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H.M. Ramachandra (1954-2024) - A Gem of a Geologist and a Perfect Gentleman 拉马钱德拉(1954-2024 年)--地质学家的瑰宝和完美的绅士
IF 1.3 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2024-06-01 DOI: 10.17491/jgsi/2024/173924
N.R. Ramesh
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引用次数: 0
High-resolution Oxygen and Carbon Isotopic Records of a Modern and a Fossil Coral from the Lakshadweep Archipelago 拉克沙德韦普群岛一种现代珊瑚和一种化石珊瑚的高分辨率氧和碳同位素记录
IF 1.3 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2024-06-01 DOI: 10.17491/jgsi/2024/173910
S. K. Beja, Waseem Raza, S. M. Ahmad, Shakeel Ahmed, B. Banerjee
We report here δ18O and δ13C records of a modern Porites and a fossil Favia coral from the Lakshadweep Island to decipher seasonal changes in seawater characteristics. The modern coral was obtained by underwater drilling of a live Porites colony of Kavaratti Island, whereas fossil Favia coral was collected from a nearby location of the same island. Our interpretation is mainly based on high-precision isotopic measurements of 378 samples. The skeleton δ18O values of Porites coral, representing a period of 25 years (between 1984 and 2008 AD), vary between – 5.1‰ and – 4.37‰ vs VPDB, whereas δ18O values of a >400 yrs old fossil Favia coral exhibit significantly greater δ18O values, ranging from – 4.75 to – 3.39‰ vs VPDB. A plot of δ18O time series of modern Porites coral with the available sea surface temperature (SST) record of the study area exhibits an inverse relationship between coral δ18O and regional SST changes, suggesting temperature as the dominant factor for controlling δ18O in seasonal bands of corals. Seasonal variations in δ13C values in both the scleractinian corals were probably influenced mainly by variations in δ13C of dissolved inorganic carbon (DIC). However, carbon isotopic records also indicate the effects of biological (metabolic) processes on their δ13C. The greater seasonal amplitude recorded in δ18O and δ13C values of Favia coral than in Porites coral implies a marked difference in their metabolic processes.
我们在此报告了拉克沙德韦普岛(Lakshadweep Island)的一个现代Porites珊瑚和一个化石Favia珊瑚的δ18O和δ13C记录,以解读海水特征的季节性变化。现代珊瑚是通过水下钻探卡瓦拉蒂岛的一个活体 Porites 群落获得的,而 Favia 珊瑚化石则是从同一岛屿的附近地点采集的。我们的解释主要基于对 378 个样本的高精度同位素测量。代表 25 年期间(公元 1984 年至 2008 年)的 Porites 珊瑚骨架 δ18O 值与 VPDB 值的比值介于-5.1‰和-4.37‰之间,而年龄大于 400 年的 Favia 珊瑚化石的 δ18O 值明显更高,与 VPDB 值的比值介于-4.75‰和-3.39‰之间。将现代 Porites 珊瑚的 δ18O 时间序列与研究区域现有的海表温度(SST)记录绘制成图,显示珊瑚 δ18O 与区域 SST 变化之间存在反比关系,表明温度是控制珊瑚季节带中 δ18O 的主要因素。两种硬骨鱼类珊瑚的 δ13C 值的季节性变化可能主要受溶解无机碳(DIC)δ13C 变化的影响。不过,碳同位素记录也显示了生物(代谢)过程对其 δ13C 的影响。Favia 珊瑚的 δ18O 和 δ13C 值比 Porites 珊瑚的 δ18O 和 δ13C 值的季节振幅更大,这意味着它们的新陈代谢过程存在明显差异。
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引用次数: 0
Report on the Training Course on Geospatial Technology for Natural Resources Management Sponsored by the Directorate of Environment & Climate Change (DoECC), Government of Kerala 喀拉拉邦政府环境与气候变化局 (DoECC) 赞助的自然资源管理地理空间技术培训班报告
IF 1.3 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2024-06-01 DOI: 10.17491/jgsi/2024/173921
Girish Gopinath, A. L. Achu, Rani Varghese
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引用次数: 0
Water Stress in Bengaluru, Silicon City 硅城班加罗尔的水资源压力
IF 1.3 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2024-06-01 DOI: 10.17491/jgsi/2024/173906
Subhajyoti Das
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引用次数: 0
Linear Model for Pore Pressure Predication in Gas Hydrate-bearing Sand Formation of Krishna-Godavari Basin (India) – A Case Study 印度克里希纳-戈达瓦里盆地含天然气水合物砂层孔隙压力预测线性模型 - 案例研究
IF 1.3 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2024-06-01 DOI: 10.17491/jgsi/2024/173909
Pradeep Kumar Yadav, Uma Shankar
Pore pressure is a crucial geomechanical parameter, to decide the mud density while well drilling. The mud weight should be between formation pressure (pore pressure) and the fracture gradient of the reservoir rock, otherwise various kind of unwanted incidents like, kicks, blowout, breakout, well collapse, mud loss and lost circulation can happen; which can increase the cost of drilling and in worst case it may lead to a dangerous accident and consequently loss of life and assets at drilling site. In this study we are trying to find pore pressure within water bearing shale formations and gas hydrate (solid) bearing sand formation of four wells of Area B in the Krishna-Godavari Basin, namely, NGHP-02-17A, 19A, 22A, and 23A. Bower’s sonic, Eaton’s resistivity and Eaton’s sonic empirical equations have been used to estimate effective stress in the water-bearing shale formation. In gas hydrate-bearing sand formations these empirical equations cannot be useful for effective stress or pore pressure estimation and hence a linear model based on pressure-core data, relating effective stress and depth in meter below seafloor (mbsf) is generated .This model is applicable for the effective stress estimation in gas hydrate bearing sand formations of the Krishna-Godavari basin. The effective stress estimated from linear model and from core data are found in good agreement in all the wells. At site NGHP-02-23, in-situ pore-pressure was measured between depth of 270.38 to 271.38 mbsf with the help of modular dynamic formation tester (MDT) tool. The in-situ pore pressure (28.2 MPa) and estimated pore pressure (27.8 MPa) from the linear model are found in good agreement. Further, fracture pressures from Matthew-Kelly and Eaton’s method were estimated. The mud weight base on the reported mud density 1.3g/cc are found to higher than the pore pressures and lower than the fracture pressures and hence fulfil the criteria for safe drilling.
孔隙压力是决定钻井泥浆密度的关键地质力学参数。泥浆重量应介于地层压力(孔隙压力)和储层岩石的裂缝梯度之间,否则会发生各种不必要的事故,如卡钻、井喷、破裂、井塌、泥浆流失和循环损失;这会增加钻井成本,最坏的情况可能会导致危险事故,进而造成钻井现场的生命和财产损失。在本研究中,我们试图发现克里希纳-戈达瓦里盆地 B 区四口井(即 NGHP-02-17A、19A、22A 和 23A)含水页岩层和含天然气水合物(固体)砂层中的孔隙压力。采用鲍尔声波、伊顿电阻率和伊顿声波经验方程估算含水页岩层的有效应力。在含天然气水合物的砂层中,这些经验方程无法用于估算有效应力或孔隙压力,因此根据压力岩心数据生成了一个线性模型,该模型将有效应力与海底下米深度(mbsf)联系起来。根据线性模型和岩心数据估算出的有效应力在所有油井中都非常吻合。在 NGHP-02-23 井场,利用模块化动态地层测试仪(MDT)工具测量了 270.38 至 271.38 mbsf 深度的原位孔隙压力。发现原位孔隙压力(28.2 兆帕)与线性模型估算的孔隙压力(27.8 兆帕)非常吻合。此外,还根据 Matthew-Kelly 和 Eaton 方法估算了压裂压力。根据报告的泥浆密度 1.3 克/立方厘米计算的泥浆重量高于孔隙压力,低于裂缝压力,因此符合安全钻井标准。
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引用次数: 0
Preliminary Meeting for Evolving a Comprehensive Database on Deccan Volcanic Province 建立德干火山省综合数据库预备会议
IF 1.3 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2024-06-01 DOI: 10.17491/jgsi/2024/173920
Vivek S Kale, P. Krishnamurthy, S.J. Sangode
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引用次数: 0
John Alfred Talent (1932 - 2024) 约翰-阿尔弗雷德-塔伦特(1932 - 2024)
IF 1.3 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2024-06-01 DOI: 10.17491/jgsi/2024/173925
Om N. Bhargava
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引用次数: 0
Estimation of Compression Index of Cohesive-Frictional Soil in Southwest Delhi District Using Statistical Correlations 利用统计相关性估算德里西南区粘性摩擦土壤的压缩指数
IF 1.3 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2024-06-01 DOI: 10.17491/jgsi/2024/173914
Shashwata Chatterjee, P. Sultana, Jayalekshmi S., Rohit Ralli
Oedometer tests for the determination of compression index are time-consuming and need to be meticulously performed. Hence, empirical equations need to be formulated to predict the value of the compression index. In the current study, regression models have been developed based on correlation studies for lightly overconsolidated cohesive-frictional soil obtained from a site in the Southwest Delhi district, India. Statistical analyses have been performed on 80 observations from consolidation tests conducted on the samples retrieved from 58 boreholes. Based on the correlation analyses, it is found that the existing empirical correlations estimate the compression index erroneously. So, formulating an empirical equation for the study area is important. The soil properties, such as natural water content and liquid limit, are unsuitable variables to predict the compression index. These findings are not consonant with those of previous research as these engage the mentioned parameters in modelling the compression index. The several univariate and multivariate regression equations developed in this study are tested for validation using the coefficient of determina ion. Among the several regression models examined, the logarithmic equation of the compression index contributes to accurate prediction.
用于测定压缩指数的压力计测试非常耗时,而且需要一丝不苟地进行。因此,需要制定经验方程来预测压缩指数值。在当前的研究中,根据对印度德里西南地区一处轻度过固结内聚摩擦土壤的相关性研究,建立了回归模型。对从 58 个钻孔中提取的样本进行的固结测试中的 80 项观测结果进行了统计分析。根据相关分析发现,现有的经验相关法对压缩指数的估算是错误的。因此,为研究区域制定一个经验方程非常重要。土壤性质,如天然含水量和液限,是预测压缩指数的不合适变量。这些研究结果与之前的研究结果并不一致,因为在模拟压缩指数时,这些参数都是被提及的。本研究中建立的几个单变量和多变量回归方程使用确定系数进行了验证测试。在研究的几个回归模型中,压缩指数的对数方程有助于准确预测。
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引用次数: 0
Deformation Mechanisms, Processes and Fabric Analysis in Earth Materials from the Global to the Nano scale – Methods and Applications– A Report of the IASGT Workshop-2024 held at IIT Kharagpur, India 从全球到纳米尺度地球材料的变形机制、过程和结构分析--方法与应用--在印度哈拉格浦尔理工学院举行的 2024 年国际地球物理学和天文学协会(IASGT)研讨会报告
IF 1.3 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2024-06-01 DOI: 10.17491/jgsi/2024/173922
C.S. Vishnu
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引用次数: 0
Geochronology and Isotope Geochemistry of Uranium Deposits of India 印度铀矿床的地质年代和同位素地球化学
IF 1.3 4区 地球科学 Q3 Earth and Planetary Sciences Pub Date : 2024-06-01 DOI: 10.17491/jgsi/2024/173923
U. Pandey
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引用次数: 0
期刊
Journal of the Geological Society of India
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