The Resource Modeling Solutions Platform is an easy to use Python library wrapping a high performance engine for modern geostatistics. Build auditable resource modeling workflows quickly using the latest in proven geostatistical algorithms.
The Resource Modeling Solutions Drill Hole Optimizer (DHO) is an optimization program that optimizes infill drilling plans to maximize return on investment. DHO takes practical site access and budget constraints supplied by mine geologists and engineers to plan optimized infill drill holes to convert resource to measured and indicated.
Resource Modeling Solutions consults on geostatistics and geometallurgy challenges delivering custom solutions including expert technical work, custom software, and training solutions. Get in touch so we can discuss your project needs. The Resource Modeling Solutions Team are actively engaged in providing technical assistance and undertaking routine and advanced resource modeling. Extensive experience is available to address Mineral Resource Estimation and Reservoir Modeling challenges.
We consult on probabilistic resource modeling, risk management of mine tailings, prediction and optimization of mill performance with machine learning, micromodeling of formation image logs, automated modeling systems for tactical decision making, infill drill hole optimization, and high resolution ore control models among other areas in geostatistics and geometallurgy.
Resource Modeling Solutions offers training classes and workshops on introductory and advanced topics in geostatistics and geometallurgy. Teaching intensive short courses to industry has been an important part of the Team’s activities for many years. Many courses are actively taught internally for organizations and publicly. Subjects range from Fundamentals of Geostatistics to Advanced Multivariate Geostatistics in addition to mining, geometallurgy, and petroleum specific classes.
Public online classes on the Fundamentals of Geostatistics and Advanced Geostatistics were offered in May 2020. Sign up for our mailing list below to be notified of future course opportunities.
Blog - Scenarios vs Parameter Uncertainty
An important goal of modern resource modeling is accurate and precise assessments of uncertainty for production volumes relevant for technical and economic decision making. Volumes of relevance often relate to weekly, monthly, quarterly or annual production. These volumes are large and, for the most part, short scale high-frequency variations cancel out. This explains why simulated realizations from a fixed modeling workflow with fixed parameters often understate uncertainty. Careful consideration of large scale geological uncertainty is required to provide realistic asessements of production uncertainty. There are alternatives to incorporate such larger scale uncertainty....
We deliver solutions to resource modeling challenges in the mining, energy, and environmental sectors. Our solutions are custom designed to deliver expert technical work, software, and training. Find a solution for your resource modeling challenge.