Reservoir Modeling and Simulation

Reservoir Engineering
By OgbonLab

Build the model, then flow it: the full static and dynamic reservoir workflow, hands on.

Build geocellular and static reservoir models, then run dynamic flow simulations, from first principles to confident expert practice.

15 parts 103 sections Free, browser-native
Start reading → First up: The Reservoir Modeling Workflow

Table of contents

Every section is a working session: text, math, code, interactive widgets. Click any title to jump in.

Part 1: Chapter 1: Foundations and the Subsurface

  1. The Reservoir Modeling Workflow
  2. Units and Nomenclature
  3. Depositional Environments and Reservoir Architecture
  4. Traps, Seals, and the Petroleum System
  5. Cores and Well Logs
  6. Seismic, Well Tests, and Production Data
  7. From Data to a Conceptual Model

Part 2: Chapter 2: Petrophysics for Modeling

  1. Porosity
  2. Permeability and the Poro-Perm Relationship
  3. Water Saturation from Resistivity
  4. Capillary Pressure and the Transition Zone
  5. Rock Typing and Flow Units
  6. Net Pay and Cutoff Sensitivity

Part 3: Chapter 3: Structural and Stratigraphic Framework

  1. Building the Structural Framework
  2. Horizons, Faults, and Zones
  3. Fault Modeling and Sealing
  4. Layering Schemes
  5. Honoring Dip and Structural Complexity
  6. Framework QC and Why It Matters

Part 4: Chapter 4: Grid Design and Cell Geometry

  1. Corner-Point Cell Geometry
  2. Grid Resolution and the Cost Tradeoff
  3. Pinchouts and Zero-Thickness Cells
  4. Local Grid Refinement
  5. The Grid Orientation Effect
  6. Cell-Quality QC

Part 5: Chapter 5: Geostatistics and Spatial Continuity

  1. Spatial Correlation and the Variogram
  2. Range, Sill, and Nugget
  3. Anisotropy
  4. Declustering
  5. The Normal-Score Transform
  6. Trends and Stationarity
  7. Fitting a Variogram to Data

Part 6: Chapter 6: Facies Modeling

  1. Facies Come First
  2. Blocking Well Logs
  3. Object-Based Modeling
  4. Truncated Gaussian Simulation
  5. Sequential Indicator Simulation
  6. Multiple-Point Statistics
  7. Honoring Wells, Trends, and Seismic

Part 7: Chapter 7: Petrophysical Property Modeling

  1. Kriging: The Best Estimate
  2. Kriging Versus Simulation
  3. Porosity Within Each Facies
  4. Permeability and the Poro-Perm Transform
  5. Cokriging with Seismic
  6. Multiple Realizations and Uncertainty
  7. Property Model QC

Part 8: Chapter 8: Volumetrics, Uncertainty, and Upscaling

  1. Gross Rock Volume and Contacts
  2. From Rock Volume to STOIIP
  3. Volumetric Uncertainty: Monte Carlo
  4. Tornado Charts
  5. Permeability Averaging
  6. Flow-Based Upscaling
  7. Upscaling Error and Connectivity

Part 9: Chapter 9: Fluids and Rock-Fluid Physics

  1. The Black-Oil Model: Bo and Rs
  2. Gas, Bg, and the Phase Envelope
  3. Fluid Viscosity
  4. Relative Permeability
  5. Capillary Pressure and Wettability
  6. End Points and Hysteresis
  7. Building the SCAL Dataset

Part 10: Chapter 10: Flow Physics, Governing Equations, and Initialization

  1. Darcy's Law
  2. Multiphase Darcy and Mobility
  3. Mass Conservation and Continuity
  4. The Pressure Equation
  5. Discretization and the Grid Block
  6. Transmissibility
  7. Initialization and Equilibration

Part 11: Chapter 11: Wells, Recovery, and Displacement

  1. Recovery Mechanisms and Drive Energy
  2. Mobility Ratio and Fractional Flow
  3. The Buckley-Leverett Displacement
  4. Sweep Efficiency
  5. Well Inflow and the Productivity Index
  6. The Well in the Simulator
  7. Enhanced Oil Recovery

Part 12: Chapter 12: Running a Simulation, History Matching, and Forecasting

  1. IMPES and Fully Implicit
  2. Timestep Control and the CFL Limit
  3. Newton Convergence and Material Balance
  4. Reading the Simulation Output
  5. History Matching as Inversion
  6. Non-Uniqueness and Uncertainty
  7. Forecasting and Development Scenarios

Part 13: Chapter 13: Frontier Topics in Reservoir Simulation

  1. Compositional Simulation
  2. Thermal Recovery
  3. Unconventional Reservoirs
  4. Coupled Geomechanics
  5. CO2 Storage and Trapping
  6. Data Assimilation and Ensemble Methods
  7. Proxy and Machine-Learning Models

Part 14: Chapter 14: Capstones and Final Assessment

  1. Capstone: An Offshore Oil Field
  2. Capstone: A Heavy-Oil Reservoir
  3. Capstone: A Tight-Gas Development
  4. Capstone: A CO2 Storage Project
  5. The Static-to-Dynamic Workflow
  6. From Model to Decision
  7. Final Assessment

Part 15: Chapter 15: The Complete Build, End to End

  1. The Field and the Plan
  2. Build the Structural Framework
  3. Populate the Facies
  4. Model the Properties
  5. Sum the Volumes
  6. Upscale to a Flow Grid
  7. Initialize and Drill
  8. Run the Waterflood

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