Raman spectroscopy as an effective tool for high-resolution heavy-mineral analysis: Examples from major Himalayan and Alpine fluvio-deltaic systems

2009 ◽  
Vol 73 (3) ◽  
pp. 450-455 ◽  
Author(s):  
Sergio Andò ◽  
Danilo Bersani ◽  
Pietro Vignola ◽  
Eduardo Garzanti
Keyword(s):  
Raman Spectroscopy ◽  
High Resolution ◽  
Heavy Mineral ◽  
Mineral Analysis ◽  
Heavy Mineral Analysis

A Study of Identification Marks of Sequence Boundary of GaoTaizi Reservoir in Qijia Area

2014 ◽  
Vol 1073-1076 ◽  
pp. 2327-2330
Author(s):  
Xun Tao Yu ◽  
Yun Feng Zhang
Keyword(s):  
High Resolution ◽  
Shallow Lake ◽  
Songliao Basin ◽  
Heavy Mineral ◽  
The Other ◽  
Mineral Analysis ◽  
Delta Front ◽  
Deltaic Plain ◽  
Transition Surface ◽  
Heavy Mineral Analysis

According to the high resolution sequence stratigraphy’s theory[1] and the information of rock-mineral analysis, geophysics data, biological stratigraphy and geochemistry, this paper made a systematical and in-depth research on sequence boundary identification marks of Gaotaizi reservoir of Qijia area in songliao basin. We use core identification, logging curve, paleontology, heavy mineral analysis and seismic prospecting data to explain how to find the sequence boundary. And there are two types of boundary were recognised on G3,G4 oil layer group of Qijia area, which are used to be the basis to make G3,G4 into 5 parts, one is the transition surface of deltaic plain and shallow lake, the other is the top of ascending order of delta front.

scholarly journals Semi-Automated Heavy-Mineral Analysis by Raman Spectroscopy

Minerals ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 385 ◽  
Author(s):  
Lünsdorf ◽  
Kalies ◽  
Ahlers ◽  
Dunkl ◽  
von Eynatten
Keyword(s):  
Raman Spectroscopy ◽  
Lower Triassic ◽  
Heavy Mineral ◽  
Heavy Minerals ◽  
Mineral Analysis ◽  
Sedimentary Provenance ◽  
Precise Tool ◽  
Mineral Data ◽  
Heavy Mineral Analysis ◽  
Spatial Referencing

A significant amount of information on sedimentary provenance is encoded in the heavy minerals of a sediment or sedimentary rock. This information is commonly assessed by optically determining the heavy-mineral assemblage, potentially followed by geochemical and/or geochronological analysis of specific heavy minerals. The proposed method of semi-automated heavy-mineral analysis by Raman spectroscopy (Raman-HMA) aims to combine the objective mineral identification capabilities of Raman spectroscopy with high-resolution geochemical techniques applied to single grains. The Raman-HMA method is an efficient and precise tool that significantly improves the comparability of heavy-mineral data with respect to both overall assemblages and individual compositions within solid solution series. Furthermore, the efficiency of subsequent analysis is increased due to identification and spatial referencing of the heavy minerals in the sample slide. The method is tested on modern sediments of the Fulda river (central Germany) draining two Miocene volcanic sources (Vogelsberg, Rhön) resting on top of Lower Triassic siliciclastic sediments. The downstream evolution of the volcanic detritus is documented and the capability to analyze silt-sized grains has revealed an additional eolian source. This capability also poses the possibility of systematically assessing the heavy-mineral assemblages of shales, which are often disregarded in sedimentary provenance studies.

Detrital zircon geochronology and heavy mineral analysis as complementary provenance tools in the presence of extensive weathering, reworking and recycling: the Neogene of the southern North Sea Basin

2021 ◽  
pp. 1-13
Author(s):  
Jasper Verhaegen ◽  
Hilmar von Eynatten ◽  
István Dunkl ◽  
Gert Jan Weltje
Keyword(s):  
North Sea ◽  
Chemical Weathering ◽  
Heavy Mineral ◽  
Mineral Analysis ◽  
Provenance Analysis ◽  
Detrital Zircon Geochronology ◽  
Southern North Sea ◽  
Variable Heavy ◽  
Mineral Data ◽  
Heavy Mineral Analysis

Abstract Heavy mineral analysis is a long-standing and valuable tool for sedimentary provenance analysis. Many studies have indicated that heavy mineral data can also be significantly affected by hydraulic sorting, weathering and reworking or recycling, leading to incomplete or erroneous provenance interpretations if they are used in isolation. By combining zircon U–Pb geochronology with heavy mineral data for the southern North Sea Basin, this study shows that the classic model of sediment mixing between a northern and a southern source throughout the Neogene is more complex. In contrast to the strongly variable heavy mineral composition, the zircon U–Pb age spectra are mostly constant for the studied samples. This provides a strong indication that most zircons had an initial similar northern source, yet the sediment has undergone intense chemical weathering on top of the Brabant Massif and Ardennes in the south. This weathered sediment was later recycled into the southern North Sea Basin through local rivers and the Meuse, leading to a weathered southern heavy mineral signature and a fresh northern heavy mineral signature, yet exhibiting a constant zircon U–Pb age signature. Thus, this study highlights the necessity of combining multiple provenance proxies to correctly account for weathering, reworking and recycling.

Sign in / Sign up

Export Citation Format

Share Document