Applied mineral exploration methods, hydrothermal fluids, baro-acoustic decrepitation, CO2 rich fluids
Viewpoints:

Thermodynamics shows Au is insoluble in CO2 fluids

Do IOCG deposits form from CO2 rich fluids?

Inclusion shapes can prove heterogeneous trapping

Disproportional FI trapping from heterogeneous fluids explains gas-dominant systems

A discussion of H2 analysis by mass spectrometry

A mechanism to form H2 in the MS ioniser during analyses

Why don't Exploration geologists understand fluid inclusions?

News:

New model 205 decreptiometer

Studies of 6 Pegmatite deposits

A study of the Gejiu tin mine, China

Data on MVT Pb-Zn deposits, Tunisia

Data from Hall and Mt Hope Mo, Nevada

A magnetite study - Bergslagen region, Sweden

Exploration using palaeo-hydrothermal fluids

Using opaque minerals to understand ore fluids

Decrepitation using Fe-oxide opaques

Understanding baro-acoustic decrepitation.

An introduction to fluid inclusions and mineral exploration applications.



 Interesting Conferences:


Futores II, June 4-7, Townsville, Australia

ECROFI 2017, June 23-29, Nancy, France

AOGS 14th, Aug 6-11, Singapore

SGA 2017, Aug. 20-23, Quebec city, Canada

SEG 2017, Sept. 17-20, Beijing, China

Exploration 17, Oct. 21-25, Toronto, Canada

AAG 2017 at RFG2018, June 16-21 2018, Vancouver, Canada


Comprehensive Geology Conference Calendar


Geochemical exploration using palaeo-hydrothermal fluids

Kingsley Burlinson

A presentation at the SGA conference, Uppsala, Sweden, August 2013


Many mineral deposits are formed by hydrothermal processes. To explore for these we make extensive use of geophysics and geochemistry but rarely do we use the fluids themselves in exploration, despite the fact these fluids are preserved as fluid inclusions. With carefully chosen analytical methods we can easily derive very useful information from the fluids themselves to use in exploration for hydrothermal mineral deposits.

Some typical inclusions trapping the palaeo-hydrothermal fluids are shown here.

  1. Aqueous inclusions are very common, but not usually useful for mineral exploration.
  2. CO2 rich fluid inclusions are frequently associated with mesothermal gold deposits and are often a good indication of deep-sourced fluids which may have transported and deposited gold and other economic minerals.
  3. Highly saline inclusions with a daughter crystal of halite are common in the core zone of porphyry copper systems, or other intrusion related deposits.


fluid inclusion types


This model for the formation of mesothermal gold deposits shows that CO2 rich fluids are often derived from metamorphic de-volatilisation. These fluids may have dissolved gold from the source region. As the fluids ascend to the surface their temperature drops and CO2 may ex-solve as the pressure decreases and these changes can lead to deposition of the gold in solution to form a deposit. The CO2 also buffers the fluid in a pH range which favours the solution and transport of gold. (Phillips & Evans) Hence the presence of CO2 rich fluids is a good exploration guide. Using CO2 as an exploration guide provides a larger and more consistent target than trying to use geochemical analyses or mineralogical zoning. It is also advantageous in the detection of blind deposits which are otherwise difficult to locate.




mesothermal CO2 rich gold model


Traditional microthermometric methods to determine CO2 contents are slow and tedious and usually require petrographic sections. But for exploration we can use the baro-acoustic decrepitation method to easily and quickly determine approximate CO2 contents. This method uses a computerised instrument and is completely objective as it avoids the need for visual observation with its potential for bias. Analyses are done on crushed grain samples and there is no need to prepare petrographic sections. The analysis is rapid and takes just 30 minutes per sample and so large numbers of samples from a spatial array can be analysed in the same manner than geochemical surveys are undertaken. The presence of CO2 in the sample is shown by a distinctive peak in the baro-acoustic decrepigram result.

This is the model 105 decrepitation instrument in current use.
model 105 decrepitometer


The analysis result is a histogram of counts versus temperature.
typical decrepigrams

This shows the decrepitation curve for 2 different quartz samples, one (blue) without CO2 and the other (red) with CO2 rich fluid inclusions. The CO2 causes a peak at unusually low temperature which is characteristic of the presence of CO2 and the peak amplitude is an approximate estimate of the CO2 amount. (Other non-condensible gases such as CH4 also contribute to this low temperature decrepitation peak.) The green result is an analysis of quartz that has previously been analysed. It shows no response at all and confirms that the measurements are of fluid inclusions and not crystallographic effects. Fluid inclusion decrepitation is destructive and hence irreversible, but many crystallographic transitions are reversible and would also be detected on a re-analysis of the previously analysed quartz.

PT graph for h20 and co2

Using this P-T graph, we can easily explain why CO2 rich inclusions cause a distinctive low temperature peak on the decrepitation results.
Consider 2 inclusions formed at the "formation point" of 380 C and 1000 bars, one with only water and the other with only CO2.
At room temperature the aqueous inclusion will have condensed to a liquid with a vapour bubble. As it is heated the internal pressure (blue line)  does not rise much until after the liquid expands and eliminates the vapour bubble at the "homogenisation point". The pressure will then rise quickly with further heating, following the green isochore line until it decrepitates near 350 C.
In contrast, the CO2 inclusion does not condense and remains as a gas phase. When heated the internal pressure is determined from the gas law equation (PV=nRT) and rises linearly as shown by the magenta line. Decrepitation occurs at the much lower temperature of 240 C, giving the characteristic low temperature decrepitation peak due to gas rich inclusions.

An additional more detailed explanation of the cause of low temperature decrepitation is here.

The baro-acoustic decrepitation method exploits this behaviour to provide an easy way to determine the CO2 content of inclusion fluids.





Using CO2 in gold exploration at Woods Point, Vic., Australia

The Morning Star mine at Woods Point is about 120 Km north-east of Melbourne. It has produced over 900,000 oz of gold since discovery in 1861

The gold mineralisation is associated with the intrusion of a late Devonian aged dyke swarm within the Silurian and early Devonian sedimentary host rocks.

woodspoint geology map
(Map modified from "A geochronological framework for orogenic gold mineralisation in central Victoria, Australia" by Bierlein, Arne, Foster & Reynolds, Mineralium Deposita (2001) V36:741-767). KEY:  Major intrusives are: WRG White Rabbit Granite; SG Stawell Granite; MAG Mt Ararat Granite; MB Mt Bute; CBG Cobaw/Pyalong Granite; TP Tarnagulla Pluton; HG Harcourt Granite; SBG Strathbogie Granite


Samples from the Morning Star mine and adjacent areas were collected by Caitlyn Hoggart as part of her thesis work. 34 samples were analysed by baro-acoustic decrepitation.
Most samples had a prominent low temperature decrepitation peak indicating the presence of CO2 rich fluid inclusions as seen here in samples from the Morning Star mine adit.

woodspoint decrepigrams



Each sample result curve was de-convoluted into component skewed-gaussian curves as described here.
This mathematical procedure provides consistent and reliable values for the temperature and height of the decrepitation peaks in each sample to facilitate inter-sample comparisons.

This is an example of the results of de-convolution of sample 512 into 4 component curves. The black line (frequently hidden beneath the red line) is the raw data while the red line is the mathematically calculated best fit to the raw data.

de-convolution of a woodreef sample


Comparison of all the CO2 peak data from all the samples shows that the temperature does not vary much across the field. But there are significant and potentially informative variations in the amplitude of the CO2 peak, reflecting variations in the abundance of CO2 rich inclusion populations in each sample.

woodsreef T and CO2 summary



This plot compares the gold analyses with the low temperature CO2 caused  decrepitation peak height. All except one sample (sequential sample #3 in this plot) containing more than 10 ppm gold had a high CO2 peak. (The magenta lines connect all the above background Au results and their CO2 analysis.)
Because CO2 rich fluid inclusions are widely dispersed  around mineralisation they form a large anomaly target. Exploration for these fluids is better than relying on gold results which are less widely dispersed and often erratic due to nugget effect irregularities. But this study is incomplete due to the lack of distal unmineralised comparison samples.


woodsreef Au analyses and CO2








Saline fluids in porphyry copper and intrusion related systems


The relationship between highly saline fluids and the core zone of porphyry copper systems has been widely documented, including this old summary from 1981. As the parent intrusion crystallizes, incompatible minerals concentrate in the last stage residual aqueous fluids. Salt also concentrates in these last stage fluids, which then form the economically interesting mineral deposits as they migrate away from the intrusion. These saline fluids can be used to identify potentially mineralised zones as the saline fluids are dispersed more widely than the mineralization itself. They can be used to vector in towards the core zone of the intrusion and its associated mineralisation.

Although measuring precise salinities of fluid inclusions can be complicated and slow, such detailed measurements are not necessary. In an exploration programme it is sufficient to merely observe the presence of daughter halite crystals in the fluid inclusions as these form when the fluid salinity exceeds NaCl saturation of about 26 wt. %. Quick and easy observations are adequate to recognize these important saline fluids which directly indicate the proximity to the potentially mineralised core zone of the hydrothermal fluid system.

This depositional model diagram shows the relationship between an intrusive magma and the saline fluids which concentrate in its late stage core fluids. Saline fluid inclusions occur above and peripheral to the economically mineralised zones and assist in locating  the mineralised core zone and also blind deposits.



porphyry deposit model


It is very easy to make these observations and it is not even necessary to prepare petrographic sections or use a polarizing microscope. Crushed and sized grains (approx <420 microns [40 mesh] and >200 microns [80 mesh]) immersed in an oil with the same refractive index as quartz (clove oil) are quite suitable for observation on a transmitted light microscope with magnification of about 600 (40* objective, 15* eyepiece).

Despite the ease of measurement and great benefit of using these saline inclusions to assist in exploration, fluid inclusions are not used often if at all and the method was completely ignored at Cadia, NSW, Australia.

This image shows fluid inclusions in crushed grains in oil. The right hand image is at low magnification of about 60 times and the numerous dark spots are abundant fluid inclusions, each about 5 to 20 microns across. At high magnification you can easily see the contents of the inclusions as in the left hand image. (Unfortunately there are no halite daughter crystals in this image as I do not have a suitable photograph.)

A literature survey (1981) about using fluid inclusions in porphyry deposit exploration is here.


microscopy on grains in oil







Using fluid temperature measurements in mineral exploration

Academic fluid inclusion studies invariably measure numerous fluid inclusion homogenisation temperatures to determine the temperature of formation of the system. Such studies invariably record great complexity with varying types of fluid inclusions emplaced at different stages (primary, pseudo-secondary, secondary) in mineral host grains of differing paragenesis. Temperatures are usually painstakingly recorded with 0.1 C resolutions. The resulting studies are extremely detailed, but curiously they almost always summarise the temperatures as very broadly averaged histograms with very poor temperature resolution. The end result of these slow and tedious studies is the realisation that mineralised quartz veins form in similar or identical temperature ranges as barren veins and that temperature measurements are consequently of little or no use in an exploration context.

In this astonishingly comprehensive study, Tomilenko et.al measured the temperatures of 5025 quartz samples from both mineralised and barren quartz veins in the Sovetskoye gold deposit, Siberia, Russia. Their summary histograms show that there is no significant temperature difference between mineralised and barren quartz veins.


fi temperatures at sovetskoye

Measurements of fluid inclusion temperatures do not provide useful information to guide regional exploration. Such data are primarily of use in forensic studies of the genesis of deposits that have already been discovered.

However, fluid inclusion temperatures may be useful in carefully controlled studies of an individual deposit to outline zonation.

Temperature zonation within the Malanjkhand copper mine, India

Malanjkhand is a large open pit copper mine in central India

malanjkhand mine location map


The copper occurs within an extensive quartz reef within granitoid host rocks. A description of the deposit is given in:  "The Malanjkhand copper (+molybdenum) deposit, India: mineralization from a low-temperature ore-fluid of granitoid affiliation" by M.K. Panigrahi and A. Mookherjee in Mineralium Deposita (1997) V32:p133-148.

Although sometimes classified as a "porphyry copper" type deposit, quartz is the dominant accessory mineral (almost the exclusive accessory mineral) in the ore zone and this is quite unlike typical porphyry copper deposits elsewhere. But the abundance of quartz allows detailed fluid studies throughout the pit.

malanjkhand mine geology map

Samples were collected from the pit itself and from adjacent areas where possible. 8 locations were sampled and are geo-located on this satellite image. At each location multiple samples were collected to examine fluid variations on both local and regional scales. The prefix  MJ together with these site numbers is used in the following diagrams to refer to the sample collection locations.

satellite image malanjkhand


These 8 samples collected at sample location MJ4 on the eastern wall of the main pit in the ore zone are typical of all the results from Malanjkhand. There is no low temperature decrepitation indicating that the fluids are aqueous without significant gas content. Some differences in the temperature of the decrepitation peak near 450 C are apparent between samples.

h2240 decrepitation result

To accurately determine a temperature for each sample to enable comparison they were all de-convoluted to their component skewed-gaussian distributions, as described here. The mode temperature of each peak was used for inter-sample comparison. This temperature is only approximately related to the homogenisation and formation temperatures of the sample fluids but it is a convenient and consistent temperature for comparison of a suite of similar samples.

In this fit plot, the black line is the raw (smoothed) analytical data. This has been fitted by 2 gaussian curves in cyan and green. The  yellow curve is the mathematical sum of the 2 fitted gaussian component curves. The red curve, which is almost completely concealed beneath the yellow curve, is the regression fit curve using the Levenberg -Marquardt algorithm.            Further discussion of the mathematical fitting methods is here.

fitted h2240 result


The mode temperatures of the fitted gaussian curves for each sample are plotted in the diagram below. Samples are in groups according to their geographic location MJ number. The green samples are repeat gaussian fits of the same raw data. These replicate results confirm that the mathematical fit procedure is stable and robust.

There are significant temperature differences across the pit with temperatures ranging from 454 to 508 C. Temperatures from the northern section of the pit tend to be higher than in the south of the pit. And the active ore zone at location MJ4 also has lower temperatures.

These temperature variations could be showing zonation within the ore. Samples from the Molybdenum rich north end of the pit at location MJ3 show high temperatures as might be expected in a zone associated with molybdenite deposition.

Temperature zonation such as this might be useful in mine scale mapping. However, there are numerous late stage dykes crosscutting the pit (refer to the geology map above) which may also be influencing the temperatures so it is not possible from this data to be completely certain about the cause of the observed temperature zonation.

Note that distal background unmineralised samples from the town area at locations MJ5 and MJ6 have the same temperature as mineralised samples. Temperatures alone are not diagnostic of mineralisation and are only meaningful on a carefully collected spatial array of samples.

malanjkhand summary results

The temperature variations from the above plot indicate a temperature difference across the current mine pit with higher temperatures at the north end of the pit, where Molybdenite also occurs, and lower temperatures at the south and central areas of the pit, although the zonation is indistinct and possibly affected by overprinting from the later crosscutting dykes. These differing temperature zones are superimposed on the geology map below.


malanjkhand pit with temperature anomalies


Microthermometric temperature measurements are too slow, tedious and subjective to be useful in exploration. However, the baro-acoustic decrepitation method can be used to determine relative temperatures for inter-sample comparison on mine scale projects or for detailed zonation studies.






Conclusions



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