部分区域约束下的交叉梯度多重地球物理数据联合反演

交叉梯度联合反演方法通过对多种地球物理模型实现结构耦合，在岩石物性关系不确定的情况下，既能提高反演结果的可靠性，又能减少反演的多解性，还能减少不同方法解释结果之间的矛盾.当不同的模型观测数据覆盖范围不一致时，交叉梯度联合反演通常需要取出重叠区域数据进行联合反演，并且建模时还要扩展一些模型范围.本文首先提出并实现了部分区域约束下的交叉梯度多重地球物理数据联合反演算法；接着进行了算法的模型试算；最后，我们将该反演算法用于本溪-集安深部地质调查重磁电综合地质地球物理解释中.结果表明：该算法不但能在重叠区域内很好地恢复结构相似的模型，而且在非重叠区域与重叠区域的边界处仍然可以得到平滑变化的模型；在本溪-集安10号剖面所获得的结构上相似的电阻率、密度及磁化率模型较好地反映了该区的深部地质结构，对于确定深部地质体的性质提供了有力的证据.

Multiple joint inversion of geophysical data with sub-region crossgradient constraints

Crossgradient joint inversions, achieving structure coupling of multiple geophysical models, improve the reliability of inversion results, reduce the uncertainty of inversions, and reduce conflicts between results of different methods, in the case of unknown petrophysical relationships. When coverage of different observations is inconsistent, the crossgradient joint inversion usually need extract data corresponding to the overlapped region, and also expands the scope of some models. This paper proposed and implemented a multiple joint inversion of geophysical data with sub-region crossgradient constraints and followed by a synthetic model example. We have applied this method to comprehensive geological and geophysical interpretation of MT, gravity and magnetic field data sets for deep geological survey of Benxi-Ji'an. The results show that this algorithm not only can well restore similar structure model in the overlapped region, but the model parameters are varied smoothly on the boundary between overlapped and non-overlapped regions. The resistivity, density and susceptibility models, obtained from the joint inversion of Benxi-Ji'an survey line No.10, are very similar in their structures, well reflect the deep geological structure of this area, and provide strong evidences to determine the nature of deep geological bodies.