After working on many sites, I keep seeing the same mistakes repeated by young surveyors. Not because they lack talent. Mostly because nobody teaches them the small details that matter. Here are a few common ones: • Not checking control points before starting work • Trusting GNSS accuracy without verifying • Poor tripod setup or leveling • Skipping instrument calibration • Rushing measurements to save time Surveying looks simple from outside. But small mistakes can lead to big problems later in construction. Good surveyors are not just fast. They are careful. They double check. They understand that one wrong coordinate can affect the whole project.

During site investigation, these are the key terminologies that must be logged accurately. 1️⃣ Discontinuity Set Group of joints/faults with similar orientation. Identified via structural mapping and stereonet analysis. 2️⃣ Dip & Dip Direction Orientation of the plane (e.g., 45°/120°). Critical for kinematic analysis in slopes and tunnels. 3️⃣ Spacing Perpendicular distance between joints of the same set. Controls block size and deformability. 4️⃣ Persistence Trace length/continuity of a joint. High persistence = higher large-scale failure potential. 5️⃣ Roughness Surface texture (smooth to very rough). Governs shear strength and dilation (linked to JRC). 6️⃣ Aperture Opening between joint walls. Influences permeability and deformability. 7️⃣ Filling (Infill Material) Clay, calcite, gouge, etc. Often reduces shear strength dramatically. 8️⃣ Seepage Groundwater condition (dry to flowing). Directly affects effective stress and stability. 9️⃣ Wall Strength Strength of intact rock forming joint surfaces. Assessed via hammer tests or point load index. 🔟 Block Size Result of joint spacing and orientation. Controls stand-up time and support requirements.

Hace 4 años, en un proyecto FONDEF entre ALGES y DELPHOS Mine Planning Laboratory, demostramos algo que la industria prefiere ignorar: el modelo determinista tradicional es una simplificación peligrosa. Usamos el supercomputador Leftraru para procesar 1,000 escenarios de simulación geoestadística y 1,000 pits finales. ¿El resultado? Una precisión en la estimación de reservas que el Kriging simplemente no puede alcanzar. La realidad es cruda: Operar con un modelo único es como cruzar un río basándose en la "profundidad promedio". Si el promedio es 1.5 metros, pero hay un pozo de 3 metros, te vas a ahogar. En minería, ese "pozo" se traduce en millones de dólares en pérdidas, planes de producción incumplidos (o estimaciones muy por debajo para asegurar el cumplimiento) y procesamiento de mineral con una variabilidad más alta de la que planeábamos. Tras mi experiencia en Andesite, me di cuenta de algo que subestimé en la academia: El desafío no es sólo el algoritmo, sino también la adopción. ¿será que lo que nos falta no son más datos, sino que es la falta de coraje tecnológico? ¿Por qué seguimos abrazados a modelos que subestiman/ocultan el riesgo? La zona de confort: Es más fácil defender un error si "todos los demás lo cometen de la misma forma". El fetiche de la certeza: Preferimos un número exacto que está equivocado, que un rango de probabilidad que es real. Miedo a la Caja Negra: Si quien toma las decisiones no entiende el modelamiento estocástico, no se firma. Y preferimos la seguridad del pasado sobre la rentabilidad del futuro. Hoy no hay excusas. Ya no necesitas un supercomputador de un centro de Investigación tecnológico; con el poder actual de la nube puedes procesar 100 escenarios en el tiempo que te tomas un café. La tecnología ya no es el cuello de botella. El cuello de botella es el mindset de quienes impulsan su adopción. Abro el debate: ¿Estamos realmente innovando o solo estamos digitalizando procesos obsoletos? ¿Es hora de jubilar el modelo determinista en el largo plazo?

I’m preparing to start a short video series explaining effective mine transportation of materials in mining operations. Before we begin, it’s important to understand some basic factors that influence loading and transportation efficiency: 1️⃣ Bucket Capacity – The maximum volume of material that a loader or excavator bucket can hold, usually measured in cubic meters (m³). It determines how much material can be moved in one loading cycle. 2️⃣ Swelling Factor – The increase in rock or soil volume after blasting or excavation. Broken rock occupies more space than in-situ rock, which affects hauling and storage calculations. 3️⃣ Bucket Fill Factor – The ratio of the actual material loaded in the bucket to its rated capacity. It reflects the efficiency of loading operations and depends on material type and operator skill. Understanding these factors helps improve equipment productivity, haulage planning, and overall mine transportation efficiency. Stay tuned for the upcoming video where I will explain effective mine transportation methods and practical calculations used in mining operations.

Jour 15/30 du Challenge 📘 Fiche Exercice N°15 : Simulation gaussienne conditionnelle – De la génération de champs aléatoires à la représentation de l’incertitude spatiale ✍️ Ing. NGUEYAP AMBANI AUGUSTIN SERGE (Ingénieur Géologue – Spécialiste) Cette fiche présente : 1. Objectif de l’exercice 2. Rappel mathématique fondamental 3. Mise en contexte géoscientifique 4. Données fournies 5. Questions 6. Corrigé détaillé et commenté 7. Transition vers la géostatistique 8. Application pratique (R / Python) 9. Synthèse 10. Remerciements et perspectives 🙏 Merci à toutes celles et ceux qui aiment 👍, commentent 💬 et partagent 🔄 ce contenu. Votre soutien nous permet de continuer à proposer des formations de qualité. 🤝 Nous restons disponibles pour échanger et collaborer avec toute personne intéressée par ces thématiques.

The top 30 miners are projected to spend $121.6 billion in 2026, a decade high. After the supercycle bust of 2013–14, the sector spent a decade deleveraging. Free cash flow went to balance sheets, not projects. Now capital is moving again, but the character of that spending tells a different story to the headline number. Copper dominates the agenda with BHP, Rio Tinto, Glencore and Freeport-McMoRan all flag it as the priority. But look at where the money is actually going. Brownfield expansions. Debottlenecking. Sustaining capex at mature operations. Resolution, El Pachón, Sakatti are either deferred or still years from first production. Anglo American is cutting capex to the bone ahead of a potential Teck Resources Limited merger. Vale trimmed its 2025 budget by $1 billion. The industry is spending more, but it's spending defensively. Cash-generative incumbents are being sweated harder. New supply isn't being built, it's being studied, postponed, or quietly shelved. This matters because the demand projections driving these investment decisions assume copper, nickel and critical minerals will be needed at scale within the decade. The supply response required to meet that demand isn't in the pipeline at the pace or volume needed. Capex is rising, but the structural gap between what's being built and what will be needed keeps widening. After 2027, spending is forecast to fall again as major projects wind down. The industry will face the same growth dilemma it's been circling for years just with less time to solve it. Rational decisions at the company level. A collective failure at the industry level. For more of my takes on the resource industry sign up to my weekly newsletter www.kamoacap.com Source: S&P Global Market Intelligence, March 2026

In open-pit mining, productivity depends heavily on how efficiently material moves from the pit to the processing plant or waste dumps. At the centre of this movement are haul roads — the pathways that carry thousands of tonnes of material every day. This week, we examine the significance of haul road design and its crucial role in ensuring safety, minimising costs, and enhancing operational efficiency. 🚜 What Are Haul Roads? Haul roads are specially designed roads used by heavy mining trucks to transport ore and waste within a mine. These roads must withstand extremely heavy loads while allowing safe and efficient truck movement. Unlike public roads, haul roads are engineered specifically for large mining equipment and continuous operations. 📏 Key Elements of Haul Road Design 1. Road Width Must accommodate large haul trucks safely, especially on two-way traffic routes. 2. Gradient (Slope) Steeper roads increase fuel consumption, reduce truck speed, and increase wear. 3. Road Surface Quality Proper grading and maintenance reduce tyre damage and improve vehicle stability. 4. Safety Berms Raised edges along the road prevent trucks from accidentally leaving the roadway. ⚙️ Why Haul Roads Matter 🚀 Improves truck productivity and cycle times 💰 Reduces fuel consumption and operating costs 🛠️ Minimises equipment wear and tyre damage 🛡️ Enhances safety for operators and equipment 📉 Reduces downtime due to poor road conditions Well-maintained haul roads can significantly improve overall mine performance. 🎯 The Bigger Picture Haul road design may seem simple, but it directly influences: Truck efficiency Production targets Operating costs Safety performance In many mines, small improvements in haul road quality lead to major gains in productivity. 💬 In your experience or opinion, what affects haul road performance the most — gradient, surface condition, or traffic management? If this added value, like, comment, follow, and repost to keep advancing mining knowledge.

¿Sabías que la sincronización entre taladros determina no solo la fragmentación, sino también la geometría de la pila, las vibraciones y la seguridad de tu operación? Dominar el arte del tiempo en voladura es lo que separa una voladura eficiente de una fuera de control. 🧠 Claves técnicas que debes conocer: ⚡ La Ventana de los 8 Milisegundos Si dos taladros inician con menos de 8 ms de diferencia, actúan como una sola carga. Esto puede amplificar vibraciones y generar sobre rotura. 📏 Alivio de Tiempo (ms/m) Se mide en milisegundos por metro de burden. El intervalo correcto define si la pila será compacta (ideal para palas) o extendida (para cargador frontal o cast blast). 📊 Guía rápida de intervalos: 🔹