Abstract:
The types and magnitude of data collected at mine sites pose unique challenges. Instrumentation deployment is growing exponentially, automation is becoming commonplace, and the sophistication of data processing tools are evolving daily. However, data availability does not translate to data usefulness, which in turn hinders informed decision-making. Owners, responsible executives, and operators can be inundated with data, especially as emerging standards (e.g. GISTM) strongly suggest the implementation of a multi-disciplinary knowledge base. A wide variety of commercial tools exist to manage data, however they are often too rigid. SRK has developed a flexible data management framework to address these challenges. The principles of this framework include: • Assignment of data management responsibilities • Flexibility of data ingestion protocols • Centralized management with data mirroring • Data QA/QC with subject matter expertise. This presentation will discuss successful application of this framework to sites with over 100 years of historical data and high throughput of presently-collected data, focusing on surface water, groundwater, and geochemical data.
Session: Environmental: Mining Hydrogeology
Location: North 125A
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