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常规欧拉反褶积法中构造指数的选取以及分散解存在较多的问题,提出了基于联立垂向一阶导数与解析信号的欧拉齐次方程的RDAS-Euler反演方法。该方法可以更为精确的估计场源的范围及埋深,且不需考虑构造指数N的影响,避免了因构造指数不当而引起的反演误差。通过对单一地质体及组合地质体模型的实验证明本文方法能有效地完成目标体的反演工作,反演结果与理论值之间的误差小于10%,且相对于常规欧拉反褶积法更加稳定准确,能够更好的得到地质体边界及深度信息。将RDAS-Euler法应用于黑龙江省虎林盆地实测布格重力异常数据,获得了丰富的断裂信息,说明RDASEuler法增强了对断裂平面位置的识别能力。
In the conventional Euler deconvolution method, there are many problems in the selection and dispersion of the structure index, and the RDAS-Euler inversion method based on the Euclidean equation of simultaneous vertical first derivative and analytic signal is proposed. This method can estimate the range and depth of field source more accurately without considering the influence of tectonic index N and avoid the inversion error caused by improper structure index. Experiments on a single geologic body and a combined geologic body model show that the proposed method can effectively accomplish the inversion of the target body and the error between the inversion result and the theoretical value is less than 10%. Compared with the conventional Euler deconvolution More stable and accurate, better able to get the geological body boundary and depth information. The RDAS-Euler method was applied to the measured Bouguer gravity anomaly data of Hulin basin in Heilongjiang province, and abundant fault information was obtained. It shows that the RDASEuler method enhances the recognition of fracture plane position.