Geologic Modeling

MDA geologists combine their knowledge of general geology, mineral domains and ore deposits with the use of sophisticated software to create comprehensive and dynamic geologic models.

Our geologists use their experience to bring the right combination of geology and modeling techniques to get the best results. In this example long sections and solids were used together to accommodate each individual metal’s behavior. This particular model also used level plan modeling. The long sections and level plans were constructed as the final 3-D rectification of the sectional interpretations. But not all deposits need solids constructed. In fact, many deposits are too complex to model using solids, inevitably requiring shortcuts be taken, deviating from honoring the geology and deposit.

Our software includes AutoCad, ArcGis and GeoSequel along with mining software Surpac and MineSight to ensure seamless integration of our client's data, as well as datasets from other sources, enabling our clients to visualize their overall project in a single environment.

MDA is able to:

Review and include historic exploration and mining data

Evaluate and utilize geologic controls that influence the distribution of mineralization - The quality of the modeling and estimation of any deposit is greatly dependent upon the understanding of the geologic controls of the mineralization and the level to which this understanding is reflected in the final model.

Resource modeling using geologic principles including, but not limited to, grade - A full understanding and appreciation for the relationships between geology and grade give confidence to any estimate. The incorporation of geology into the resource estimate forms one of the most integral steps in understanding the data and the mineral deposit. Statistical evaluations on existing data and/or spatial analyses may reveal significant information.

Domain modeling - Mineral domains are one of the more important components of a resource estimate. Geology is compiled and interpreted, classical statistics are performed and the analytical data are used to define natural populations. Grades of the minerals are coded that represent the natural populations and these are used in conjunction with the geology to define the mineral domains. The final mineral domains are a product of the union of the geologic and analytical (quantitative) data.