Welcome!

News Feed Item

Giyani Receives Positive Metallurgical Results For Its K.Hill Prospect

OAKVILLE, ONTARIO -- (Marketwired) -- 12/07/17 -- Giyani Metals Corporation (TSX VENTURE:WDG)(FRANKFURT:KT9) ("Giyani" or the "Company") has received positive metallurgical testing results, performed by Dalhousie Minerals Engineering Centre in Halifax, Nova Scotia, Canada, from the manganese oxide bearing rocks sampled at the K.Hill Prospect, the first of three potential deposits within the Kanye Manganese Project in Botswana.

Of significance, manganese nodule type material, abundant at K.Hill, can be easily treated using a trammel/gravity/washing process. Manganese found in staining and veins environments suggest only a light grind is required making it physically amenable to hydrometallurgical processes. Hydrometallurgical processing takes the product to a grade higher than 99.7% manganese in the form of electrolytic manganese dioxide (EMD) suitable for the battery industry.

Robin Birchall CEO of Giyani said, "I am very pleased with the results of these tests. They vindicate the approach the Company has taken to pursue the high value battery market. We look forward to continuing our exploration and test work in Botswana at our deposits and hope to have further supportive good news in the near future".

In detail, the results indicate manganese minerals at K.Hill occur in three forms:

--  Staining on the silicates, iron oxides and themselves. 
--  Small veins, as manganese oxides deposited on each other 
--  Nodules wherein the manganese has built-up into botrydal masses that may
    contain other minerals 

This supergene mineralogy is complex as there are many oxidation states of manganese and a variety of other metals are present.

These results, however, are positive indications that the percentage of deleterious elements in the rock does not affect quality or recovery. For example, Kaolin is present in one layer of the manganese bearing rock tested. This mineral has a smaller particles size and is found in veins; thus, should not present a problem during processing. Iron oxides are also found which is normal in manganese ores.

It is recommended that additional testing be performed to determine the recovery of manganese nodules through a screening, washing and/or gravity separation system and that the remainder of the manganese be tested for recovery and purity using hydrometallurgical processes.

--  Dump Material: hydrometallurgy tests to determine potential recovery. It
    is unlikely that grinding will be required on this material. However,
    grinding should be done on a second iteration of these tests to
    determine if recoveries can be improved. 
--  Manganese-Iron Altered Shales: Size reduction to the range of 100-300
    micrometers followed by hydrometallurgical testing to determine
    potential recovery of the manganese. 
--  Manganese Shales with Kaolin: this material is similar to the Manganese-
    Iron altered shales with the potential of a smaller required grind size
    and the presence of Kaolin. If Kaolin is detrimental to the
    hydrometallurgy a course grind should be performed at sizes larger than
    a millimeter, followed by a washing to remove the kaolin prior to size
    reduction to the 100 - 300 micrometers final size. 
--  Manganese altered Silicates: This has a low grade of manganese. However,
    some of the manganese occurs in larger veins and could be separated with
    a course grind followed by leaching and hydrometallurgy. 

Examples of the manganese minerals found in the samples are shown in Table 1.

Table 1: Manganese minerals identified in the K.Hill samples

----------------------------------------------------------------------------
Name         Lustre      Colour       Hardness Tenacity Density   MnO Grade 
----------------------------------------------------------------------------
Cryptomelane Earthy      Brown-gray   5-6.5    Brittle  4.17-4.41 60%       
----------------------------------------------------------------------------
Hausmannite  Resinous    Brown-black  5.5      Brittle  4.83-4.85 72%       
----------------------------------------------------------------------------
Hollandite   Metallic    Silver-Black 4-6      Brittle  4.95      52.8%     
----------------------------------------------------------------------------
Psilomelane  submetallic Iron black   5-6      Brittle  4.7       48.8%     
----------------------------------------------------------------------------
Pyrolusite   Varies      Black-gray   2-6.5    Brittle  5.04-5.08 63.2%     
----------------------------------------------------------------------------
Jacobsite    Resinous    Brown-Black  5.5-6.5  Brittle  4.76      23.8%     
----------------------------------------------------------------------------
Coronadite   Varies      Gray-Black   4.5-5    Brittle  4.2-4.5   48.7%     
----------------------------------------------------------------------------

The Bond Work Index for power requirements, to crush and grind manganese ore, ranges from 12 to 16 kWhr/tonne, but when grinding only to exposure can be as low as 6 kWhr/tonne. This is an approximation of the power required to break the rock from an infinite size to 100 micrometers.

Metallurgical testing was performed on samples collected from the K.Hill Prospect in Botswana in August and September of 2017 by Dr. Ian M. Flint, Ph.D., P.Eng. These samples were shipped to Dalhousie university in Nova Scotia, Canada, where sectioned mineralogy work was done on thin sections randomly taken from the samples using an electron microprobe and an optical mineralogical microscope. Dr. Flint supervised each stage of the work, including from the site, and ensured the chain of custody of the samples.

Ian Flint, Ph.D., P.Eng, is the qualified person, as that term is defined by National Instrument 43-101, on behalf of the Company and has approved the scientific and technical content contained in this press release.

Additional information and corporate documents may be found on www.sedar.com and on Giyani Metals Corp. website: http://giyanimetals.com/.

On behalf of the Board of Directors of Giyani Metals Corp.

Duane Parnham, Executive Chairman

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 news release.

Forward-Looking Statements

This news release may contain forward-looking statements including but not limited to comments regarding the timing and content of upcoming work programs, geological interpretations, receipt of property titles, potential mineral recovery processes, the financial picture of the Company etc. Forward-looking statements address future events and conditions and therefore, involve inherent risks and uncertainties. Actual results may differ materially from those currently anticipated in such statement.

Contacts:
Giyani Metals Corp.
Robin Birchall
CEO - Director
+447711313019
[email protected]

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.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
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...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
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 ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
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...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
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...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
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.