基于叠后地震资料方位振幅变化率差异的裂缝预测技术OA

Fractures serve as important seepage channels and storage spaces for hydrocarbon reservoirs.Therefore,the precise predic-tion of their distribution characteristics(density and orientation)holds critical significance for hydrocarbon exploration and development.However,existing fracture prediction methods using post-stack seismic data(such as coherence and curvature)cannot effectively extract azimuthal differences,thus failing to meet the demand for high-precision fracture prediction.Given this,this paper proposed a fracture prediction method by performing ellipse fitting on azimuthal attribute differences of post-stack seismic data.Specifically,the original da-ta were optimized using structure-oriented filtering,from which three or more characteristic azimuth angles were further selected to ex-tract azimuthal attributes.Then,the extracted attributes were analyzed using ellipse fitting to quantify attribute anisotropy.Ultimately,the fracture density and orientation were inverted using ellipse parameters(the ellipticity and major/minor axis directions).The practical ap-plication of this method in an oil field demonstrates a high coincidence between the predicted fracture density and direction and the actu-al drilling data,achieving superior accuracy compared to conventional fracture prediction methods.This method provides a high-preci-sion fracture prediction solution for areas lacking wide-azimuth pre-stack seismic data.