Before a single tonne of ore is mined, one critical question must be answered: 👉 How much mineral is actually present, and is it economically mineable? The answer lies in Reserve Estimation—one of the most important processes in mining engineering. It determines the quantity, quality, and economic viability of a mineral deposit, forming the basis of mine planning, investment decisions, and long-term sustainability. 🌍 📊 What is Reserve Estimation? Reserve estimation is the scientific process of calculating the amount of recoverable mineral within a deposit using geological, sampling, and engineering data. It helps answer key questions such as: ✅ How much ore is available? ✅ What is the grade (quality) of the mineral? ✅ Can it be mined safely and profitably? ✅ How long will the mine operate? 🔍 Key Factors Considered 📌 Geological mapping and exploration drilling 📌 Core sample analysis and mineral grade evaluation 📌 Ore body geometry and continuity 📌 Density (Specific Gravity) measurements 📌 Geostatistical modelling and block models 📌 Economic, technical, environmental, and legal considerations These factors ensure reserve estimates are reliable and support informed decision-making. 🚜 Why is Reserve Estimation Important? Accurate reserve estimation is essential because it: ✅ Supports efficient mine planning and production scheduling ✅ Helps determine project feasibility and investment potential 💰 ✅ Reduces operational and financial risks ✅ Optimizes equipment selection and resource utilization ✅ Prevents overestimation or underutilization of mineral resources ✅ Promotes sustainable and responsible mining practices 🌱 💡 Practical Relevance in Mining Operations In real mining projects, reserve estimation directly influences: ⛏️ Mine design and pit optimization 🚛 Equipment fleet planning 📅 Production targets and mine life estimation 💵 Financial forecasting and budgeting 🛡️ Safe extraction strategies by understanding geological conditions Without accurate reserve estimation, mining projects can face significant technical and economic challenges. Mastering these concepts builds a strong foundation for careers in exploration, mine planning, resource evaluation, and strategic project management. 🌟 Final Thought Accurate reserve estimation transforms geological data into confident mining decisions. By combining science, engineering, and technology, we can ensure mining operations remain safe, efficient, economically viable, and sustainable for future generations.

A Feasibility Study brings together the resource model, test work, engineering, geotechnical conditions, infrastructure, environmental and permitting inputs, execution planning and the financial model on which the Board decides. Data and assumptions sit beneath that work. The data is what has been observed, measured, tested or priced: drilling, metallurgical test work, geotechnical investigation, engineering quantities and quotations. The assumptions are what the study team adopts where evidence runs out. Every study contains both. Successive phases reduce uncertainty to a level appropriate for the decision. The quality of the data governs the range within which the study can reasonably be right. A financial model can calculate weak inputs precisely. It cannot make them reliable. We see the consequences during independent reviews. A mining method may be selected on insufficient geotechnical information. Process performance may rely on unrepresentative test work. Design may advance before the required investigation or engineering definition is complete. The recommendation is often the same: collect and validate data before advancing. That is why project phases have different minimum standards. Scoping may rely on broad assumptions. Prefeasibility should test the alternatives and establish the preferred case. By Feasibility Study, material assumptions should be supported by evidence consistent with the claims presented. A study advanced on data below the required threshold claims confidence it has not earned. Assumption traceability is a basic study control. Metallurgical recoveries should trace to representative test work. Capital quantities should trace to engineering documents. Operating costs should trace to supplier information, operating data or defensible benchmarks. Where hard evidence is unavailable, the study should state the basis, uncertainty and treatment. Project failure often takes root early, in assumptions not tested while the owner still had time to change them. The mechanism is frequently optimism. The ramp-up is too steep. Grade or recovery is read too generously. Productivity is assumed without sufficient evidence. Contingency supports confidence the scope has not earned. For capital cost, the control lies in scope maturity, estimate discipline and honest treatment of risk and contingency. For inputs the project cannot control, particularly commodity prices, the economics should be tested across credible downside conditions agreed with decision-makers. A credible feasibility case shows whether the project remains acceptable when important assumptions move against it. Testing that before capital is committed is a central purpose of study governance, independent peer review, and the Capital Investment System (CIS). The study team develops the case. Governance tests it. The Board decides.

Every successful mine begins long before the first tonne of ore is extracted. It starts with knowledge. In the mining industry, value is not created by chance—it is built through a chain of understanding that transforms uncertainty into confidence and data into decisions. The journey begins with geophysics, where we capture signals hidden beneath the surface. Geology then transforms those signals into a meaningful understanding of structures, lithology, alteration systems, and mineralization controls. From there, resource models quantify the opportunity, reserve estimation evaluates what can be mined economically, and mine planning converts technical understanding into executable strategies. Only then can a mining project create sustainable value through production, growth, and long-term operational success. The strongest mining projects are not necessarily those with the largest deposits. They are the projects with the highest confidence in their understanding of the deposit. Because every stage of mining depends on the quality of knowledge generated before it. Geophysics provides the signals. Geology provides the understanding. Mining transforms that understanding into value. The better the data, the better the understanding. The better the understanding, the better the decisions. The better the decisions, the greater the value. Every dollar generated by a mine starts with knowledge beneath the surface. #Mining #MineralExploration #Geology #Geophysics #ResourceEstimation #ReserveEstimation #MinePlanning #MiningEngineering #EconomicGeology #MineDevelopment #MiningConsulting #SustainableMining #ZveniaMining #KnowledgeDrivenMining #ValueCreation

SMALL CUT-OFF CHANGES CAN DESTROY PROJECT ECONOMICS In mining, value is not created by maximizing tonnage. Value is created by finding the right cut-off. A small adjustment in cut-off grade may look insignificant on paper — but in reality, it can completely change: • Ore tonnage • Strip ratio • Revenue generation • Processing cost • Cash flow • NPV and project viability Lower cut-off grades may increase tonnage, but often bring more waste movement, higher processing cost, and lower average grade. Higher cut-off grades may improve grade quality, but risk leaving economic metal behind. This is why cut-off grade should never be selected arbitrarily. A proper cut-off decision requires understanding: ✔ Economic cut-off calculation ✔ Revenue vs stripping balance ✔ Sensitivity scenarios ✔ Mining constraints ✔ Recovery assumptions ✔ Geological confidence The objective is not to mine more. The objective is to extract the maximum economic value with acceptable risk. Because sometimes… "a 0.1–0.3 change in cut-off can create millions in value — or destroy them". Run sensitivity. Challenge assumptions. Choose value, not volume. Right cut-off → Relevant economics → Maximum return. #CutOffGrade #ReserveEstimation #MiningEconomics #MinePlanning #OreReserve #ResourceModeling #Mining #Geology #Geometallurgy #MiningEngineering #EconomicGeology #NPV #MineOptimization #NickelMining #Zvenia

WHY 1 m vs 2 m COMPOSITE CAN CHANGE YOUR TONNAGE In reserve estimation, compositing is not just a data preparation step — it directly influences how geology is represented inside the model. Using the same assay dataset, different composite lengths (0.5 m, 1 m, and 2 m) can produce different outcomes. Shorter composites may preserve narrow high-grade intervals and geological variability.Longer composites tend to smooth grades, dilute local peaks, and redistribute metal across thicker intervals. As a result: • Average grade can shift • Tonnage above the cut-off can increase or decrease • Contained metal changes • Economic decisions may be affected There is no universal “best composite length.” The right approach should consider: ✔ Geological continuity ✔ Sample support consistency ✔ Variogram behavior ✔ Selective Mining Unit (SMU) ✔ Block model resolution ✔ Sensitivity testing Reserve estimation is not only about estimating blocks.It starts from how we choose to represent the original assay data. Composite smarter → Model better → Estimate with confidence. #ReserveEstimation #Mining #Geology #ResourceModeling #OreReserve #BlockModel #Compositing #Geostatistics #MiningEngineering #MineralResources #GeologicalModeling #MiningConsultant #NickelMining #MinePlanning #Zvenia

Desde mi experiencia, este documento suele ser bien conocido por los equipos de geología y planeamiento, pero no siempre llega con la misma profundidad a operaciones mina, procesos o incluso a las gerencias de la compañía. 📉 Y ahí es donde se pierde parte de su valor. Al final, son las decisiones operativas las que transforman el modelo geológico en producción real. Cuando el contenido de estos reportes no se comparte ni se discute entre las áreas operativas, comienzan a aparecer situaciones que muchos reconocen: ✔️ Planes de mina que no reflejan completamente la geometría o continuidad geológica. ✔️ Ciclos de minado presionadas por el corto plazo ✔️ Expectativas de planta que no consideran la variabilidad del yacimiento. La información existe, pero no siempre está en la mesa donde se toman las decisiones. 👉 He visto que las operaciones que logran mejores resultados hacen algo distinto: "mantienen vivo este documento". Lo revisan, lo discuten y lo retroalimentan constantemente con lo que ocurre en campo. Y algo que realmente marca la diferencia es cuando los gerentes de operaciones y los gerentes de unidad conocen bien estos reportes y promueven activamente su uso. Cuando eso sucede, el modelo geológico deja de ser solo un documento técnico y pasa a ser parte de la conversación diaria sobre cómo operar mejor la mina. Ahí empieza a generarse valor real. Porque la conexión entre geología, planeamiento, operaciones y procesos se fortalece, las decisiones se alinean mejor con la realidad del yacimiento y las desviaciones entre lo planificado y lo producido comienzan a reducirse. Al final, un buen reporte de recursos y reservas no solo nos dice cuánto mineral tenemos. Nos ayuda a entender cómo gestionarlo mejor. 📈 Y cuando ese conocimiento circula dentro de la organización, deja de ser un documento técnico y se convierte en una verdadera ventaja operativa y parte del ciclo de mejora continua. 📌 Abro la conversación con la comunidad minera: ¿En sus operaciones el reporte de recursos y reservas se usa activamente para la toma de decisiones, o sigue siendo un documento que se revisa principalmente durante auditorías o actualizaciones del modelo? Será interesante conocer cómo lo están integrando en la gestión diaria de sus operaciones.

Le Krigeage n'aura plus de secrets ! Sujet du Jour : Espérance et Variance Conditionnelle en Géostatistique. Fiche Exercice N°4 : De la probabilité conditionnelle à la prédiction spatiale. Aujourd'hui, nous abordons le cœur de la prédiction spatiale : l'Espérance Conditionnelle. C'est le fondement mathématique qui permet au Krigeage de fonctionner et de fournir la meilleure estimation non biaisée. Dirigé par l'Ing. NGUEYAP AMBANI AUGUSTIN SERGE, voici notre programme de la session : 🧠 Programme : Les Clés de la Prédiction 1. Objectifs Pédagogiques : Comprendre comment l'information connue influence l'estimation (conditionnement). 2. Rappel Fondamental : Maîtriser les propriétés de l'Espérance et de la Variance conditionnelles. 3. Mise en Contexte Géoscientifique : Utiliser les données de forage pour réduire l'incertitude sur la teneur d'un bloc. 4. Résolution Pratique : Application du concept pour minimiser l'erreur d'estimation (Fiche Ex. N°4). 5. Le Grand Lien : Lien direct avec le Krigeage — l'Espérance Conditionnelle comme estimateur. Le but ? Passer de la simple interpolation à une prédiction spatiale rigoureuse qui quantifie son propre niveau de confiance. Nous poursuivons avec notre challenge ! Si vous êtes impliqué dans l'estimation des ressources ou la modélisation minière, cette session est indispensable. ➡️ Si tu aimes ce challenge, like, partage et abonne-toi pour suivre l'intégralité du parcours ! hashtag hashtag#Géostatistique hashtag hashtag#Krigeage hashtag hashtag#ModélisationMinière hashtag hashtag#EspéranceConditionnelle hashtag hashtag#Ingénierie hashtag hashtag#PrédictionSpatiale hashtag hashtag#NGUEYAP

Moyenne, Variance et Écart-type appliqués à une série de teneurs minières Début de notre série de 30 jours ! 🚀 Nous lançons aujourd'hui un projet ambitieux visant à démontrer l'apport crucial des mathématiques fondamentales dans les études géostatistiques et les géosciences. Pour cette première fiche, nous abordons les Statistiques Descriptives de Base, l'outil indispensable pour tout ingénieur minier ou géologue. Objectifs de la Fiche N°1 : Rappel des notions clés et des formules statistiques. Application détaillée et pratique sur une série de données réelles de teneurs minières. Interprétation des résultats (variabilité, dispersion) pour éclairer la prise de décision. Par Ing. NGUEYAP AMBANI AUGUSTIN SERGE. 👉 Le saviez-vous ? La variance est la clé pour comprendre l'homogénéité d'un gisement. LIKEZ et PARTAGEZ pour en faire profiter le maximum de professionnels et d'étudiants. Abonnez-vous à la série et retrouvez la solution détaillée dans les commentaires ! hashtag#Géostatistique hashtag#Mines hashtag#DataAnalysis hashtag#MathématiquesAppliquées hashtag#Géosciences hashtag#Ingénierie hashtag#Formation hashtag#NGUEYAPAMBANI

Estimados Amigos y Colegas a través de la presente es grato saludarlos así mismo quiero compartir con ustedes un trabajo desarrollado en el Curso de Fundamentos en Economía de Minerales III-2024, denominado: Errors and Uncertainty in Mineral Resource and Ore Reserve Estimation: The Importance of Getting it Right, se trata de un análisis sobre cómo gestionar los errores e incertidumbres identificados en el proceso de estimación de recursos y reservas de mineral según las regulaciones internacionales.

Every mine operates within a defined timeframe known as the Life of Mine (LoM). From the first blast to the final tonne and eventual closure, LoM planning ensures that mining is carried out efficiently, safely, and profitably over the entire lifespan of the operation. This week, we explore what Life of Mine means and why it is one of the most important concepts in mining engineering. ⏳ What Is Life of Mine (LoM)? Life of Mine refers to the total duration over which a mineral deposit can be economically extracted, based on available reserves, production rates, and economic conditions. LoM is not just a number of years — it is a strategic plan. 🧩 Key Components of Life of Mine Planning 1. Resource & Reserve Base Defines how much material is available for extraction. 2. Production Rate Determines how fast the ore is mined and processed. 3. Mining & Processing Strategy Choice of mining method, equipment, and processing route. 4. Economic Assumptions Commodity prices, costs, and cut-off grade. 5. Closure & Rehabilitation Planning End-of-mine considerations integrated from the start. ⚙️ Why Life of Mine Matters 📈 Guides long-term investment decisions 💰 Influences cash flow and project valuation 🛠️ Aligns short-term plans with long-term goals 🌱 Integrates sustainability and closure from day one 📊 Helps manage risk and uncertainty over time A well-defined Life of Mine is the backbone of responsible and profitable mining. 💬 Do you think Life of Mine estimates should be conservative or optimistic? Share your thoughts. If this added value, like, comment, follow, and repost to support mining education.