models based on four key driver factors, total gas content, porosity, brittleness index and fracture density, are built using a neural network to obtain the production capacity of shale reservoirs.The trend of the obtained production capacity data is coincident with H1's productive logging data.By integrating that result with the microseismic fracturing monitoring data, the predicted production capacity of the shale reservoir in H2 could be twice that of H3;the actual result is 2.3 times that of H3.The resulting production capacity profiles of the shale reservoir can be used to optimize well deployment, horizontal well track design, hydraulic fracturing geometry layout, and improve well completion programs.