APPLICATION OF STATISTICS-BASED SEISMIC STOCHASTIC INVERSION TO RESERVOIR PREDICTION——IN CASE OF RESERVOIR PREDICTION OF JIALINGJIANG FORMATION IN SOUTH SICHUAN

The popular methods of seismic inversion are difficult to accurately predict reservoir with little drilling data during Early exploration and development.For example,the resolution of recursive inversion is low,also the results of model-based inversion and random simulation inversion are low reliable.Well data is used to constrain the process of inversion to increase the inversion resolution in statistics-based seismic stochastic inversion.In the same time,the random characters of subsurface geology are fully considered,which made the inversion results more consistent with practical geological scenario.The application of probability density function of well data can help to solve the problem of low reliability of variation function when the data is inadequate and uneven.In addition,the method also precisely predicts the distribution of low-velocity anomaly area.The satisfying result in reservoir prediction of Jialingjiang formation indicates that this method can get a good effect when popular post-stack inversion can not precisely predict thin reservoir without enough drilling information during the early exploration.