In order to solve the difficulties in prediction of high-quality reservoirs in low-permeability V Oil Formation of E

s

3

sub member in Block A

the residual velocity analysis

flattening and denoising of prestack gather data are carried out to improve the quality of data. Subsequently

well logging formation evaluation

petrophysical modeling and elastic curve forward modeling are carried out

lithology and physical property sensitive parameters are optimized

and it is clear that

the combined application of two elastic parameters of speed ratio of P and S waves（

V

p

/

V

s

） and vertical wave impedance（

C

PIMP

） could identify high-quality reservoirs. Then

the prestack inversion data preparation

facies control scheme design

well free simulation constant variation and variable range optimization are carried out

and a set of comprehensive prediction method for high-quality reservoirs in low-permeability reservoirs based on facies controlled pre stack geostatistics inversion is established. The inversion results obtained by this method not only improve the accuracy of reservoir prediction

but also are more in line with the geological law. The prediction results can effectively reflect the distribution of high-quality reservoirs in low-permeability reservoirs. Two horizontal wells have been deployed and good application results have been achieved.