MINERALS DOWN UNDER Using Spatial Data Infrastructure (SDI) to: enable interoperable data exchange & usage to deliver corporate decisions Ryan Fraser 19.

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Presentation transcript:

MINERALS DOWN UNDER Using Spatial Data Infrastructure (SDI) to: enable interoperable data exchange & usage to deliver corporate decisions Ryan Fraser 19 th July 2012 “Exploration & Mapping in Mining”

Agenda 1.Vision – Decision Support 2.The Past and Present 3.The Then (future directions) 4.How does this lead to the Vision? Using Spatial Data Infrastructure (SDI) | Ryan Fraser | Page 2

Business/ Societal Decision Business Problem – mine viability, uncertainty analysis Mine Planning - Integrated Science Domain Business Planning – Economic Viability Integrated Science/Business Domains Geophysics Geology Geodesy Economic Forecasts Risk Planning Virtual Laboratories: Specific Science/Business Domains GeophysicsBorehole data Geodesy Economic Modelling Risk Registers Virtual Libraries Processing Services Data Middleware Processing Services Data Middleware Processing Services Data Middleware Processing Services Data Middleware Processing Services Data Middleware Modelling & analytic tools The Vision…

Future of Spatial Data Infrastructure Provide decision support Integration/Interoperable 3D and nD support Adoption of “new” web paradigms (i.e: Linked Data) Growing biz area – approx. $A300m p/a spent on SDI infrastructure alone in Europe * (Inspire initiative) and expected to increase * “Future Directions for SDI-assessment” Crompvoets et al. GSDI 2011 Conference -

Past: Part of the problem…data access is not standardised across organisations Content: Data Structures Tools: Proprietary Software Format: Software Format/ Version Client

Present: A solution- Open standards based domain agnostic information infrastructure BUT… Community Agreements Client

Present - The Spatial Information Services Stack Spatial Information Services Stack (SISS) a technology stack, standardises on 3 components:  Format/Syntax  Content  Tools

Present - The Spatial Information Services Stack

What’s been achieved (so far)? WA GSWA CSIRO-MDU C3DMM WAGCOE SA PIRSA TERN VIC GSV DPI-Vic VeRSI BOM Uni Ballarat NT NTGS QLD GSQLD CSIRO-CMAR ACT AuScope CSIRO NCI, CO2CRC GA, NCGRT TAS MRT CSIRO NSW CSIRO-NVCL GSNSW Data Types Geoscientific - Earth Resources - Boreholes - Wells - Geologic Units - Hyperspectral - Geodesy/GPS - Geophysics - Geothermal - etc….. Other - Satellite - Climate - Carbon - Groundwater - Water - Landslides And………

work…. AuScope Portal MDU Portal CMAR Biophysical Modeller Virtual Geophysics Laboratory Desktop Modelling Toolkit Virtual Rock Laboratory BoM Portal ABIN Portal GIS Desktop Applications Statistical Analysis Data integration/fusion workflow Various eResearch Portals NEII Reference Implementation And numerous International Deployments

Now we can..create workflows… Geodesy Virtual Laboratory

Virtual Geophysics Laboratory

The Then (Future) – “Mud”map Engineering SISS v3 (SOS, WPS, Service Integration, Registries, 1 st round Analytics) SISS v4 (WFS 2.0+, 3D Capability, Restful Services, 2 nd Round Analytics) SISS v5 Next gen OGC Service Support, Coupled Governance/Documentation Integration between services, Modelling Support, Analytics, Cloud Integration Restful Services, LDA, Analytics, 3D + Next Gen WS Support, Coupled Analytic Toolkit, Cross-domain Integration From Data to Enabling Workflows (standards, analytics) Research Deployment/Engagement Applications, Workflows, SISS in the Cloud, SISS-lite, training programs, education CSIRO, Federal/State Government, Research/Independent Research, Unis, Private Organisations, Company

The Vision We’re Here. SISS v2 We’re aiming for this. SISS v3/4 SISS v5 Business/ Societal Decision Business Problem – mine viability, uncertainty analysis Mine Planning - Integrated Science Domain Business Planning – Economic Viability Integrated Science/Business Domains Geophysics Geology Geodesy Economic Forecasts Risk Planning Virtual Laboratories: Specific Science/Business Domains GeophysicsBorehole data Geodesy Economic Modelling Risk Registers Virtual Libraries Processing Services Data Middleware Processing Services Data Middleware Processing Services Data Middleware Processing Services Data Middleware Processing Services Data Middleware Modelling & analytic tools

Thank you CSIRO Earth Science & Resource Engineering Ryan Fraser Project Lead t wsiss.auscope.org