AI-Driven Solutions – Water and Materials Management
Our water and materials management workflows encompass data collection through sophisticated instrumentation, efficient data management, advanced machine learning models, and actionable insights through intuitive dashboards.
LCG has a proven track record in helping clients overcome challenges using AI, including the following:
- Water
- Distinguishing naturally impacted water from mine-impacted water to inform closure decisions.
- Predicting seepage toxicity to guide treatment vs. discharge decisions
- Forecasting process water upset conditions to support trigger action response plans.
- Anticipating water level sensor responses to assist with mine dewatering and pit wall pressure management.
- Continuously analyzing passive and active treatment systems to optimize performance.
- Materials
- Projecting environmental and geometallurgical properties onto exploration assay databases for block modeling.
- Correcting and estimating missing assay data.
- Optimizing blast assay programs.
- Predicting material domains using downhole logged, assay, and spectral data.
The advent of modern high frequency sensor, cloud-based data management systems and advanced data analytics tools such as machine learning equip mine operators with much better decision-making capabilities. Our typical four step workflow includes the following steps: