Introduction to Data Management • Introduction to information management. • Data types: definitions. • Common Data Management issues. • Geo-referenced data: geodesy, topometry, cartography and Geographic Information System (GIS). Data Management methods • Data Management best practices, business impact. • Overview of Data Management: definitions. • Data life-cycle: from inception to destruction (planning, implementation and control activities). The value of data & data management • Benefits of good Data Management. • Business case aspects and barriers. • Data governance: strategy, organization, policies and standards, projects and issues. • Data Management architecture: modeling, technology and tools. • Data Management framework, governance, architecture, security. • Difference between reference and Master Data Management. • Data quality management: definition and dimensions of data quality (accuracy, currency, coverage, relevance, accessibility and comparability). • Data quality tools and capabilities. GEOSCIENTIFIC DATA MANAGEMENT • Seismic data. • Borehole data (drilling report, logs and cores). • Well data (production data, well test, workovers). • Fluid data: PVT tests and reports. PROJECT Data management • Project data base construction. • Sharing projects: • Geomodeling. • Material balance model. • Reservoir simulation model. Integration management service • How integration happens in the real world. • Data integration challenges. |