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Inversion of satellite gravimetric data from Rec?ncavo-Tucano-Jatobá Basin System

机译:来自REC的卫星重量数据的反演来自rec?ncavo-tucano-jatobá盆地系统

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Density differences among subsurface rocks cause variations in the gravitational field of Earth, which is known as gravity anomaly. Interpretation of these gravity anomalies allows assessment of the probable depth and shape of the causative body. For several decades, gravity data were acquired on the surface, but after the scientific and technological advances of the last decades, geopotential models were developed, including gravitational observations on a global scale through space satellite missions. This paper investigated the Moho structure in the region of Rec?ncavo-Tucano-Jatobá rift-basin system based on the information of the terrestrial gravity field from the EIGEN-6C4 geopotential model. The frequency domain inversion technique was applied, which is known as the Parker-Oldenburg iterative method. Bouguer anomaly data were used in the inversion procedure to determine the thickness and geometry of the crust in the region. Data inversion considered a two-layer model with constant density contrast, in which the entire signal was related to Moho topography. In addition, data inversion was carried out to determine the basement depths. The program proved to be efficient and able to manage large data sets. The results, both of the crust thickness and the sedimentary package, validated the geodynamic evolution understanding of the basin system.
机译:地下岩石中的密度差异导致地球的引力场的变化,这被称为重力异常。对这些重力异常的解释允许评估致病体的可能深度和形状。几十年来,在表面上获得了重力数据,但在过去几十年的科技进步之后,正在开发地理位议模型,包括通过太空卫星任务的全球规模的引力观测。本文研究了REC?NCavo-Tucano-Jatobá裂解流程系统的Moho结构,基于来自EIGEN-6C4地理位能模型的地面重力场的信息。应用频域反转技术,称为帕克 - 尚堡迭代方法。 Bouguer异常数据用于反转过程中,以确定该区域外壳的厚度和几何形状。数据反转被认为是具有恒定密度对比的双层模型,其中整个信号与Moho地形有关。此外,进行数据反演以确定基底深度。该程序证明是有效且能够管理大数据集。结果,既有地壳厚度和沉积包,验证了对盆地系统的地磁演进理解。

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