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3D Subsurface Characterization of Banded Iron Formation Mineralization using Large-Scale Gravity Data: A Case Study in Parts of Bharatpur, Dausa and Karauli Districts of Rajasthan, India
Natural Resources Research ( IF 4.8 ) Pub Date : 2021-06-12 , DOI: 10.1007/s11053-021-09880-y
Saudamini Sahoo , Anand Singh , Santu Biswas , S. P. Sharma

Our study interprets large-scale gravity data to delineate concealed banded iron formation (BIF) iron mineralization in India's Rajasthan province. The study area belongs to the Bharatpur, Dausa, and Karauli districts of Rajasthan. We measured 1462 gravity readings to understand the rock types, depth and geometry of the different rock formations in the proposed study area. We also collected representative lithologies from more than 100 locations in the study area and calculated their density values. The measured gravity datasets are investigated via qualitative (e.g., Bouguer anomaly, first derivative and second derivative) and quantitative (radially averaged power spectrum, 3D Euler deconvolution, and 3D inversion) approach. The qualitative methods suggest a general NE–SW orientation of the BIFs, controlled by the general trend of the study area's structural setting. The lithological contact between the Bhilwara and Vindhyan Supergroups is demarcated by a NE–SW trending steep gravity gradient zone. In this area, representative lithologies yield high densities (about 3.746 gm/cc), and the samples identified as BIF represent exploration targets for iron ore. We have also developed our own in-house 3D gravity inversion code in this study. A model space inversion algorithm is converted into a data space using the identity relationship. It makes inversion algorithm very user-friendly on conventional desktop computers. The outcomes from the 3D inversion suggest that the concealed iron ore thickens to the west. This interpretation is also in good correlation with Euler 3D deconvolution of the gravity data.



中文翻译:

使用大规模重力数据对带状铁层矿化进行 3D 地下表征:印度拉贾斯坦邦 Bharatpur、Dausa 和 Karauli 地区部分地区的案例研究

我们的研究解释了大规模重力数据,以描绘印度拉贾斯坦邦的隐蔽带状铁矿化 (BIF) 铁矿化。研究区属于拉贾斯坦邦的 Bharatpur、Dausa 和 Karauli 地区。我们测量了 1462 个重力读数,以了解拟议研究区域内不同岩层的岩石类型、深度和几何形状。我们还从研究区的 100 多个地点收集了具有代表性的岩性并计算了它们的密度值。通过定性(例如,布格异常、一阶导数和二阶导数)和定量(径向平均功率谱、3D 欧拉解卷积和 3D 反演)方法研究测量的重力数据集。定性方法表明 BIF 的一般 NE-SW 方向,受研究区构造背景的总体趋势控制。Bhilwara 和 Vindhyan 超群之间的岩性接触由一个 NE-SW 趋势的陡峭重力梯度带划定。在该地区,代表性岩性产生高密度(约 3.746 gm/cc),并且确定为 BIF 的样品代表铁矿石的勘探目标。在这项研究中,我们还开发了我们自己的内部 3D 重力反演代码。使用恒等关系将模型空间反转算法转换为数据空间。它使反演算法在传统台式计算机上非常用户友好。3D 反演的结果表明隐藏的铁矿石向西增厚。这种解释也与重力数据的欧拉 3D 反卷积有很好的相关性。Bhilwara 和 Vindhyan 超群之间的岩性接触由一个 NE-SW 趋势的陡峭重力梯度带划定。在该地区,代表性岩性产生高密度(约 3.746 gm/cc),并且确定为 BIF 的样品代表铁矿石的勘探目标。在这项研究中,我们还开发了我们自己的内部 3D 重力反演代码。使用恒等关系将模型空间反转算法转换为数据空间。它使反演算法在传统台式计算机上非常用户友好。3D 反演的结果表明隐藏的铁矿石向西增厚。这种解释也与重力数据的欧拉 3D 反卷积有很好的相关性。Bhilwara 和 Vindhyan 超群之间的岩性接触由一个 NE-SW 趋势的陡峭重力梯度带划定。在该地区,代表性岩性产生高密度(约 3.746 gm/cc),并且确定为 BIF 的样品代表铁矿石的勘探目标。在这项研究中,我们还开发了我们自己的内部 3D 重力反演代码。使用恒等关系将模型空间反转算法转换为数据空间。它使反演算法在传统台式计算机上非常用户友好。3D 反演的结果表明隐藏的铁矿石向西增厚。这种解释也与重力数据的欧拉 3D 反卷积有很好的相关性。

更新日期:2021-06-13
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