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Two dimensional cross-gradient joint inversion of gravity and magnetic data sets constrained by airborne electromagnetic resistivity in the Capricorn Orogen, Western Australia

机译:西澳大利亚州摩ri座造山带的二维电磁场重力和磁交叉交叉反演约束

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摘要

In many geological scenarios, the interpretation of multiple geophysical datasets through the use of joint inversion has become a common practice provided all data share compatible spatial resolution. Unfortunately, this requirement has also limited the application of airborne electromagnetic (AEM) data in joint inversion. For instance, we commonly assume that airborne gravity and magnetic datasets largely originate at a depth of a few kilometres, whereas co-located AEM signals can only penetrate a few hundred metres, thus rendering spatially incompatible datasets. We believe, however, that a fraction of these datasets originate from the same structures and provide a common ground for structural joint inversion strategies. We aim to explore the viability of jointly inverting such datasets using potential and AEM field data acquired in Western Australia with three comparative experiments. First, we generate conventional 2D separated models for each dataset to gauge their individual resolution capability. We then perform the 2D cross-gradient joint inversion of gravity and magnetic datasets. Finally, we adapt the structural joint inversion to include the AEM resistivity model as a constraint. We show that there is an area commonly sensed by the three datasets and that the coupled resolution influences both shallow and deep structures of the joint models. This yields a coherent integrated interpretation of shallow and deep structures of the studied section, which is validated when compared to a nearby seismic traverse section.
机译:在许多地质场景中,如果所有数据共享兼容的空间分辨率,则通过使用联合反演来解释多个地球物理数据集已成为一种惯例。不幸的是,这一要求也限制了机载电磁(AEM)数据在联合反演中的应用。例如,我们通常假设机载重力和磁数据集主要起源于几公里的深度,而同位的AEM信号只能穿透几百米,从而呈现空间不兼容的数据集。但是,我们认为,这些数据集的一部分来自相同的结构,并为结构联合反演策略提供了共同点。我们的目的是通过三个对比实验,利用在西澳大利亚州获得的潜力和AEM野外数据,探索联合反转此类数据集的可行性。首先,我们为每个数据集生成常规的2D分离模型,以衡量其单独的分辨率能力。然后,我们执行重力和磁性数据集的2D跨梯度联合反演。最后,我们将结构联合反演调整为包括AEM电阻率模型作为约束条件。我们表明,这三个数据集通常会感知到一个区域,并且耦合分辨率会影响联合模型的浅层结构和深层结构。这样就可以对研究区域的浅层和深层结构进行连贯的综合解释,与附近的地震横断面相比,这一点得到了验证。

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