At present, accurate prediction of high brittleness regions is an important issue in the development of shale gas field. Elastic impedance inversion works as an effective technology to estimate elastic parameters of subsurface media to guide the identification of reservoir characteristics. In this study, an improved elastic impedance inversion is proposed to establish a workflow for brittleness prediction on shale gas field. Based on previous research results, an expanded elastic impedance equation is derived from reflection approximation and established relationship between brittleness sensitive parameter Eρ with elastic impedance. After that we advance a workflow for target parameter extraction based on Bayesian theory. Then the novel elastic impedance equation is accepted the accuracy test and verified the reliability. Finally, the workflow is utilized to implement the applicability on shale gas field data of Sichuan Basin, which runs well even on the influence of the SNR=3. and the Eρ section also shows that it is coinciding with the well logging curves in the destination layer.


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