Fine Interpretation And Reservoir Prediction Of Shallow Tectonics In The South Of Jiangqiao Area,Northern Songliao Basin

The regional tectonic location of the South of Jiangqiao area is located on the western slopes of the northern part of the Songliao Basin.The understanding of oil and gas in the early stage is mainly concentrated in the middle and deep layers,and its shallow structure and reservoir is not well understood.In order to speed up oil and gas exploration and development and expand the field of oil and gas exploration,this paper focuses on tectonic interpretation and reservoir prediction,and analyzes its structural features,shape and trap characteristics.The favorable method is used to predict the reservoir,so as to lay a solid foundation for the next oil and gas exploration and development.The structure of the study area is simple,and the whole is the slope structure of the west and east.In this paper,three-dimensional seismic data are used to explain the fine structure,and the structural features of the area are implemented.After studying the tectonic movement,a large area fault is formed,which is characterized by multi-stage activity,the early control basin,the late thrust reversal along the east side of the fault to form the north-south strip-like fold belt,and in the shallow formation of inherited development of the anticline structure traps.The other faults are characterized by a small scale of development,a short transverse extension length,a north-south fault in the middle fault and a north-northeast fault in the northeast.The reservoir thickness is uneven and the thickness is interbed.Based on the logging data,this paper sets up the comparison chart of the seismic shocks in each layer,divides the shallow area into 16 basic prediction units,and uses the geostatistics inversion method to carry out the reservoir inversion lithology prediction.The study shows that the shallow sandstone development in the study area is favorable,especially in K2n3.Finally,integrated the tectonic and reservoirs conditions,favorable zones for favorable benefit evaluation are selected.