Course Overview

This course from Zoe Talent Solutions will introduce you to the advanced world of reservoir characterization, the relationship between the rock, the fluid it contains, and its interactions, from the downhole response to the actual formation evaluation techniques and procedures.

You will explore the engineering tools applied to different lithologies and will help you understand the applications and limitations of each method. It will instruct you with the basic reservoir concepts as well as the advanced interpretation techniques and procedures for the correct evaluation of reservoir properties then hydrocarbon potential.

This Zoe course will highlight the techniques and principles of reservoir analysis for oil industry professionals who deal with reservoir engineering studies. Advanced interpretation methods will be discussed with numerous examples and exercises including complex sophisticated interpretation techniques.

Course Objectives

Attendees will learn about the following areas:

• Resources, reserves & recovery
• Rock properties data analysis
• Rock typing, saturation height methods & flow units
• Well test data analysis
• Naturally fractured reservoirs, carbonates
• Decline curve analysis
• Performance of oil reservoirs
• Performance of dry gas reservoirs
• Performance of gas condensate reservoirs
• Material-balance methods
• Water influx

Training Methodology

This Zoe course provides a thorough comprehensive practical training, the required technical knowledge, and skills to hold the position of a petroleum engineer and to contribute to safe and efficient operations in the upstream Oil industry. This course provides a complete understanding of main oil and gas industry reservoir analysis concepts with hands-on real cases. The course will be customisable as per the training audience. Thus, before each session, the content is thoroughly reviewed to check for changes.

The training program is designed and facilitated by an experienced professional from the relevant domain. Two-way participation in the program is encouraged through group activities, projects, role-plays, etc. Experiential learning and situational analysis form an integral part of the training. The Course agenda may be changed according to time availability, and audience requirements to ensure full coverage and in addition providing hands-on experience especially on software applications.

Zoe Talent Solutions follows the ‘Do-Review-Learn-Apply’ model.

Organisational Benefits

With professionals undertaking this Advanced Reservoir Evaluation, Management, and Engineering training course, their organisations will benefit in the following ways:

• Select the best optimum solution for reservoir characterization and data analysis
• Design efficiently the data acquiring programs according to reservoir environment, well conditions, and parameters
• Take the in-depth data from the conventional cheap available data
• Build sequential understanding for the petroleum reservoir to complete the puzzle of hydrocarbon potential
• Achieve the best usage of the conventional and advanced interpretation techniques to lower the need for advanced high-cost data acquiring tools
• Integrated approach in-field evaluation and assessment will aid in the economic feasibility studies

Personal Benefits

Professionals enrolling for this Advanced Reservoir Evaluation, Management, and Engineering training course will derive the following benefits:

• Comprehensive understanding of all aspects of reservoir characterization and data analysis to build a successful career in this domain
• Increased understanding and confidence to obtain good, representative interpretation for efficient evaluation
• Greater knowledge of new concepts and methods for reservoir characterization to achieve closest and most accurate results
• Enhanced analytical and out of box skills to interpret data and draw the most accurate conclusions to aid effective decision making
• Increased confidence and experience to train other professionals on all critical skills needed to become a successful reservoir analyst
• Better awareness and understanding to choose the correct modeling methods as per the requirement and circumstances
• Enhanced perspective and foresight to identify hindrances and challenges to reservoir environment and prevent these from affecting the results

Who Should Attend?

• Senior management members of an organisation involved in reservoir characterization and data analysis
• Employees partaking in the reservoir characterization for an organisation
• Managers responsible for overseeing reservoir characterization study results
• Legal consultants and advisors who are responsible for hydrocarbon field potential evaluation
• Any professional across any profile in the petroleum industry with aspirations to build a career as a reservoir analyst
• Any other professional interested in being certified as a reservoir analyst

Course Outline

Module 1: Assessing Resources, Reserves & Recovery

• Petroleum reserves classification and definitions
• Hydrocarbon in place and Reserves Estimation Techniques
• Volumetric Technique; data sources, computation and calculations, and common pitfalls
• Deterministic vs. probabilistic methods
• Uncertainty and sensitivity analysis
• Monte Carlo simulation for IHIP estimation (Software)
• Rough estimation for recovery factor
• Estimation of recovery factor by API correlations impact of the drive
• Introduction to other methods for Hydrocarbon in place and Reserves Estimation methods
• Workshop: Reserves (Actual field cases)

Module 2: Reservoir Petro-Physical Data Analysis

• Physical principles of the most current and existing logging tools
• Qualitative and quantitative formation evaluation using log
• Routine core analysis (RCAL)
• Special core analysis (SCAL)
• Basic averaging techniques & upscaling for RCAL & SCAL data
• Multilayer tool: (Software)
• Heterogeneity measurement
• Fundamental permeability/porosity modelling
• Workshop: (Actual field cases)

Module 3: Rock Typing, Saturation Height Modeling & Flow Units

• Rock typing and reservoir zoning
• Normalized reservoir quality index (RQI)
• Identification of flow units using different methods
• Saturation height methods (SHM)
• Workshop: (Actual field cases)

Module 4: Reservoir Fluid properties

• Reservoir fluid classification
• PVT data importance
• Reservoir fluids sampling
• Laboratory reservoir fluid studies
• Adjusting PVT lab data for actual facilities operating conditions

Module 5: Reservoir Fluid characterization and modeling

• Introduction for EOS and PVT modeling
• Equation of state models
• Equation of state parameter definitions
• Fluid characterization by regression
• Regression process control and management
• PVT modeling: (Software)
• Workshop: PVT studies examples

Module 6: Fundamentals of Well Test Data Analysis

• Introduction to well testing operations and measurement techniques
• Well test types
• Reservoir characterization using well test interpretation:
  • Semi-log analysis, type-curve matching
  • Log-log analysis and fundamentals of pressure derivative
  • Reservoir boundaries
• Well specification using well test results:
  • Well efficiency and productivity
  • Skin and wellbore storage
• Practical well test interpretation: (Software)
• Workshop: Field wells data

Module 7: Decline Curve Analysis (DCA)

• Fundamental concepts
• Arps decline curve analysis
• Exponential, hyperbolic & harmonic decline
• Arps type curves
• Prediction modes
• DCA tool: (Software)
• Workshop: (Actual field cases)

Module 8: Material Balance Equation (MBE) for History Matching

• MBE Applications
• Reservoir drive mechanisms
• MBE tool: Software
• Input data collection and QC
• History matching methods
• Model Validation
• Simulation Concepts
• Monitor fluid contacts (OWC & GOC)
• Workshop: (Actual field cases)

Module 9: Material Balance Equation (MBE) for Prediction and Field Development Planning (FDP)

• Design the drilling plan for upcoming activities in the future
• Use well model (IPR & VLP)
• Design the field development plan (FDP) for a new and latest field
• Assign daily contract quantity of gas (DCQ) for gas exporting contract
• Determine asset lifetime
• Design water flooding project using Buckly-Leverett Model: (Software)
• Workshop: (Actual field cases)

Module 10: Economic Evaluation for Projects (New Projects-Existing Projects Expansion)

• The need for petroleum economics
• Evaluation methods
• Feasibility study elements
• Evaluation methods
• Economic Indicators
• Sensitivity analysis and Uncertainty management
• Workshop: (Actual field cases)