When S/N is smaller than 5, the dependence of reservoir sandstone thickness on seismic reflection features and seismic attributes becomes slight, and noise can generate interference to forecast result, thus affecting reservoir forecast precision.
To overcome the problem of existing reservoir prediction using seismic data,we developed the technology for nonlinear inversion and prediction of reservoir, which issuccessfully used in 3D seismic inversion and reservoir prediction for Darqi structure inBaiyunchagan depression and gives an accurate approach of submitting controlled reservesand selecting favorable targets for this area . ?
On the basis of seismic and well drilling data, the deposits in the area were studied by using sequence stratigraphy and reservoir prediction techniques.
The targets would be studied in terms of sequence analysis, cycling analysis, reservoir prediction and quantitative description of targets by integrating geological, logging and drilling data.
Quantitative interpretation of the thin bed thickness is essential to thin bed structure interpretation, reservoir description, and lateral reservoir prediction.
This behavior is the result of thorough reorganization of porosity during diagenesis, and it turns prediction of reservoir quality of carbonate rocks into a challenge.