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Oil & Gas Training
and Competency Development
Competency Management system SLB NEXT

Petrel Geophysics Advanced - RILS (Remote Instructor Led Series)

This is a Remote Instructor Led Series (RILS) training. The remote classroom delivery is a modality that takes advantage of the instructor led training content, while allowing the same content to be delivered remotely. All training sessions will be delivered online with no face-to-face classroom attendance.

The Petrel Geophysics Advanced - RILS course focuses on seismic interpretation workflows, techniques and best practices. This includes how to create and use different seismic attributes (like Generalized Spectral Decomposition (GSD), Consistent Dip, Consistent Curvature, Directional Blending etc.), different techniques of seismic attributes blending, attributes overlay in an interpretation window, Seismic Mixer (RGB/CMY - blending, Flip/Roll, Mask), attributes map generation, interactive cross-plotting of seismic attributes, populate seismic attributes in a 3D structured grid for analysis, optical stacking, conventional & contemporary methods of faults extraction, modelling while interpreting and workflow editor setup for automatic attributes creation.

Furthermore, the course explains Multi-Z interpretation, snapping, create triangle mesh, interactive mesh editing, convert editable triangle mesh to multi-Z interpretation, workflows for geobody interpretation using different probes, populate a geobody into a 3D grid, chair cut displays of seismic attributes & modeled properties,  RGB blending of seismic attributes, perform Principal Component Analysis (PCA) of seismic attributes, Train estimation model using Neural Networks to find correlation in seismic attributes for interpretation purposes and lithology identification. It also discusses genetic inversion for volume attributes.

The Petrel Geophysics Advanced - RILS course will be delivered over a total of nineteen (19) Hours; i.e. in five (5) sessions lasting four (4) Hours each, except the last session which will last 3 Hours.

Day 1

Session 1 : Module 1

(4 Hours)

  • Seismic attributes generation and usage

In this first session, the participants will learn how eismic attributes extracted or derived from seismic data can be analyzed to gain more information from the data. This can lead to improved interpretation of the data.

   

Day 2

Session 2 : Modules 2 & 3

(4 Hours)

  • Traditional and contemporary methods of automated fault extraction
  • Structural Framework

This second session will focus specifically on adding objectivity to the mapping of discontinuities and optimizing the workflow's time cost. First, the participants will discover the Ant-tracking attribute algorithm and how to automate the process for generating multiple seismic attributes. Then, they will apply traditional and contemporary methods of automated fault extraction using seismic attribute cubes, as well as how to automatically extract fault patches. Finally, the participants will learn about the Petrel Structural framework which combines interpretation data to build a structural model.

 

Day 3

Session 3 : Module 4

(4 Hours)

  • Multi-Z interpretation

Complex structures, such as salt domes, overhangs, and reefs, have multiple Z values. To interpret such complex bodies, it is necessary to use a specific type of interpretation that is able to handle these Multi-Z values. In Petrel, this interpretation is named Multi-Z interpretation. In this session, the participants will learn how to perform Multi-Z interpretation and the associated quality control methods.

  

Day 4

Session 4 : Module 5

(4 Hours)

  • Geobody interpretation

This session will be dedicated to the process and benefits of interpreting geobodies; i.e. isolating and capturing features (salt domes, channels, lobes, etc.) seen in seismic data. In addition Seismic attributes RGB blending and Seismic volumes compression methods, the participants will learn how to interpret geobodies and sample them into 3D models.

   

Day 5

Session 5 : Module 6

(3 Hours)

  • Train estimation model and Genetic inversion

During this final session, the participants will become familiar with the process for training neural networks and work with genetic inversion which derives petrophysical properties linked to sesimic amplitude volumes and can be applied to lithology identification, volumetric estimations improvement and increase in target wells precision.

   

Learning activity mix

Development and exploration geophysicists, geologists, reservoir engineers and asset team members with prior experience in Petrel

  • Interpreters’ use of seismic attributes
  • Available seismic attributes
  • Using seismic attributes to enhance the quality of seismic data
  • Seismic Mixer (RGB/CMY - blending, Flip/Roll, Mask)
  • interactive cross-plotting of seismic attributes
  • populate seismic attributes in a 3D structured grid for analysis
  • Generate seismic attribute maps/surfaces
  • Seismic attributes blending techniques in petrel
  • optical stacking
  • Conventional & contemporary methods of fault extraction
  • Multi-Z interpretation
  • interactive mesh editing
  • convert editable triangle mesh to multi-Z interpretation
  • Different methods of extracting a geobody
  • Sample a geobody into a 3D grid
  • Train estimation model – neural nets for seismic attributes classification
  • Lithology identification using genetic inversion

Petrel Geophysics or Petrel Geophysics – Seismic Visualization and Interpretation

General knowledge of Exploration and Development geophysics, intermediate interpretation and software skills required

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