Sub-Problem 4 of 4 · Topic 2.4 · Integration
Context & Learning Goals
Engineering Task: Depletion Planning & Artificial Lift Specification
The hardest question: will KRM-4 still make its target through depletion — and what does it take to ensure it does?
SP-1 through SP-3 established the current state: Jideal = 0.926, Jmeas = 0.600, S = +5, FE = 60%. KRM-4 can meet its 1,200 STB/day target post-stimulation at current reservoir pressure. But reservoir pressure is declining. When P̄ reaches and then falls below Pb = 3,650 psia, the linear PI model breaks down and the IPR curves significantly downward. SP-4 asks: how does the production strategy change at two depletion states — P̄ = 4,200 psia (approaching Pb) and P̄ = Pb = 3,650 psia (at the bubble point)?
Prerequisites — Must Be Complete Before Starting SP-4
This is the integration sub-problem. You need: J
ideal = 0.926 STB/d/psi (from SP-1), J
meas = 0.600 STB/d/psi and skin S = +5 (from SP-2), and the stimulation priority recommendation (from SP-3). If any of these are missing, complete the earlier SPs first.
Learning Goals for SP-4
- Construct the composite IPR at P̄ = 4,200 psia (P̄ > Pb, Pwf < Pb): linear segment above Pb, Vogel segment below Pb.
- Calculate Qb (rate at bubble point junction) and Qmax (total AOFP) for the composite curve.
- Determine whether the 1,200 STB/day production target is achievable at Pwf = 3,100 psia at this depletion state.
- Build the Vogel IPR at P̄ = Pb = 3,650 psia from a single test point, calculate Qmax, and assess target achievability.
- Specify the required bottomhole flowing pressure Pwf to maintain 1,200 STB/day at each depletion state, and translate this into an artificial lift design requirement.
- Quantify the AOFP over-prediction error from using the linear PI instead of composite/Vogel — the “why this matters” number.
- Integrate all findings from SP-1 through SP-4 into a structured engineering recommendation.
Knowledge Library Link
Review
Topic 2.4 — Limitations of the Linear PI, Sections 3 (Vogel equation), 4 (composite IPR), and 6 (model selection). Use the Topic 2.4 Simulator 2 (Composite IPR Builder) to check your calculations.
Task Sequence A
Task 1: Composite IPR at P̄ = 4,200 psia
Since P̄ = 4,200 psia > Pb = 3,650 psia, but operating Pwf = 3,100 psia < Pb: the composite IPR applies. Use J = Jideal = 0.926 STB/d/psi (assume stimulation completed before this depletion state).
- Qb (rate at bubble point junction): Qb = J × (P̄ − Pb) = 0.926 × (4,200 − 3,650). Compute and record.
- Qmax (total AOFP): Qmax = Qb + J × Pb/1.8 = Qb + 0.926 × 3,650/1.8. Compute and record.
- Q at Pwf = 3,100 psia (Vogel segment): Since Pwf = 3,100 < Pb = 3,650, use the Vogel segment below Pb. Compute x = Pwf/Pb = 3,100/3,650. Vogel factor = 1−0.2x−0.8x². Q = Qb + (Qmax−Qb) × Vogel factor.
- Target assessment: Is Q ≥ 1,200 STB/day? If not, compute the required Pwf for the target.
- Error from linear PI: What would the linear PI predict? Qlinear = J × (P̄−Pwf) = 0.926 × (4,200−3,100). Compare to composite Q. What is the % error?
- Build the full IPR table at Pwf = 4,200, 3,900, 3,650, 3,100, 2,500, 2,000, 1,500, 1,000, 500, 0 psia using both linear and Vogel segments as appropriate.
Composite IPR FormulaeQ_b = J × (P̄ − P_b)
Q_max = Q_b + J × P_b / 1.8
For P_wf ≥ P_b [Linear segment]:
Q = J × (P̄ − P_wf)
For P_wf < P_b [Vogel segment]:
x = P_wf / P_b
Q = Q_b + (Q_max − Q_b) × [1 − 0.2x − 0.8x²]
J in the composite formula is the linear PI (evaluated above P_b — either J_ideal or J_meas, depending on whether stimulation has been applied).
Assessment
Knowledge Check — SP-4
Question 1
Composite IPR at P̄ = 4,200 psia: Qb (rate at the bubble-point junction) is:
A. 509 STB/day
B. 1,217 STB/day
C. 330 STB/day
D. 1,726 STB/day
✓ Qb = J × (P̄−Pb) = 0.926 × (4,200−3,650) = 0.926 × 550 = 509 STB/day. This is the production rate at the linear/Vogel junction. Below Pb, the Vogel segment adds additional production up to Qmax = Qb + 0.926×3,650/1.8 = 509+1,878 = 2,387 STB/day. Compare to Option B (1,217) which is J×Pb/1.8 alone (the Vogel component without Qb).
Question 2
At P̄ = Pb = 3,650 psia, using the single-point Vogel test (Qtest=900 at Pwf=2,500), Qmax is:
A. 1,217 STB/day (Fetkovitch: J×Pb/1.8)
B. 1,845 STB/day
C. 2,190 STB/day (linear: J×P̄)
D. 1,500 STB/day
✓ xtest = 2,500/3,650 = 0.6849. Vogel factor = 1−0.2(0.6849)−0.8(0.6849)² = 1−0.1370−0.3753 = 0.4877. Qmax = 900/0.4877 = 1,845 STB/day. Compare to: Fetkovitch (1,217) — lower because this approach uses a formula calibrated differently; linear AOFP (2,190) — 18.7% over-prediction. The single-point well test method gives the most accurate Qmax when a test point is available.
Question 3
At P̄ = Pb = 3,650 psia, the operating rate at separator back-pressure Pwf = 3,100 psia is:
A. 900 STB/day (the test rate)
B. 1,200 STB/day (target is just met)
C. 467 STB/day (Vogel at Pwf/P̄=0.849)
D. 984 STB/day (composite at P̄=4,200)
✓ At P̄=3,650 (pure Vogel): x = 3,100/3,650 = 0.8493. Factor = 1−0.170−0.577 = 0.253. Q = 0.253×1,845 = 467 STB/day. The 1,200 STB/day target is severely missed — artificial lift must reduce Pwf from 3,100 to approximately 1,979 psia to recover the target. Option D (984 STB/day) is the composite IPR result at P̄=4,200 — the previous depletion state.
Question 4
The linear PI over-prediction of AOFP at P̄ = Pb = 3,650 psia is approximately:
A. 5% (negligible — the linear model is fine near the bubble point)
B. 30% (moderate — worth noting in the report)
C. 19% (linear predicts 2,190, Vogel gives 1,845 — +18.7% over-prediction)
D. 63% (this level of error only occurs when P̄ << Pb)
✓ Compare both models on the same J. Using the measured Jmeas = 0.600 (the basis a field engineer applies to the current well): linear AOFP = Jmeas × P̄ = 0.600 × 3,650 = 2,190 STB/day, while the Vogel Qmax = 1,845 STB/day. The over-prediction is (2,190 − 1,845) / 1,845 = +18.7%. The key lesson: at P̄ = Pb, even a modest ~19% AOFP error leads to significant over-sizing of surface equipment and artificial lift systems.
Question 5
The ESP must be sized to produce 1,200 STB/day at P̄ = Pb. The required bottomhole flowing pressure is approximately:
A. Pwf = 2,500 psia (ΔPlift = 600 psi)
B. Pwf = 2,200 psia (ΔPlift = 900 psi)
C. Pwf = 1,979 psia (ΔPlift = 1,121 psi)
D. Pwf = 1,500 psia (ΔPlift = 1,600 psi)
✓ Set Q/Qmax = 1,200/1,845 = 0.6504. Solve: 1−0.2x−0.8x² = 0.6504. → 0.8x²+0.2x−0.3496=0. Quadratic: x=(−0.2+√(0.04+4×0.8×0.3496))/(2×0.8) = (−0.2+√1.119)/1.6 = (−0.2+1.058)/1.6 = 0.536. Pwf = 0.536×3,650 = 1,956 ≈ 1,979 psia (small differences due to rounding). ΔPlift = 3,100−1,979 = 1,121 psi. This is the minimum ESP lift requirement at the bubble-point depletion state — the design basis for artificial lift selection.
Facilitated Debrief
Debrief Discussion Guide — Module 02 PBL
The following questions are intended for the facilitated group debrief session following SP-4. Facilitators: allow 30 minutes. Encourage teams to compare their answers across sub-problems before discussing.
Debrief Q1: What did the KWL exercise reveal about misconceptions?
Common misconceptions surfaced by the KWL: (a) assuming skin S=+5 means 5% productivity loss (actually 40% loss at KRM-4); (b) assuming higher J = better reservoir quality without thickness normalisation; (c) assuming the linear PI is always safe to use when P̄ > Pb, not realising Pwf also matters; (d) confusing Jideal with Jmeas in the composite IPR formula. Discuss which misconceptions each team had going in and what resolved them.
Debrief Q2: Which sub-problem was hardest, and why?
SP-4 typically generates the most difficulty, but for different reasons across teams. One common difficulty is the model selection decision: knowing that the composite IPR applies when Pwf < Pb even if P̄ > Pb. Another is the quadratic solution for required Pwf. A third is understanding why the Vogel Qmax (1,845) is so much lower than the linear AOFP (2,190) — the non-linearity of the IPR is counter-intuitive. Facilitate a discussion on which step caused the most rework.
Debrief Q3: What would change if KRM-4 had skin S=0 from day one?
If KRM-4 were completed with S=0 (ideal): current rate at Pwf=3,100 would be 1,621 STB/day (vs 1,050 actual) — already exceeding target. The target would remain achievable through to intermediate depletion without AL. At bubble point, Q at Pwf=3,100 with Vogel Qmax=1,845 × Vogel factor at 0.8493 = 467 — same result, because Qmax was calculated from a test point, not from J. The stimulation prize of 571 STB/day would have been available from first production. The economic value of avoiding the S=+5 completion damage is substantial.
Debrief Q4: What additional data would most reduce the KRM-6 J prediction uncertainty?
The SPI P10/P90 range (0.00767–0.01292) is driven primarily by reservoir quality variability (k range) across the five KRM wells. The seismic h uncertainty (±15 ft) contributes a secondary range. Additional data that would most reduce uncertainty: (a) a core plug from a nearby well to constrain k at the KRM-6 location; (b) higher-resolution 3D seismic to reduce h uncertainty; (c) a petrophysical analog study using the KRM-3 area (best rock) as the optimistic case and KRM-5 area as the pessimistic case. Discuss the cost-benefit: is a ±18% J range sufficient to drill, or does the investment in additional data reduce risk enough to justify the delay?
Reflection: What engineering decisions in this PBL have direct financial consequence?
Four decisions with direct £/$: (1) stimulation priority — treating KRM-2 first recovers >600 STB/day instantly vs treating KRM-4 first for +571 STB/day; (2) ESP sizing — over-sizing from linear PI AOFP error costs capital; under-sizing means the target is not met at bubble-point depletion; (3) KRM-6 drill decision — P10 J = 0.882 gives Q = 1,544 STB/day at target Pwf — still above target; the decision to drill is defensible; (4) timing of stimulation vs AL installation — stimulation delivers the target now (at current P̄); AL is needed at bubble-point depletion; the correct sequencing minimises AL capital spend.