Advanced Exploratory and Geochemical Data Analysis in GOCAD by Connecting to ioGAS via an XML-Based TCP/IP Link.
Gervais Perron and R. Wall and R. McLeod and W. Cai. ( 2012 )
in: Proc. 32nd Gocad Meeting, Nancy
Abstract
Nowadays, geoscientists are collecting more multi-disciplinary data in the hope of capturing specific multi-variate signatures that would help them characterize their exploration, production or remediation challenges. It has become important to be able to very quickly perform exploratory data analysis, not only in data space, but also in the context of a common earth model. 3D spatial queries, such as proximity, domain, trend and intersection queries are important to correlate geoscientific data with the spatio-temporal processes that characterize them. GOCAD is well suited to perform simple uni and bivariate analysis using histograms, cross-plots and basic statistics reports. On the other hand, multi-variate analysis such as principal components analysis has never been commercialized and several basic tools and plots are still missing. Specific data types often call for special analytical tools. This is the case for geochemical data which utilizes plots like ternary diagrams and others. Geochemical data analysis is a central discipline in the mining and environmental industries. It is used to identify rock type, define alteration and characterize contaminants.
It was quickly recognized that building all these functionalities within GOCAD was not the optimum way to proceed. Instead, Mira Geoscience and ioAnalytics have co-developed a XMLbased TCP/IP link to connect the GOCAD Mining Suite to the ioGAS exploratory and geochemical data analysis platform. With this link, queries made in data space are automatically rendered in 3D space and vice-versa.
This new model of communication provides an efficient and seamless link between the GOCAD Mining Suite and third-party applications. The goal when combining applications is to generate added value beyond what these applications can deliver on their own.
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BibTeX Reference
@inproceedings{PerronGM2012, abstract = { Nowadays, geoscientists are collecting more multi-disciplinary data in the hope of capturing specific multi-variate signatures that would help them characterize their exploration, production or remediation challenges. It has become important to be able to very quickly perform exploratory data analysis, not only in data space, but also in the context of a common earth model. 3D spatial queries, such as proximity, domain, trend and intersection queries are important to correlate geoscientific data with the spatio-temporal processes that characterize them. GOCAD is well suited to perform simple uni and bivariate analysis using histograms, cross-plots and basic statistics reports. On the other hand, multi-variate analysis such as principal components analysis has never been commercialized and several basic tools and plots are still missing. Specific data types often call for special analytical tools. This is the case for geochemical data which utilizes plots like ternary diagrams and others. Geochemical data analysis is a central discipline in the mining and environmental industries. It is used to identify rock type, define alteration and characterize contaminants. It was quickly recognized that building all these functionalities within GOCAD was not the optimum way to proceed. Instead, Mira Geoscience and ioAnalytics have co-developed a XMLbased TCP/IP link to connect the GOCAD Mining Suite to the ioGAS exploratory and geochemical data analysis platform. With this link, queries made in data space are automatically rendered in 3D space and vice-versa. This new model of communication provides an efficient and seamless link between the GOCAD Mining Suite and third-party applications. The goal when combining applications is to generate added value beyond what these applications can deliver on their own. }, author = { Perron, Gervais AND Wall, R. AND McLeod, R. AND Cai, W. }, booktitle = { Proc. 32nd Gocad Meeting, Nancy }, title = { Advanced Exploratory and Geochemical Data Analysis in GOCAD by Connecting to ioGAS via an XML-Based TCP/IP Link. }, year = { 2012 } }