Training Geo Science and Data Management For Subsurface - BBM TRAINING AND CONSULTING

Training Terbaru

Jadwal Training 2020

Start Date

Duration

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06 January 2020

1/2/3/5 Days

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06 January 2020

1/2/3/5 Days

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03 February 2020

1/2/3/5 Days

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02 March 2020

1/2/3/5 Days

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27 April 2020

1/2/3/5 Days

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18 May 2020

1/2/3/5 Days

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22 June 2020

1/2/3/5 Days

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20 July 2020

1/2/3/5 Days

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17 August 2020

1/2/3/5 Days

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14 September 2020

1/2/3/5 Days

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12 October 2020

1/2/3/5 Days

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09 November 2020

1/2/3/5 Days

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01 December 2020

1/2/3/5 Days

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Training Geo Science and Data Management For Subsurface

Training Geo Science and Data Management For Subsurface
INTRODUCTION
Effective data management is the key to correct and timely decision making. However, implementing consistent data management practices in an organisation is complex and challenging for several reasons. This course discusses the need and benefits of data management in order to define and value subsurface assets. It enables participants to make critical business decisions correctly and confidently.
PROGRAMME OBJECTIVES
  • Understanding complete data life cycle
  • Developing a holistic and practical knowledge of the industry
  • Learning methods to find and develop reserves of oil and natural gas
  • Discussing seismic and other geophysical methods
  • Promoting the understanding of exploration and production
WHO SHOULD ATTEND?
  • Petroleum engineers
  • Technical/reservoir engineers
  • Decision makers/ investors in oil and gas sector
PROGRAM OUTLINE

    • Why Data Management?
    • The Geoscience Data Lifecycle 
    • Steps in Managing Data
    • Where to Find Data
    • Managing Earth Sciences Identification
    • Earth Sciences Tools
    • Data Management Plans
    • Multiple Domain Management

    • Seismic Data
    • Raw field data
    • Field with geometry
    • Gathers
    • Post-stack data
    • VSP data

    • Velocity
    • Navigation
    • Gravity/Magnetic Data
    • LiDAR Data
    • Microseismic Data

    • Well Data
    • Well header data (locations, etc)
    • Well documents and reports
    • Well logs

    • Interpretation Projects
    • Project backups
    • Well interpretation
    • Filtered volumes
    • Horizons
    • Grids
    • Faults

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