Geostatistics and machine learning

We offer solutions and knowledge to properly conduct exploratory data analysis, interpolations, simulations, and enhanced interpretation leveraging the power of machine learning algorithms.

Increasing data volume and complexity calls for powerful interpretation and interpolation tools. We take advantage of advanced geostatistical analysis in harnessing the full potential of GOCAD Mining Suite. Our asset team conducts exploratory data analysis in order to better understand the relationships between geological, geochemical, and geophysical data sets. We offer conventional linear interpolation solutions to generate grids, soil maps, block model properties, etc. We also have the expertise and technology for better managing geological project risk using non-linear interpolation methods, such as conditional simulation and multipoint simulation using training images. These approaches are well known in the oil and gas industry and constitute an excellent way to optimize drilling grids and sampling spacing to decrease exploration cost.
At Mira Geoscience we have expertise in applying machine learning algorithms as custom solutions to complex geological and geotechnical problems. Our team is proficient at identifying the right algorithm to solve a given problem and evaluate its performance in prediction outcomes.

We apply our advanced geological modelling and geophysical inversion capability to create a fully integrated interpretation that captures all the relevant exploration criteria in a single earth model. Exploration criteria are combined using knowledge-driven and data-driven frameworks into a 3D model of relative probability of mineral deposit occurrence that can be used directly for drillhole targeting decisions.
Our team works across the complete spectrum of geophysical techniques. We provide analytical and interpretational value in ore body detectability analysis, survey design, geologically-constrained inversion, 3D geological modelling, integrated interpretation, drillhole targeting, contract geophysical research, and geophysical software development.

Related products

Machine learning is often seen as a black box—hard to interpret and trust. Our experts have developed an in-depth knowledge of the machine learning world and are able to exploit the advantages of both supervised and unsupervised learning.

Related resources

Software releases
January, 15 2019

Geoscience INTEGRATOR AI for exploration

Geoscience INTEGRATOR, the missing AI link for exploration. This unique web-based data management system is designed...
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Case studies
June, 10 2019

Let the data speak!

Four years ago, along with DMT Group, we started working with  JSC Apatit on their Kirovski and Rasvumchorr mines that...
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Case studies
September, 01 2019

Machine learning in mineral exploration

We have applied machine learning as part of custom solutions to complex exploration and geotechnical problems since 2015...
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Case studies
March, 29 2015

Using predictive modelling in mineral exploration

We carried out targeting work for IOCG-style mineralisation in the Mt Dore area of QLD, Australia. We produced a 3D model and predictive exploration map...
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Software tips
March, 31 2021

15 tips in 15 minutes

15 Geoscience ANALYST tips on advanced visualization and knowledge sharing...
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Software tips
March, 01 2019

Create array property from scalar properties

This command, found in GOCAD's Property menu, creates a multi-dimensional array property from user-selected properties...
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Software tips
December, 01 2020

Editing property transparency

In GOCAD Mining Suite, when you select a property its transparency can be edited...
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Developer’s sandbox
October, 28 2020

New clustering application in geoapps

geoapps - Exploratory Data Analysis (EDA), rock classification generation, or map alteration footprints
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Virtual Lecture – Archive
January, 19 2021

Depth-to-basement inversion using geometry and homogeneous VPmg inversion

Past event - View here or on our YouTube channel...
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Software tips
May, 03 2019

Documents linked to a project

When documents are linked to a project in Geoscience INTEGRATOR, it is possible to be more specific and link them to the project’s data sets...
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Software tips
December, 14 2020

Tagging query results

In Geoscience INTEGRATOR, this allows you to rapidly access that subset of objects. Instead of having to search and select multiple filters every time...
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Software tips
February, 02 2019

2D minimum curvature gridding

With Geoscience ANALYST Pro module, you can interpolate numerical data from points, curves and surfaces...
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Advanced geostatistics

Mira Geoscience is dedicated to working with clients to reduce exploration risk. Our advanced geostatistical tools enable our team to better assess relationships in data without compromising data dimensionality or subtleties. We offer a wide range of advanced methods in addition to traditional geostatistics and interpolation methods, including simulation of geological models to assess variability in geological domains to better plan exploration drilling and improve resource classification. Simulation of geological data with synthetic drill grids enables us to optimize drill patterns, decreasing the risk and costs of mineral exploration.

Machine learning solutions

Machine learning is often seen as a black box—hard to interpret and trust. Our experts have developed an in-depth knowledge of the machine learning world and are able to exploit the advantages of both supervised and unsupervised learning. Since each problem must be taken individually, we offer customizable algorithm selection and prediction performance evaluation to make sure you get the best results out of your data. We have developed a significant expertise in leveraging the power of artificial intelligence to solve problems in identifying the alteration footprints of mineral systems, classification of borehole geophysical data into consistent lithological categories, and assessing geotechnical hazard.  

Data sets we work with

Mira Geoscience ensures fast, intuitive, and accurate geostatistics and predictive models, regardless of your data types. We work with geological, geophysical, geochemical, and geotechnical data from different mining industry formats. We also have access to numerous predictive algorithms and cloud computing platforms to suit your project’s needs.

Our team of experts

Our specialized geostatistics and machine learning services offer an innovative approach by industry leaders in the geology field. Our geologists, geophysicists and software programmers work together to find the most efficient solution to big data problems. We work in close collaboration with clients to ensure that our geostatistical or predictive models are tailormade to help them bring their project to the next level.  

Our team of experts

Please contact our team for additional information about our products and services