Case Study One
Case Study 1: Nechelik Field — Multi-Well Pressure Interference & Drainage Simulation
• Model heterogeneous reservoirs with real geostatistical data
• Capture multi-well interference and drainage efficiency
• Validate numerical results against analytical benchmarks
• Run without expensive commercial licenses (ECLIPSE, INTERSECT, CMG)
Step 1 — Grid construction. Built a 54 × 22 finite-difference grid (1,188 active blocks) over a reservoir footprint of 7,060 ft × 5,753 ft × 100 ft. Imported spatially varying porosity and permeability from Nechelik field datasets. Inactive cells (NaN / zero permeability) rigorously masked.
Step 2 — Matrix assembly. Assembled sparse transmissibility (T), accumulation (B), source (Q), and well productivity (J) matrices. Used harmonic mean permeability averaging for transmissibility calculations.
Step 3 — Implicit solver. Solved the diffusivity equation implicitly via sparse matrix inversion at 1-day timesteps over a 201-day forecast horizon, ensuring unconditional stability.
Step 4 — Well modeling. Implemented Peaceman well model for BHP-controlled producers and constant-rate injector. Captured well-to-well interference, skin effects, and dynamic productivity index evolution as reservoir pressure depletes.
Step 5 — Validation. Cross-validated numerical pressure profiles against the line-source analytical solution (exponential integral / Ei-function) for radial flow, ensuring code verification and benchmarking accuracy.
Reservoir: 7,060 × 5,753 × 100 ft
Timestep: 1 day
Forecast: 201 days
Wells: 1 injector + 5 producers
Boundary: Mixed (rate + BHP)
Flow regime: Radial
Agreement: Numerical vs. analytical
Method: Line-source solution
Purpose: Code verification
Status: Validated
[Figure 1: 3D pressure surface plot — Nechelik Field at 100 days]
[Figure 2: 2D pressure contour map — multi-well interference pattern]
[Figure 3: Rate-decline curves — 5 producers + 1 injector]
• Injector bottom-hole pressure response over 201 days
• Cumulative oil production (Np) for reserves estimation
• 3D pressure surface plots for visual communication
• 2D contour maps showing drainage patterns and interference
• Rate-decline curves for production forecasting and development planning
