Application Of Reservoir Fracture Identification Technology Base On GST Algorithm In A Certain Shale Gas Area

Among the many types of reservoirs, shale gas is a revolutionary new type of unconventional energy, shale gas exploration in recent years for the study of more and more, which is shale gas exploration fracture identification of key and difficulty. This paper focuses on the key and difficult points of shale gas exploration, and applied the recognition technology based on the gradient structure tensor algorithm.Crack is the subtle geological characters of seismic data, gradient structure tensor(GST) algorithm can better identify the fine character, this paper applied the a set based on the gradient structure tensor(GST) of shale gas reservoir layer crack fine recognition technology; The curvature attribute is sensitive to the information of crack, bend, fold, fault and so on.In fracture identification theory based, based on Windows environment, with VC + + realized based on GST algorithm of shale gas reservoir layer crack fine recognition technology. The technology includes three software modules, respectively is GST dip and azimuth module, GST coherent module, GST curvature module. The three modules can be used alone, can also be used in combination. These modules can complete the automatic extraction of the 3D data volume without manual intervention, and the results can be used as the input conditions of other attributes, so that it can be used for a number of analysis.The application of fine crack identification based on GST to a shale gas area, were obtained in the area range angle crack angle and curvature attribute attribute, coherent attribute. Compare the properties at the same time with the traditional method for crack identification achieved three GST seismic attribute the work area of the crack recognition effect is analyzed. Results showed that GST algorithm in reservoir fracture identification can effectively identify fractures and microfractures, effect is better than the traditional method for crack identification, and achieved good effects of crack recognition, to achieve the purpose of fine fracture identification.