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3D inversion of gravity data by separation of sources and the method of local corrections: Kolarovo gravity high case study

机译:通过源分离和局部校正方法对重力数据进行3D反演:Kolarovo重力高例研究

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摘要

We present a novel methodology for 3D gravity/magnetic data inversion. It combines two algorithms for preliminary separation of sources and an original approach to 3D inverse problem solution. The first algorithm is designed to separate sources in depth and to remove the shallow ones. It is based on subsequent upward and downward data continuation. For separation in the lateral sense, we approximate the given observed data by the field of several 3D line segments. For potential field data inversion we apply a new method of local corrections. The method is efficient and does not require trial-and-error forward modeling. It allows retrieving unknown 3D geometry of anomalous objects in terms of restricted bodies of arbitrary shape and contact surfaces. For restricted objects, we apply new integral equations of gravity and magnetic inverse problems. All steps of our methodology are demonstrated on the Kolarovo gravity anomaly in the Danube Basin of Slovakia.
机译:我们提出了一种3D重力/磁数据反演的新颖方法。它结合了两种用于源的初步分离的算法和3D逆问题解决方案的原始方法。第一种算法设计为在深度上分离源并去除浅源。它基于后续的向上和向下数据连续性。对于横向分离,我们通过几个3D线段的场来近似给定的观测数据。对于潜在的现场数据反演,我们应用了一种新的局部校正方法。该方法是有效的,并且不需要反复试验正向建模。它允许根据任意形状和接触表面的受约束物体来检索异常对象的未知3D几何形状。对于受限物体,我们应用了重力和磁逆问题的新积分方程。我们的方法的所有步骤都在斯洛伐克多瑙河盆地的Kolarovo重力异常中得到了证明。

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