DataCloud’s fully integrated technology and analytics platform enables you to process massive volumes of data and create real-time, actionable insights that dramatically improve your processes, performance and productivity. DataCloud’s mission: Use advanced technology to keep you ahead of the game – and the competition.

Combining World-Class Technology and Mining Industry Expertise

DataCloud has assembled a best-in-class group of experts from the technology industry and top-tier institutions such as UC Berkeley, Cambridge, and Stanford, who have deep expertise in geoscience and blast-wave analysis. By bringing together leaders in both mining and technology, we are solving many of the problems that have challenged the mining industry for decades.

First among those mining industry challenges is improving drill and blast outcomes. This represents the highest value creation opportunity for mining operators. To help mining companies solve these challenges and capitalize on the huge opportunities, DataCloud has built real-time geoscience solutions that provide the subsurface characterization data required to optimize differential blasting plans. These DataCloud geoscience solutions are based on advanced digital and artificial intelligence technologies such as cloud computing, neural networks, machine learning, advanced visualization, and IoT sensor systems.

Fragmentation Optimization: Key Driver of DataCloud’s Technology

A key driver of DataCloud’s breakthrough technology solutions is based on the concept of fragmentation optimization. This approach offers radical improvements in mine productivity and profitability. With fragmentation optimization, ore bodies are blasted in such a way that the ore itself is finely fragmented while waste material is coarsely fragmented, allowing for efficient, simple size sorting. Fragmentation optimization is a specific solution for lower grade mining operations, however all mines can benefit from this geoscience approach. Reducing the fragment size variance can improve “digability,” reduce secondary breakage, and increase mill throughput.

The most critical element of fragmentation optimization is differential blasting. Studies show mine NPV can be increased by almost 10% by differential blasting alone. In differential blasting, blast-hole burden and spacing are configured based on a pre-drill geologic model of the bench, which is developed from appraisal holes and enhanced using a proprietary, patented geophysical imaging technology designed specifically for mine bench characterization. While the blast-holes are being drilled, DataCloud collects high resolution SWD (Seismic While Drilling) and formation imaging data. This data is integrated with MWD (Measurement While Drilling) data in real-time to create a high resolution, centimeter scale geologic and mechanical model of the bench. Using this model the blast engineer can estimate spatially variable fragmentation distribution and optimization results for different blast parameters.

DataCloud has also developed a proprietary blast design module that solves for the vertical distribution of explosive energy, detonation velocity, and stemming/spacing parameters for each drill-hole as a function of depth.

Fragmentation optimization is a game-changer for mining companies that today face myriad challenges, including declining mine productivity and global competition. DataCloud is leading the way in leveraging this breakthrough geoscience technology to help its mining clients to improve productivity, profitability and safety, while lessening the environmental impact of their operations.

Fragmentation optimization is at the core of how DataCloud is helping its clients to master the subsurface and “Know the Rock.” Please contact us to learn more.

Sensors to Characterize the Bench

DataCloud’s technology team is based in Silicon Valley, right in the heart of the latest advances in innovative digital technology, including sensors. These new sensors are essential to DataCloud’s advanced mining technology solutions. Historically, high quality, precise measurements were expensive and slow, interrupting the mining process and requiring additional specialized crews at the mine. DataCloud sensors are designed with the following guiding principles:

  • Keep off the critical path; all measurements are made without slowing down or stopping the mining process.
  • Don’t add people to the bench; DataCloud’s sensors are either autonomous or can be deployed by staff doing existing tasks on the bench
  • Use the latest generation of sensor technology; wherever possible we use the same technology as your smart phone – cheaper, smaller and faster!