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2 - OGE - Oil & Gas - General/Miscellaneous


OGE-ON130 - Petroleum and Geoscience Data Management

Code Start Date Duration Venue Fees
OGE-ON130 08 August 2021 5 Days Online $ 3950 Registration Form Link
OGE-ON130 06 September 2021 5 Days Online $ 3950 Registration Form Link
OGE-ON130 03 October 2021 5 Days Online $ 3950 Registration Form Link
OGE-ON130 31 October 2021 5 Days Online $ 3950 Registration Form Link
OGE-ON130 28 November 2021 5 Days Online $ 3950 Registration Form Link
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Course Description

In this 5 days short course, the content is going to leverage participants understanding the total data flow principles of surface and subsurface data management by going through golden rules in detail, various data categories in geology, seismic, navigation, E&P database design, knowing G&G software . All the important points covered will be illustrated figures and tables with examples given. 

Course Objectives

  • Understand meta data, data, vintage, geospatial data, operations for data collection/ acquisition, differentiate between data, information and knowledge, data interpretation and processing, indexing, data life cycle
  • Gain information about the lifecycle of surface and subsurface exploration, production data and related information management issues, GIS and Modern Information Technologies (IOT, AI, Block chain, Machine and Deep learning)
  • Gain firm grip on various subsurface data to undergo repository processes in the database.
  • Gain thorough, effective and practical flow in handling and managing petroleum data.
  • Discuss Cartography Reference System for loading data at cross over regions of different Datum. 
  • Loading the database i.e. all categories in the well data set in one single database from drilling to production and abandonment. 

Who Should Attend?

  • Data Managers
  • Data Technicians
  • IT personnel & Geo-scientists 

Course Details/Schedule

Day 1

  • Introduction to Data Management
  • Introduction to information management.
  • Data types and formats
  • Common Data Management issues.
  • Geo-referenced data: geodesy, cartography and Geographic Information System (GIS).

Day 2

  • Data Management methods
  • Data Management best practices, 
  • Overview of Data Management: definitions.
  • Database and Backup systems, business impact.
  • Data life-cycle: from inception to destruction (planning, implementation and control activities).

Day 3

  • 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.
  • Architecture: modeling, technology and tools.
  • 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.

Day 4

  • 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.

Day 5

  • Project data management
  • Project data base construction
  • Sharing projects, g & g software key commercial software e.g. Petrel, geoframe, ow, opendtect, smt, paradigm, etc
  • Geomodeling.
  • Reservoir simulation model.
  • Integration management service
  • How integration happens in the real world.
  • Data integration challenges.