An Introduction to Reservoir Engineering for Geoscientists

Nautilus
Course summary
Length: 4 days
Price: 3,892 USD, 2,912 GBP
Language: English
Provider: Nautilus plus
Course type: Open / Scheduled
Next available date: 01/05/2017 - Houston
Course Dates
Houston
01/05/2017   (English)
3,892 USD
London
08/05/2017   (English)
2,912 GBP

An Introduction to Reservoir Engineering for Geoscientists

An Introduction to Reservoir Engineering for Geoscientists - training course

The course examines the standard reservoir engineering processes and techniques, particularly their interface with geoscience activities. It follows, and illustrates with examples, the use of subsurface data and the techniques employed during the construction of a reservoir model. The course covers three related main themes - building a static reservoir model; developing a dynamic reservoir numerical simulation model; reservoir management during the producing life of a field.

This is a four-day classroom course, comprising a mixture of lectures and case studies.

Suitability - Who should attend?

The course is aimed at geoscientists and professionals from other disciplines who interface with reservoir engineers in their regular work, or who wish to obtain a broad grounding in reservoir engineering techniques. It is appropriate for reservoir or production geoscientists at an introductory level and for exploration geoscientists at an intermediate or advanced level.

Outcome / Qualification etc.

Participants will learn to:

  1. Operate more effectively, and work more collaboratively, with their Reservoir Engineering colleagues.
  2. Interpret original fluid contacts, through analysis of logs and pressure vs. depth profiles, prior to production start-up; understand saturation vs height relationships and estimate original hydrocarbon in place volumes, for both oil and gas reservoirs.
  3. Employ fluid sampling techniques. Differentiate the physical and chemical properties of hydrocarbons and their description through phase diagrams.
  4. Examine the uses and importance of well tests, and appraise how analysis is conducted. 
  5. Analyse production performance in the wellbore, and debate artificial lift techniques. Compare production enhancement through stimulation, horizontal wells and completion techniques. 
  6. Examine the processes and interfaces of building both static and dynamic reservoir models. Show awareness of the principles, objectives, demands and uses of reservoir numerical simulation techniques and its validation.
  7. Analyse the importance of continued reservoir management for forecasting future production profiles and maximising economic hydrocarbon recovery from a producing field over the complete life cycle.
  8. Examine the controls on fluid flow in the reservoir, reservoir drive mechanisms; re-establish fluid contacts after monitoring their movement.
  9. Compare the Enhanced Recovery techniques: steam and fire flooding; miscible and immiscible gas displacement.

Training Course Content

The material covered in this course is built around the process of the construction of a reservoir model. The process is in three parts:

  1. Building a static reservoir model
  2. Developing a dynamic model
  3. Reservoir management during the producing life of a field

The static reservoir model refers to the description of the reservoir in terms of reservoir and fluid distribution, volumetrics and reservoir zonation to identify the main potential flow units.

The dynamic model builds on the static model to include the consideration of fluid flow in the reservoir, near the wellbore and through the production tubing to the wellhead. The dynamic model is often constructed using a numerical reservoir simulator, but there are analytical techniques which can be used to predict fluid flow in the reservoir.

Reservoir management is a key activity for a producing field, performed with the general objective of maximising economic recovery. Monitoring is performed by measuring production and pressures in the reservoir and the results drive the forward activity programme and production forecasts.

Throughout the class the use of complex mathematics has been avoided in order not to upset sensitive geologists and the material concentrates on the principles rather than the detailed work of the reservoir engineer.

IntroductionBasic Reservoir Rock And Fluid Description

1. Controls on fluid flow in the reservoir

  • Rock permeability, and relationship with porosity
  • Reservoir zonation

2. Defining fluid contacts and estimating volumetrics

  • Basic reservoir volumetrics
  • Defining fluid contacts; RFT pressure measurements and Pressure vs Depth relationships
  • Capillary pressures and saturation-height relationships

3. Reservoir fluid properties

  • Fluid sampling
  • Analysis of fluid samples
    - Chemical properties of hydrocarbons
    - Physical properties of hydrocarbons
    - Phase diagrams
  • Making use of the PVT report

4. Well test analysis

  • Uses of well testing
  • Planning a well test
  • Well testing operations
  • Well test analysis – determining kh, skin, PI, boundary effects
     - Analysis principles
     - Analysis techniques – semi-log and log-log analysis
     - The components of total skin
     - Special test types

Dunamic Behaviour of Reservoir Fluids

5. Material balance and fluid displacement

  • Drive mechanisms; depletion, gas cap drive, water drive
  • Material balance for oil reservoirs
  • Material balance for gas reservoirs
  • Fluid displacement on a macroscopic scale; sweep efficiency
  • Fluid displacement on a microscopic scale; relative permeability
  • Estimating recovery factors
  • Diffuse and segregated flow regimes
  • Buckley-Leverett displacement theory

6. Dynamic well performance

  • The inflow performance relationship
  • Tubing performance curves
  • Artificial lift
  • Coning and cusping
  • Well completions
  • Horizontal wells
  • Well stimulation; fracturing and acidisation

7. Reservoir simulation

  • Gridding
  • Simulation principles
  • Input, output and visualisation

Measuring Reservoir Performance And Reservoir Management

8. Reservoir monitoring

  • Overview of reservoir management
  • Monitoring tools: pressure, PLT, TDT, production and injection data
  • Well interventions and workovers

9. Production Forecasting

  • Field analogues
  • Decline curve analysis
  • Analytical models
  • Reservoir simulation and history matching
  • Probabilistic production forecasting

10. Enhanced Oil Recovery techniques

  • Defining the target oil
  • EOR techniques
  • Steam and fire flooding
  • Miscible gas displacement
  • Immiscible gas displacement
  • Novel techniques

Expenses

The cost of this training course is GBP 2572 per delegate.

In-House Training

Nautilus can also deliver this training course on an in-house basis, helping your staff achieve their professional development goals. With a customised, In-House Training solution, you can tailor the course content to individual company requirements by incorporating your data, your software, or specific case studies.

Provider: Nautilus

Nautilus

Over the past 17 years Nautilus has developed a portfolio of world-class training courses for professionals in the energy industry. Acquired by the RPS Group in March 2011, Nautilus is now part of the Energy division of RPS. Starting from six...


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Reviews by course attendees

          (5)
Production Geologist   |   15/04/2016
Very pleased with the course. Very well structured and covered all the topics with fair spread of time. Best was the discussion bit. Not sure I can use, but can definitely understand "RE language" as well as understand where I (geologist) can contribute towards simulation. Determined to read the PVT reports now and calculate FVF from it! Integr...
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          (5)
Principle Operations Geologist   |   12/04/2016
Excellent. Perfect pace, good materials, excellent presenter. Enjoyed the course very much.
          (5)
Graduate Geologist   |   09/04/2016
Yes, it greatly improved my limited understanding and I also feel confident enough to complete and/or challenge the RE using the concepts taught and employing analytical techniques/approaches to problems.