TSX.V: WIN · 2020-02-02 · of this outcrop, similar rock returned 1.04 g/t Au suggesting...

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TSX.V: WIN

Transcript of TSX.V: WIN · 2020-02-02 · of this outcrop, similar rock returned 1.04 g/t Au suggesting...

Page 1: TSX.V: WIN · 2020-02-02 · of this outcrop, similar rock returned 1.04 g/t Au suggesting continuity of the mineralization. October 16, 2016 Eastmain announced a new discovery using

TSX.V: WIN

Page 2: TSX.V: WIN · 2020-02-02 · of this outcrop, similar rock returned 1.04 g/t Au suggesting continuity of the mineralization. October 16, 2016 Eastmain announced a new discovery using

The Best Place to Find a Mine Is Next to a Mine!CARDS is a state-of-the-art computer system used by researchers at Windfall Geotek to identify areas with a high statistical probability of containing mineral deposits. The backbone of CARDS is the MCubiX-KE (Knowledge Extraction) data mining engine.

MCubiX-KE uses pattern recogni t ion a lgor i thms to learn the s ignatures of posi t ive and negat ive data points and create a model that can make predict ions on the posi t ive or negat ive nature of new data points . CAR DS uses these powerfu l a lgor i thms to analyze dig i ta l ly compi led h istor ica l explorat ion data and ident i fy zones with a h igh potent ia l for thediscovery of minera l deposi ts .

Data is entered into CARDS in the form of a geo-referenced database. Each point in the database is linked to its own set of characteristics extracted from geophysical surveys, drill & rock samples assays, geological maps, etc.

THE CHARACTERISTICS INCLUDE:

• Geophysics (Mag and EM, etc.),• Chemical Assay Results (drill

holes/rock samples), Geochemical• Surveys (lake sediment/soil/till),• Geology (faults, lineaments, lithology,

alteration minerals, etc.) and• Topography (DTM, DEM and SRTM).• Satellite imagery: (Lineaments/stress, alterations

radiance, geobotany)

THE DATA IS THEN DIVIDED INTO TWO DATABASES:

1 . T h e f i r s t i n c l u d e s a l l p o i n t s w i t h k n o w n m e t a l a s s a y r e s u l t s ( d r i l l h o l e / r o c k s a m p l e s d a t a ) a n d i s u s e d t o d e v e l o p t h e m o d e l o f t h e g e o l o g i c a l t a r g e t y o u a r e s e e k i n g . F o r e x a m p l e , t h em o d e l c o u l d b e u s e d t o i d e n t i f y t a r g e t sc o n t a i n i n g g r e a t e r t h a n 5 g / t A u .

2 . T h e s e c o n d d a t a b a s e i n c l u d e s a l lp o i n t s w i t h n o a s s a y r e s u l t s .

Th e c o m p l e x a l g o r i t h m s o f M C u b i X- K E a r e t h e n u s e d t o i d e n t i f y t h o s e p o i n t s t h a t h a v e a h i g h s i m i l a r i t y t o t h e s i g n a t u r e s o f

p o s i t i v e m i n e r a l d e p o s i t s . I n a d d i t i o n , i n t h e a n a l y s i s o f e a ch p o i n ti n t h e d a t a b a s e , t h e ch a r a c t e r i s t i c s o f a l l p o i n t s w i t h i n a s p e c i f i e d d i s t a n c e o f t h e p o i n t , o r n e i g h b o u r h o o d , a r e w e i g h e d i n t o t h e e v a l u a t i o n o f t h a t p o i n t . I n t h i s m a n n e r , p o i n t s l a ck i n g d a t a c a n s t i l l b e e f f e c t i v e l y e v a l u a t e d b y CA R D S i f t h e c o m b i n a t i o n o f t h e i r l i m i t e d ch a r a c t e r i s t i c s a n d t h e i r p r ox i m i t y t o p o i n t s w i t h o t h e r s i g n i f i c a n t ch a r a c t e r i s t i c s i s s i m i l a r t o t h a t o f p o i n t s i n t h e s y s t e m w i t h k n o w n p o s i t i v e r e s u l t s .

F u r t h e r m o r e , u n l i k e t h e r u l e - b a s e dc o m p u t e r m o d e l s o f t h e p a s t , C A R D S i sn o t b i a s e d b y t h e r u l e s o f a n y p a r t i c u l a rg e o l o g i c m o d e l . I n f a c t , b e c a u s e o fC A R D S a b i l i t y t o l e a r n a n d m a k ep r e d i c t i o n s b a s e d o n t h e s i g n a t u r e s o fm u l t i p l e p o s i t i v e d a t a p o i n t s o f v a r y i n gc h a r a c t e r i s t i c s , C A R D S c a n m a k ep r e d i c t i o n s o n a n y g e o l o g i c a l d e p o s i tt y p e r e p r e s e n t e d i n t h e d a t a s e t .

Note: Targets generated by CARDS should be evaluated in conjunction with all readily available geological data in the evaluation of the economic potential of the property as well as in the outlining of exploration and drill targets.

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THE CARDS PROCESS FOLLOW THESE FOUR STEPS:

1. DATA GATHERING & PROCESSING CARDS IS NOT A GIS SOFTWARE• Combines different map formats such as ArcGIS, Oasis, Montaj and Maplnfo.• Combines different layers of data for mineral exploration.• Project must have at least 30-40 drill holes/rock samples.• Can do baseline work with 15 drill holes/rock samples (The more drill holes/rock samples the better).• Included are the (x,y) coordinates of the multiple layers of geophysics, geochemistry, topography, satellite,

geology, faults, spatial data, etc...• By combining various data types, data utilization is optimized and prediction is maximized.• You must put good information in / to get good information out (garbage in / garbage out!)

2. MODEL SET UP (LOCAL ORE DEPOSIT SIGNATURE LEARNING) CARRIED OUT BY EXTRACTING THE SIGNATURE OF EACH DRILL HOLE/ROCK SAMPLE—BOTH POSITIVE AND NEGATIVE—(DRILL HOLES/ROCK SAMPLES DNA):

• Can be done with apatite, diamond, U, Ni, Cu, Zn, AU, AG, Pg, Pd• The +/- designation is given by the geologist working on the original property.• Raw data is transformed into grid data.

DNA IS BUILT BY SAMPLING (CATALOGING) TARGET +/- DRILL HOLES/ROCK SAMPLES AND NEIGHBORHOOD DRILL HOLES/ROCK SAMPLES:• The neighborhood size is calculated based on flight lines spacing’s of any airborne geophysics

survey data over area -i.e. -200 m flight lines means neighborhood size is ~ lsO-17sm (centered around target drill hole/rock sample).

• This is so the system is only using the data from around each individual +/- drill hole/rock sample (not overlapping onto other flight lines).

• This system does not interpolate data (interpolation is done by geophysicians).• This system does not extrapolate or invent data.

Millions of spatial data points and their relationships are analyzed.

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3. PREDICTION (DATA MINING)IDENTIFICATION OF HIGH POTENTIAL AREAS:

• Algorithms analyze each layer of information for every +/- drill holes/rock samples to create a new signature-for the mineralization that is being sought (gold, copper, kimberlites etc.).

• Uses MCubiX data mining engine (with numerous different algorithms) to find patterns of information between +/- drill holes/rock samples.

• The system uses algorithms to find the new patterns — there is no human influence.• Finds patterns invisible to the naked eye.• System shows where the new mineralization signature will be in clients exploration area.• Predictions are given a % cells rating: Targets over 80% are considered good and targets 90% and

higher are best.• Millions of spatial data points and their relationships are analyzed — in a rather short period of time —

something that a human brain cannot do as ef efficiently and quickly as a computer.• System is trained and “cross validated” on each model that CARDS generates.• % cells feature “weeds” out unwanted (low %cells) targets and leave only the highest probability areas to find

mineralization, which in some examples is as low as 5% of total original project area.• This system interprets data and generates models and predictions from that data interpretation.

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4. PRESENTATIONMAP RENDERING OF POTENTIAL ORE ZONES:

• This system is prone to find shallow mineralization (considering that most airborne surveys have shallow penetration).

• It can be very useful to find deeper mineralization but would have to be used in conjunction with a deep penetrating airborne survey.

• Useful to find buried mineralization (shallow or deep).• CARDS target discoveries are: gold, copper, kimberlite (diamond), nickel, zinc, lead,

uranium & molybdenum.• Outputs can be easily integrated to different map formats such as ArcGIS, Maplnfo and GeoSoft.

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POSITIVE RESULTSPROOF OF VALIDITY OF CARDS

December 6, 2019

Playfair mining expands its copper project efforts on targets predicted by cards ai technology.

Brossard, Quebec / The Newswire / December 6, 2019 – Windfall Geotek (TSX-V: WIN) is pleased to announce that Playfair Mining Ltd. (“Playfair Mining” (Venture TSX: PLY) has received their latest MMI results that confirm the presence of a very significant copper anomaly on its RKV Property in Norway and that they intend to move rapidly to drilling with confidence.

The Storboren Copper Anomaly is at least 200m long and 75m wide. It is open to the NW and SE where no MMI samples have been taken. MMI Cu values as high as 53,300ppb were found in recent follow-up sampling surpassing the previous high of 48,400ppb MMI Cu which, according to a short report by SGS, is “one of the highest recorded values of MMI Cu in a soil in 20 years”. “Many, if not all of these, are likely to be associated with weathering copper sulphides”. “We are ecstatic to see our partner, Playfair Mining, obtain such significant results that once again prove the reliability of our AI approach. We have no doubt that this will create a buz for us.

March 1st, 2019

Spruce Ridge Announces a Significant Nickel, Cobalt, Palladium and Platinum Discovery Near Timmins

Discover Hole (18-01) Intersected 291m assaying 0.293% Ni, 118 ppm Co, .02 g/t Pd and .011 g/t Pt • Drill Holes 03 and 04 Ended in Mineralization with Increasing Grade Spruce Ridge Resources Ltd. (TSX-V SHL) –(“Spruce Ridge” or the “Company”) is pleased to announce the results of its 2018 winter drill program on the Crawford nickel project near Timmins, Ontario. Four holes totalling 1,818 metres were drilled on the Crawford Ultramafic Complex. Three of the holes intersected serpenti-nized dunite with persistent nickel values greater than 0.25% Ni over core lengths of up to 291 metres. Using a lower threshold of 0.20% Ni, long intervals are present in all four holes, with a maximum core length of 558 metres. Individual samples of 1.5 metre core intervals reported up to 0.669% Ni. The target was de-fined by a helicopter-borne magnetic and electromagnetic survey and an airborne gravity survey, both conducted over of the entire project area of 100 sq. km. An Artificial Intelligence (A.I.) review of data, provided by Albert Mining Inc. (TSX-V AIIM) (Now known as Windfall Geotek), also identified the area as being prospective for nickel.

September 12, 2018

As predicted by Windfall Geotek services’ AI technology, Falco Resources hit new gold showing

Ottawa, Ontario / The Newswire / September 12, 2018 – Albert Mining Inc. (the "Company" or “Albert Mining” ( Now Windfall Geotek) (TSX-V:

AIIM) is pleased to announce that Falco Resources published on September 10, 2018 a number of new gold showings discovered through use of Albert Mining’s AI Technology in the Rouyn Noranda Mining camp.

In December 2017, Falco appointed Albert Mining Inc. to analyze historical data in the Rouyn-Noranda mining camp using their pattern recognition algorithms (“CARDS”). The AI software learned the signatures of positive and negative gold and base metals targets and identified new targets with a high discovery potential. Fifty anomalies in gold (15), copper (13), zinc (11) and silver (11) were identified. These anomalies were grouped into 11 exploration areas.

One of the most interesting area is the Four Corners property where a new showing was identified near a CARDS target and following field work. A grab sample, composed of felsic volcanic rock strongly hematized with quartz veinlets and 1-3% pyrite, returned 9.53 g/t Au. From eight additional samples collected on the same 5 meter x 10 meter outcrop, seven samples returned grades over 1g/t Au (ranging from 0.11 g/t Au and 5.07 g/t Au, figure 2). At about 100 meters to the NNE in extension of this outcrop, similar rock returned 1.04 g/t Au suggesting continuity of the mineralization.

October 16, 2016

Eastmain announced a new discovery using CARDS

Ruby Hill West Prospecting

The new discovery includes four values of 18.2 g/t Au, 1.68 g/t Au, 0.28 g/t Au and 0.18 g/t Au. Two other gold samples were found approximately 200 m ENE with grades of 3.71 g/t Au and 2.59 g/t Au. These grab samples are along strike of the new gold showing and indicate a potential lateral continuity of the new discovery, with EXKO.

The gold mineralization is associated with arsenopyrite and is hosted in a silicified mafic volcanic layer locatedimmediately north of an ultramafic sequence. The maficultramafic lithology trends east-northeast along the central axis of the Ruby Hill West property.

Also during the prospecting program, grab samples were taken from a spodumene-bearing pegmatite dyke exposed over 60 m by 25 m, located approximately 40 km WSW of the East-main Mine deposit. Four samplesreturned values ranging from 0.50% to 2.19% Lithiumwith very anomalous Tantalum, Cesium and Rubidiumvalues. This spodumene bearing pegmatite, present in the western part of the Ruby Hill West claim block, is also located in contact with ultramafic rocks suggesting thatthe dyke may be emplaced along a major fault structure often associated with the presence of ultramafic sequences.

The 2016 Prospecting campaign was carried under the supervision of the Eastmain team, as a field phase of a CARDS (Computer Aided Resources Detection System) study completed earlier this year by Diagnos Inc. Field work by Diagnos was supplemented with additional prospecting by Eastmain geologists.

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February 26, 2013

Puma exploration found impressive resultson the Diagnos Mining Division CARDScopper-zinc targets located south of theTurgeon Cu-Zn deposit, New Brunswick

32 samples revealed interesting results in the majority of the surface targets generated by Diagnos Mining Division. Three (3) areas of interest were observed with a new discoveryof copper for a total of 16 samples with values ranging from 0.2% to 6.9% Cu. For now, according to the extent of the results, the area is 50m long by 10m wide.

This new mineralized zone is composed of quartz veins with sulfides in a silicified gabbro:• Area 1: 6.92% Cu, 3.76% Cu, 3.28% Cu,2.87% Cu,

2.78% Cu, 1 .86% Cu (6 samples)• Area 2: 143 g/t Ag, 3.92% Pb

and 1.39% Zn (1 sample)• Area 3: 0.21 g/t Au, 0.65% Cu (1 sample)

September 13, 2011

Gold sample assays up to 20.1 g/t, on targetsidentified by DIAGNOS MINING DIVISION CARDS technology

Working in tandem with CRESO personnel, DIAGNOS MINING DIVISION geologists sampled quartz veins in shear zones at the Gibson property, located in the West Shining Tree district of Northeastern Ontario. From 112 locations, six of which returned assays above 1 g/t Au, including higher grade assays upto 20.1 g/t Au, 10.7 g/t Au, and 7.16 g/t Au.

August 9, 2011

Typhoon Exploration Inc. did a new discovery in an unexplored area usingCARDS - 3D technology

Hole FAX-11-22, located in an unexplored area using CARDS-3D technology from Diagnos Mining Division, has generated several mineralized intersec-tions between 211 and 253 meters, including one of 1.2 g/t Au over 1 meter, in a highly anomalous interval of 11 meters.

November 2nd, 2010

Impressive results of gold in a new undiscovered zone at Bachelor/Hewfran

Metanor Resources (“METANOR”) announced impressive results on the CARDS gold targets on a potential gold zone (Zone 3) commencing at surface situated 2.0 km from the Bachelor Lake Mill and the grab samples greater than 10 g/t were found only 2 to 10m from the road leading to the mill.

This new mineralized zone is composed of quartz veins in an East-West orientated shear zone. The best results obtained were as follows:• Sample # 867355: 11.05 g/t Au• Sample # 867356: 11.03 g/t Au• Sample # 867359: 14.80 g/t Au

June 30, 2010

SPIDER and KWG discover a new kimberlite on a target identified by DIAGNOS MINING DIVISION’S CARDS

SPIDER and KWG announced the discovery of a new kimberlite using DIAGNOS MINING DIVISION’S CARDS system which was used to find and prioritize exploration targets. A new kimberlite deposit was found at a depth between 35 and 111 metres and is now referred to as Kyle #6. It was hidden beneath 35 metres of Paleozoic carbonate cover rock including limestone and dolomite, located on the west side of the “Ring of Fire” exploration area. We are awaiting the laboratory’s results.

October 30, 2007

DIAGNOS MINING DIVISION’S targets return great results with 42.7 g/t of gold on 6 meters and significant nickel’s anomalies on SGH S.A.’s Faille B property in Haiti

Within the framework of a program aiming to extend gold reserves of SGH’s Faille B deposit, DIAGNOS MINING DIVISION has used helicop-ter-borne geophysical data (MAG, FDEM, radiome-tric) to develop a CARDS model for gold, copper and nickel’s mineralization. Soil samples, located in-line with the Faille B structure, have shown significant anomalies for gold:• 508 ppb of gold on target C2• 362 ppb of gold on target C3• 308 ppb of gold on target C5

October 18, 2007

Noront Discovery: Double eagle discovery identified for KWG by 2005 DIAGNOS MINING DIVISION’S study

CARDS was used in 2005 in a study of the McFauld Lake area data on behalf of KWG Resources Inc. The study premised that a high priority target for base metal concentration was indicated at the precise coordinates of Noront’s discovery, announced earlier in September of this year.

May 14, 2005

Juina Brazil, Diagem Corp.: 5 Kimberlites discovered using CARDS

A comprehensive analysis of DIAGEM’s Juin a Brazil Project by CARDS reduced the number of potential targets from 1000 to the 27 of the highest potential. Of those 27 targets, DIAGEM drilled 6 and 5 kimberlites were discovered.

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OUR PARTNERS & CLIENTS

CONTACT USFor additional information on how CARDS can work for you, contact Mr. Michel Fontaine at 450 678-8882 ext. 222 or by Email: [email protected]: 514 994-5843.7005 Taschereau Blvd, Suite 340 Brossard, Quebec J4Z 1A7, CANADA