Fundamentals of Applied Reservoir Engineering Appraisal, Economics and Optimization
Auteur : Wheaton Richard
Fundamentals of Applied Reservoir Engineering introduces early career reservoir engineers and those in other oil and gas disciplines to the fundamentals of reservoir engineering. Given that modern reservoir engineering is largely centered on numerical computer simulation and that reservoir engineers in the industry will likely spend much of their professional career building and running such simulators, the book aims to encourage the use of simulated models in an appropriate way and exercising good engineering judgment to start the process for any field by using all available methods, both modern simulators and simple numerical models, to gain an understanding of the basic 'dynamics' of the reservoir ?namely what are the major factors that will determine its performance. With the valuable addition of questions and exercises, including online spreadsheets to utilize day-to-day application and bring together the basics of reservoir engineering, coupled with petroleum economics and appraisal and development optimization, Fundamentals of Applied Reservoir Engineering will be an invaluable reference to the industry professional who wishes to understand how reservoirs fundamentally work and to how a reservoir engineer starts the performance process.
Chapter 1. Introduction
Chapter 2. Basic Rock and Fluid Properties
Chapter 3. Well-Test Analysis
Chapter 4. Analytical Methods for Prediction of Reservoir Performance
Chapter 5. Numerical Simulation Methods for Predicting Reservoir Performance
Chapter 6. Estimation of Reserves and Drive Mechanisms
Chapter 7. Fundamentals of Petroleum Economics
Chapter 8. Field Appraisal and Development Planning
Chapter 9. Unconventional Resources
Chapter 10. Producing Field Management
Chapter 11. Uncertainty and the Right to Claim Reserves
- Covers reservoir appraisal, economics, development planning, and optimization to assist reservoir engineers in their decision-making.
- Provides appendices on enhanced oil recovery, gas well testing, basic fluid thermodynamics, and mathematical operators to enhance comprehension of the book’s main topics.
- Offers online spreadsheets covering well test analysis, material balance, field aggregation and economic indicators to help today’s engineer apply reservoir concepts to practical field data applications.
- Includes coverage on unconventional resources and heavy oil making it relevant for today’s worldwide reservoir activity.
Date de parution : 04-2016
Ouvrage de 248 p.
15.2x22.8 cm
Thèmes de Fundamentals of Applied Reservoir Engineering :
Mots-clés :
4-D seismic; Analog data; Buckley�Leverett method; Capillary pressure; Central role of reservoir engineering; Coal bed methane; Coal seam gas; Combination of geological; Combustion methods; Commercial uncertainty; Decline curves; Derivation of diffusion equations; Deterministic methods; Different grid structures; Drive mechanisms; Economic indicators; Economic uncertainty; Expected monetary value; Explicit and implicit solutions methods; Finite differences; Front-end loading; Gas condensate recycling; Gas decline; Heavy oil; History matching; Horner plots; Hydrocarbons in place; Laboratory and field data; Material balance; Models from fundamental laws; Net present value; Oil decline; Payback time; Petrophysical; Pressure buildup analysis; Pressure drawdown analysis; Pressure monitoring; Pressures and saturation with depth; Probabilistic methods; Production rate monitoring; Profit-to-investment ratio; Radial diffusivity equations; Real rate of return; Recovery factors; Relative permeability; Rock properties; Sensitivity analysis; Shale gas; Shale oil; Skin effects; Solution gas drive; Spreadsheet software available; Spreadsheets available for each of these; Steam flooding; Structure of numerical models.Sweep efficiency; Technical uncertainty; Thermodynamics of reservoir fluids; Tracers; Understanding petroleum economics.Value of information analysis; Water flooding.Waterflood model.Wellbore storage; Welltest analysis; Wettability