Data Management for Oil & Gas Engineers

DATA/DAMAMOD

Who should attend?

  • Whatever the Oil & Gas discipline, data is taking a more and more important role in all business decision processes. Therefore, the role of the data manager which was mainly seen as a data custodian is now perceived as a major shareholder in all discipline.
  • The purpose of this module is to train Oil & Gas technicians and engineers to understand all the aspects and underlyings of value creation based on data. The following topics will be covered:
  • the data as an asset,
  • what are the main data types used in the E&P industry,
  • the functions of Data Management as described by DAMA,
  • the IT and IS aspects of the data management,
  • geographic information systems,
  • earth modelling,
  • data science.
  • The last week of training will be dedicate to a data management project where the student will be able to practice their acquired knowledge on a real data project.
Audience :
  • This training has been designed for all Oil & Gas technicians and engineers who plan to have responsibilities in the data management domain.

Level : Proficiency

Course Content

  • E&P DISCIPLINES & DATA

      • Introduction: Why data is an important Oil & Gas asset?
      • Seismic data and formats.
      • Well-related data. Reading a log header in a PDF, a LAS or a JSON format.
      • Production-related data. What is important for the asset.
      • Metering, real-time data, Prodml communication.
      • Construction and engineering data, document management.
      • Maintenance data to optimize the production.
      • Reservoir data. The value of data integration.
      • The data life cycle.
      • Physical data management.
  • DATA MANAGEMENT FUNDAMENTALS

      • Introduction to data management.
      • Data quality management.
      • Master and reference data management.
      • Data modelling.
      • Data warehousing, business intelligence and data analytics.
      • Data risk and security.
      • Metadata management.
      • Data governance.
      • Data lifecycle management.
      • Data operations management.
      • Document records and content management.
      • Data integration and interoperability.
      • This module is ended by DAMA certification assessment.
  • THE IT & IS ASPECTS OF DATA MANAGEMENT

      • Storing data on tapes, disc and cloud. Data virtualization.
      • Element of SQL language.
      • No SQL DB.
      • My first line of Python to manipulate data.
  • GEOGRAPHIC INFORMATION SYSTEM

      • What is a GIS?
      • ArcGIS basics.
      • Creating a map with data, sharing data.
  • THE EARTH MODELING, INTEGRATION OF DATA & KNOWLEDGE

      • Earth model in the petroleum industry.
      • Creating surfaces and 3D meshes from seismic and well data.
      • Knowledge formalization. Building up ontologies.
      • Introduction to RESQML.
  • DATA SCIENCE & MACHINE LEARNING

      • Automatical training.
      • Supervised training and deep learning.
      • Models evaluation.
      • This module review the parameters which can be used to evaluate a data model. In this module, the student will learn how to compute the precision, recall factor or the confusion matrix to describe the accuracy and behavior (bias) of the data model.
      • Working with text data.
      • Data are not only numerical measurements but also text. This model will detail how to process the text data in order to make possible their modelization.
  • FINAL PROJECT

      • Working in group focused on data management of a real data set.

Learning Objectives

  • Upon completion of the course, participants will:
  • learn the main concepts of data management,
  • be able to elaborate a detailed data governance plan,
  • be able to interact effectively with IT and software engineer to define the data management resources,
  • be able to specify a GIS project,
  • understand what is Earth Modeling from a data point of view,
  • understand the main concepts and tools of data-science.

Ways & Means

  • Daily lecture, exercises, hands-on practice and a one week project.