Seismic Reservoir Prediction Technique: A Case Study From Xingxi Area Of The Songliao Basin (NE China)

Songliao basin is a sand shale thin interbedded continental basin sediments,Putaohua reservoir and Fuyu reservoir in Songliao basin is a shallow oil and gas mainreservoir. Putaohua reservoir in the delta front subfacies, channel sand body thicknessless than5m; Fuyu oil layer in river facies deposition, channel sandbody thickness lessthan5m. Using conventional attribute analysis technology in the area of fine sand bodyrecognition difficulty. Especially in Fuyu river reservoir, swing frequency, lateralmigration, the river intersect, overlap, and are deeply buried, T2layer video rate is50-60Hz, the longitudinal resolution is low, resulting in an in-phase axis containsmultiple channel information, therefore, Fuyu fluvial sand body recognition moredifficult.With the attribute analysis technology has been rapid development in the reservoirprediction, played a major role, also formed a set of effective reservoir prediction method.But the post-stack data lack of offset distance, azimuth angle, angle gather data, is amultichannel data stack result, reservoir prediction accuracy will be affected, but prestackseismic data can make up the defects mentioned above, from the various data informationfor comprehensive analysis, which can precisely to the channel sand body description andrecognition. Prestack seismic data inversion is based on prestack seismic data processing,from pre-stack seismic data in different azimuth angle, offset and angle gather dataprocessing, processing of AVO attribute data body, application of AVO attribute datainversion and wave impedance, Poisson’s ratio, lame constant and the shear modulus.These parameters reflect well the underground lithology variation, and then realize thereservoir and the reservoir fluid accurately describe whether.Reservoirs is the study of the reservoir containing the fluid properties and itsdistribution. Reservoir fluid recognition is seismic reservoir prediction difficult task, onlythrough a variety of information cluster and comprehensive analysis to predict oil and gaswater distribution, this article through the fine implementation of the study area of oil andgas reservoir distribution, using pre-stack elastic inversion technique, grape flower oil reservoir prediction and oil-gas analysis research. Based on the drilling rock physicalmodeling, summarizes the suitable for the area of the rock physical model, and theapplication of this model in the district has drilling estimation for transverse wave, rockphysics analysis, identify and oil and gas related elastic parameters, the application offluid factor and Poisson’s ratio of reflectivity properties and elastic parameters of VP/VSin the study area oil gas distribution forecast, obtained better result.In this thesis, apricot west area as the study area, further refined the implement inthe research area of oil and gas reservoir distribution, while the post stack time migrationand prestack time migration with different properties were analyzed, in order to obtainthe seismic attributes in fine reservoir description in the best effect. Through comparisonand analysis, the final using prestack inversion technology, of Putaohua reservoir, Fuyureservoir prediction and oil-gas analysis research.