基于SVD分析和重力异常模拟的北巽他盆地地下地质解释

H. Nurfaidah, I. Setiadi, M. Sarkowi, O. Dewanto
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引用次数: 0

摘要

巽他阿斯里盆地以正断层为主,挤压构造较少。该盆地由几个厚度达6000米的沉积中心组成。在地球物理方法中,重力分析已被证明是确定基岩构造和识别沉积盆地的有效方法。利用多项式滤波的趋势面分析方法,分析了沉积次盆地格局、基底高度构造、断层和基岩配置。对多项式滤波器的分析表明,对10阶异常的处理效果最优。0.990925的高相关值为10级异常提供了定性解释的适宜性。光谱分析结果表明,巽他阿斯里盆地的平均基岩深度约为2.75公里。进一步分析表明,该区存在14种沉积次盆地模式。重力模拟结果表明,上层密度值为2.37 g/cc,为更新世第三系沉积物。第二层为第三纪—中新世沉积岩,密度为2.28 g/cc;第三层为前第三纪沉积岩,密度为2.02 g/cc。模型底层为变质基岩,密度为2.7 g/cc。SVD(二次垂直导数)分析成功地识别了正断层和逆冲断层的存在
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SUBSURFACE GEOLOGICAL INTERPRETATION OF THE NORTH SUNDA ASRI BASIN BASED ON SVD ANALYSIS AND GRAVITY ANOMALY MODELING
The Sunda Asri Basin is dominated by normal faults and has little compressional structure. This basin consists of several depocenters with a thickness of up to 6000 m. Among the geophysical methods, gravity analysis has proven to be effective in determining the bedrock configuration and identifying sedimentary basins. This study aims to analyze sedimentary sub-basin patterns, basement height structures, faults, and bedrock configuration using trend surface analysis of polynomial filters. The analysis of polynomial filter show that a 10th-order anomaly yields optimal results. The high correlation value of 0.990925 provides the suitability of a 10th-order anomaly for qualitative interpretation. Spectral analysis results indicate an average bedrock depth of about 2.75 km within the Sunda Asri Basin. Furthermore, this analysis reveals the presence of 14 sedimentary sub-basin patterns in this area. The gravity modeling results indicate that the top layer has a density value of 2.37 g/cc, which interpreted as Pleistocene Tertiary sediment. The second layer consists of Tertiary-Miocene sediment with a density value of 2.28 g/cc, while the third layer comprises of Pre-Tertiary sedimentary rock at a density of 2.02 g /cc. The bottom layer of the model corresponds to metamorphic bedrock with a density 2.7 g/cc. SVD (Second Vertical Derivative) analysis successfully identified the presence of normal and thrust fault structures
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