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Georeka Environmental Software
9 software items found
by:GEOREKA Software based inLancaster, UNITED KINGDOM
Intuitive Machine Learning focuses on leveraging machine learning techniques to enhance geological modelling, particularly through the application of classification methods to categorical data. Unlike traditional numeric input methods like assay analysis, this approach enables a more efficient and faster categorization of geological spaces in 3D modelling. By labeling areas with categories such ...
by:GEOREKA Software based inLancaster, UNITED KINGDOM
GEOREKA’s 3D geological modelling software is versatile and adaptable. It is a like a Swiss army knife with many different tools. In combination with its unique modelling approach it can be made to fit any project be it Mineral Exploration or Industrial Minerals. The heart of all modelling is a data-driven processing engine. This engine provides implicit, data-driven modelling tools for ...
by:GEOREKA Software based inLancaster, UNITED KINGDOM
Here, we highlight some tools in our software specific for mineral exploration that can help you quickly understand the 3D geology and trends in your exploration ...
by:GEOREKA Software based inLancaster, UNITED KINGDOM
For about two decades now, the industry has been using the term implicit modelling intertwined with the term Radial basis functions (RBFs). It has become the de facto standard and has given people an appreciation of the method compared to explicitly digitizing domains. In the mining industry the terms implicit modelling and RBFs are used almost interchangeably. However, that is ...
by:GEOREKA Software based inLancaster, UNITED KINGDOM
The growing interest in machine learning (ML) has extended into geological modelling, enabling efficient 3D reconstructions of geological features from limited data. By focusing on categorical data rather than numeric ones, ML can swiftly classify geological units based on predefined categories like lithology, which is essential for constructing realistic geological models. The process involves ...
by:GEOREKA Software based inLancaster, UNITED KINGDOM
Our viewer imports a large variety of data. It can be used to dynamically visualize cross-sections and export them as (high-resolution) images. This version is free to use for research or commercial work. We only request you register your details through our 30 day trial download page. You will then receive an email with a link to the full trial version. At the end of the trial, the software ...
by:GEOREKA Software based inLancaster, UNITED KINGDOM
GEOREKA Software provides a comprehensive toolset for stratigraphic modelling, aiming to simplify the process of constructing geological models from stratigraphic drillhole data. The software supports various topography data inputs, including LIDAR scans or triangulated surfaces, facilitating the creation of accurate topographic models. When external data is unavailable, collar points can be ...
by:GEOREKA Software based inLancaster, UNITED KINGDOM
Machine Learning (ML) techniques, often perceived as complex, have been increasingly discussed across various industries, including mining. Despite some skepticism regarding their effectiveness, ML offers valuable solutions when correctly understood and applied. Key ML methodologies used in geological modelling include Neural Networks (NNs), Support Vector Machines (SVMs), and Gaussian Processes ...
by:GEOREKA Software based inLancaster, UNITED KINGDOM
This article discusses a novel technique for multi-element geological data clustering developed by GEOREKA. The approach is designed to improve the understanding of geological domains and formations by utilizing a form of clustering termed 'domaining.' Traditional methods like Kriging, which relies on single-element interpolation, have limitations, particularly in multi-element data analysis. The ...