重力数据处理中几种断裂构造识别方法的组合应用

为了提高使用重力数据推断断裂构造的有效性，先以"田"字形小子域滤波法突出重力梯级带异常，再分别联合水平总梯度模、解析信号振幅及水平方向导数进行二次处理.通过理论模型试验，比较单方法及不同组合方法的处理效果，并将组合方法应用到金羊盆地实测重力数据的处理中，推断研究区的断裂构造格架.与地震剖面划分的断裂进行比对，证明了利用组合方法划分断裂构造的有效性.研究结果表明，已有断裂构造识别方法的组合应用能够更清晰地刻画地质体的边界，在应用重力数据推断断裂构造方面具有非常好的实用性.

COMBINED APPLICATION OF SEVERAL METHODS FOR FAULT STRUCTURE IDENTIFICATION IN GRAVITY DATA PROCESSING

To improve the effect of gravity data to infer fault structures, the gridding small domain filtering method is used to highlight the anomaly of gravity gradient zone first, then the horizontal total gradient modulus, analytic signal amplitude and horizontal direction derivative are combined respectively to carry out the secondary processing. Through theoretical model tests, the processing result of single method is compared with that of different combination methods. The combination methods are applied in the measured gravity data processing of Jinyang Basin to infer the fault structure framework in the study area. Comparison of the faults with those determined by seismic section proves the effectiveness of the combined methods in division of fault structures. The results show that the combined application of existing fault structure identification methods can clearly delineate the boundary of geological bodies, and is particularly practical in gravity data processing.