Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

An instrument for fluid inclusion decrepitometry and examples of its application

View through CrossRef
A decrepitation instrument has been constructed which provides rapid, reliable and fully automated analyses and it has been used to analyse some 3 000 samples to evaluate the application of decrepitation data in mineral exploration. Monomineralic samples of 0.5 g of crushed, sieved grains are analysed and extensive studies have been done using magnetite, pyrite, galena, carbonates and quartz. Quartz vein samples often show three or more distinct decrepitation peaks. A peak at 570 °C is related to the weakening of quartz during the alpha to beta phase transition, which facilitates the decrepitation of inclusions. A low temperature peak (below 300 °C) is due to the presence of gas-rich inclusions (the most common gas being CO2), while the intermediate temperature peak is due to primary inclusions. Pyrite and quartz of hydrothermal origin usually give strong decrepitation responses whereas sedimentary pyrite or low temperature cherts give negligible decrepitation. Carbonate samples give very intense decrepitation up to their thermal decomposition temperatures, at which point the decrepitation suddenly ceases. Because of the speed and low cost of the analyses, the technique is useful for exploration projects and for scanning and selecting samples prior to conventional microthermometric studies.
Title: An instrument for fluid inclusion decrepitometry and examples of its application
Description:
A decrepitation instrument has been constructed which provides rapid, reliable and fully automated analyses and it has been used to analyse some 3 000 samples to evaluate the application of decrepitation data in mineral exploration.
Monomineralic samples of 0.
5 g of crushed, sieved grains are analysed and extensive studies have been done using magnetite, pyrite, galena, carbonates and quartz.
Quartz vein samples often show three or more distinct decrepitation peaks.
A peak at 570 °C is related to the weakening of quartz during the alpha to beta phase transition, which facilitates the decrepitation of inclusions.
A low temperature peak (below 300 °C) is due to the presence of gas-rich inclusions (the most common gas being CO2), while the intermediate temperature peak is due to primary inclusions.
Pyrite and quartz of hydrothermal origin usually give strong decrepitation responses whereas sedimentary pyrite or low temperature cherts give negligible decrepitation.
Carbonate samples give very intense decrepitation up to their thermal decomposition temperatures, at which point the decrepitation suddenly ceases.
Because of the speed and low cost of the analyses, the technique is useful for exploration projects and for scanning and selecting samples prior to conventional microthermometric studies.

Related Results

Experimental Investigation of Permeability and Fluid Loss Properties of Water Based Mud Under High Pressure-High Temperature Conditions
Experimental Investigation of Permeability and Fluid Loss Properties of Water Based Mud Under High Pressure-High Temperature Conditions
Drilling in deeper formations and in high pressure and high temperature (HPHT) environments is a new frontier for the oil industry. Fifty years ago, no one would have imagined dril...
Predict Reservoir Fluid Properties from Advanced Mud Gas Data
Predict Reservoir Fluid Properties from Advanced Mud Gas Data
Abstract In a recent paper, we published a machine learning method to quantitatively predict reservoir fluid gas oil ratio (GOR) from advanced mud gas (AMG) data. Th...
Access Denied
Access Denied
Introduction As social-distancing mandates in response to COVID-19 restricted in-person data collection methods such as participant observation and interviews, researchers turned t...
Predicting Reservoir Fluid Properties from Advanced Mud Gas Data
Predicting Reservoir Fluid Properties from Advanced Mud Gas Data
SummaryIn a recent paper, we published a machine learning method to quantitatively predict reservoir fluid gas/oil ratio (GOR) from advanced mud gas (AMG) data. The significant inc...
Determinants of Financial Inclusion Information Disclosure of Islamic Rural Banks in Indonesia
Determinants of Financial Inclusion Information Disclosure of Islamic Rural Banks in Indonesia
ABSTRAK Tujuan dari penelitian ini untuk mengetahui pengaruh dari adanya ukuran bank, umur bank, aktivitas sosial, dan probabilitas terhadap pengungkapan informasi inklusi keuangan...
Successful Application of Seawater-Based Clean Fracturing Fluid
Successful Application of Seawater-Based Clean Fracturing Fluid
Abstract Seawater-based fracturing fluids are favorable in offshore locations because of the readily available seawater. This minimizes or even eliminates costly ves...

Back to Top