A Study On Reservoir Prediction Of PⅠoil Layer In G1 Block Of Puxi Oilfield

Along with the development of the oil and gas exploration, requirements of reservoir description accuracy is higher and higher. Well-Seismic Combination has been used in many oilfields as an important reservoir prediction method. Putaohua reservoir in G1 Block of Puxi Oilfieldmainly develop delta front subaqueous distributary channel sand body,which have thin sand, narrow channel, how to important reservoir prediction has become an indispensable technology of channel sand prediction. In view of the situation that the well pattern of the study area is sparse, the thin sand body is small, the channel width is narrow,the technique scheme of the combination of 3D seismic data and well logging data and reservoir prediction is established, which is based on the establishment of stratigraphic framework of the high resolution sequence, the study of sedimentary microfacies in PⅠoil layer is carried out. Consequently, reservoir prediction come true by utilizing the methods of geostatistical inversion to draw sedimentary facies. The purpose of this study is to improve the effectiveness of the Puxi oilfield exploitation and the relation between injection and production, and to improve the accuracy of the prediction of channel sandbodies.This paper first established high-resolution sequence framework, analysis the development characteristics of reservoir sedimentary microfacies and study the reservoir basic geological conditions such as channel width, sand thickness, vertical layer structure etc. Based on this, According to the practical data in the target area, while based on well logging constrained sparse pulse wave impedance inversion results and combined with geostatistical simulation technique, geostatistical inversion methods are employed, through optimizing inversion parameters, predicts the horizontal and vertical distributing disciplinarian of reservoir sandstone with high precision. Combined with the thickness of the well, the results of seismic attribute analysis are compared, and the reliability of results is good.On thebasis of the above, the distribution of channel sandbodies in the target area of PⅠoil layer is described, and the channel size of the target area is classified. In addition, the fine description of river boundary is performed by using seismic inversion plan.