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Exploration for porphyry-style copper mineralisation near Llandeloy

Exploration for porphyry-style copper mineralisation near Llandeloy

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pyrite do not usually exceed 1 cm in width. Veins of<br />

euhedral crystals occur in some rocks, not obviously<br />

related to a fracture system. Pyrite is a common<br />

additional mineral in veins of quartz, chlorite, epidote<br />

arid calcite-<br />

Chalcopyrite very rarely occurs as disseminated<br />

anhedra. It was observed mostly as blebs within pyrite, in<br />

veins, or associated with magnetite in bands. These<br />

bands are intersected by late epidote-carbona te veins<br />

carrying interstitial chalcopyrite and, in places, pyrite.<br />

It is also present with pyrite in chlorite lenticles and<br />

veinlets. Chalcopyrite, there<strong>for</strong>e, was <strong>for</strong>med in at least<br />

two phases, but -60th -appear to- have ken within the<br />

late-stage propyli tic event.<br />

Magnetite, though probably a primary mineral in some<br />

rocks, is mainly a secondary mineral and is locally<br />

abundant. It <strong>for</strong>ms subhedral, disseminated crystals<br />

marginaily altered to hematite or partly surrounded by<br />

leucoxene, but there is a preferential association with<br />

chlorite either in pseudomorphs after ferromagnesian<br />

minerals or as a pervasive alteration product. Large<br />

anhedral crystals occur with quartz in veins and, rarely,<br />

in late carbonate veins.<br />

Apart from hematite and leucoxene, the only<br />

secondary minerals recorded include malachite and rare<br />

covelli te.<br />

Finally, fluid inclusions in quartz were examined in a<br />

number of specimens from boreholes 4 and 5 by T.J.<br />

Shepherd (B.G.S.) and though the state of preservation<br />

was poor, three phase inclusions (with halite) of a type<br />

common in the Coed y Brenin <strong>porphyry</strong> <strong>copper</strong> deposit<br />

(Allen and others, 1979) were found in four samples.<br />

Soil sampling survey<br />

Sampling and analysis 756 soil samples, each weighing<br />

about 200 g, were collected from as deeply as possible<br />

using a 120 cm long hand auger from two or more holes<br />

at sites spaced at 50 m intervals along the traverse lines.<br />

The samples were analysed <strong>for</strong> Cu, Pb and Zn by AAS<br />

following the same sample preparation and acid digestion<br />

used <strong>for</strong> the Middle Mill samples. Total gamma<br />

radiometric measurements were made at all sample sites<br />

using an AERE 1597A ratemeter in an attempt to detect<br />

contrasting li thologies and alteration zones.<br />

Results The analytical results are summarised in Table<br />

8~ the <strong>copper</strong> results together with anomalous lead<br />

and zinc results are plotted on Fig. 30. Distributions and<br />

threshold levels were determined by cumulative<br />

frequency curve analysis (Lepeltier, 1969; Sinclair ,<br />

1976). Copper and lead give sigmoidal plots on logscale<br />

probability graphs, which in the case of lead tends<br />

towards binormal <strong>for</strong>m as the upper population is poorly<br />

defined and only represents a small percentage of the<br />

total sample population. The <strong>copper</strong> distribution assumes<br />

a normal <strong>for</strong>m at low levels, a feature which may be of<br />

natural origin, but could be produced by sampling or<br />

analysis. Zinc shows a binormal <strong>for</strong>m on a truescale<br />

probability plot indicating; the presence of a background<br />

normal population and an upper population of uncertain<br />

<strong>for</strong>m (Fig, 15).<br />

Threshold levels <strong>for</strong> all three elements were set where<br />

the main background population deviated significantly<br />

(95% confidence level, Sinclair, 1976) from a straight<br />

line. Consequently the anomalous sample populations<br />

contain a percentage of samples belonging to the<br />

background populations, but few samples from the upper<br />

populations have been excluded. The <strong>near</strong> tdog-leg' (bi-<br />

normal) <strong>for</strong>m of the lead and zinc plots did not allow the<br />

parameters of the upper populations to be defined, but<br />

the small range of the results and low overall metal<br />

content of the upper lead and zinc populations suggests<br />

that they are not related to substantial <strong>near</strong> surface<br />

<strong>mineralisation</strong>. The upper <strong>copper</strong> population has a<br />

median value of 85 ppm, a 2.5% level of 45 ppm and a<br />

91.5% level of 155 ppm. Only 0.5% of samples from the<br />

lower population have <strong>copper</strong> contents greater than the<br />

median of the upper population.<br />

Copper and zinc show a highly significant (>99.95%<br />

confidence level) positive correlation (p0.56) by the<br />

Spearman-cank method. Lead and zinc show a much<br />

weaker but still significant positive correlation (p0.24)<br />

whilst <strong>copper</strong> and lead show no significant relationship.<br />

Pearson product-moment correlations on log trans<strong>for</strong>med<br />

data yield closely similar results.<br />

The correlation between <strong>copper</strong> and zinc is thought to<br />

be generated by similar background variation and<br />

enhanced levels of both elements related to<br />

<strong>mineralisation</strong>. Chalcckpyrite is found in the<br />

<strong>mineralisation</strong> but sphalerite is not recorded and, in view<br />

of the low overall levels of zinc, it is suspected that the<br />

anomalous levels of zinc are generated from pyrite and<br />

magnetite associated with <strong>copper</strong> <strong>mineralisation</strong>.<br />

o-%--<br />

Inter re tation Soil sample li thologies, which consisted<br />

largely o weathered till or periglacial deposits, showed<br />

a broad relationship to the regional geology and were<br />

used to construct Fig. 19. The distribution of samples<br />

containing shale fragments with respect to the southern<br />

boundary of the Ordovician Tetragraptus Shales suggests<br />

that displacement from bedrock source does not<br />

normally exceed 300 m. The distribution of geochemical<br />

anomalies shows no relation to soil type apart from<br />

possible secondary concentrations in the grey gley.<br />

Anomalous results can be contoured but the<br />

rectangular sample spacing tends to generate east-west<br />

trends which may be unrealistic. The majority of Cu<br />

anomalies, including all those greater than 80 ppm, were<br />

subsequently proved to be related to sulphide<br />

<strong>mineralisation</strong>. Weak <strong>copper</strong> anomalies have at least two<br />

other causes which may also contribute to some of the<br />

larger anomalies. Firstly, contamination may have<br />

caused a combined lead anomaly and threshold level<br />

<strong>copper</strong> result close to a field boundary and road at SM<br />

8565 2935 and a similarly sited anomaly at<br />

SM 8804 2956. Secondly, <strong>copper</strong> anomalies which occur<br />

in marshy ground may be enhanced by hydromorphic<br />

processes; examples are located on line 2900E at<br />

SM 8466 2935 and in the Solfach valley on line 4700E.<br />

Table 8 Summary of <strong>copper</strong>, lead and zinc results in ppm <strong>for</strong> 756 soil samples from the <strong>Llandeloy</strong> area<br />

Element Mean Standard Geometric Geo. mean + Median Maximum Minimum Threshold<br />

deviation mean 2 x geo. dev. (background)

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