Carbonate Reservoirs and Seismic Characterization

OG-724

Course Description

  • This course is designed to cover the basics of carbonate reservoir and more advanced notions of reservoir characterisation. Participants will be introduced to the basic concepts of sedimentology, diagenesis, pore geometry, and sequence stratigraphy and their implications on reservoir characterisation.

Course Objectives

  • Understanding the integration between static and dynamic data in a coherent and consistent manner.
  • Characterising the reservoir rock types.
  • Building a geological framework with a zonation scheme.
  • Understanding how to integrate seismic and faults in the reservoir framework.
  • Using deterministic and stochastic algorithms to propagate petro physical properties in three-dimensions.
  • Learning the process of ranking realisations and perform averaging and upscaling of properties.

Who Should Attend?

  • Petroleum engineers.
  • Technical/reservoir engineers.
  • Drilling engineers.
  • Processing engineers.
  • Commercial analysts.
  • Decision makers/ investors in oil and gas sector.

Course Schedule

Day-1

  • Fracture Mechanics.
  • Data Collection.
  • Analysis of Fracture Orientations.
  • Scaling Relationships.
  • Analysis of Fracture Spacing.
  • Geoscience Aspects.
  • Petro physical & Seismic Aspects.

Day-2

  • Fault Damage Zones.
  • Styles of Fault Propagation.
  • Interaction and Linkage in Fault Zones.
  • Complex Fracture Networks.
  • Characterising Fracture Networks.
  • Fault Reactivation.

Day-3

  • Fold/Fracture Relationships.
  • Mechanical Stratigraphy.
  • Rock Fabric.
  • Rock-Fluid Interaction.
  • Brecciated Carbonate Rocks.
  • Fault Sealing and Fluid Flow.
  • Comparison between oil fields and exposed analogues.

Day-4

  • Fractured Reservoir Modelling.
  • Reservoir Models.
  • Economics and Risking.
  • Organizational Structure.
  • Lab Data.
  • Assessment and Evaluation.

Day-5

  • Flow Units.
  • Prediction of Reservoir Rock Types in Uncored Wells.
  • 3D modelling.
  • Ranking Multiple Realisations Using Streamlines.
  • Upscaling Techniques.

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