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Wellhead compression: what the reservoir gives and what it costs to move — a PENG-ROBINSON process flowsheet

A gas well is not a feed whose flow you type in. The rate is an OUTCOME of how hard the facility pulls on the reservoir, and this example starts there. The well runs the Vogel inflow-performance relationship: at a 250 bar reservoir pressure and a 5e-5 mol/s/Pa productivity index its absolute open flow is J x p_r / 1.8 = 694 mol/s, and the fraction of that you actually get follows 1 - 0.2(p_wf/p_r) - 0.8(p_wf/p_r)^2. Holding 180 bar at the bottomhole delivers 306 mol/s, 44% of open flow. Squeeze to 150 bar and it rises to 411; back off to 240 and it collapses to 49. The curve is deliberately not a straight line — that curvature is why compression pays for itself, and why the last increment of drawdown buys less than the first. Compression is where the stage count earns its keep. Taking that gas from 30 to 150 bar in ONE stage lands the discharge at 507 K (234 C) — past what reciprocating machine valves and lube oil tolerate, before any efficiency argument. Split it into three with intercooling to 313 K and the discharge is 360 K; four stages give 348 K. The temperature, not the power, is what sets the stage count on a real machine. The power still falls: duty on this unit is the shaft work the drivers deliver, 2078 kW in one stage and 1615 kW in three (22% less, because each stage starts cool). The three-stage train's intercoolers reject 2022 kW, reported apart as intercooler_duty and billed as cooling, not power. (Until 2026-10-18 the two were summed into one duty, which read -384 kW at three stages.)

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WELL
COMP
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What this showcases
  • Rigorous PENG-ROBINSON thermodynamics, solved by the same engine every simulation runs on.
  • 2 unit operations modeled: WELL, COMP.
  • Focus areas: Upstream, Well, IPR, Vogel, Compression, Gas processing.
Specification
Thermodynamics
PENG-ROBINSON
Components
methane, ethane, propane, co2
Unit operations
WELLCOMP
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Python SDK

Reproduce this exact result from Python — the real client.get_example() → run_and_wait() path, not a mockup.

from flowsim.sdk import FlowSimClient

client = FlowSimClient()
example = client.get_example("wellhead-compression")
sim = client.create_simulation(example["title"], example["flowsheet"])
result = client.run_and_wait(sim["id"])

print(result["status"])              # "converged"
streams = client.streams(sim["id"])

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