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    Oil and Gas Training Courses SLB NEXT
    1. NExT
    2. Schlumberger Software
    3. Introduction to Information Management and Data Governance in E&P Industry (RILS)

    Introduction to Information Management and Data Governance in E&P Industry (RILS)

    • Foundation
    • 5 Days
    • Remote Instructor Led SeriesRemote Instructor Led Series
      • Average client rating (based on 9 attendee reviews)

    This course introduces the principles of Information Management applied to the Petroleum Industry. Using class lectures and practical activities, participants will gain the opportunity to realize the business value of data management and its impact through the Oilfield Life cycle.

    The course covers foundation concepts such as standard data types, data life cycle, quality, security, and provides an understanding of information management in different contexts such as the corporate, project and operational environments, their organization and associated data management processes.

    Participants will also gain the opportunity to learn about data governance principles and its application in the Exploration and Production business.

    Principles:

    • Defining the key underlying terms and the relationship of data handling to value based management
    • Describe the general principles and concepts of Information Management
    • Recognize the value of data to the enterprise and its impacts on business



    Data

    • Review of the technical data related to realizing assets in oil companies and the impact of quality and security
    • Explain how to classify the different kinds of data and repositories encountered in the Petroleum Industry
    • Recognize the relevance of these to the different business lifecycles



    Information

    • Relating the data handling to the business environment (the organization, the business processes, and the corporate goals). After completing this training, you will be able to:
    • Describe some of the different kinds of repositories where data is held
    • Review the elements of good data management processes and procedures


    Governance

    • Understand how to establish the policies, methodologies, standards, and legal framework to successfully execute business processes. 
    • Explain the role of governance in the correct management of information within the Petroleum industry.
    • Recognize the importance of roles and responsibilities in achieving business objectives


    Operations

    • Applying the principles in practice, relating the theory to the realities of the oil company business environment. After completing this training, you will know how to:
    • Design, transition, and operate data management solutions
    • Plan and deploy solutions with the infrastructure level


    IT professionals and geoscientists that make use of data in the E&P industry, or who have responsibility/accountability for data used in Petroleum Data Management related functions, those with domain experience, technical data management from other industries (aerospace, defense, medical, finance), and corporate executives at any level with budgeting responsibilities in E&P data handling. 


    This course covers the following topics:

    • General principles and concepts of Information Management
    • The value of data to enterprise and its impacts on business
    • Data types used in the Oil & Gas Industry and their relevance to business life cycles
    • An overview of data repository types
    • An overview of effective Information Management processes and their elements
    • The role of governance and its impact on good Information Management practice within the Petroleum Industry
    • Roles and responsibilities within the Information Management structure that achieve business strategies and objectives
    • The importance of standards, policies, and procedures
    • Specific legal obligations that affect Petroleum exploration and production activities.

    General understanding of the Petroleum Exploration and Production business and/or awareness of technical data handling for common data categories.


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