Methods robustness
Does the disclosed work match what the study stage demands?
Judged against the Part 3 PFS column: bench-scale flotation is present and extensive (three multi-year programs across nine labs); variability composites are far above the PFS expectation of 'several, across ore types' - 53 variability samples selected on lithology, alteration, Cu and Au grade, spatial position and mine-plan timing, each with mineralogy, comminution and open-circuit flotation; locked-cycle testing (expected at PFS) is present on three grade-class composites with recycle streams closed; mineralogy is present and linked qualitatively to metallurgy (98.1% of Cu in chalcopyrite, 55% average liberation at 150 um supporting the grind selection; refractory Au in pyrite and pH 11 pyrite depression explaining the depressed gold recoveries; kaolinite flagged as a recovery risk); the flowsheet is deposit-specific and justified by measured data (grind-recovery scan selecting F80 150 um, collector screening selecting PAX, frother change to polyglycol after poor froth quality, regrind target set by feed grade, cyanidation circuit tested and deliberately excluded). Pilot-scale work is not expected at PFS and its absence is not counted against the report. Two matters temper the letter: (i) the recovery model is a head-grade regression from LCT data with no metallurgical domaining despite mineralogical evidence (lithology-dependent competency, kaolinite, talc 'specific locations not quantified yet') that domains matter; and (ii) the QP states 'No corrections have been applied at this time for operability-related losses', so the design recovery is an unadjusted laboratory-derived value. On the Part 7 anchors the work satisfies every expected-for-stage item (B) and touches two A-axes (variability count well beyond the stage minimum; deposit-specific flowsheet justified by measured liberation and comminution data), but the undomained recovery framework and un-discounted LCT basis hold it at B rather than A.
- Report omissionaffects the gradeThe recovery model is not segmented into metallurgical domains (lithology/alteration/mineralogy); grade classes (low/medium/high Cu) are used as a proxy, even though the report's own mineralogy identifies kaolinite and talc as potential recovery-impacting phases whose spatial distribution is 'not quantified yet'.
- Report omissionaffects the gradeNo operability/scale-up discount is applied to the locked-cycle-derived recovery relationships ('No corrections have been applied at this time for operability-related losses'), so plant-basis recovery is not demonstrated at PFS level.
- Data gapnot in the extracted text — does not affect the gradeMetallurgical testwork is disclosed for the Alpala underground deposit only; no flotation or comminution testwork is disclosed for the Tandayama-America deposit, which carries a separate Mineral Resource (including an open-pit-constrained portion). TAM is not in the current mine plan, so this may be addressed in sections not provided.
- Data gapnot in the extracted text — does not affect the gradeThe plant design grind of P80 200 um (Summary 1.13) differs from the F80 150 um basis on which the flotation testwork and recovery equations were developed; the testwork showed recovery consistent from F80 150-200 um, but the design-basis reconciliation is not spelled out in the provided text (may appear in Section 17 Recovery Methods).
Explained vs. unexplained The framework explains a substantial part of the observed lab range but not all of it. Copper feed grade plus target concentrate grade together account for the dominant trend: LCT recoveries move systematically from 80.4% (0.21% Cu feed) to 86.2% (0.57% Cu) to 94.8% (1.54% Cu), and the report explains the 32% of variability tests that failed the 22% Cu concentrate target by head grade (failures averaged 0.38% Cu feed versus 1.08% Cu for those that passed). Grind size, residence time, reagent regime, cleaner pH and regrind size were all optimised experimentally and the regrind target is set by feed grade, and Figure 13-4 makes recovery an explicit function of the targeted concentrate grade - so operating conditions are studied and partly embedded, but the production model itself is a recovery-versus-feed-grade curve rather than a condition-parameterised model. What remains unexplained is the within-grade-class scatter: at 0.4-0.9% Cu feed, 25 variability samples average 79.2% Cu recovery with 36% failing the concentrate target, and the overall open-circuit variability range is 63.4-94.4% Cu recovery and 30.8-87.4% Au recovery. The report identifies plausible causes (kaolinite, talc, lithology, Au refractory in pyrite) but does not build them into domains or quantify their spatial extent, so that residual spread is acknowledged rather than accounted for.
- limitationOperability losses not applied to recovery estimatesSection 13.7: 'The overall recovery relationships for the flotation plant are based on the available locked cycle testwork (LCT). No corrections have been applied at this time for operability-related losses.' The design and economic recoveries are unadjusted laboratory values; real plant recovery would normally be discounted, so the 88.5% LOM Cu recovery should be treated as an upper-bound basis at PFS.
- riskConcentrate grade target not achieved by a third of variability samples32% of the 53 variability tests failed to achieve a copper concentrate above 22% Cu; failing samples averaged 0.38% Cu head versus 1.08% Cu for passing samples. Among medium-grade samples (0.4-0.9% Cu, 25 of 53 samples), 36% failed to reach 22% Cu concentrate, averaging 24.7% Cu concentrate at 79.2% Cu recovery. Meeting the 22% Cu concentrate target in lower-grade production years may require accepting lower recovery or lower concentrate grade, affecting both revenue and smelter terms in later mine life.
- riskClay (kaolinite) contentMineralogy table observation: 'Where kaolinite is detected in quantity, recoveries may be impacted.' Other non-sulphide gangue ranges 1.1-19.0%. A named but unquantified recovery risk that is not carried into the recovery model or into domaining.
- limitationTalc distribution unquantifiedTalc (0.1-0.3%) noted with the comment 'Specific locations not quantified yet.' Talc is a known flotation contaminant/naturally floating gangue; its spatial distribution remains an open item for later study stages.
- riskRefractory gold in pyrite and pyrite depressionUTas microanalysis found gold hosted in refractory form, chemically bound in pyrite with compositional zoning and Au-rich inclusions; Au-Ag-tellurides may also be important. Cleaner flotation at pH 11 to suppress pyrite 'resulted in reduced gold recovery at finer grinds as gold associated with liberated pyrite struggled to float.' Gold recovery is structurally limited (LCT averages 48.5-75.5%; variability range 30.8-87.4%) and is a direct trade-off against copper concentrate grade.
- limitationFroth quality in cleaner flotation'Poor froth quality was noted during cleaner flotation, which was overcome by replacing MIBC with a stronger polyglycol frother during locked cycle testing.' Identified and mitigated in testwork, but indicates cleaner-circuit sensitivity to reagent regime.
- opportunityGold recovery from flotation tailings by cyanidationTen flotation-tails composites leached 46-88% (average 68.8%) of contained gold, and a refloated pyrite concentrate leached 76%, but cyanide consumption averaged 3.2 kg/t (12.19 kg/t for the pyrite concentrate) due to copper. The current preferred flowsheet has no gold cyanidation circuit. Incremental gold revenue was quantified and deliberately excluded on cost grounds; a potential upside if reagent consumption can be managed.
- riskIncreasing ore competency with depth and decreasing gradeComminution results show 'as the head grade of copper decreases, the samples will generally be more competent and abrasive. The volcanic and D15 lithologies are typically more competent, and the deposit competency generally increases with depth.' Later mine life combines lower grade (lower recovery, harder concentrate-grade target) with harder, more abrasive feed - a compounding throughput/cost risk, mitigated in design by using 80th-percentile parameters.