TRAINING

Workshops are offered to teams developing integrated asset models looking to develop more advanced techniques.

PETROAUS will collaborate with you to set agreed learning objectives, and dedicate a Petroleum Engineer with the appropriate expertise to support the learning process.

Course Objective

Upon completion, participants will understand the fundamental aspects of Integrated Production Modelling, and be able to apply Advanced IPM practices and processes to work situations.

Concepts will be explored and presented interactively. The course includes a number of relevant real-life examples to consolidate the theoretical framework covered.


What is unique about this course?

- Practical worked examples
- Class exercises
- Interactive sessions
- Workshops
- Real examples and experiences 

Course Agenda

Day 1: Introduction

- Integrating reservoir models to surface network models and economics for field development purposes (long-term forecast)
- Connecting applications
- Transferring data amongst applications
- Creating field development scenarios
- Applying field operation rules in an integrated model
- Advanced even driven scheduling

Day 2: GAP / PROSPER

- Building a History Matched IPM Model
- VLP Matching with Multiple Well Tests
- Ensuring Consistency between Network and Well Models
- Optimum Pipeline Configuration and Production Optimisation 

 Day 3: MBAL/ OpenServer & Workflows  Reservoir

- Case  studies  using MBAL:  using  advanced matching strategies to achieve a history matched reservoir
- Using OpenServer to automate tasks in PROSPER, GAP and then migrating to Visual  Workflows in RESOLVE. 

Day 4 and 5: Other Integrated Studies

- Inflow Control Devices
- Production Systems Drive By Reinjection Potential
- Other Integrated Studies

Course Objective

The aim of this course is to come an intermediate user of the Petroleum Experts IPM suite.
In order to do this the delegates will need to become comfortable with the fundamentals


What is unique about this course?

- Practical worked examples and exercises
- Interactive sessions
- Workshop style training
- Real examples and experiences

Course Agenda

Day 1: Introduction to IPM applications, PROSPER Introduction
• Introduction to integrated production system and overall approach
• Introduction to PROSPER
• Pressure loss in wellbore, PVT impact
• VLP correlations theory
• Building a wellbore model, Matching PVT and flow correlations, and generation of lift curves for output to GAP or simulator.


Day 2: PROSPER, Inflow performance models and Artificial Lift Design
• Inflow Performance Modelling, - Special topics: skin calculation, gravel pack design
• Prosper Artificial Lift Design, Gas lift design.
• Use of Quick-look for gas lift
• ESP Design

Day 3: Introduction to MBAL – theory and capabilities
• Introduction to MBAL
• Running and matching prediction, importing VLP's and IPR's from PROSPER Introduction to Multi-PVT MBAL

Day 4: Building a surface network model – linking to PROSER well models
• Introduction to GAP • Building surface network model- linking PROSPER well models Generation of surface performance curves
• Linking PROSPER, MBAL and GAP for full field optimisation and forecasting

Day 5 General Workshop, Introduction to Automation and OpenServer
• Workshop, Client Case, Problem Solving and Formulation

Objective

This course will cover Integrated Modelling for different types of wells, concepts of nodal analysis, multiphase flow with PVT analysis. In addition, introduction to REVEAL* and model building for horizontal well. Also analysis of complex wells as well as tight and shale gas.

*Trademark of Petroleum Experts Ltd.

Course Agenda

Day 1

• Introduction to Integrated Modelling.
• Description of well modelling, concepts of nodal analysis.
• Multiphase Flow, Importance of PVT.
• Inflow modelling, applicability and limitations.

• Introduction to REVEAL.
• Building models and comparing with the analytical solutions of IPRs.
• Extending wells to horizontal, including water injectors.
• Importance of thermal modelling on injectivity.
• Thermal Fracturing.

• Complex well models.
  • ICV/ICDs – Equalizers.
  • Complex Gas Lifted well.

• Tight gas, Shale Gas and Tight Oil.
• Introduction to physical mechanisms driving production.
• Building tight models with fractures.
• Converting simulation results to analytical models.
• Link between modelling and monitoring tight/shale fluid wells.

• Continuing discussions on shale gas/tight oil.
• EOR topics: Polymers and steam (as applicable).

• Learn structural geological theory.
• Discuss the limitations of the theory.
• Apply the theory and become familiar with MOVE.

• Importance of integrated structural geology modelling for reducing uncertainty in the reservoir model.
• Geological model components – Terminology, assumptions, rock properties, describing shapes.
• Input data for geological models – Data types, collection methods, projection of data.
• Stress and Strain – Calculating in-situ stress, elastic properties, deformation, Andersonian faulting.
• Exercises – Introduction to MOVE; setting up a Stratigraphy Table; importing data; stereonet analysis; interpreting sections & calculating apparent dip.

• Constrained model building using basic geometric principles – Kink-band method.
• Material Balance – Assumptions, Simple depth-to-detachment, Area-depth calculation.
• Constrained model building using mass balance and geological principles – Constant Heave.
• Kinematic Models – Simple Shear, Fault Parallel Flow, Trishear.
• Exercises – Kink-band method to constrain fold shape; geometric fault construction; forward modelling deformation in 2D; geometric restoration.

• Sedimentary basins – Extensional, compressional, strike-slip.
• Evolution of rift basins – Tectono-stratigraphic observations, geological processes.
• Isostasy, mechanical compaction, thermal subsidence.
• Sequential Restoration – Introduction to technique.
• Exercises – Airy isostasy model, Sclater-Christie compaction model & McKenzie thermal subsidence model; Sequential Restoration in MOVE.

• Strain and fracture prediction – Relationship between strain and shear plane orientations
• Critical failure – Mohr Diagram and Coulomb failure.
• 3D model building – Techniques available in MOVE.
• Fault Displacement Analysis – Learn techniques to understand and validate fault displacement.
• Fault Seal Analysis – Fault Rock Seal, Shale Gouge Ratio.
• Exercises – Forward modelling deformation in 3D and calculating strain associated with deformation; generating Discrete Fracture Network (DFN); 3D model building; fault displacement and seal analysis.

• Use learnings from first four days to build a model and carry out integrated structural analysis in MOVE.

The course is targeted towards Petroleum Engineers or Reservoir Engineers with working knowledge of PVT lab reports and fluid PVT. The objectives for the PVT course are:

• To understand the fundamentals of PVT.
• PVT Modelling approaches of (with the pros and cons of each).
  • Equation of State.
  • Black Oil.
• Validating a lab report and Characterising a fluid with Equation of State.
• Obtaining black oil PVT definition from characterised fluid.

• Fundamentals of PVT.
• Fundamentals of Equations of State.
• Fundamentals of Black Oil Correlations.
• Quality checking of a PVT Report.
• Characterising of an Oil Sample (with good quality data).

• Black Oil Validation for Oil Sample (with good quality data).
• Characterisation of Oil Sample (revision workshop).
• Black Oil Validation for Oil Sample (revision workshop).

• Characterisation of Retrograde Condensate.
• Black oil validation for Condensate Sample.
• Considerations to take in characterising fluid with missing data.
• Flow Assurance analysis using compositional data.

• Consistent Fluid PVT definition in Integrated modelling using Lumping Delumping approach.
• Compositional Modelling options in IPM.

• Workshop – Characterising fluid samples from clients portfolio.

Reservoir forecasting using integrated modelling approaches utilising relative permeability and capillary pressure (so-called SCAL) inputs.   

This course provides guidance on to how to get the most out of ‘reasonable and unreasonable’ input values, providing an end-users point of view, supported by practical examples for both oil and gas reservoirs.

Reconciliation of lab data with an emphasis on expected reservoir drive performance using fractional flow theory is highlighted in this course.

Participants will gain an understanding of integrated field management functionality as platform for field management tasks, as well as gain insight into model catalogue functionality.

Training in the functionality of standard workflows in integrated field management includes: well rate estimation, well production test validation and analysis, model based production allocation, system quality control, optimisation and forecasting.