Our Solutions to Increase Production

Automating Production Drilling Data Analysis:
rock mass characterization with MWD techniques
Data-Driven Decision Making:
feedback loops + alerts for teams to track ore
Geostatistics + Machine Learning:

continuously update models + predict the next bench
Integrating Massive Mining Stage Datasets:
manage, process, + tie behaviors back to the ore block

MinePortal:
Leveraging the Cloud to Drive
Real-Time Results
 the future of mining is all orebody data in one platform updated automatically and continuously from machine learning algorithms

By reconciling all of your geology critical data in near real-time, mine planning teams receive updated orebody knowledge to make faster decisions that greatly impact a company's bottom line. Geology data-driven decision making with a single source of truth will identify ways to optimize operations and track ore and performance. Through an intuitive user interface your massive mine site datasets are available with a simple log in or reports can be delivered on a time table that fits your workflow. Your data is secure as we are Microsoft Azure Gold Partners. Applying our machine learning algorithms in the cloud makes your insights available fast via browsers or mobile devices.  We've also partnered with many software companies to ensure your workflow is not disrupted (MineStar, MineSight, Terrain, ShotPlus, and more).

RHINO: 
Using the Drill as a
Connected Sensor
 the future of mining is all orebody data in one platform updated automatically and continuously from machine learning algorithms

Out compact RHINO IoT sensor package can be installed in minutes and measures a variety of previously unavailable rock properties. These seismic while drilling sensor devices are deployed on drills and collect measurements along every 1-centimeter of drilled blast hole, far exceeding the resolution possible with conventional MWD technology. Blast-critical subsurface information measured by this revolutionary tool includes compressional and shear moduli, compressive strength, density, velocity, and more. Such high-resolution insights enables highly accurate detection of waste boundaries, faults, fractures, and many grade indicators. Once data is recorded it is streamed to MinePortal and through a multi-step transformation it is analyzed to characterize the rock mass.

Geology Specific Solutions:
Iron Ore, Met Coal, Metals

Graphic identifying the future of mining is all orebody data in one platform updated automatically and continuously from machine learning algorithms

DataCloud’s geology specific solution sets have been designed to reduce operating pain points for some of the mining industry’s largest markets. Our integrated technology provides rock mass characterization data and real-time insights for iron ore, coal, base metals, and precious metals. This includes grade proxy measurements for ore and waste boundary detection, geostopping above seams for coal loss avoidance, void detection, automated production data analysis, adaptive blasting, and next bench or stop predictions to optimize burden and spacing.

To learn more about each individual solution set, read on for iron ore, met coal, or base metals.

Explore how to

Optimize your mine
"We take the streamed rock mass data from DataCloud into our ShotPlus design and modeling software, this allows us to interpret the data and then visualize and design different blast different sequences and model the
optimal blast outcomes. By measuring and optimizing each blast, you can sort the muck pile much faster, getting the waste rock out and the small ore into the the process stream, this is where the big benefits are delivered."
Angus Melbourne, CCO Orica