Petroleum Economics

Day one
• Module1:
The need for petroleum economics
• Module2:
Common Evaluation methods


Day Two
• Module3:
Economic Analysis components


Day Three
• Module 3:
Economic Analysis components (Continued)


Day Four
• Module4:
Time Value
• Module5:
Economic indicators
• Exercise


Day Five
• Module6:
Advanced topics

PVT Analysis part 1

From primary raw general guidelines to detailed sophisticated modeling studies

You will get familiar with the Main PVT analysis concepts.

• Get familiar with the all PVT experiments for reservoir fluid types.
• Know how to evaluate the all PVT properties.
• Make decisions about fluid sampling
• Determine PVT laboratory procedures required
• Analyse PVT reports
• Identify the relevant PVT data for various tasks according to operating conditions
• QC/QA PVT data
• Use PVT Correction and adjusting techniques.
• Know how to select the appropriate correlation based on raw fluid properties in case of no PVT data
• Fully understanding of reservoir fluid modelling.
• Greater understanding of Equation of state applications.
• Acquire the ability to characterize reservoir fluid using the EOS properties regression.
• Run the EOS model to calculate the needed experiments based on the existing measurements.
• PVT advanced issues like PVT and flow assurance, PVT and advanced mud gas analysis, PVT and geochemicalstudies, PVT and formation pressure testing measurements, Experiments for unconventional reservoirs.

Material Balance practice

Your way to master best practice for better material balance applications

Day One :-

1. MBE Applications:
2. Simulation Concepts:
3. Input data collection and QC.
4. History matching methods.
5. Model Validation.
6. An Excel sheet instead of MBAL.

 

Day Two:-

1. Histogram building.
   2. Monte Carlo Simulation
   3. Alternative method: Deterministic Method

Day Three:-

Decline curve tool:

1. DCA, Why?
2. DCA Types; and Arps Restrictions.
3. Case studies: 7 cases.
4. Some Tips, Tricks and Traps.

Day Four:-

1. 1D Model tool:
2. 1D Model Applications.
3. Case studies: 2 cases.
4. Reservoir allocation tool:
5. Allocation meaning.
6. Why allocation.
7. Case studies: 2 cases.

 

Day Five:-

Tight gas tool:

1. Applications.
2. Case study

Practical Reservoir Simulation Part 1

comprehensive Reservoir Simulation Course

 Objectives of integrated reservoir studies
 Data used in a reservoir simulation study
 Review of reservoir data: PVT, RCAL, SCAL, production, etc.
 Geology & static model construction
 Data import and data templates
 Simulation grid construction
 Structural framework
 Reservoir model design
 Structural compartments: fault geometry
 Reservoir architecture: facies model

 Depletion strategy
 Development strategy

 Simulation grid modifications
 History matching workflow
 Multiple scenarios, realizations, and ranking
 Screen alternative production strategies
 Sensitivity and uncertainty analysis

 Simulation grid properties
 Dynamic modelling

Oil Field Data Management Part 1

+ Navigate through OFM user interface and build Project from A to Z.
+ Perform Reservoir performance analysis
+ Candidate recognition for workover/ infill
+ Visualize and analyse reservoir and production data in a cost-effective, integrated environment
+ Perform Production and injection monitoring and surveillance
+ Pattern analysis for waterflood optimization
+ Perform Well and completion performance analysis and diagnostics
+ Production forecasting for field- or well-level analysis
+ Performance benchmarking and vintage analysis
+ Build an interactive dashboard for improved decision making
+ Perform DCA and production forecast
+ Perform Production Performance Comparison and Benchmark.
+ Build flexible workflows by combining industry-standard and user.

Practical Reservoir Simulation Part 2

 Introduction to field development planning (PDF)
 Objectives of integrated reservoir studies
 Data used in a reservoir simulation study
 Review of reservoir data: PVT, RCAL, SCAL, production, etc.
 Geology & static model construction
 Data import and data templates
 Simulation grid construction
 Structural framework
 Reservoir model design
 Structural compartments: fault geometry
 Reservoir architecture: facies model

 Depletion strategy
 Development strategy

 Simulation grid modifications
 History matching workflow
 Multiple scenarios, realizations, and ranking
 Screen alternative production strategies
 Sensitivity and uncertainty analysis

 Simulation grid properties
 Dynamic modelling

Oil Field Data Management Part 2

+ Navigate through OFM user interface and build Project from A to Z.
+ Perform Reservoir performance analysis
+ Candidate recognition for workover/ infill
+ Visualize and analyse reservoir and production data in a cost-effective, integrated environment
+ Perform Production and injection monitoring and surveillance
+ Pattern analysis for waterflood optimization
+ Perform Well and completion performance analysis and diagnostics
+ Production forecasting for field- or well-level analysis
+ Performance benchmarking and vintage analysis
+ Build an interactive dashboard for improved decision making
+ Perform DCA and production forecast
+ Perform Production Performance Comparison and Benchmark.
+ Build flexible workflows by combining industry-standard and user.

PVT Analysis Part 2

You will get familiar with the Main PVT analysis concepts.

• Get familiar with the all PVT experiments for reservoir fluid types.
• Know how to evaluate the all PVT properties.
• Make decisions about fluid sampling
• Determine PVT laboratory procedures required
• Analyse PVT reports
• Identify the relevant PVT data for various tasks according to operating conditions
• QC/QA PVT data
• Use PVT Correction and adjusting techniques.
• Know how to select the appropriate correlation based on raw fluid properties in case of no PVT data
• Fully understanding of reservoir fluid modelling.
• Greater understanding of Equation of state applications.
• Acquire the ability to characterize reservoir fluid using the EOS properties regression.
• Run the EOS model to calculate the needed experiments based on the existing measurements.
• PVT advanced issues like PVT and flow assurance, PVT and advanced mud gas analysis, PVT and geochemicalstudies, PVT and formation pressure testing measurements, Experiments for unconventional reservoirs.

Oil Field Data Management

Rate Transient Analysis

• Development of production data analysis techniques over time.
• Production data analysis applications.
• Arps & Fetkovic old school Decline curve analysis techniques.
• Blasingame, Agarwal-Gardner & NPI modern production data analysis techniques.
• Flowing Material Balance Method.
• Production Data analysis of hydraulically fractured & horizontal wells.
• Perform production data analysis using software.

Advanced Pressure Transient Analysis

• Types of Test Analysis
• Diagnostic and derivative analysis
• Types of well testing
• Numerical analysis
• Test Design consideration and DST

Waterflooding Design & Optimization

➢ How proper reservoir characterization can greatly affect waterflood design and performance monitoring.
➢ How to estimate reserves using the industry standard techniques – Class problem
➢ Evaluate reservoir drives to confirm water injection requirements - Case study
➢ Learn step-by-step how to design waterflood projects.
      • Data requirements and timing to start water injection
      • Methods to control water injection volumes and pattern balancing
      • How to estimate expected incremental oil recovery, using various analytical methods such as;
Buckley-Leverett, Dykstra-Parsons, and Stiles methods – Class problems
➢ How to monitor the performance of waterflood project to achieve the highest oil recovery, including:
      • Pressure history and Voidage Replacement Ratio’s (VRR’s) calculations.
      • How to evaluate injected water quality and to select proper water filter size
      • How to use conformance plots to evaluate performance and make waterflood design
adjustments to improve performance
      • Use the Hall Plot and PLT to propose workovers for production optimization – class problem
      • A review of a unique water injection problem for a formation expending a check valve effect!!
      • The review and revise water injection pattern, if necessary
➢ Myths of waterflooding Patterns

Thermal EOR Modeling by CMG

By the end of this course, you will be able to build, using the CMG application, the following cases:

Testing the black oil model for the do nothing (DN) case, then simulating water injection or gas injection to compare the effect on oil recovery with the DN case

1. Creating a Horizontal Well
2. Creating hydraulic fracturing (basics)
3. Creating a steam injection case and running it using CMG STARS
4. Creating a Cyclic Steam Stimulation Case (CSS)
5. Creating a Steam-Assisted Gravity Draining Case (SAGD)

Polymer Injection Modeling by CMG

By the end of this course, you will be able to

• Knowledge about reservoir management workflow before stating polymer enhanced oil recovery
• Understand of the basic aspects about polymer enhanced oil recovery
• Understand the main effective parameters affected on the modeling of polymer enhanced oil recovery
• Built the different simulation sensitivities cases of polymer enhanced oil recovery with changing the polymer concentration, polymer slug volumes, polymer properties like degradation and shear rates
• Built the different simulation sensitivities cases of polymer enhanced oil recovery with taking the effect of polymer with rocks like polymer adsorption and residual oil saturation reduction

Material Balance Best Practices

More than 20 cases from practical life covering different concepts in Analytical Reservoir Engineering

Course Objectives:

By the end of the course, participants will be able to:

1. Understand the fundamental principles of material balance in reservoir engineering.
2. Perform material balance calculations for oil and gas reservoirs.
3. Use MBAL software to analyze reservoir performance data.
4. Evaluate the influence of drive mechanisms on reservoir behavior.
5. Apply material balance methods for forecasting reservoir performance.
6. Integrate material balance analysis with production data and reservoir simulation.

Advanced Practical Reservoir Simulation

Carbonate Reservoir Modeling

Nuclear Magnetic Resonance (NMR)