EXTON, Pa. – December 13, 2021 – Bentley Systems, Incorporated (Nasdaq: BSY), the infrastructure engineering software company, today announced that its Seequent business unit has acquired Denver-based Advanced Resources and Risk Technology, LLC (AR2Tech), a developer of geostatistical software applications. The acquisition provides Seequent with state-of-the-art geostatistics algorithms, technology, and IP for complex geospatial problem solving, complementing its geological modeling solutions and workflows, to help solve earth, environmental, and resources challenges.
AR2Tech represents a new generation of geostatistics and spatial data analysis solutions for mining, environmental sciences, and energy. Its state-of-the-art, high-performance algorithms and workflows for cloud and desktop enable users to create and optimize a diverse set of models, even with millions of cells, without performance bottlenecks. AR2Tech’s algorithm library can be applied to a wide range of geostatistical modeling and data science methods, supporting functions that are data-centric and rely on machine learning. Solutions can be used stand alone or integrated with other software, including Seequent’s Leapfrog 3D geological modeling solutions.
Mining companies use AR2Tech’s solutions for geostatistical modeling for conditional simulation and estimation models of complex orebodies, with algorithms customized for specific deposits. Environmental sciences professionals use customized workflows for data management, spatial evaluation, and risk assessment, designed for applications including stochastic simulation of the subsurface for water modeling, sampling evaluation and strategy, integration of remote sensing data in the geostatistical model, and characterization of pollutants.
Graham Grant, chief executive officer of Seequent, said, “We’re delighted to welcome to Seequent the elite and talented AR2Tech team in Denver and Brazil. AR2Tech’s technology stack and world-leading expertise in geostatistics, geomodeling, and spatial data integration strengthen Seequent’s capabilities in these areas. The acquisition will help accelerate our development of new geostatistics solutions and create seamless end-to-end workflows with Seequent’s advanced modeling solutions. We’re excited to make this investment for our mining, environmental, civil, and energy users to take geomodeling to the next level.”
AR2Tech founder Dr Alexandre Boucher said, “We’re proud to be joining Seequent and sharing our cloud-first approach to solving geosciences challenges. With Seequent, we will realize our goal of bringing the next generation of geostatistical algorithms to the geomodeling community. We have developed and optimized algorithms for geomodeling for over a decade, including conditional simulations for risk and uncertainty studies. Combining forces with Seequent, we can create new practical and accessible solutions for geoscience professionals.”
For more information, please visit https://www.ar2tech.com/
AR2Tech’s geostatistical library offers a state-of-the-art version of all foundational geostatistical algorithms, with a user interface to leverage the power of these algorithms.
AR2Tech’s algorithm library and engine for geostatistical modeling can be implemented in mining to enable conditional simulation and estimation models of complex orebodies. Its direct block simulation algorithm allows the generation and validation of large models more efficiently. In addition, it enables and automates multivariate simulations on point or block support, simulation of geology with indicator or training images, and customization of algorithms.
AR2Tech is advancing geomodeling with unstructured grids and gridless geostatistics. With grid cells of various geometric shapes and sizes, unstructured grids accurately represent geological complexities seen in deposits. Gridless properties exist outside of any discrete gridding system and can then be applied on grids of any type or resolution for further engineering considerations. That technology allows an adaptive workflow where property resolution can be modified in real time in critical areas. Gridless and unstructured grids provide geologists with a modern and flexible geological modeling framework free of engineering constraints.