SME 2019: Mine Water: Friend or Foe

Modern Data Management for Large-Scale Dewatering Tests

Environmental   |   Monday, February 25   |   3:45 pm     Room 108

Modern technology allows collection, transmission, and compilation of enormous amounts of data in near-real time. Mine permitting, engineering tradeoff studies and design of mine dewatering systems all benefit from large scale pumping tests to evaluate impacts to water resources. Tests to stress the hydrologic system to the extent that can be used to reasonably evaluate future mining and post mining impacts can involve large pumping rates over long durations with dozens to hundreds of monitoring points that ultimately accumulate millions of data values. A pumping test at Newmont’s Long Canyon mine in Eastern Nevada is a good example. The test was conducted at 4,000 to 5,600 gpm pumping from three wells over a span of 75 days was monitored at 192 groundwater monitoring wells and piezometers and 35 surface water monitoring stations that recorded data on 1 to 15-minute intervals, producing a very large volume of data. Automated data are telemetered SCADA database and uploaded to a web page that displays tables and time plots in near real time. Expedited data management allow a more rapid use of model predictions to support mine planning trade-off studies and permitting.

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Larry Cope
Principal Hydrogeology Consultant

Larry Cope is a principal hydrogeologist with 25 years experience consulting to the mining industry.  He specializes in aquifer hydraulic testing and analysis, hydrogeologic characterization, mine water management, and environmental data management. Larry has collaborated with clients to evaluate and manage mine water inflow, develop mine water supply, conduct investigations for dewatering, design groundwater monitoring programs, and perform statistical evaluation of water chemistry data to meet regulatory reporting and internal client performance evaluations.

Ben Radtke
Ben Radtke
Hydrogeology Consultant

Ben Radtke is a hydrogeology consultant with a focus on field programs execution and groundwater modeling. Ben has experience in groundwater flow modeling with MatlabTM, seismic and GPR data processing and manipulation with SeispaceTM, 2D and 3D seismic interpretation with PetrelTM , ArcGIS, and Python programming language.

SME 2019


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