基于导数迭代法的重力归一化总梯度

针对传统重力归一化总梯度方法对油气藏分辨率不够和深度计算精度较低的问题,本文利用导数迭代法的向下延拓结果,计算重力归一化总梯度。将传统方法和本文方法同时用于模型试验,分析谐波数N、埋深和充满系数对G~H场特征的影响。结果表明,相比于传统方法,本文方法受谐波数N的影响较弱,G~H场对油气藏的分辨率更高,反演的油气藏深度更加准确。通过实际应用,证实了本文方法的有效性。

Normalized full gradient of gravity based on derivative-iteration method

Aiming at solving the problem of low resolution and precision for the detection of oil reservoirs by normalized full gradient of gravity, the authors use downward continuation of the derivative iterative method to calculate normalized full gradient of gravity. The Fourier transform and this method are both used in the model tests. The influence of harmonic number N, depth and fullness coefficient on GH field are analyzed. The results show that compared with Fourier transform, this method is less affected by the influence from harmonic number N, and the resolution of GH field to reservoirs is higher and the inversed depth is more accurate. The validity of the method is verified by practical application.