3D coal modelling
We offer a powerful 3D geological modelling solution that addresses the business need to include complex fault networks, vertical repeats, folding, and additional 3D geometries into coal seam models. Overburden modelling, which is crucial for better mine design and improved blasting decisions is also part of the solution. All of which leads to substantial operational cost savings and increased profitability.
With years of experience carrying out complex geological modelling projects, we are specialists in providing our clients with innovative interpretation and modelling processes. We were able to call upon that experience and expertise to develop the proof of concept, as well as implement systems, establish workflows, and set up tools specific to the coal industry. This resulted in a new line of software bundles for GOCAD® Mining Suite: SKUA Structural Modelling for Coal and SKUA Geostatistics for Coal. These bundles offer the repeatability and speed advantages of implicit modelling, resulting in a modelling environment that allows any fault complexity and representation. Our 3D coal modelling solution also deals very well with anisotropic horizons, not allowing intersection of coal seam roofs and floors. Our coal solution provides users the simplicity of 2D grid modelling with the geological complexity of 3D volumetric surface modelling. It also facilitates rapid updates of coal models with newly acquired data.
SKUA Structural Modelling Bundle
Developed to allow you to quickly build 3D models defined by fault networks and stratigraphic horizons. It uses a volumetric modelling algorithm that builds the entire 3D model in a single pass. It also includes a comprehensive set of tools for displaying and performing quality control of geologic data in 'composite' log display views, cross sections and maps.
SKUA Geostatistics Bundle
In addition to Structural Modelling bundle functionalities, it allows you to construct a gridded version of the 3D structural model output by SKUA Structure. It is designed specifically for applying geostatistical techniques in a faulted and folded geologic environment. It contains a flexible and dynamic workflow for populating grids with multiple properties. It offers an extensive suite of geostatistical algorithms for spatial estimation and simulation to model any continuous variable.