Using machine learning technology based on fuzzy neural network and geophysical data to predict the shale gas sweet spots: A case study of lower silurian longmaxi formation in Wy Block, Sichuan Basin

Compared with shale gas in north American, it is older, more mature, and significantly difference China. Taking the Longmaxi Formation of WY block Sichuan Basin as an example, quantitative prediction method sweet spots for high mature formed. Firstly, geophysical response characteristics reservoir studied, physical are determined. Then, distributions evaluation parameters, such total organic carbon, brittleness, others, obtained by pre-stack simultaneous inversion. Finally, fuzzy neural network carried out to predict distribution deploy wells. Shale this vertically concentrate within 30 m above bottom Formation. And two grades evaluated. The relationship between production results horizontal wells established Fuzzy method.