The Seismic Reservoir Prediction In Leikoupo Formation Of MX Structure In Central Sichuan Area

The MX Structure is located on the east end of Leshan-Longnvsi paleo-uplift axis in the middle of Sichuan basin.The western segment is located on the buried structure due to the formation of fold.South Tongnan Syncline.The overall trend is that the southern structure is higher than the north.This main reservoir research area is Lei1 sub-segment in the Leikoupo formation which stores rich gas reservoirs.The reservoir type is porosity reservoir.In the overall performance of the characteristics of reservoirs are mesoporous,low permeability,Poor fracture development,thin reservoir layer.shale content is not uniform.The wave impedance interface is not obvious.Fine reservoir interpretation is difficult.In order to further understand the change and structure type and fault distribution of Lei1 sub-segment.This research used Well logging,geology,seismic data to explain the 3D seismic data and calibrate geological horizon and analyze the wave group characters in this area.Because the seismic resolution is limited and reservoir is predicated accurately by a single method.So this paper studied on the method of reservoir prediction.Choose the velocity inversion of seismic inversion,gamma inversion,porosity inversion to predict the reservoir quantitatively.This paper chosen seismic attribute analysis to predict reservoir finely too.Finally provided the basis of development for further exploration of this area.The results of reservoir prediction are shown: In velocity inversion,porosity inversion results,reservoir characterized by a relatively slow speed,well by the inversion results are in good and sound wave curve alignment characteristics consistent,high vertical resolution,The relationship between the level of anastomosis near wells and well logging curve inversion,but also indicate the lateral changes of reservoir physical property characteristics,The inversion results is reliable,Quantitative predictions can be alternated property acteristics of reservoir,guidance for reservoir prediction.At the same time,using the method of seismic attribute analysis for the fluid identification,optimizing the neural network pattern recognition method to predict gas water distribution characteristics,good gas enrichment region prediction results are obtained.