Welcome!

News Feed Item

Banro Announces a Mineral Reserve Estimate at its Namoya Gold Mine, Democratic Republic of the Congo

- Banro's total Proven & Probable Mineral Reserves now 2.36 Moz Au

TORONTO, ONTARIO -- (Marketwired) -- 03/27/14 -- Banro Corporation ("Banro" or the "Company") (NYSE MKT: BAA)(TSX: BAA) is pleased to provide a Mineral Reserve estimate for its Namoya gold mine and an updated Mineral Resource and Mineral Reserve estimate for its Twangiza gold mine, both of which are located along the 210 kilometre Twangiza-Namoya gold belt in the Democratic Republic of the Congo ("DRC"). The 2013 year-end review of Mineral Resources and Mineral Reserves at the Company's four core projects - Twangiza, Namoya, Lugushwa and Kamituga - has resulted in positive growth in overall Mineral Reserves as a result of the conversion of Namoya Mineral Resource into Mineral Reserves.

Highlights


--  The Namoya 1.34 Moz Proven & Probable Mineral Reserves represent
    conversion of 73% of the 1.83 Moz Measured and Indicated Mineral
    Resources.
--  Including the Mineral Reserve estimate at Namoya, Banro's total Proven &
    Probable Mineral Reserves have increased by 53% to 2.36 million ounces
    ("Moz") of gold (using a US$1,200/oz gold price).
--  At Twangiza, the Proven & Probable Mineral Reserve estimate has
    decreased by 33% to 1.03 Moz, due to a drop in gold price, some mining
    depletion, and an increase in estimated costs (20.2% due to gold price,
    6.5% due to depletion and 6.3% due to estimated costs)
--  At Lugushwa, the Indicated Mineral Resource consisting solely of oxide
    material remained 0.73 Moz. Lugushwa's Inferred Mineral Resource is now
    3.53 Moz, of which 0.31 Moz is oxide material. This represents a 27.6%
    reduction in the total inferred resource of 4.88 Moz, reported in the
    Company's January 31, 2013 press release (of which 0.40 Moz was oxide).

During 2013, the Company scaled down its exploration activities at its Twangiza, Namoya, Lugushwa and Kamituga projects and focused on mine construction at Namoya and plant expansion at Twangiza. In order to consolidate Banro's position on the various exploration sites, limited exploration activities are planned for 2014 using small teams focused on generating new oxide targets in Lugushwa and Kamituga.

Banro's Mineral Resources and Mineral Reserves disclosed in this press release are reported in accordance with National Instrument 43-101 (Standards of Disclosure for Mineral Projects), which incorporates by reference the CIM Definition Standards on Mineral Resources and Mineral Reserves. The Mineral Resources reported in this press release are inclusive of the Mineral Reserves component.

Mineral Resource and Mineral Reserve Declaration at December 31, 2013

Table 1: Mineral Resources


----------------------------------------------------------------------------
Mine/Project/Category                             Tonnes     Grade      Gold
                                                    (Mt)  (g/t Au)     (Moz)
----------------------------------------------------------------------------
Twangiza (Oxide)
----------------------------------------------------------------------------
Measured                                            6.56      2.62      0.55
----------------------------------------------------------------------------
Indicated                                           9.00      1.89      0.55
----------------------------------------------------------------------------
Measured & Indicated                               15.56      2.21      1.10
----------------------------------------------------------------------------
Inferred                                            1.27      1.35      0.06
----------------------------------------------------------------------------


----------------------------------------------------------------------------
Twangiza (Transition & Fresh)
----------------------------------------------------------------------------
Measured                                            5.97      2.23      0.43
----------------------------------------------------------------------------
Indicated                                          92.87      1.43      4.26
----------------------------------------------------------------------------
Measured & Indicated                               98.85      1.48      4.69
----------------------------------------------------------------------------
Inferred                                           12.10      1.22      0.47
----------------------------------------------------------------------------


----------------------------------------------------------------------------
Namoya (Oxide, Transition & Fresh)
----------------------------------------------------------------------------
Measured                                           23.75      1.98      1.51
----------------------------------------------------------------------------
Indicated                                           6.03      1.62      0.31
----------------------------------------------------------------------------
Measured and Indicated                             29.78      1.91      1.83
----------------------------------------------------------------------------
Inferred                                            6.52      1.61      0.34
----------------------------------------------------------------------------


----------------------------------------------------------------------------
Lugushwa (Oxide)
----------------------------------------------------------------------------
Indicated                                          16.91      1.35      0.73
----------------------------------------------------------------------------
Inferred                                            6.17      1.56      0.31
----------------------------------------------------------------------------

----------------------------------------------------------------------------
Lugushwa (Transition & Fresh)
----------------------------------------------------------------------------
Inferred                                           65.01      1.54      3.22
----------------------------------------------------------------------------


----------------------------------------------------------------------------
Kamituga
----------------------------------------------------------------------------
Inferred (Surface)                                  4.14      2.40      0.32
----------------------------------------------------------------------------
Inferred (Underground)                              3.12      6.00      0.60
----------------------------------------------------------------------------


----------------------------------------------------------------------------
TOTAL MEASURED AND INDICATED                      161.10      1.61      8.35
----------------------------------------------------------------------------
TOTAL INFERRED                                     98.32      1.68      5.32
----------------------------------------------------------------------------

Mineral Resource

Banro's total Measured & Indicated (M&I) Mineral Resources have decreased 18% to 8.35 Moz (December 31, 2012: 10.18 Moz), and Inferred Mineral Resources have decreased 24% to 5.32 Moz (December 31, 2012: 7.01 Moz). The reduction in the Mineral Resource is mainly attributed to changes in economic assumptions, key among which is the drop in gold price, and depletion of resource due to mining. The Mineral Resource estimate discussed in this press release consists of in situ Mineral Resources at a 0.4g/t Au (Namoya) and 0.5g/t Au (Twangiza and Lugushwa) Au cut-off constrained within a US$1,600 per ounce (2012: US$2,000 per ounce) optimized pit shell.

The underground Mineral Resources at Kamituga are those situated below the Mobale open pit, estimated using historical underground information at a cut-off grade of 1.5g/t Au. The Mineral Resource estimate for Kamituga was prepared by SRK (UK) using historical data and was included in the February 2005 NI 43-101 technical report prepared by SRK (UK) for Banro. These estimates have not been updated. Since 2011, Banro has carried out extensive exploration, including drilling, to verify the historical results. Any additional work initially planned to update the Kamituga resource was deferred when the strategic focus shifted to mine development at the Namoya mine and the process plant expansion at the Twangiza mine.

Below are the key assumptions, parameters and methods used to estimate the Twangiza, Lugushwa and Namoya Mineral Resources:


--  Wireframing was restricted to borehole intersections above a 0.3 to
    0.5g/t Au cut-off grade for Lugushwa and 0.4g/t Au for Namoya and
    Twangiza;
--  Gold grades have been determined using Ordinary Kriging interpolation
    into a 3-Dimensional block model constrained by mineralization
    wireframes;
--  The mineralization models were constrained within the wireframe with
    primary block dimensions of 20 metres N-S (along strike), 20 metres E-W
    (across strike) and 10 metres in the vertical direction;
--  Estimation used dynamic anisotropy;
--  Datamine Studio 3TM was the modelling package; and
--  At all times, the relationship between geology and mining and economic
    factors was taken into account.

Drill cores for assaying were taken at a maximum of one metre intervals and were cut with a diamond saw with one-half of the core placed in sealed bags and sent to the Company's sample preparation facility in Bukavu, DRC. The core samples were then crushed down to minus 2 mm, and split with half of the sample pulverized down to 90% passing 75 microns. Approximately 150 grams of the pulverized sample was then shipped to the SGS Laboratory (which is independent of the Company) in Mwanza, Tanzania where the samples were analyzed for gold by fire assay using a 50g charge. As part of the Company's QA/QC procedures, internationally recognized standards, duplicates and blanks were inserted into the sample batches.

Drill core samples were respectively taken from Lugushwa, Namoya and Twangiza East and West to determine relative density measurements for the various deposits and the oxide, transitional and fresh rock components.

Mineral Reserves

Table 2: Mineral Reserves


----------------------------------------------------------------------------
Mine/Project/Category                             Tonnes     Grade      Gold
                                                    (Mt)  (g/t Au)     (Moz)
----------------------------------------------------------------------------
Twangiza
----------------------------------------------------------------------------
Proven                                              5.62      2.49      0.45
----------------------------------------------------------------------------
Probable                                            8.07      2.23      0.57
----------------------------------------------------------------------------
Total Proven & Probable                            13.69      2.34      1.03
----------------------------------------------------------------------------


----------------------------------------------------------------------------
Namoya
----------------------------------------------------------------------------
Proven                                             22.39      1.78      1.28
----------------------------------------------------------------------------
Probable                                            1.31      1.34      0.06
----------------------------------------------------------------------------
Total Proven & Probable                            23.70      1.75      1.34
----------------------------------------------------------------------------


----------------------------------------------------------------------------
TOTAL MINERAL RESERVE
----------------------------------------------------------------------------
Proven                                             28.01      1.92      1.73
----------------------------------------------------------------------------
Probable                                            9.38      2.09      0.63
----------------------------------------------------------------------------

----------------------------------------------------------------------------
Total Proven + Probable                            37.39      1.96      2.36
----------------------------------------------------------------------------
Note: Rounding of numbers may result in computational discrepancies.
Mineral Reserves included in Mineral Resources.

The Proven & Probable Mineral Reserves at Twangiza have decreased by 33% to 1.03 Moz from 1.54 Moz (December 31, 2012). This 33% decrease is comprised of 20.2% due to lower gold price, 6.5% due to mining depletion and 6.3% due to an increase in cost used for estimation relative to the price and cost assumption for the December 31, 2012 estimation.

Table 3: The key assumptions used for the determination of the Mineral Reserves at Twangiza


----------------------------------------------------------------------------
Gold price                         US$1,200 per ounce
----------------------------------------------------------------------------
Mining costs                       US$3.35/tonne mined
----------------------------------------------------------------------------
Processing costs                   US$20.13/tonne processed
----------------------------------------------------------------------------
General and Administration costs   US$8.21/tonne processed
----------------------------------------------------------------------------
Royalties and Selling costs        US$33.80/ounce
----------------------------------------------------------------------------
Mining dilution                    5% at zero grade
----------------------------------------------------------------------------
Reserves cut-off grade             0.75 g/t Au recoverable
----------------------------------------------------------------------------
Mining recovery                    95%
----------------------------------------------------------------------------
Pit slopes                         30 to 50 degrees
----------------------------------------------------------------------------
Metallurgical recovery             Twangiza North deposit:
                                   Oxides (90.2%), Transition (87%), Fresh
                                   (86%)
                                   All other Twangiza deposits:
                                   Oxides (87%), Transition (79%), Fresh
                                   (74.5%)
----------------------------------------------------------------------------

The Twangiza resource model was built by SRK Consulting (UK) Ltd. ("SRK") and most recently published in a Banro press release dated March 4, 2011. The current estimates employed the SRK model but with changes to the economic assumptions with the drop in the gold price. For more details, refer to the technical report of Senet dated March 9, 2011 (as revised on March 24, 2011) and entitled "Economic Assessment NI 43-101 Technical Report, Twangiza Phase 1 Gold Project, South Kivu Province, Democratic Republic of the Congo", which has been filed on, and can be obtained from, SEDAR at www.sedar.com and EDGAR at www.sec.gov.

The Proven and Probable Mineral Reserve estimate at Namoya is 1.34 Moz. Key assumptions used for the Namoya Mineral Reserve are contained in Table 4.

Table 4: The key assumptions used for the determination of the Mineral Reserves at Namoya


----------------------------------------------------------------------------
Gold price                         US$1,200 per ounce
----------------------------------------------------------------------------
Mining costs                       US$3.85/tonne mined
----------------------------------------------------------------------------
Processing costs                   US$11.38/tonne processed
----------------------------------------------------------------------------
General and Administration costs   US$5.89/tonne processed
----------------------------------------------------------------------------
Royalties and Selling costs        US$33.05/ounce
----------------------------------------------------------------------------
Mining dilution                    5% at zero grade
----------------------------------------------------------------------------
Reserves cut-off grade             0.45 g/t Au recoverable
----------------------------------------------------------------------------
Mining recovery                    95%
----------------------------------------------------------------------------
Pit slopes                         40 to 50 degrees
----------------------------------------------------------------------------
Metallurgical recovery             Oxides (88%), Transitional (84%), Fresh
                                   (80%)
----------------------------------------------------------------------------

The cumulative cash flow for Namoya, based on this reserve estimate, is illustrated in Table 5 using various discount rates and assuming a US$1,200/ounce gold price for the life-of-mine.

Table 5: The Net Present Value of expected future cash flows from Namoya


-----------------------------------------
Discount Rate                         NPV
-----------------------------------------
0%                           $401 million
-----------------------------------------
5%                           $313 million
-----------------------------------------
10%                          $252 million
-----------------------------------------
15%                          $208 million
-----------------------------------------

Qualified Persons

Mr. Andrew N. Clay, Managing Director of Venmyn Deloitte (Pty) Ltd., is the "qualified person" (as such term is defined in National Instrument 43-101) who is responsible for the Namoya Mineral Reserve estimates disclosed in this press release. Mr. Clay has reviewed and approved the contents of this press release.

Banro's Head of Projects and Operations, Daniel K. Bansah, MSc (MinEx), who is a Chartered Professional Member of The Australasian Institute of Mining and Metallurgy (MAusIMM(CP)) and a "qualified person" (as such term is defined in National Instrument 43-101), is responsible for the Twangiza, Lugushwa and Namoya Mineral Resource estimates and Twangiza Mineral Reserve estimates disclosed in this press release as well as the other technical information contained in this release. Mr. Bansah has reviewed and approved the contents of this press release.

Additional information relating to the Lugushwa project is included in the technical report dated March 15, 2013 and entitled "Independent National Instrument 43-101 Technical Report on the Lugushwa Gold Project, South Kivu Province, Democratic Republic of the Congo". Additional information with respect to the Namoya Project is contained in the technical report dated January 24, 2012 and entitled "National Instrument 43-101 Independent Technical Report on the Namoya Gold Project, Maniema Province, Democratic Republic of the Congo". A copy of each of these reports can be obtained from SEDAR at www.sedar.com and EDGAR at www.sec.gov.

Banro Corporation is a Canadian gold mining company focused on production from the Twangiza mine, which began commercial production September 1, 2012, and completion of its second gold mine at Namoya located approximately 200 kilometres southwest of the Twangiza gold mine. The Company's longer term objectives include the development of two additional major, wholly-owned gold projects, Lugushwa and Kamituga. The four projects, each of which has a mining license, are located along the 210 kilometre long Twangiza-Namoya gold belt in the South Kivu and Maniema provinces of the Democratic Republic of the Congo. Led by a proven management team with extensive gold and African experience, the initial focus of the Company is on the mining of oxide material, which has a low capital intensity to develop but also attracts a lower technical and financial risk to the Company. All business activities are followed in a socially and environmentally responsible manner.

Cautionary Note to U.S. Investors

The United States Securities and Exchange Commission (the "SEC") permits U.S. mining companies, in their filings with the SEC, to disclose only those mineral deposits that a company can economically and legally extract or produce. Certain terms are used by the Company, such as "Measured", "Indicated", and "Inferred" "Resources", that the SEC guidelines strictly prohibit U.S. registered companies from including in their filings with the SEC. U.S. Investors are urged to consider closely the disclosure in the Company's Form 40-F Registration Statement, File No. 001-32399, which may be secured from the Company, or from the SEC's website at http://www.sec.gov/edgar.shtml.

Cautionary Note Concerning Mineral Resource and Mineral Reserve Estimates

The Mineral Resource and Mineral Reserve figures referred to in this press release are estimates and no assurances can be given that the indicated levels of gold will be produced. Such estimates are expressions of judgment based on knowledge, mining experience, analysis of drilling results and industry practices. Valid estimates made at a given time may significantly change when new information becomes available. While the Company believes that the Mineral Resource and Mineral Reserve estimates included in this press release are well established, by their nature Mineral Resource and Mineral Reserve estimates are imprecise and depend, to a certain extent, upon statistical inferences which may ultimately prove unreliable.

Mineral Resources that are not Mineral Reserves do not have demonstrated economic viability. There is no certainty that Mineral Resources can be upgraded to Mineral Reserves through continued exploration.

Due to the uncertainty that may be attached to Inferred Mineral Resources, it cannot be assumed that all or any part of an Inferred Mineral Resource will be upgraded to an Indicated or Measured Mineral Resource as a result of continued exploration. Confidence in the estimate is insufficient to allow meaningful application of the technical and economic parameters to enable an evaluation of economic viability worthy of public disclosure (except in certain limited circumstances). Inferred Mineral Resources are excluded from estimates forming the basis of a feasibility study.

Cautionary Note Concerning Forward-Looking Statements

This press release contains forward-looking statements. All statements, other than statements of historical fact, that address activities, events or developments that the Company believes, expects or anticipates will or may occur in the future (including, without limitation, statements regarding net present values and future cash flows, Mineral Resource and Mineral Reserve estimates, potential Mineral Resources and Mineral Reserves and future gold production and costs) are forward-looking statements. These forward-looking statements reflect the current expectations or beliefs of the Company based on information currently available to the Company. Forward-looking statements are subject to a number of risks and uncertainties that may cause the actual results of the Company to differ materially from those discussed in the forward-looking statements, and even if such actual results are realized or substantially realized, there can be no assurance that they will have the expected consequences to, or effects on the Company.

Factors that could cause actual results or events to differ materially from current expectations include, among other things: uncertainty of estimates of capital and operating costs, production estimates and estimated economic return of the Company's projects; the possibility that actual circumstances will differ from the estimates and assumptions used in the economic studies of the Company's projects; failure to establish estimated mineral resources and mineral reserves (the Company's mineral resource and mineral reserve figures are estimates and no assurance can be given that the intended levels of gold will be produced); fluctuations in gold prices and currency exchange rates; inflation; gold recoveries being less than those indicated by the metallurgical testwork carried out to date (there can be no assurance that gold recoveries in small scale laboratory tests will be duplicated in large tests under on-site conditions or during production) or less than those expected following the expansion of the Twangiza plant; uncertainties relating to the availability and costs of financing needed in the future; changes in equity markets; political developments in the DRC; lack of infrastructure; failure to procure or maintain, or delays in procuring or maintaining, permits and approvals; lack of availability at a reasonable cost or at all, of plants, equipment or labour; inability to attract and retain key management and personnel; changes to regulations affecting the Company's activities; the uncertainties involved in interpreting drilling results and other geological data; and the other risks disclosed under the heading "Risk Factors" and elsewhere in the Company's annual information form dated March 26, 2013 filed on SEDAR at www.sedar.com and EDGAR at www.sec.gov. Any forward-looking statement speaks only as of the date on which it is made and, except as may be required by applicable securities laws, the Company disclaims any intent or obligation to update any forward-looking statement, whether as a result of new information, future events or results or otherwise. Although the Company believes that the assumptions inherent in the forward-looking statements are reasonable, forward-looking statements are not guarantees of future performance and accordingly undue reliance should not be put on such statements due to the inherent uncertainty therein.

For further information, please visit our website at www.banro.com.

Follow the Company on Twitter @banrocorp

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
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
The IoT has the potential to create a renaissance of manufacturing in the US and elsewhere. In his session at 18th Cloud Expo, Florent Solt, CTO and chief architect of Netvibes, will discuss how the expected exponential increase in the amount of data that will be processed, transported, stored, and accessed means there will be a huge demand for smart technologies to deliver it. Florent Solt is the CTO and chief architect of Netvibes. Prior to joining Netvibes in 2007, he co-founded Rift Technol...
If there is anything we have learned by now, is that every business paves their own unique path for releasing software- every pipeline, implementation and practices are a bit different, and DevOps comes in all shapes and sizes. Software delivery practices are often comprised of set of several complementing (or even competing) methodologies – such as leveraging Agile, DevOps and even a mix of ITIL, to create the combination that’s most suitable for your organization and that maximize your busines...
Struggling to keep up with increasing application demand? Learn how Platform as a Service (PaaS) can streamline application development processes and make resource management easy.
New Relic, Inc. has announced a set of new features across the New Relic Software Analytics Cloud that offer IT operations teams increased visibility, and the ability to diagnose and resolve performance problems quickly. The new features further IT operations teams’ ability to leverage data and analytics, as well as drive collaboration and a common, shared understanding between teams. Software teams are under pressure to resolve performance issues quickly and improve availability, as the comple...
The proper isolation of resources is essential for multi-tenant environments. The traditional approach to isolate resources is, however, rather heavyweight. In his session at 18th Cloud Expo, Igor Drobiazko, co-founder of elastic.io, will draw upon their own experience with operating a Docker container-based infrastructure on a large scale and present a lightweight solution for resource isolation using microservices. He will also discuss the implementation of microservices in data and applicat...
Join IBM June 8 at 18th Cloud Expo at the Javits Center in New York City, NY, and learn how to innovate like a startup and scale for the enterprise. You need to deliver quality applications faster and cheaper, attract and retain customers with an engaging experience across devices, and seamlessly integrate your enterprise systems. And you can't take 12 months to do it.
See storage differently! Storage performance problems have only gotten worse and harder to solve as applications have become largely virtualized and moved to a cloud-based infrastructure. Storage performance in a virtualized environment is not just about IOPS, it is about how well that potential performance is guaranteed to individual VMs for these apps as the number of VMs keep going up real time. In his session at 18th Cloud Expo, Dhiraj Sehgal, in product and marketing at Tintri, will discu...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, will discuss how research has demonstrated the value of Machine Learning in delivering next generation analytics to im...
This is not a small hotel event. It is also not a big vendor party where politicians and entertainers are more important than real content. This is Cloud Expo, the world's longest-running conference and exhibition focused on Cloud Computing and all that it entails. If you want serious presentations and valuable insight about Cloud Computing for three straight days, then register now for Cloud Expo.
As you respond to increasing requests for new analytics, you need fast and flexible technology in your arsenal so that you can deploy the right workload to the right platform for the need at hand. Do you need self-service and fast time to value? Do you have data and application control and privacy needs, along with strict SLAs to meet? IBM dashDB™ is data warehouse technology powered by in-memory computing and in-database analytics that are designed for fast results, scalability and more.
SYS-CON Events announced today that SoftLayer, an IBM Company, has been named “Gold Sponsor” of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. SoftLayer, an IBM Company, provides cloud infrastructure as a service from a growing number of data centers and network points of presence around the world. SoftLayer’s customers range from Web startups to global enterprises.
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, will provide tips on how to be successful in large scale machine lear...
Up until last year, enterprises that were looking into cloud services usually undertook a long-term pilot with one of the large cloud providers, running test and dev workloads in the cloud. With cloud’s transition to mainstream adoption in 2015, and with enterprises migrating more and more workloads into the cloud and in between public and private environments, the single-provider approach must be revisited. In his session at 18th Cloud Expo, Yoav Mor, multi-cloud solution evangelist at Cloudy...
IoT device adoption is growing at staggering rates, and with it comes opportunity for developers to meet consumer demand for an ever more connected world. Wireless communication is the key part of the encompassing components of any IoT device. Wireless connectivity enhances the device utility at the expense of ease of use and deployment challenges. Since connectivity is fundamental for IoT device development, engineers must understand how to overcome the hurdles inherent in incorporating multipl...