Welcome!

Microsoft Cloud Authors: Pat Romanski, Liz McMillan, Lori MacVittie, Elizabeth White, Yeshim Deniz

News Feed Item

Golden Reign Outlines High-Grade Initial Resource of 95,000 Indicated Gold Equivalent Ounces and 805,000 Inferred Gold Equivalent Ounces at San Albino Mine Area, Nicaragua

VANCOUVER, BRITISH COLUMBIA -- (Marketwire) -- 11/20/12 -- Golden Reign Resources Ltd. (TSX VENTURE:GRR) (the "Company" or "Golden Reign") is pleased to announce an initial mineral resource estimate from the first 15 months of drilling completed the San Albino Mine area of its San Albino-Murra Property (the "Property"), Nicaragua.

Highlights:

--  Indicated resources of 95,000 ounces gold equivalent at 8.47 g/t
    contained in 348,000 tonnes using 0.5 g/t open pit and 1.5 g/t
    underground gold equivalent cut-offs 
--  Inferred resources of 805,000 ounces gold equivalent at 7.43 g/t
    contained in 3,371,000 tonnes using 0.5 g/t open pit and 1.5 g/t
    underground gold equivalent cut-offs 
--  Mineral resources are at shallow depth, within approximately 300 metres
    from surface 
--  Potential to add resources through additional in-fill and step-out
    drilling. An Exploration Target beyond the resource estimate (along
    strike and down dip) has been identified with an estimated 3 to 5
    million tonnes at a grade between 6 to 10 grams gold equivalent per
    tonne. The potential quantity and grade of the Exploration Target is
    conceptual in nature, there has been insufficient exploration to define
    a mineral resource, and it is uncertain if further exploration will
    result in discovery of a mineral resource

Only 0.6 square kilometres of the 2 square kilometre San Albino Mine area has been drill tested. All mineralized zones remain open at depth and along strike in both directions.

Golden Reign is very encouraged by this initial resource calculation, which provides a cornerstone from which it can grow, adding additional potential resources in the San Albino Mine area and from numerous regional targets currently being assessed within its much larger 138 square kilometre land package.

Since first optioning the Property on June 26, 2009, the Company has made rapid progress, drilling 15 out of the 36 months (41%) spent working on the project. In addition, Golden Reign has successfully:

--  earned an initial 80% interest in and to the Property approximately 1.5
    years in advance 
--  acquired the remaining 20% interest in and to the Property 
--  outlined an initial resource calculation via exploration drilling in an
    area substantially untested by prior drilling or other modern
    exploration techniques.

Resources

----------------------------------------------------------------------------
       Cut-off                                                        
         grade                                                              
          (g/t Classifi-              Au      Au    Ag      Ag  AuEq    AuEq
         AuEq)  cation      Tonnes (g/t)  ounces (g/t)  ounces (g/t)  ounces
----------------------------------------------------------------------------
Open-      0.5 Indicated   247,000  9.00  71,000  10.8  86,000  9.18  73,000
 pittable  0.5 Inferred    682,000  8.25 181,000  10.7 234,000  8.42 185,000
Under-     1.5 Indicated   101,000  6.59  21,000   9.7  31,000  6.76  22,000
 ground    1.5 Inferred  2,689,000  7.00 605,000  10.6 912,000  7.17 620,000
----------------------------------------------------------------------------
Mineral Resource Estimate Notes and Parameters:                             
 1. Mineral Resource estimates are based upon an October 31, 2012 two year  
    trailing average gold price of US$1,592 per ounce, a 95% recovery rate, 
    bulk density of 2.8 t/m3, open-pit mining costs of US$3 per tonne, pit  
    slopes of 45 degrees, underground mining costs of US$48 per tonne,      
    milling costs of US$20 per tonne, and general and administrative costs  
    of US$5 per tonne;                                                      
 2. Mineral Resources are not Mineral Reserves and do not have demonstrated 
    economic viability.There is no certainty that all or any part of the    
    Mineral Resources estimated will be converted into Mineral Reserves;    
 3. The estimate of Mineral Resources may be materially affected by         
    environmental, permitting, legal, title, taxation, socio-political,     
    marketing, or other relevant issues, although the Company is not aware  
    of any such issues;                                                     
 4. The quantity and grade of reported Inferred resources in this estimation
    are uncertain in nature and there has been insufficient exploration to  
    define these Inferred resources as an Indicated or Measured mineral     
    resource and it is uncertain if further exploration will result in      
    upgrading them to an Indicated or Measured mineral resource category.   
 5. Gold Equivalent was calculated on the basis of 1 gram gold = 60 grams   
    silver.                                                                 

The San Albino resource model consists of three flatly dipping, high grade, narrow vein systems over a strike length of 850 metres, down dip extension of 925 metres, with a minimum true width of one metre and average true width of 2.6 metres. Grade capping varied from no capping to 100 g/t depending on the vein system. All silver assays were capped at 100 g/t. Inverse distance cubed grade interpolation was on 2m x 2m x 6m blocks utilizing Gemcom. 166 of 201 drill holes and trenches on the Property were utilized in the resource estimate calculation.

The resource estimate was completed by P & E Mining Consultants Inc. ("P&E") of Brampton, Ontario, Canada. P&E prepared a mineral resource estimate for the San Albino Mine area in accordance with the Canadian Securities Administrators ("CSA") National Instrument 43-101 ("NI 43-101") and resources have been estimated using the Canadian institute of Mining, Metallurgy and Petroleum (CIM), CIM Standards on Mineral Resources and Reserves, Definitions and Guidelines prepared by the CIM Standing Committee on Reserve Definitions and adopted by CIM Council.

The Mineral Resource estimates in this news release were prepared by Eugene Puritch, P.Eng. and Antoine Yassa, P.Geo. of P&E, each an independent qualified person, as defined by NI 43-101. Mr. Puritch has reviewed and approved the contents of this news release.

An independent NI 43-101 compliant technical report relating to the initial Mineral Resource estimate for the San Albino Mine area will be filed on SEDAR within 45 days of this news release.

Quality Assurance

The Company's rigorous QA/QC program utilizes best industry practices, involving insertion of appropriate standards, blanks and field duplicates. All drill holes were sampled on at most a 1.0 metre interval within the mineralized zones, with drill core split on site and one half then being transported to the Inspectorate America Corporation ("Inspectorate"), a certified USA based laboratory (UKAS, NAMAS, STERLAB, ISO 17025), preparation facility in Managua. The samples were then transferred to Inspectorate's analytical laboratory in Richmond, British Columbia, Canada. Duplicate samples were also sent to Acme Analytical Laboratories Ltd. in Vancouver, British Columbia, Canada, for comparative analysis. Gold and silver analyses were carried out by fire assay. In addition, for samples assaying greater than 1 g/t gold, check assays were also carried out by the metallic screen method to verify high-grade sample assays obtained by fire assay and to minimize gold nugget effect.

Golden Reign's Qualified Person

John M. Kowalchuk, P.Geo, a geologist and Company qualified person (as defined under NI 43-101) has read and approved the technical information contained in this news release on behalf of the Company.

On behalf of the Board,

Kim Evans, CGA, President & CEO

About Golden Reign:

Golden Reign Resources Ltd. is a publicly listed (TSX VENTURE:GRR) mineral exploration company engaged in exploring the San Albino-Murra Property and the El Jicaro Property, both of which are located in Nueva Segovia, Nicaragua. Both properties are held 100% by the Company, with no NSR ("Net Smelter Royalty") other than that payable to the Nicaraguan government pursuant to existing mining laws.

The Company's land package comprises 13,771 hectares (138 km2) of highly prospective ground. Hundreds of historical mines and workings exist within the Corona de Oro Gold Belt, which is approximately 3 kilometres wide by 20 kilometres long and spans the entirety of the Company's land package.

For additional information please visit our website at www.goldenreign.com and SEDAR www.sedar.com.

Forward-Looking Statements: Some of the statements contained herein may be forward-looking statements which involve known and unknown risks and uncertainties. Such forward-looking statements are subject to a variety of risks and uncertainties which could cause actual events or results to differ materially from those reflected in the forward-looking statements, including, without limitation, risks and uncertainties relating to political risks involving the Company's exploration and development of mineral properties interests, the inherent uncertainty of cost estimates and the potential for unexpected costs and expenses, commodity price fluctuations, the inability or failure to obtain adequate financing on a timely basis and other risks and uncertainties. Such information contained herein represents management's best judgment as of the date hereof, based on information currently available.

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

Contacts:
Golden Reign Resources Ltd.
Kim Evans, CGA
President & CEO
(604) 685-4655 or Toll Free: 1-888-685-4655
(604) 685-4675 (FAX)
www.goldenreign.com

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...