In order to research the basement structure of Binbei area in Songliao Basin, various integrated geophysical meLhods for classification of fracture framework, prediction of matrix lithology and inversion of basement depth in early exploration and evaluation of deep-layer of Binbei area are discussed , and the application efFects of gravitymagnetic-seismic joint inversion are analyzed. Faulting anomaly in different depth can be reflected from gravity anomaly and magnetic anomaly using gravity stripping technology and multiscale wavelet decomposition respectively,and the composite processing to the faulting anomaly by sub-domain filtering combined with horizontal gradient vector modulus is effective to classify the faulting. A preferred plan for basement lithology prediction is concluded using apparent density, relative magnetic susceptibility and its correlaiion coefficient, combined with neural network.During the research of hasement depth by gravity-seismic stripping and interactive interpretation technology, high accuracy of seismic data is fully taken advantage of to reflect the interface of shallow layer or reflect the geologic body, which provides accurate inversion parameters for interactive simulation, reduces the ambiguity of potential field inversion, and makes the explanation results more credible.%为了研究松辽盆地滨北地区基底结构,探讨了在深部断裂格架划分、基底岩性预测、基底深度反演等早期勘探评价中应用的综合物探技术及重磁震联合解释的应用效果.指出对重磁异常分别应用重力剥皮技术和小波多尺度分解可得到反映不同深度断裂的异常,对其进行小子域、水平梯度矢量模组合处理是划分断裂的有效手段;总结出应用视密度、相对磁化率及其相关系数结合神经网络进行基岩岩性预测的最佳方案;在采用重力一地震剥离法和人机交互模拟反演解释技术研究基底深度时,充分利用了地震法反映浅层界面或地质体精度较高的优势,为人机交互模拟提供了准确的反演参数,进而减少了位场反演的多解性,其解释结果更加可靠.
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