TIDMAAU
25 April 2016
AIM: AAU
SUBSTANTIAL INCREASE IN KIZILTEPE RESOURCE
Ariana Resources plc ("Ariana" or "the Company"), is pleased to announce
an increase and update of its JORC compliant Mineral Resource estimate
for the Kiziltepe Project following its recent drilling programme in
Turkey. Kiziltepe is part of the Red Rabbit Joint Venture with Proccea
Construction Co. and will be 50% owned by Ariana once mine construction
is completed in H2 2016.
Highlights:
-- Overall increase in Mineral Resource estimate of c. 44,500 oz Au and
886,000 oz Ag to a total of 195,200 oz Au and 3.15Moz Ag contained metal
on four main veins, excluding existing resources on several subsidiary
veins such as Kepez.*
-- Substantial increase in tonnage (to c. 2.5Mt) with a corresponding
reduction of grade (to c. 2.5 g/t Au and 40.3 g/t Ag) as a result of
adoption of revised geological model.
-- Large increase (approx. 45%) in volume of new Whittle-generated pit
shells in comparison to designed pits, notably Arzu North and Derya.
-- Whittle base case optimisation demonstrates a potential increase in mine
life from c. 8 years to c. 10 years at a designed throughput rate of
150,000 tonnes per annum.
Dr. Kerim Sener, Managing Director, commented:
"Following the completion of an extensive review of our geological model
and the addition of new drilling data, this result is a very pleasing
update on our resource estimate for the Kiziltepe Mine. Importantly,
the discovery cost of these additional ounces is approximately US$5 per
ounce, which demonstrates the very cost-efficient exploration we are
able to conduct on this project.
The resource update, in addition to Whittle optimisation work,
demonstrates the potential for Kiziltepe to provide for a mine life of
about 10 years at the designed throughput rate of 150,000 tonnes per
annum. This also excludes several subsidiary veins on which we have
already established resources, which with further work may add further
to mine life.
With the enlarged resource and with expectations of further resource
growth, we are now reviewing our options to potentially increase the
mine throughput rate up to 200,000 tonnes per annum with our partners,
Proccea. Meanwhile, construction at the mine is proceeding well, with
delivery of the ball-mill to site occurring a few days ago."
* All Mineral Resource figures in the announcement are quoted gross with
respect to the Red Rabbit Joint Venture. Ariana will own 50% of the
production from the JV when the Kiziltepe Mine is operational.
Resource Estimate
Following the completion of a 1,208m Reverse Circulation ("RC") drilling
programme in December 2015 (see 31 January 2016 Announcement),
geological consultants Odessa Resources Pty. Ltd. undertook a resource
estimate for Kiziltepe. The recent RC drilling coupled with certain
diamond drilling completed in late 2011 and early 2012, totalling 1,290m,
was used in the new estimation.
The new Kiziltepe JORC 2012 compliant Mineral Resource estimate has been
defined by 213 drill holes and 125 rock-saw channels on 212
cross-sections with typically 10m section spacing (see JORC Table 1
below). Wireframes were constructed using sectional polylines defined
by a cut-off of 0.5 g/t gold. Several lodes were created from the
sectional interpretations, which are orientated NW and WNW and typically
dip steeply at up to 85 degrees towards the northeast (Figure 1)
comprising four main areas, Arzu South, Arzu North, Banu and Derya. Top
cuts of 15 g/t Au and 200 g/t Ag were used and a variable bulk density
ranging between 2.50 and 2.65 g/cm(3) were assigned to the appropriate
solids and used for the resource estimation. Grade interpolation was by
the Inverse Distance Squared ("ID2") method.
The previous estimate, completed in 2013 by Tetra Tech, identified a
JORC 2004 compliant Mineral Resource of 1,502,000 tonnes at 3.12g/t gold
and 46.97g/t silver on four main veins (excluding separate estimates on
subsidiary veins and alteration halo mineralisation), based on drilling
completed until 2011. The addition of 16 diamond holes and 19 RC holes
undertaken for infill and extension drilling at Kiziltepe completed
since late 2011, in addition to corresponding modifications of the
geological model, has increased the Mineral Resource on these four main
veins to 2,436,315 tonnes at 2.49g/t gold + 40.27g/t silver and has
confirmed the potential extension of the Arzu structure under cover
between Arzu South and Arzu North. This estimate specifically excludes
several subsidiary veins on which Inferred resources have previously
been established (for an additional 18,555 oz Au equivalent), such as
Kepez, Derya West, Aybor, Ceylan and Arzu Far North, in addition to a
potential 28,230 oz Au equivalent, referred to as "Alteration Halo" in
the Tetra Tech estimate. Further drilling, modelling and economic
assessments will be required on these subsidiary veins and alteration
halo mineralisation to determine their potential to be included as Ore
Reserves.
Table 1: Summary 2016 Kiziltepe JORC 2012 compliant Mineral Resource
estimate, based on 125 diamond and 76 RC drill holes. This estimate
excludes several subsidiary veins such as Kepez, which were a part of
the previous resource estimate. Gold equivalent is the sum of the gold
ounces and the gold equivalent ounces of silver based on a price ratio
of 60:1. Reporting at a 1/g/t Au cut off, excluding Banu which is
included in these figures at a 0.5 g/t Au cut-off. All figures are
quoted gross with respect to the Red Rabbit Joint Venture.
Tonnage Grade Au Grade Ag Au equiv.
Classification (t) (g/t) (g/t) Au (oz) Ag (oz) (oz)
MEASURED 1,051,491 3.19 43.7 108,009 1,476,700 132,621
INDICATED 512,422 2.16 40.6 35,650 668,490 46,792
INFERRED 872,402 1.84 36.0 51,545 1,008,906 68,360
GLOBAL 2,436,315 2.49 40.3 195,205 3,154,096 247,773
Figure 1, which can be accessed by clicking on or pasting the following
link into your web browser:
http://hugin.info/138153/R/2006265/741269.pdf, is the three-dimensional
model of the Kiziltepe vein system (in yellow) looking north, showing
the modelled ore zones and current drilling. The Arzu Central target
area is shown in grey.
Whittle Optimisation
Whittle Pit Optimisation Software was used by Auralia Mining Consulting
Pty. Ltd. to define pit shells on all-materials that contained grade
within the resource block model. The optimisation work generated four
pit shells at Arzu South, Arzu North, Banu and Derya respectively
(Figure 2: http://hugin.info/138153/R/2006265/741270.pdf ). The Whittle
base case optimisation work was run using the parameters provided in
Table 2. The Arzu South pit shell is the largest with dimensions of 860
x 145 x 90m, followed by the Arzu North (530 x 175 x 85m), Derya (545 x
150 x 80m) and Banu (485 x 90 x 50m) pit shells. The output of the
Whittle optimisations is provided in Table 3. It is important to note
that actual pit designs may vary from these optimised pit shells based
on a variety of modifying factors that will result from an increase in
the accuracy and definition of future work, notably additional
confirmatory and grade control drilling, geotechnical analysis and mine
planning. The bulk of the Mineral Resource sits within these four pit
shells and therefore has a high probability of being converted into Ore
Reserve classification once these modifying factors are fully taken in
to account.
Figure 2, which can be accessed by clicking on or pasting the following
link into your web browser:
http://hugin.info/138153/R/2006265/741270.pdf, is the three-dimensional
model of the four main veins on Kiziltepe comprising the current
resource estimate, showing new Whittle optimised base case pit shells
(in red), the designed pits from the Definitive Feasibility Study (in
light blue) and the new vein model (in yellow).
Table 2: Whittle optimisation parameters used for the Kiziltepe base
case. Cut-off grades were calculated as per the formula: ECOG = (Mining
Dilution x Processing Cost)/Processing Recovery x (Sell Price - Sell
Costs). Note that a gold equivalent cut-off grade was not implemented
in the base case Whittle optimisations.
Whittle Input Parameter Value Unit
Overall Pit Slope 50 Degrees
Mining Cost (ore and Waste) 1 US$/t
Mining Dilution 10%
Mining Recovery 95%
Processing Cost 23 US$/t
Processing Recovery (Au) 87%
Processing Recovery (Ag) 64%
Discount Rate 8%
G&A Cost (haulage at $8.40/t plus G&A at $1.60/t) 11 US$/t
Metal Price Gold 1,060 US$/oz
Metal Price Silver 15 US$/oz
Total Selling Cost Au (NSR 2%) 34.84 US$/oz
Total Selling Cost Ag (NSR 2%) 0.69 US$/oz
The Whittle base case optimisations were conducted on the basis that all
JORC classified material, including Inferred and Unclassified, was
included to be considered for processing.
Table 3: Output of Whittle base case optimisation, showing key
parameters. Numbers are rounded to one decimal place.
Ore t input to mill 1,520,000
Au grade input to mill 2.8 g/t
Ag grade input to mill 38.8 g/t
Waste t 21.8 Mt
Strip Ratio 14.3
(MORE TO FOLLOW) Dow Jones Newswires
April 25, 2016 02:00 ET (06:00 GMT)
Mine life @150ktpa mill throughput 10.2 years
Product Au 119,000 oz
Product Ag 1,214,000 oz
Contacts:
Ariana Resources plc Tel: +44 (0) 20 7407 3616
Michael de Villiers, Chairman
Kerim Sener, Managing Director
Beaumont Cornish Limited Tel: +44 (0) 20 7628 3396
Roland Cornish / Felicity Geidt
Beaufort Securities Limited Tel: +44 (0) 20 7382 8300
Jon Belliss
Loeb Aron & Company Ltd. Tel: +44 (0) 20 7628 1128
John Beresford-Peirse
Editor's Notes
Competent Person:
The information in this report that relates to Mineral Resources is
based on information compiled by Mr. Alfred Gillman of Odessa Resources
Pty. Ltd., who is a fellow of the Australasian Institute of Mining and
Metallurgy. Mr. Gillman is a consultant to Ariana Resources plc and has
sufficient experience relevant to the styles of mineralisation and type
of deposit under consideration and to the subject matter of the report
to qualify as Competent Person and defined in the 2012 edition of the
Australasian Code for the Reporting of Exploration Results Mineral
Resources and Ore Reserves (JORC Code). Mr. Gillman consents to the
inclusion in the report of the matters based on his information in the
form and context in which it appears.
Dr Kerim Sener, BSc (Hons), MSc, PhD, is the Managing Director of Ariana
Resources plc. A graduate of the University of Southampton in Geology,
he also holds a Master's degree from the Royal School of Mines (Imperial
College, London) in Mineral Exploration and a doctorate from the
University of Western Australia. He is a Fellow of The Geological
Society of London and has worked in geological research and mineral
consultancy in Africa, Australia and Europe. He has read and approved
the technical disclosure in this regulatory announcement.
About Ariana Resources:
Ariana is an exploration and development company focused on epithermal
gold-silver and porphyry copper-gold deposits in Turkey. The Company is
developing a portfolio of prospective licences selected on the basis of
its in-house geological and remote-sensing database, on its own in
western Turkey and in Joint Venture with Eldorado Gold Corporation in
north-eastern Turkey. Eldorado owns 51% of this joint venture and are
fully funding all exploration work on the JV properties, while Ariana
owns 49%. The total resource inventory within this JV is 1.09 million
ounces of gold.
The Company's flagship assets are its Kiziltepe and Tavsan gold projects
which form the Red Rabbit Gold Project. Both contain a series of
prospects, within two prolific mineralised districts in the Western
Anatolian Volcanic and Extensional (WAVE) Province in western Turkey.
This Province hosts the largest operating gold mines in Turkey and
remains highly prospective for new porphyry and epithermal deposits.
These core projects, which are separated by a distance of 75km, are
presently being assessed as to their economic merits and now form part
of a Joint Venture with Proccea Construction Co. The total resource
inventory at the Red Rabbit Project stands at 475,000 ounces of gold
equivalent.
Beaufort Securities Limited and Loeb Aron & Company Ltd. are joint
brokers to the Company and Beaumont Cornish Limited is the Company's
Nominated Adviser.
For further information on Ariana you are invited to visit the Company's
website at www.arianaresources.com.
JORC Table 1
Ariana Resources Kiziltepe Project
The table below is a description of the assessment and reporting
criteria used in the Kiziltepe Project Mineral estimation that reflects
those presented in Table 1 of The Australasian Code for the Reporting of
Exploration Results, Mineral Resources and Ore Reserves (The JORC Code,
2012). The Mineral Resource statement was prepared for the Kiziltepe
Project.
Sampling techniques and Data
Sampling techniques
-- Reverse circulation (RC) chips were collected at 1m intervals and in some
cases over 0.5m intervals over the mineralised zone. The chips were
collected into plastic sample bags from a cyclone to ensure maximum
recovery. The samples were split using a standard riffle-splitter to
around 0.25 to 0.5 kg per sample and sent to an ISO-accredited laboratory
in Romania for Au and Ag analysis by fire assay.
-- Full core was split using a rock saw and half-core samples were taken at
variable intervals. Core recovery was recorded into the database.
Drilling techniques
-- Percussion
-- Reverse Circulation (130mm diameter)
-- Diamond coring - NQ diameter
Drill sample recovery
-- Core recoveries were monitored and were generally good (>95%).
-- RC recoveries were routinely monitored.
Logging
-- All RC and core holes were logged lithologically using a coded logging
system for rock type, grain size, colour, alteration and any other
relevant observations.
-- Mineralised zones were identified from the gamma logging as well as
handheld XRF.
Subsampling techniques and sample preparation
-- Samples from diamond drilling were collected as sawn half-core or in some
cases full-core.
-- A combination of cyclone and riffle splitter to produce 0.25-0.5 kg
subsamples of RC chips was used. Wet intervals were sub-sampled with
scoop or spear. Samples were oven-dried at the laboratory if necessary.
Quality of assay data and laboratory tests
-- QC procedures employed in all recent drill programs included the
insertion of certified reference standards (1:22), blank samples (1:22),
pulp and crush duplicates (2:22) to monitor the accuracy and precision of
laboratory data.
-- The overall quality of QAQC is considered adequate to ensure the validity
of the data used for resource estimation purposes.
Verification of sampling and assaying
-- Samples collected by Ariana were submitted to ALS Global preparation
facilities in Izmir and analysis in Romania, Canada or Australia (ISO
9001 accredited).
Location of data points
-- All collar positions were located initially by hand-held GPS and later
surveyed by a professional surveyor using DGPS equipment.
-- Downhole deviation surveys were not routinely carried out in holes of
less than 100m depth. Deeper holes were surveyed using a standard
electromagnetic deviation tool.
Data spacing and distribution
-- At Kiziltepe drill section spacing is typically 10 to 12.5m with several
holes often being collared from a single site.
Orientation of data in relation to geological structure
-- The dip of the mineralisation for most of the deposit is 75-85o towards
the northeast.
-- Local grade continuity follows the dip of the mineralisation for the
entire deposit. All drilling is angled, thus intersecting the
mineralisation obliquely.
-- No biases are expected from the drilling direction.
Sample security
-- Samples are stored at a secure company facility (Sindirgi Depot) in a
clean area free of any contamination. During an active drilling programme,
samples are delivered to the laboratory once a week by Aras Cargo,
Sindirgi.
-- Chain of custody is demonstrated by both the company and ALS Global in
the delivery and receipt of sample materials. Upon receipt of samples,
ALS Global delivers by email to the company's designated QC Manager,
confirmation that each batch of 22 samples has arrived, with its
tamper-proof seal intact, at the Izmir sample preparation facility.
-- Any damage to or loss of samples within each batch (e.g. total loss,
spillage or obvious contamination), must also be reported to the company
in the form of a list of samples affected and detailing the nature of the
problem(s).
Audits and reviews of sampling and assaying
-- Ariana has implemented QA/QC programs covering all aspects of sample
location and collection that meets or exceeds the currently accepted
industry standards. Ariana implemented a QA/QC programme based on
international best practice during the initial exploration work and
subsequent drilling programmes. The company has continued to review and
refine the QA/QC programme as these exploration campaigns have
progressed.
Estimation and reporting of Kiziltepe Mineral Resources
Database integrity
-- The Kiziltepe resource data is stored in a MS Access database and is
managed using MS Access and Excel software.
-- Data was logged onto field sheets which were then entered into the data
system by data capture technicians.
-- Data was validated on entry into the database, or on upload from the
earlier MS Access databases, by a variety of means including the
enforcement of coding standards, constraints and triggers. These are
features built into the data model that ensure data meets essential
standards of validity and consistency.
-- Laboratory data has been received in digital format and uploaded directly
to the database.
-- Original data sheets and files have been retained and are used to
validate the contents of the database against the original logging.
-- Independent consultants Odessa Resources Pty Ltd performed a visual
validation by reviewing drillholes on section and by subjecting drillhole
data to data auditing processes in specialised mining software (e.g.
checks for sample overlaps etc.).
Site visits
-- Two site visits have been undertaken by Odessa Resources Pty Ltd.
-- Ariana staff have visited the site on numerous occasions in order to
observe drilling and sampling operations in order to ensure proper QAQC
(MORE TO FOLLOW) Dow Jones Newswires
April 25, 2016 02:00 ET (06:00 GMT)
and sampling protocols are maintained.
Geological interpretation
-- Veins the Kiziltepe prospect, comprise WNW-NNW trending, sub-parallel,
low-sulphidation style veins and related stockworks are hosted by dacite
and dacitic pyroclastic units.
-- At Arzu North and Banu the veins appear to bifurcate.
-- Interpretations of geological surfaces derived from 3D modelling of
drillhole lithological data.
Dimensions
Arzu South
-- In plan orientation, the deposit is approximately 750 metres long and
2-10m metres wide.
-- One primary lode trending 320 degrees and 150m northerly-trending
southern section separated from main lode by interpreted fault
-- Lodes vary from 2-10m in thickness with main lode averaging 5m thickness
-- Mineralisation has vertical extents ranging between 385 and 220mRL.
Arzu North
-- The deposit is approximately 460 metres long and comprises several
steeply-dipping parallel and partly overlapping 310 degree trending
lodes.
-- Mineralisation has vertical extents ranging between 405 and 220mRL.
Derya
-- The deposit is approximately 450 metres long and comprises several steep
north-dipping sub-parallel and partly overlapping, 290 degree trending
lodes.
-- Mineralisation has vertical extents ranging between 400 and 240 mRL
(average 90m down dip distance)
Gapz 400
-- The deposit is approximately 150 metres long and comprises a single
vertical 305 degree trending lode.
-- Mineralisation has vertical extents ranging between 410 and 300mRL.
Gapz 500
-- The deposit is approximately 80 metres long and comprises a single steep
north-dipping 300 degree trending lode.
-- Mineralisation has vertical extents ranging between 395 and 320mRL.
Banu
-- The deposit extends over a strike length of 470m and comprises a single
sub-vertical 330 degree trending lode. The lode is disrupted by possible
fault/shear zone that breaks up the lode into several sub-parallel
segments.
-- Mineralisation has vertical extents ranging between 395 and 265mRL.
Estimation and modelling techniques
-- Drillhole sample data was constrained within:
-- Kiziltepe: manually constructed wireframes defined by nominal
0.5g/t Au cut off.
-- Several <0.5g/t Au intervals were included to maintain geological
continuity.
-- Sample data was composited to a 1 metre downhole length using a
wireframe-intersection compositing method. Residual samples (those
composite intervals for which there was less than 50% of the composite
length) were not considered biased and hence were included in the
estimate.
-- An analysis of the grade distribution characteristics of the domain
composites for each deposit was undertaken. In each case one of the
following was identified: noticeable high grade inflection points on
log-probability graphs and/or significant gaps on disintegration plots.
-- The following top cuts were used:
Gold 15g/tAu
Silver 200g/tAg
-- Isotropic search ellipses and ranges were used.
-- The Arzu-Derya block model was constructed using a 15mE by 5mN by 10mRL
parent block size.
-- The Banu block model was constructed using a 5mE by 5mN by 5mRL parent
block size.
-- Estimation was carried out using inverse distance squared (ID2) at the
parent block scale using a three estimation pass using all available
composite.
-- A percentage model was used to report precisely the volume of material
within each block.
Moisture
-- Tonnes have been estimated on a dry basis.
Cut-off parameters
-- Indicated and Inferred Resources have been reported above a 1.0 Au
cut-off grade.
-- Banu 0.5g/t Au cut off.
Mining factors or assumptions
-- No mining factors (i.e. dilution, ore loss, recoverable resources at
selective mining block size) have been applied.
Metallurgical factors or assumptions
-- No metallurgical assumptions have been built into the resources. However,
metallurgical test work concludes that recoveries of up to 87% and 64%
for gold and silver respectively can be achieved (Tetra Tech DFS).
Environmental factors or assumptions
-- Statutory forestry permits have been approved by the Prime Ministry and
issued by the Department of Forestry for the Kiziltepe Sector of the Red
Rabbit Project.
Bulk density
-- Bulk density data was sourced from the Tetra Tech (2013) model.
-- Assigned bulk density of has been applied according to the following
table:
Prospect Solid Assigned Density
Arzu North 200 2.55
Arzu North 201 2.65
Arzu North 202 2.65
Arzu North 203 2.65
Arzu North 204 2.65
Arzu South 100 2.55
Arzu South 101 2.50
Arzu South 102 2.50
Banu 100c 2.55
Banu 200c 2.55
Banu 300c 2.55
Derya 300 2.55
Gapz 400 2.50
Gapz 500 2.50
Classification criteria
-- Mineral Resources have been classified on the basis of confidence in
geological and grade continuity using the drilling density, geological
model and modelled grade continuity.
-- Measured Mineral Resources have been defined by a search radius of 5m
-- Indicated Mineral Resources have been defined by a search radius of 5-25m
-- Inferred Mineral Resources have been defined by a search radius of 25-70m
Block Model verification
-- For each deposit, the ID2 model was validated against the input drillhole
composites for each domain by visual comparisons carried out against the
composited drillhole samples for each domain against the modelled block
grade.
Audits or reviews
-- The estimated grades were validated against average Au and Ag grade
statistics for each lode.
Discussion of relative accuracy/ confidence
-- Odessa Resources Pty Ltd place a relative accuracy of +/- 20% (and 90 %
confidence level) in the Mineral Resource estimate at the global level
for the Indicated Resources based on the estimation technique and data
quality and distribution. Inferred Resources would have a lower level of
confidence outside of this range.
Criteria
Explanation
Glossary of Technical Terms:
"Ag" the chemical symbol for silver;
"Au" the chemical symbol for gold;
"cut-off grade" The lowest grade, or quality, of mineralised material
that qualifies as economically mineable and available in a given
deposit. May be defined on the basis of economic evaluation, or on
physical or chemical attributes that define an acceptable product
specification;
"g/t" grams per tonne;
"Indicated resource" a part of a mineral resource for which tonnage,
densities, shape, physical characteristics, grade and mineral content
can be estimated with a reasonable level of confidence. It is based on
exploration, sampling and testing information gathered through
appropriate techniques from locations such as outcrops, trenches, pits,
workings and drill holes. The locations are too widely or
inappropriately spaced to confirm geological and/or grade continuity but
are spaced closely enough for continuity to be assumed;
"Inferred resource" a part of a mineral resource for which tonnage,
grade and mineral content can be estimated with a low level of
confidence. It is inferred from geological evidence and has assumed, but
not verified, geological and/or grade continuity. It is based on
information gathered through appropriate techniques from locations such
as outcrops, trenches, pits, workings and drill holes that may be
limited or of uncertain quality and reliability;
"Inverse Distance Squared" a conventional mathematical method used to
calculate mineral resources. Near sample points provide a greater
weighting than samples further away for any given resource block;
"JORC" the Joint Ore Reserves Committee;
"JORC 2004" is the previous edition of the JORC Code, which was
published in 2004. It has been superseded by JORC 2012;
"JORC 2012" is the current edition of the JORC Code, which was published
in 2012. After a transition period, the 2012 Edition came into
mandatory operation in Australasia from 1 December 2013;
"m" Metres;
"Measured resource" a part of a Mineral Resource for which tonnage,
densities, shape, physical characteristics, grade and mineral content
can be estimated with a high level of confidence. It is based on
detailed and reliable exploration, sampling and testing information
gathered through appropriate techniques from locations such as outcrops,
trenches, pits, workings and drillholes. The locations are spaced
closely enough to confirm geological and grade continuity.
"oz" Ounces;
"t" Tonnes;
"Whittle" computer software that uses the Lerch-Grossman algorithm,
which is a 3-D algorithm that can be applied to the optimisation of
open-pit mine designs. The purpose of optimisation is to produce the
most cost effective and most profitable open-pit design from a resource
block model.
Ends
Figure 1: http://hugin.info/138153/R/2006265/741269.pdf
Figure 2: http://hugin.info/138153/R/2006265/741270.pdf
This announcement is distributed by NASDAQ OMX Corporate Solutions on
behalf of NASDAQ OMX Corporate Solutions clients.
The issuer of this announcement warrants that they are solely
responsible for the content, accuracy and originality of the information
contained therein.
(MORE TO FOLLOW) Dow Jones Newswires
April 25, 2016 02:00 ET (06:00 GMT)
Source: Ariana Resources plc via Globenewswire
HUG#2006265
http://www.arianaresources.com/s/Home.asp
(END) Dow Jones Newswires
April 25, 2016 02:00 ET (06:00 GMT)
Copyright (c) 2016 Dow Jones & Company, Inc.
Ariana Resources (LSE:AAU)
Historical Stock Chart
From Mar 2024 to Apr 2024
Ariana Resources (LSE:AAU)
Historical Stock Chart
From Apr 2023 to Apr 2024
