Course Schedule
Online Sessions:
Date Time Duration Location
30-Jun 2025 9:30 PM Indian Time
3 Hours Per Day
Zoom Online

The Classes Will be Online Via Zoom for 2 Weeks excluding Weekends.

Description

This course provides an extensive and practical knowledge in reservoir modeling & simulation. It is proposed to understand the advanced topics & principles involved in reservoir simulation.

·       Understand reservoir description and characterization process

·       Rock (RCAL & SCAL) and fluid properties (PVT modeling)

·       Build representative PVT descriptions for Black Oil, Compositional or Thermal models.

·       Match results to experimental data and adjust relevant model parameters accordingly.

·       Design operational strategies that incorporate all relevant assumptions, fit to represent the specific challenges of any field maturity.

·       Optimize model data by linking scheduled actions with well parameters.

·       Reserve estimation and STOIIP calculations

·       QAQC and consistency check of 3D static models

·       Understand the data requirements for conducting a simulation study

·       Initialize and run dynamic model/ reservoir simulation models

·       Understanding uncertainties and sensitivity analyses and their implications

·       Understand and practice history matching

·       Investigate various reservoir engineering and reservoir management principles

·       Field development planning (FDP) under waterflooding and gas injection

Demo Class

0 Chapter
Course Description

Introduction


Reservoir simulation is a critical tool in managing and optimizing the production performance of oil and gas reservoirs. This course covers the fundamentals, offering participants a hands-on experience in developing, calibrating, and running simulations for practical applications. Through interactive sessions and case-based learning, participants will gain the skills to assess reservoir dynamics and make data-driven decisions.

Objectives


  • Understand the principles and workflow of reservoir simulation.
  • Gain insights into model building, history matching, and production forecasting.
  • Learn to manage uncertainties and apply sensitivity analysis.
  • Enhance skills in utilizing simulation tools to optimize reservoir management.
  • Apply knowledge through hands-on exercises with industry-standard software.
  • Training Methodology


    This course combines lectures, hands-on exercises, and group discussions, enabling participants to apply theoretical concepts to real-world scenarios. Case studies will be presented, along with simulation practice, to reinforce learning and facilitate skill-building.

    Organisational Impact


  • Improved technical decision-making in reservoir development and management.
  • Enhanced capability to optimize production and manage uncertainties.
  • Access to simulation best practices that support strategic planning and resource management.
  • Personal Impact


  • Increased competency in reservoir simulation tools and methodologies.
  • Enhanced ability to assess and forecast reservoir performance.
  • Improved confidence in making data-informed decisions to optimize recovery.
  • Who Should Attend?


    This course is designed for reservoir engineers, petroleum engineers, geoscientists, and technical professionals involved in reservoir management, field development, and production optimization.

    Course Outline


    Certificates

    On successful completion of this training course, PEA Certificate will be awarded to the delegates

    About The Trainer

    Hesham Mokhtar is a highly accomplished Reservoir Engineering Team Leader possessing over 14 years of experience in the energy sector. He has a proven track record of success in reservoir management, characterization, and production optimization.


    His expertise encompasses:


    Reservoir Engineering: Leading and mentoring teams, conducting comprehensive reservoir evaluations, and developing strategies to maximize hydrocarbon recovery.


    Data Analysis and Interpretation: Analyzing production data, material balance, RFT/MDT data, and pressure transients to optimize reservoir performance and identify opportunities for enhanced recovery.


    Software Proficiency: Utilizing industry-standard software such as Techlog, Volumetric, DCA, MBE, OFM, and KAPPA for reservoir simulation, analysis, and hydrocarbon estimation.


    Training and Development: Designing and delivering training courses on key reservoir engineering topics, including waterflooding, PVT analysis, and reservoir simulation.


    Mr. Mokhtar's deep understanding of reservoir engineering principles, coupled with his strong analytical and problem-solving skills, make him a valuable asset to GPC. He consistently delivers technical solutions that drive efficiency and improve the performance of E&P portfolios.