Reliable Geological and Minerals Management Systems A Precondition for Mining Sector Development

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Reliable Geological and Minerals Management Systems A Precondition for Mining Sector Development Case Studies from Selected African Geological Surveys Andreas Barth 1, Andreas Brosig 1, Thomas Berndt 1, Kwame O. Boamah 2, Sven H. Etzold 1, Andreas Knobloch 1, Hartmut Kühne 1, Yokbeth Myumbilwa 5, Grace L. Nassuna 3, Anna Nguno 4, Frank Schmidt 1, Mathias Stahl 1 1 Beak Consultants GmbH, Freiberg/Germany 2 Geological Survey Department, Accra/Ghana 3 Department of Geological Survey and Mines, Entebbe/Uganda 4 Geological Survey of Namibia, Windhoek/Namibia 5 Geological Survey of Tanzania, Dodoma/Tanzania Folie 1

Data is Money? Billions of Dollars were spent for mineral resources and geological exploration Data is stored as paper files & different data formats Data is the key issue for: mining investment attraction national development land use and infrastructure planning environmental protection geo-hazard prevention forestry, water management Data is money! Folie 2

Investor s Expectations Regarding Data Minerals? Geological framework? Political framework? Decision making processes, licensing procedures? Taxation? Infrastructure? Working forces? Opportunities / prospects? What data is available? How to get it? How much does it cost? How long does it take? What format is it? Data availability is the key factor Folie 3

How to Make Data Available? Have data on stock Centralise data management Standardize data structures and coding Have instruments for data distribution Regulations for data release/ usage Guarantee data security Prevent loss of data Information management systems (IMS) are the key instrument to make data available Folie 4

Case Study Locations Ghana: 2005 2007 EU funded Namibia: 2001 2017 national MDF funded Ghana Uganda: 2007 2012 WB funded Tanzania: 2013 2016 WB funded Namibia Uganda Tanzania Folie 5

Case History 1: IMS Ghana - Facts Task: Interconnect five Mining Sector institutions Implement central database and GIS: deposits, mining reports, mining cadastre, geophysical, geochemical data, reports, documents, maps,... Provide training and support Starting point 2005: separated ACCESS databases and ArcView 3.2 applications Situation in 2012: IMS is running at GSD and MC Maintenance of hard and software required (the level of the system is 2006) Folie 6

Case History 1: IMS Ghana Benefits & Lessons Mining sector data centralised all mineral licenses 900 mineral occurrences 4200 documents (incl. bulletins, reports, ) 1000 samples Airborne geophysical data All 126 geological maps User friendly interfaces implemented Bad infrastructure damages the system power shortages, climate (hot, humid) no reliable Internet (in 2006-2009) low quality communication masts Very high expectations interconnect all branches... to a centralised system... create a unified system for five institutions: geo-scientific data, mining data, cadastral data, mineral trade data Folie 7

Case History 2: Earth Data Namibia Facts Starting point in 2000: separated ACCESS and GIS applications (ArcView 3.2) 2003: centralised system implemented (ORACLE, ArcView 3.3) 2012: Database and GIS upgraded (SQL 2010, ArcMap 10.0) System is maintained continuously Interactive web site implemented Data capture is ongoing 2016-2017: Field data capture module implemented Folie 8

Case History 2: Earth Data Namibia Benefits & Lessons Geological sector data centralised, cadastral data taken from the mining cadastre User friendly database & GIS Stakeholder involvement from the beginning broad support Continuous maintenance very helpful Infrastructure: server & workstations system software, application software ongoing data capture Problems qualified IT staff personnel for data capture Folie 9

Case History 3: DGSM Uganda - Facts Starting point: no database, paper files, AUTOCAD data Task: create local IT infrastructure create the documents IMS implement the GIS implement the Mining Cadastre Final situation in 2012: Archive upgraded IT infrastructure upgraded Several databases and GIS created Hardware, infrastructure, training provided Folie 10

Case History 3: IMS Uganda Benefits and Lessons Geological archive/ maps digitised completely Metadata of books/journals: 24,000 (MARC Standard) Scanned documents: 8,700 Geological maps data Geophysical data Cadastral data System centralised Data available: LAN, Internet System at a high technical level Problems: Too long implementation time Fluctuation of personnel Folie 11

Case History 4: Tanzania - Background Provision of Consulting Services for Preparation of Geoscientific Data Information Management System Beneficiary: Ministry of Energy and Minerals Geological Survey of Tanzania IT Infrastructure GMIS Design and Implementation 60 QDS Map Sheets Minerogenic Map Data Dissemination Policy Library and Archive Museum, Rock Store and Core Depot Investment Promotion Remote Sensing Unit Training Project Team Folie 12

Case History 4: Tanzania Previous Existing Situation Information on paper: reports, books, maps, Stand alone databases: minerals, library metadata Start of Geological Map digitisation Folie 13

Case History 4: Tanzania Database Interface The GMIS - Portal to: - 20 technical modules - System administration - GIS module Folie 14

Case History 4: Tanzania Data Access Policy Data freely accessible for the public: All metadata (library, archive, spatial data) Low resolution data, i.e. maps and data 1:1M (deposits/occurrences, geology, geophysics) Data accessible for the public for a fee: High resolution data (geology, geophysics) Confidential data: Ongoing private projects Folie 15

Case History 4: Tanzania Public Web Site Developed with open source (no license costs) Hosted by Beak Including topographic background information, e.g. - Topographic map 1:1 M - Open source background images (Google Earth, OpenStreetMap ) - Vector data from Ministry of Lands Low-resolution thematic data: - Geology - Geophysics - Minerals www.gmis-tanzania.com Folie 16

Case History 4: Tanzania Web GIS & Database Folie 17

Case History 4: Tanzania Web Store www.gst-datashop.com Folie 18

Case History 4: Tanzania Publication & Advertisement Explanation Booklet Minerogenic Map Brochures & Flyers Folie 19

Summary: Main IMS Components User interfaces Data content Database and GIS engines Personnel IT Infrastructure: hardware, network, system software Frame conditions: communication, electricity, security, climate,... Folie 20

Recommendations: IT Infrastructure - Hardware & Network gfb ID_GFB GFB_Name GFB_Bemerk gfb_guelt GFB_erh GFB_erf gfbb_ueber_uta san_arb ID_san_arb san_arb_erh san_arb_erf san_arb_beschr san_arb_von san_arb_bis sst_in_uta BSA_Gebiete ID_BSG BSG_Name sst_in_gfb sst_in_bsg sst sst_hat_sstbeschr sst_in_flstk sst_hat_vrw_zst sst_hat_san_arb vrw_zst ID_vrw_zst vrw_zst_bemer Dat_erh Dat_erf gfb ID_GFB GFB_Name GFB_Bemerk gfb_guelt GFB_erh GFB_erf gfbb_ueber_uta san_arb ID_san_arb san_arb_erh san_arb_erf san_arb_beschr san_arb_von san_arb_bis sst_in_uta BSA_Gebiete ID_BSG BSG_Name sst_in_gfb sst_in_bsg sst sst_hat_sstbeschr sst_in_flstk sst_hat_vrw_zst sst_hat_san_arb vrw_zst ID_vrw_zst vrw_zst_bemer Dat_erh Dat_erf gfb ID_GFB GFB_Name GFB_Bemerk gfb_guelt GFB_erh GFB_erf gfbb_ueber_uta san_arb ID_san_arb san_arb_erh san_arb_erf san_arb_beschr san_arb_von san_arb_bis sst_in_uta BSA_Gebiete ID_BSG BSG_Name sst_in_gfb sst_in_bsg sst sst_hat_sstbeschr sst_in_flstk sst_hat_vrw_zst sst_hat_san_arb vrw_zst ID_vrw_zst vrw_zst_bemer Dat_erh Dat_erf Hardware & network Server with n TB, work stations, backup system Printers, plotters, scanner Back up system Firewall server Terminal server UTA ID_UTA UTA_Name UTA_Abmess UTA_Beschr_kurz HNmin HNmax UTA_erh UTA_erf UTA_beschr_lang ID_sst SST_name SST_Nr Dat_ersterh Dat_ersterf Hoch Rechts HN sst_basisbeschr sst_beschr ID_sstbeschr beschr_kurz Ntzng_ist Ntzng_pln schaeden bse erh_dat erf_dat foto beschr_lang san_bed rf_flstk ID_rf_flstk flstk flstk_bemer Name Ort PLZ Str Tel Web server UTA ID_UTA UTA_Name UTA_Abmess UTA_Beschr_kurz HNmin HNmax UTA_erh UTA_erf UTA_beschr_lang ID_sst SST_name SST_Nr Dat_ersterh Dat_ersterf Hoch Rechts HN sst_basisbeschr sst_beschr ID_sstbeschr beschr_kurz Ntzng_ist Ntzng_pln schaeden bse erh_dat erf_dat foto beschr_lang san_bed rf_flstk ID_rf_flstk flstk flstk_bemer Name Ort PLZ Str Tel Data server UTA ID_UTA UTA_Name UTA_Abmess UTA_Beschr_kurz HNmin HNmax UTA_erh UTA_erf UTA_beschr_lang ID_sst SST_name SST_Nr Dat_ersterh Dat_ersterf Hoch Rechts HN sst_basisbeschr sst_beschr ID_sstbeschr beschr_kurz Ntzng_ist Ntzng_pln schaeden bse erh_dat erf_dat foto beschr_lang san_bed rf_flstk ID_rf_flstk flstk flstk_bemer Name Ort PLZ Str Tel Database server Member of the public Member of the public Access to the public web portal Internet Full access via VPN or terminal server Remote (internal) user 1 Remote (internal) user 2 Member of the public Remote (internal) user n Folie 21

Recommendations: GIS / Database Software / Engines System software No real alternative to Microsoft Windows Server LINUX as an option... Database and GIS software engine MS SQL Server (or ORACLE) Esri ArcGIS Server PostGre SQL, PostGIS,... Other options... Application software always customised solutions Windows-based database and GIS interfaces Web-based database and GIS interfaces Folie 22

Recommendations: GIS / Database Software / Engines Commercial software Service & support always available Broad range of experts Provides much functionality ready to use Lower dependency from individual experts Expensive Free software products Service & support not always available Limited amount of experts Provide less ready to use functionality High dependency from individual experts Free or very cheap Folie 23

Recommendations: Data Content Structured data Licenses and related data Mineral deposits & occurrences data Mine data Production data Exploration data Bore hole data Geochemical data Geophysical data Hydrogeological data Environmental data Company data Non-structured data Documents/ reports Scanned maps Images Spatial background data Topographic maps Images Elevation model Folie 24

Recommendations: Staff / Personnel Most important component of the system Make them owners of the system Required are trained: IT system administrator Database administrator GIS administrator Geo-scientists GIS experts, cartographers Folie 25

Challenges Environmental conditions IT infrastructure (internal & external) Missing / incorrect & incomplete data Data harmonization Costs Human resources Lack of support from above Working process integration Folie 26

Lessons Learned IMS implementation is a strategic issue Small but reliable system is better than a big system with bad data, software bugs, slow infrastructure... Expectations and funds must be adjusted to each other System life time is short : 5 8 years Correct & standardised data is a must: users expect correct data Stakeholder involvement from the beginning will support the system acceptance Human resources require much attention Folie 27

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