Antamina

The Antamina mining unit is located in the valley of the same name, in the district of San Marcos, Ancash region, Peru. This operation has an estimated mine life through 2029, with total reserves amounting to 745 million metric tons. The deposit is a copper-zinc skarn type, with the presence of silver, molybdenum, and bismuth, and is currently recognized as the largest deposit of its kind in the world.

In this context, a series of specialized services and studies were developed to ensure the safety, efficiency, and sustainability of the operation, as detailed below:

• Field and laboratory geotechnical investigations: Execution of geotechnical investigations through test pits, geological-geotechnical mapping, and laboratory testing to characterize foundation soils, platforms, and waste dumps.
• Geotechnical studies for mining infrastructure: Development of geotechnical studies for mining infrastructure such as fuel stations, plants, pads, access roads, and camps, including stability and bearing capacity analyses.
• Assessment of pipelines and structures: Evaluation of stability and deformation in pipelines and associated structures, ensuring their operational integrity.
• Waste dump optimization: Analysis and optimization of waste dumps through deformation, infiltration, and water management studies to improve performance and safety.
• Geophysical subsurface characterization: Application of geophysical studies (seismic refraction, MASW, and electrical tomography) for subsurface characterization in linear projects and operational areas.
• Critical infrastructure design: Design and evaluation of critical infrastructure such as tailings dams and platforms, including liquefaction analyses and pre-feasibility studies.
• Geotechnical evaluation of roads and systems: Soil evaluation for roads, access routes, and weighing systems, ensuring suitable conditions for operation and transportation.
• Geotechnical and hydrogeological drilling consultancy: Consultancy services in geotechnical and hydrogeological drilling, integrating field and laboratory data for decision-making.