COURSE OVERVIEW:

The seismic to simulation workflow represents the backbone of modern integrated asset management, requiring a seamless transition of data across multiple disciplines. This course provides a comprehensive roadmap for transforming raw geophysical data into a fully realized 3D geological model ready for dynamic reservoir simulation. Participants will explore the critical steps of structural framework construction, stratigraphic interpretation, and the population of reservoir properties using advanced geostatistical techniques, ensuring that the resulting model is both geologically realistic and mathematically sound.

The scope of this training focuses on the integration of seismic attributes and well data to reduce uncertainty in reservoir characterization. We will examine the process of seismic-to-well ties, time-to-depth conversion, and the creation of detailed structural grids that capture fault networks and horizons accurately. The coverage extends to the populate of facies and petrophysical properties like porosity and permeability, emphasizing the importance of preserving geological heterogeneity and anisotropy to ensure the model behaves predictably during the simulation phase.

A robust static model is the foundation upon which all future production forecasts and development strategies are built. This course addresses the challenges of "up-scaling" high-resolution geological grids into coarser simulation grids without losing critical flow-path information. By the end of this program, attendees will understand how to build integrated workflows that allow for rapid model updates as new data becomes available, ultimately leading to more accurate dynamic history matching and optimized field recovery.

COURSE OBJECTIVES:

After completion of this course, the participants will be able to:

1.  Explain the end-to-end workflow from seismic interpretation to dynamic reservoir simulation.

2.  Perform accurate seismic-to-well ties using synthetic seismograms.

3.  Conduct time-to-depth conversion using various velocity modeling techniques.

4.  Build complex structural frameworks including fault networks and horizons.

5.  Create 3D cellular grids that honor geological features and stratigraphic architecture.

6.  Apply deterministic and stochastic methods for facies modeling and distribution.

7.  Distribute petrophysical properties using Kriging and Sequential Gaussian Simulation.

8.  Incorporate seismic attributes as trends to constrain property distribution.

9.  Execute up-scaling procedures for grid geometry and petrophysical properties.

10.  Validate the static model against geological concepts and well observations.

11.  Assess and quantify structural and property uncertainties in the static model.

12.  Prepare a finalized static model for hand-over to reservoir engineering teams.

13.  Integrate multi-disciplinary data to improve the reliability of reservoir forecasts.

TARGET AUDIENCE:

Geologists, Geophysicists, Reservoir Engineers, and Petrophysicists involved in reservoir modeling and field development planning.

TRAINING COURSE METHODOLOGY:

A highly interactive combination of lectures, discussion sessions, and case studies will be employed to maximise the transfer of information, knowledge, and experience. The course will be intensive, practical, and highly interactive. The sessions will start by raising the most relevant questions and motivating everybody to find the right answers. The attendants will also be encouraged to raise more of their questions and to share in developing the right answers using their analysis and experience. There will also be some indoor experiential activities to enhance the learning experience. Course material will be provided in PowerPoint, with necessary animations, learning videos, and general discussions.

The course participants shall be evaluated before, during, and at the end of the course.

COURSE CERTIFICATE:

National Consultant Centre for Training LLC (NCC) will issue an Attendance Certificate to all participants completing a minimum of 80% of the total attendance time requirement.