Bruno Afonseca, Principal Resource Geologist, Glencore
I particularly value RMSP for how it integrates the latest research developments in geostatistics. It offers a complete toolkit of advanced techniques that can be turned into practical and efficient workflows. Also, RMS counts on professionals of the highest order in their field, whose support helps users tackle heavy tasks with a nice mix of theoretical and practical eyes.
Celeste Wilson, Principal Resource Estimation – Copper Technical, Rio Tinto
Since its launch, RMSP has consistently exceeded our expectations, setting a new standard in the Geostatistics software space. Its unmatched customer service provides quick, actionable solutions, detailed feedback, and example workflows for every question we’ve posed. They don’t just provide workflows for ideas – they share valuable insights on their application and relevance, ensuring we understand the best use cases and that for some ideas – we understand the risks and drawbacks. Some of the innovative features we’ve used, like cube localization (which we successfully tested on a vertical underground orebody), a workflow for sorting questionable domain data, grade-driven locally varying anisotropy, centralized validation tools, and the 'un-infiller' for uncertainty analysis, have transformed our processes. The speed alone has made it so that instead of spending all our time on monotonous tasks (inputting parameters, running each domain and each workflow process manually), time is now better spent on analysis, Geostatistics and calibrating/fine-tuning the models to the desired outcome. RMSP's adaptability makes it easy to transfer workflows between projects with minimal adjustments, which is invaluable in fast-paced environments. Even if a specific feature isn’t available, their team collaborates with you to create a quick and effective solution. RMSP has become an essential part of our toolkit, making complex geostatistical workflows faster, easier, auditable, and more reliable. Above all, you are getting the best training from subject matter experts in this field who are keeping up to date on everything related to Geostatistics.
Emet Arya, RioExpert, Rio Tinto
RMS is a game-changer in mining value chain optimization. Their rapid orebody modelling and automation capabilities have transformed how we manage uncertainty, enabling faster, more informed decisions. The flexibility of RMS to adapt to our unique workflows has significantly streamlined our processes and improved efficiency. Their support team is exceptional, making RMS not just a product but a vital partner in driving digital transformation in mining.
Laercio Bertossi, Senior Resource Geologist, Glencore
My first encounter with Python 8 years ago showed me how automation could completely change the way we work, and RMSP has taken it to another level. Its flexibility lets us adapt easily to complex and unique deposits like the George Fisher Mine, saving time and improving efficiency.
RMSP makes the whole resource estimation process smoother: from data validation to estimation, model validation, classification, and final reporting. Everything can be customized and automated through scripting to match the specific needs of any deposit.
The support from the RMSP team has been a big help throughout. With RMSP, we get better results with more confidence, which means more precise mining plans and operations.Caio Gomes and Renan Lopes, SLR Consulting
RMSP has allowed us to streamline complex workflows by incorporating advanced geostatistical methods, such as continuous and categorical simulations, de-trending, multiple imputation, unfolding, multivariate decorrelations, and more, many of which are unavailable elsewhere. It has significantly enhanced the efficiency and quality of our resource estimation process. Having all of this seamlessly integrated into Python, enabling combination with other tools, has been a game changer for us at SLR.
Kristin Chislett, Principal Resource Estimation, Copper Technical, Rio Tinto
RMSP is the most innovative geostatistical software on the market, known for its advanced capabilities and backed by a responsive support team. Their support team not only assists with scripting and workflow setup but also provides in-depth expertise in geostatistical theory. One of the key features I have been working with is the grade-driven local varying anisotropy (LVA). This tool is particularly useful for modeling deleterious elements, where geological controls are often less understood. By leveraging this approach, RMSP enhances our ability to visualize trends and gain deeper insights into the underlying geology. Additionally, the software's API facilitates seamless import and export capabilities with most major geological platforms used across various departments, significantly increasing the useability of the LVA model. This enables it to be tested and visualized in whichever software is most suitable for the specific needs of the project.
Furthermore, the ability to integrate various Python libraries and incorporate LaTeX for reporting within a single software package streamlines the process and ensures an auditable and repeatable workflow, for either a global resource or grade control model sets RMSP apart as an unparalleled solution in the industry.