This course provides an overview of reservoir engineering principles, from understanding reservoir rock and fluid properties to examining fluid flow mechanics, well performance, and reservoir management strategies.
#reservoir_engineering#fluid_flow#well_performance#reservoir_management
1. Calculate porosity, absolute permeability, and formation factor from core analysis and well logs using Archie’s law and saturation models (e.g., Timur–Coates).
2. Interpret capillary pressure and relative permeability datasets to derive wettability indicators and endpoint saturations (Swirr, Sor).
3. Derive net pay, bulk volume water, and hydrocarbon pore volume using defensible log cutoffs and uncertainty bounds.
4. Validate petrophysical interpretations by cross-checking core, log, and SCAL results with quantitative QA/QC criteria.
1. Classify reservoir fluids (black oil, volatile oil, gas condensate, dry/wet gas) from PVT reports and laboratory experiments.
2. Compute Bo, Bg, Rs/Rv, compressibility, and viscosities from lab data and correlations; tune EOS (Peng–Robinson/SRK) to match key PVT points.
3. Construct phase envelopes and identify bubble and dew points; quantify retrograde condensation risks for gas-condensate systems.
4. Generate black-oil or compositional PVT tables and verify consistency for reservoir simulators.
1. Apply Darcy’s law and non-Darcy corrections to compute pressures, rates, and productivity under radial and linear flow geometries.
2. Evaluate fractional flow, mobility ratio, and shock-front saturation using Buckley–Leverett and JBN methods to estimate breakthrough and sweep.
3. Diagnose dominant drive mechanisms (solution gas, water drive, gas cap, compaction) from production trends and pressure behavior.
4. Quantify effects of heterogeneity, anisotropy, relative permeability hysteresis, and capillary/gravity forces on recovery efficiency.
1. Construct IPRs with appropriate models (Darcy, Vogel, Fetkovich) and quantify productivity index and skin effects.
2. Integrate VLP correlations or network models to perform nodal analysis and select optimal choke settings or artificial lift strategies.
3. Design and interpret pressure transient tests (drawdown/buildup) using Horner, MDH, and Bourdet derivatives to estimate k, skin, and boundaries.
4. Apply rate transient analysis (Arps, Blasingame, Agarwal–Gardner, Duong) to characterize flow regimes and forecast deliverability.
5. Recommend well interventions (perforation tuning, stimulation, lift upgrades) based on hydraulic, mechanical, and facility constraints.
1. Compute STOIIP/OGIP via deterministic and probabilistic volumetrics; propagate uncertainty with Monte Carlo simulation.
2. Execute Havlena–Odeh material balance to estimate in-place volumes, drive indices, and aquifer parameters (e.g., Fetkovich/Carter–Tracy).
3. Classify reserves and resources per SPE-PRMS, documenting development maturity, contingencies, and economic limits.
4. Reconcile volumetric, material-balance, and production-derived estimates to produce low/most-likely/high cases.
1. Build tank/sector models and set up black-oil simulation cases (e.g., Eclipse/CMG/tNavigator) with appropriate rock–fluid inputs.
2. Calibrate models via history matching using objective functions and constraints; apply manual and assisted techniques.
3. Forecast base and development scenarios (drilling, waterflood, gas injection) and perform sensitivities and uncertainty analysis.
4. Validate model credibility with diagnostic plots and residual analysis; document assumptions and limitations.
1. Design a surveillance program (pressure surveys, PLT, tracers, 4D seismic) with KPIs, frequencies, and trigger thresholds.
2. Screen EOR options (pattern waterflooding, miscible gas/CO2, polymer/surfactant, thermal) and estimate incremental recovery and facility impacts.
3. Integrate geoscience, drilling, and facility constraints to propose development plans; construct decision trees and compute NPV/EMV.
4. Implement data-driven surveillance dashboards and anomaly detection using production databases (e.g., OFM/Spotfire) with governance standards.
5. Communicate recommendations with risk registers and HSE considerations, and define execution roadmaps for field implementation.
