AI Terminal

MODULE: AI_ANALYST
Interactive Q&A, Risk Assessment, Summarization
MODULE: DATA_EXTRACT
Excel Export, XBRL Parsing, Table Digitization
MODULE: PEER_COMP
Sector Benchmarking, Sentiment Analysis
SYSTEM ACCESS LOCKED
Authenticate / Register Log In

FORTUNA MINING CORP.

Regulatory Filings Apr 26, 2017

Preview not available for this file type.

Download Source File

CORRESP 1 filename1.htm Licensed to: Skadden Arps Document created using EDGARfilings PROfile 4.2.1.0 Copyright 1995 - 2017 Summit Financial Printing, LLC. All rights reserved.

VIA EDGAR

April 26, 2017

Attention: Craig Arakawa United States Securities and Exchange Commission Division of Corporate Finance Mail Stop 3561 Washington, DC 20549

RE: Fortuna Silver Mines Inc. Form 40-F for the Year Ended December 31, 2015, filed March 29, 2016 Form 6-K furnished November 8, 2016 File No. 001-35297

Dear Mr. Arakawa,

Thank you for the telephone conference on the afternoon of Wednesday April 5, 2017 which was a follow-up to your second comment letter dated February 22, 2017.

During the call you had requested we provide you with:

  1. A quantification of the figures used in our depletion calculations included in our letter dated March 15, 2017. We note these calculations were provided excluding inferred resources from both the numerator and denominator of the Company’s units of production calculation of depletion.

  2. A calculation of depletion of other assets which may also be affected by the use of inferred resources in the calculation, and if immaterial so state. We have provided these calculations using total production over reserves as indicated in item 3 below.

We believe it would be useful to you if we also provided:

  1. Based on further work done with our advisors we have revised the depletion calculations included in our letter dated March 15, 2017. In our letter dated March 15, 2017 the numerator used in the calculation of depletion was based on tonnes milled from proven and probable reserves. We are now using total production which comprises tonnes from proven and probable reserves and inferred resources in the numerator.

On a call on April 19, 2017, you had also requested we provide:

  1. A clarification of conversion history.

2

  1. Quantification of the figures used in our depletion calculations included in our letter dated March 15, 2017.

The following tables were provided in our March 15, 2017 letter. They outline the amount of depletion expense recorded for the Company’s mining assets with and without the inclusion of inferred resources for the years ended December 31, 2015 and December 31, 2014 and for the nine months ended September 30, 2016:

San Jose

Year ended December 31, 2014 Year ended December 31, 2015 Nine months ended September 30, 2016
Depletion expense with the inclusion of the portion of inferred resources estimated to be economically extracted $ 9,711,000 $ 9,042,000 $ 9,763,000
Depletion expense based on reserve tonnes without the inclusion of inferred resources in the denominator $ 14,986,000 $ 15,381,000 $ 11,304,000
Difference $ 5,275,000 $ 6,339,000 $ 1,541,000

The above figures were calculated as follows:

Year ended December 31, 2014 Year ended December 31, 2015 Nine months ended September 30, 2016
San Jose Mine
As originally reported:
Average net book value of the mineral property A 105,032,000 101,676,000 120,373,000
Total production (tonnes milled) for the year B 676,959 717,505 632,432
Average depletion base (tonnes reserves + portion inferred) C 7,321,844 8,067,970 7,797,808
Depletion expense as calculated A x B ÷ C 9,711,000 9,042,000 9,763,000
Depletion without the inclusion of inferred resources
Average net book value of the mineral property A 95,004,000 95,041,000 90,452,000
Total production from reserves only (tonnes milled) for the year B 568,669 609,646 472,398
Average depletion base (tonnes reserves only) C 3,605,000 3,767,000 3,780,000
Depletion expense A x B ÷ C 14,986,000 15,381,000 11,304,000

3

Caylloma

Year ended December 31, 2014 Year ended December 31, 2015 Nine months ended September 30, 2016
Depletion expense with the inclusion of the portion of inferred resources estimated to be economically extracted $ 3,695,000 $ 4,890,000 $ 3,141,000
Depletion expense based on reserve tonnes without the inclusion of inferred resources in the denominator $ 4,766,000 $ 5,268,000 $ 4,469,000
Difference $ 1,071,000 $ 378,000 $ 1,328,000

The above numbers were calculated as follows:

Year ended December 31, 2014 Year ended December 31, 2015 Nine months ended September 30, 2016
Caylloma Mine
As originally reported:
Average net book value of the mineral property A 35,899,000 38,830,000 24,107,000
Total production (tonnes milled) for the year B 464,823 466,286 379,707
Average depletion base (tonnes reserves + portion inferred) C 4,515,622 3,702,692 2,914,524
Depletion expense as calculated D= A x B ÷ C 3,695,000 4,890,000 3,141,000
Depletion expense without the inclusion of inferred resources
Average net book value of the mineral property A 38,691,500 39,733,500 25,766,000
Total production from reserves only (tonnes milled) for the year B 379,796 402,114 343,243
Average depletion base (tonnes reserves only) C 3,083,000 3,033,000 1,979,000
Depletion expense A x B ÷ C 4,766,000 5,268,000 4,469,000

4

  1. A calculation of depletion of other assets which may also be affected by the use of inferred resources in the calculation, and if immaterial so state.

The Company also depletes production buildings and related infrastructure located on mine sites using the units-of-production basis. The calculations provided below show the effect if depletion were calculated using total production over reserves:

San Jose Mine - Buildings

Year ended December 31, 2014 Year ended December 31, 2015 Nine months ended September 30, 2016
Depletion expense with the inclusion of the portion of inferred resources estimated to be economically extracted $ 3,464,000 $ 3,389,000 $ 3,928,000
Depletion expense based on total production without the inclusion of inferred resources in the denominator $ 7,112,000 $ 7,572,000 $ 8,615,000
Difference $ 3,648,000 $ 4,183,000 $ 4,687,000

Caylloma Mine - Buildings

Year ended December 31, 2014 Year ended December 31, 2015 Nine months ended September 30, 2016
Depletion expense with the inclusion of the portion of inferred resources estimated to be economically extracted $ 2,060,000 $ 2,725,000 $ 1,622,000
Depletion expense based on total production without the inclusion of inferred resources in the denominator $ 3,195,000 $ 3,318,000 $ 2,272,000
Difference $ 1,135,000 $ 593,000 $ 650,000

5

  1. Calculations showing the effect on depletion of the mineral property if depletion were calculated using the quantity of material extracted and processed from the mine in the period as a percentage of the total quantity of material expected to be extracted and processed in current and future periods based on mineral reserves.
San Jose Year ended December 31, 2014 Year ended December 31, 2015 Nine months ended September 30, 2016
Depletion expense with the inclusion of the portion of inferred resources estimated to be economically extracted 9,711,000 9,042,000 9,763,000
Depletion expense based on total production without the inclusion of inferred resources in the denominator 18,255,000 17,436,000 15,653,000
Difference 8,544,000 8,394,000 5,890,000

The above figures were calculated as follows:

Year ended December 31, 2014 Year ended December 31, 2015 Nine months ended September 30, 2016
San Jose Mine
As originally reported:
Average net book value of the mineral property A 105,032,000 101,676,000 120,373,000
Total production (tonnes milled) for the year B 676,959 717,505 632,432
Average depletion base (tonnes reserves + portion inferred) C 7,321,844 8,067,970 7,797,808
Depletion expense as calculated A x B ÷ C 9,711,000 9,042,000 9,763,000
Depletion using reserves only
Average net book value of the mineral property A 88,099,000 82,817,000 85,736,000
Total production (tonnes milled) for the year B 676,959 717,505 632,432
Average depletion base (tonnes reserves only) C 3,267,000 3,408,000 3,464,000
Depletion expense A x B ÷ C 18,255,000 17,436,000 15,653,000

6

Caylloma Year ended December 31, 2014 Year ended December 31, 2015 Nine months ended September 30, 2016
Depletion expense with the inclusion of the portion of inferred resources estimated to be economically extracted 3,695,000 4,890,000 3,141,000
Depletion expense based on total production without the inclusion of inferred resources based on reserve tonnes 5,853,000 6,054,000 4,488,000
Difference 2,158,000 1,164,000 1,347,000

The above numbers were calculated as follows:

Year ended December 31, 2014 Year ended December 31, 2015 Nine months ended September 30, 2016
Caylloma Mine
As originally reported:
Average net book value of the mineral property A 35,899,000 38,828,000 24,107,000
Total production (tonnes milled) for the year B 464,823 466,286 379,707
Average depletion base (tonnes reserves + portion inferred) C 4,515,622 3,702,692 2,914,524
Depletion expense as calculated A x B ÷ C 3,695,000 4,890,000 3,141,000
Depletion using reserves only
Average net book value of the mineral property A 35,899,000 36,312,000 21,145,000
Total production (tonnes milled) for the year B 464,823 466,826 379,707
Average depletion base (tonnes reserves only) C 2,851,000 2,800,000 1,789,000
Depletion expense A x B ÷ C 5,853,000 6,054,000 4,488,000

7

  1. Clarification on conversion history

On a subsequent call on April 19th you requested clarification for the referenced periods of our conversion ratios as per our response letter of January 27th 2017.

Please see the tables below:

San Jose

For San Jose we had previously provided information for the fiscal years 2014 and 2015. Below we provide information for the periods 2013 through 2016.

Year Conversion Ratio — Tonnes Grades Metal Content
Ag Eq Ag Au Ag Eq
2016 97% 112% 109% 119% 108%
2015 83% 115% 117% 112% 96%
2014 120% 99% 100% 99% 119%
2013 92% 100% 104% 95% 93%
AVERAGE 98% 107% 107% 106% 104%

The San Jose mine was commissioned in October 2011 and up to 2012 there was very little infill drilling done to have any meaningful conversion data. Hence the first relevant year of conversion data starts in 2013.

Caylloma Mine

For Caylloma we had previously provided information for the periods 2012 through 2015. We are expanding the information provided for the periods 2012 through 2016.

Year Conversion Ratio
Tonnes Metal Content
Ag Au Pb Zn
2016 93% 116% 118% 81% 95%
2015 65% 66% 70% 112% 68%
2014 79% 81% 77% 81% 94%
2013 81% 79% 72% 89% 86%
2012 87% 105% 112% 107% 111%
AVERAGE 81% 89% 90% 94% 91%

The Caylloma mine was restarted under the current management in the second half of 2006. Prior to 2012 the classification of the mineral resource was performed using a different methodology that did not provide as much control on conversion areas as we are able to achieve today. Since we changed the classification to the more controlled, digitized string method, we have been able to carefully track and monitor the exact areas that have been converted year over year.

8

We thank you for your letter and we trust that these responses will address your comments. If you have further questions, please contact the undersigned at (604) 684-8026.

Yours truly FORTUNA SILVER MINES INC.

Per: /s/ Luis Dario Ganoza

Luis Dario Ganoza Chief Financial Officer

Cc: Audit Committee Tim Holwill, Deloitte LLP Riccardo Leofanti, Skadden, Arps, Slate, Meagher & Flom LLP

Talk to a Data Expert

Have a question? We'll get back to you promptly.