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Fast Resource Estimation Helps Improve Operational Efficiency
技术
- 分析与建模 - 实时分析
适用行业
- 矿业
适用功能
- 离散制造
用例
- 预测性维护
- 过程控制与优化
服务
- 数据科学服务
挑战
The mining industry is facing a challenge with the increasing size of datasets as mining companies develop and expand existing properties. The large data size has made it difficult for mining software to keep pace, often taking hours or even days for geology and mine planning applications to update models. This delay in updating models can lead to inefficiencies in production scheduling and increased costs. For instance, if waste material is sent to processing, the mining company will spend unnecessary money without a return and create unnecessary wear on equipment, shortening its life cycle and driving up maintenance costs.
关于客户
Marco Alfaro Consultores is a consulting company based in Santiago, Chile. The company offers services in ore deposit evaluation, specifically in the areas of ore sampling, geological modelling, geostatistics and resource estimation. By applying geostatistical theory in conjunction with the latest available technology, Marco Alfaro Consultores provides practical and efficient solutions for today’s mining industry. Andres Beluzan, a Mining Civil Engineer and Executive Director of Marco Alfaro Consultores, has been using Surpac for his work in geological resource estimation for over a decade.
解决方案
Dassault Systèmes has delivered one of the best resource estimation experiences in the industry with its latest version of GEOVIA Surpac. The software uses multi-threaded technology that allows the majority of block modeling functions to use all available processors or cores. This results in up to a 95% reduction in processing times for block model operations such as estimations, block maths, constraining, and reporting. With Surpac 6.7, Marco Alfaro Consultores was able to achieve estimation results at processing speeds nearly 17 times faster than previous versions of the software.
运营影响
数量效益
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