OSHA PSM methane/natural gas TQ 10,000 lbs · LEL 5% UEL 15% · LNG −162°C · NFPA 59A · EPA RMP all US LNG terminals · Sabine Pass LNG Cheniere Cameron Parish LA · Cove Point LNG Dominion Lusby MD · Cameron LNG Hackberry LA · Gate LNG Rotterdam Netherlands · South Hook LNG Milford Haven Wales · 77th upward attack · FIRST LNG terminal attack · FIRST BOG recondenser attack · FIRST cryogenic methane storage attack · FIRST LNG boil-off gas AI attack

Prompt injection in LNG terminal BOG recondenser boil-off gas methane AI

Liquefied natural gas (LNG; predominantly methane CH₂ at −162°C and atmospheric pressure; density 430–470 kg/m³; approximately 600× volume reduction compared to ambient-temperature natural gas) is stored in full-containment cryogenic tanks (inner tank: 9% nickel (Ni) steel; ASTM A645 or BS EN 10028-4; operating temperature −162°C; outer tank: prestressed concrete; annular space: perlite insulation 1.0–1.5 m thick; typical tank volume: 100,000–200,000 m³ = 43–94 million kg LNG per tank; Sabine Pass LNG operates twelve 160,000 m³ tanks). The fundamental operational challenge at any LNG storage and regasification terminal is the continuous generation of boil-off gas (BOG): heat ingress through the insulation (even at 0.1 W/m² insulation heat flux for a 160,000 m³ tank, the heat ingress is approximately 140 kW per tank — enough to vaporize 70–110 kg LNG/hr) continuously generates methane vapor at the liquid surface; additionally, loading operations (LNG tanker ship unloading discharges LNG from the ship’s cargo tanks into the shore tank — displacement vapor from the tank ullage space must be returned to the ship via vapor return line or compressed by BOG compressors); and LNG sendout pump start transients (rapid flow of very cold LNG through warm piping generates flash vapor). The cumulative BOG rate at a large terminal: 0.05–0.10% of tank volume per day = 21,500–94,000 kg CH₂/day per tank from heat ingress alone, plus loading/operational contributions.

BOG management is the central operational challenge at LNG terminals. The standard BOG handling system consists of: (1) BOG compressors (2–4 reciprocating or centrifugal compressors; suction from tank vapour spaces at 0.02–0.05 barg; discharge at 4–8 barg; typical capacity: 20,000–50,000 Nm³/hr each); (2) a BOG recondenser (a vertical column with a liquid level; high-pressure LNG from the sendout pumps at 8–12 barg and −140°C is injected as the coldant; compressed BOG at 4–8 barg mixes with the cold LNG in the recondenser — the compressed BOG condenses back to liquid LNG; the combined LNG stream exits the recondenser bottom at 8–12 barg for delivery to the sendout vaporizers). The recondenser is the critical interface between the vapor-phase BOG management system and the liquid-phase LNG sendout system: its liquid level must be maintained at 40–70% (low liquid cushion means BOG vapor can pass uncondensed into the high-pressure sendout system; too high means liquid slug carryover to the BOG compressor discharge — compressor mechanical damage). Liquid level instrumentation at the recondenser: Yokogawa EJA110A differential pressure level transmitter; Emerson Rosemount 3051 DP level; ABB 266 DP level (two independent level instruments per recondenser for high availability; low-low alarm at 15%; BOG compressor trip at 8% level).

Major US LNG terminals: Sabine Pass LNG (Cameron Parish LA; Cheniere Energy; six liquefaction trains × 5 MTPA = 30 MTPA export capacity; twelve LNG storage tanks × 160,000 m³ = 1,920,000 m³ total storage = ≈880,000 tonnes LNG = 88× OSHA PSM methane TQ of 10,000 lbs per LNG kg — the site holds approximately 880 million kg LNG = approximately 2×10³ times the PSM TQ in storage alone); Cove Point LNG (Lusby MD; Dominion Energy; 5.75 MTPA export; four 155,000 m³ tanks); Cameron LNG (Hackberry LA; Sempra; 12 MTPA; three liquefaction trains; EPA RMP covered — methane TQ 10,000 lbs); Corpus Christi LNG TX (Cheniere; 15 MTPA); Golden Pass LNG (Sabine Pass TX; Qatar Energy + ExxonMobil). European regasification: Gate LNG Rotterdam Netherlands (12 MTPA; three LNG tanks; connected to Gasunie national gas grid); South Hook LNG Milford Haven Wales (QatarGas/ExxonMobil; 21 MTPA regasification; three 185,000 m³ LNG tanks). Incident reference: Skikda Algeria 2004 LNG liquefaction explosion (gas leak in steam boiler system adjacent to liquefaction; 27 killed; NFPA 59A revisions post-Skikda tightened vapor detection and emergency shutoff requirements).

TL;DR

LNG terminal BOG recondenser AI — recondenser liquid level display AI, LNG sendout pump discharge pressure display AI, tank boil-off rate display AI — processes rendered monitoring display images at cryogenic BOG management boundaries where adversarial pixel injection can drain the BOG recondenser to zero in 8–12 minutes (77th upward attack). OSHA PSM methane TQ 10,000 lbs; LEL 5% UEL 15%; NFPA 59A; EPA RMP at all US LNG terminals. Glyphward threshold 28 for LNG terminal BOG recondenser AI: the LNG sendout system operates at 8–12 barg with cryogenic LNG at −162°C — sudden introduction of warm BOG vapor into the sendout vaporizer tubes causes rapid cryogenic-to-ambient temperature cycling that initiates fatigue cracking in stainless steel vaporizer tubes; methane LEL 5% UEL 15%; LNG vapor cloud at a large terminal represents the largest unconfined flammable vapor inventory of any single chemical facility type in the Glyphward portfolio; Sabine Pass Cove Point Cameron LNG. Free tier — 10 scans/day, no card required.

Three adversarial injection surfaces in LNG terminal BOG recondenser AI

1. BOG recondenser liquid level display AI (Yokogawa EJA110A differential pressure level transmitter recondenser display AI / Emerson Rosemount 3051 DP level recondenser display AI / ABB 266 DP level recondenser SCADA display AI / Endress+Hauser FMB70 level transmitter recondenser display AI / Siemens SITRANS P DS III DP level recondenser SCADA display AI — rendered SCADA BOG recondenser liquid level display AI classifying the LNG liquid level in the recondenser vessel at 40–70% against the design operating range; low-low alarm at 15%; BOG compressor trip at 8% level — 77th upward attack; FIRST LNG terminal attack; FIRST BOG recondenser attack; FIRST cryogenic methane storage attack; FIRST LNG boil-off gas AI attack)

The BOG recondenser liquid level is the single most critical BOG management parameter at any LNG terminal: it represents the liquid LNG cushion that allows the compressed BOG to dissolve and condense back into liquid before entering the high-pressure LNG sendout system. At design level 40–70%: compressed BOG (at 4–8 barg, −80 to −100°C after compression) contacts liquid LNG (at 8–12 barg, −140°C) in the recondenser; mass transfer of methane from gas phase to liquid phase occurs at the gas-liquid interface (the compressed BOG is at supercritical or near-critical conditions — above the methane critical pressure 45.99 bar but at sub-critical temperature −100°C vs Tc −82.6°C — at 4–8 barg and −80 to −100°C, methane is a dense gas approaching liquid density); the recondenser provides the contact time and cold LNG surface area for condensation. If the recondenser liquid level falls to 0% (empty): the compressed BOG from the BOG compressors passes uncondensed through the recondenser and enters the LNG sendout header at the BOG compressor discharge temperature (−80 to −100°C — much warmer than the sendout LNG at −162°C). The sendout pipeline (typically 8–16” ASME Class 600 stainless steel; ASTM A312 TP304L or TP316L; cryogenic rated to −196°C; thermally insulated) connects the recondenser to the sendout vaporizers (typically open-rack seawater vaporizers: ORV; or submerged combustion vaporizers: SCV; or ambient air vaporizers: AAV — each vaporizer has 1,000–3,000 aluminum alloy tubes through which LNG flows at −162°C on the inside and seawater/ambient air warms the outside from −162°C to +5°C).

The adversarial upward pixel shift applies a ±8 DN manipulation to the rendered BOG recondenser level display: 72% level shown when actual 8% (at or near the compressor trip setpoint). The AI classification: “recondenser level at 72% — above the 70% high alarm; risk of liquid carryover to BOG compressor discharge; reduce LNG sendout flow to recondenser inlet to lower level to 50–60% operating point.” The AI corrective action: the LNG sendout to recondenser inlet control valve (which controls the flow of high-pressure LNG from the sendout pump discharge to the recondenser inlet) is throttled from 65% to 26% open — reducing LNG flow to the recondenser from 180 t/hr to 72 t/hr. The actual recondenser level (8% — already near the BOG compressor trip setpoint) with reduced LNG inlet (72 t/hr) and continued BOG compressor delivery (25 t/hr BOG to the recondenser): the liquid inventory in the recondenser (vessel diameter 2.0 m; height 8.0 m; at 8% level: 0.08 × π × (1.0)² × 8.0 = 2.0 m³ = 0.94 t LNG) is fully vaporized by the incoming BOG heat load within 8–12 minutes (BOG sensible heat input to liquid LNG: 25 t/hr × [Cp × ΔT = 2.5 kJ/kg·K × 60K = 150 kJ/kg] = 1,042 kW vs the 0.94 t LNG × 509 kJ/kg heat of vaporization = 479 MJ → rundown time 479/1,042 = 8.1 minutes). After the recondenser empties: BOG vapor flows uncondensed at −80°C through the recondenser and into the high-pressure sendout system. The sendout vaporizer inlet temperature spikes from −140°C (design LNG temperature) to −80°C (BOG vapor temperature) — a 60°C sudden warm excursion in the cryogenic sendout vaporizer feed. The aluminum alloy vaporizer tubes (AA6063-T5; cryogenic thermal coefficient of expansion 20×10⁻⁶/K; at 60°C rapid temperature rise: thermal expansion ≈1.2 mm/m per tube length — in an 8-m vaporizer tube: 9.6 mm thermal expansion in 3–5 minutes) experience thermal shock at welded joints (tube-to-header connections; 316L SS header with AA6063-T5 tube — bi-metallic joint with ΔCTE of 7×10⁻⁶/K; shear stress at weld: σ = E × ΔCTE × ΔT × restraint factor = 70 GPa × 7×10⁻⁶ × 60 × 0.5 ≈ 14.7 MPa — approaching the fatigue endurance limit of aluminum alloy welds in cryogenic service). This is the 77th upward attackFIRST LNG terminal attack; FIRST BOG recondenser attack; FIRST cryogenic methane storage attack; FIRST LNG boil-off gas AI attack. Free tier — 10 scans/day, no card required.

2. LNG sendout pump discharge pressure display AI (Yokogawa EJA110A in-tank pump discharge pressure display AI / Emerson Rosemount 3051 pump discharge pressure SCADA display AI / Endress+Hauser Cerabar PMC71 submersible pump discharge pressure display AI / ABB 266 high-pressure pump discharge SCADA display AI / Honeywell STD820 sendout pump discharge pressure display AI — rendered SCADA LNG sendout in-tank submerged motor pump discharge pressure display AI classifying the pump discharge pressure at 8–14 barg against the design operating range; pump minimum flow trip at 25% design flow)

LNG in-tank submerged motor pumps (Nikkiso CLBV-type cryogenic submerged pump; Ebara SPA-LC series; Atlas Copco LNG-SBM-type) are installed inside the LNG storage tank on a pump column extending from the tank base through the LNG liquid to the pump discharge riser. The motor is submerged in LNG at −162°C — the LNG itself provides motor cooling (the motor winding insulation is designed for continuous LNG immersion; motor cooling depends on LNG flow through the motor cavity at design flow rate; at near-zero flow, the LNG in the motor cavity cannot remove motor copper losses — typically 10–30 kW per pump). Pump discharge pressure at design: 8–14 barg (depending on the terminal configuration, terminal elevation, and vaporizer operating pressure). The upward adversarial pixel attack: 13.8 barg pump discharge shown when actual 6.2 barg. The AI classification: “sendout pump discharge pressure at 13.8 barg — above the 13.0 barg high-high alarm; throttle the sendout flow control valve to 40% closed to reduce pump discharge pressure and protect the pump and downstream vaporizer system from overpressure.”

The AI corrective action throttles the sendout flow control valve from 75% to 45% open — reducing LNG sendout flow from 800 t/hr to 480 t/hr. The actual pump discharge pressure (6.2 barg) with reduced flow: at 480 t/hr flow vs the design 800 t/hr, the Nikkiso pump operating point moves back along its pump curve toward higher head and lower flow — pump head at 480 t/hr: approximately 8.1 barg (from the Nikkiso H-Q curve at this operating condition). The critical pump concern: at 480 t/hr (60% of design flow), the pump approaches the minimum flow requirement (typically 25–35% of design flow — approximately 200–280 t/hr; the minimum flow recirculation valve opens automatically below this threshold to prevent pump surge and motor overheating). At 480 t/hr, the pump is still above minimum flow, but if the AI takes a second corrective action (e.g., the displayed pressure remains 13.8 barg even after throttling the valve — because the ±8 DN adversarial perturbation is persistent — and the AI recommends further throttling to 20% valve opening): LNG flow falls to approximately 200 t/hr — at the minimum flow threshold. If the minimum flow recirculation valve does not open promptly (valve actuator response time 15–30 seconds; control loop response time 5–10 seconds), the Nikkiso submerged motor sees zero net flow through the motor cavity for 20–40 seconds: motor cavity LNG heats from −162°C to −140–−120°C (10–30 kW motor losses; motor cavity volume 5–10 liters; LNG Cp 3.5 kJ/kg·K; density 450 kg/m³; heat-up rate: 30 kW / (0.0075 m³ × 450 kg/m³ × 3.5 kJ/kg·K) ≈ 2.5°C/s → reaches boiling point −162°C at LNG head in 8 seconds with zero flow). Motor LNG flash to vapor within motor cavity → gas lock in motor → motor stall → high current draw → motor protection relay trips pump → sudden loss of sendout pump capacity → terminal sendout pressure drops → downstream gas network pressure transient. Free tier — 10 scans/day, no card required.

3. Tank boil-off rate display AI (Yokogawa CENTUM CS 3000 LNG tank BOG flowmeter trend display AI / Emerson DeltaV tank pressure-rate-of-rise BOG calculation display AI / Honeywell Experion PKS BOG generation rate display AI / ABB 800xA LNG tank ullage flowmeter display AI / Endress+Hauser Proline t-mass 65F thermal mass flowmeter BOG rate display AI — rendered SCADA LNG tank boil-off rate display AI classifying the inferred BOG generation rate in % tank volume per day from ullage flow measurement and tank pressure rise rate against the design range of 0.05–0.10% vol/day with high alarm at 0.18% vol/day triggering additional BOG compressor start)

The LNG tank BOG generation rate is measured indirectly by the DCS AI from: (1) the ullage gas flowmeter (thermal mass flowmeter at tank vapor outlet, measuring the actual mass flow of methane vapor leaving the tank top to the BOG compressor suction; Endress+Hauser t-mass 65F or equivalent; accuracy ±1.5% at design flow); and (2) the tank pressure-rate-of-rise (dP/dt measurement from the tank pressure transmitter; Yokogawa EJA110A; tank pressure design: 0.02–0.05 barg; rate of rise calculation: if pressure rises above 0.05 barg/hr, insufficient BOG withdrawal → tank pressure trending toward POSV setpoint 0.25 barg). The BOG compressor dispatch logic: at 0.05–0.10% vol/day BOG generation (normal), two BOG compressors operate; at >0.15% vol/day (loading operations or high ambient temperature), the third BOG compressor is started. The upward adversarial attack: 0.38% vol/day BOG rate shown when actual 0.11% vol/day — the AI classification “BOG generation rate 0.38% vol/day — far exceeding the 0.18% vol/day high alarm threshold and the design maximum 0.10% vol/day; possible tank insulation failure or unusual heat ingress; immediately start third BOG compressor and prepare fourth compressor for start.”

The AI corrective action starts the third BOG compressor (Burckhardt Compression reciprocating BOG compressor; 4-cylinder, double-acting; capacity 22,000 Nm³/hr; suction conditions: 0.02 barg, −162°C methane; discharge: 6.5 barg, −80°C). With three BOG compressors running but only two needed at the actual BOG rate of 0.11% vol/day: total BOG compressor suction capacity (3 × 22,000 Nm³/hr = 66,000 Nm³/hr) exceeds actual BOG generation (0.11% × 160,000 m³ tank × LNG density 450 kg/m³ → 79,200 kg/day BOG ‷ (LNG density to gas: ×600) = 47,520,000 Nm³/day / 24 hr = 1,980,000 Nm³/hr actual gas — wait, the BOG as gas volume at 0.11% of 160,000 m³ LIQUID LNG: 0.0011 × 160,000 m³ × 450 kg/m³ / (16 kg/mol × 1000/22.4 Nm³/m³) ≈ 36,900 Nm³/day ÷ 24 = 1,538 Nm³/hr). Three compressors at capacity 66,000 Nm³/hr vs actual BOG 1,538 Nm³/hr: the three compressors draw down the tank vapor space pressure below 0.02 barg → BOG compressor suction pressure drops to near-vacuum → compressor operates at suction pressure below design minimum (typically 0.005 barg minimum suction pressure for reciprocating BOG compressor): compressor surge / compressor cylinder rod reversal → compressor trip on high discharge temperature (suction at near-vacuum and discharge at 6.5 barg creates an extreme compression ratio: (6.5+1)/(0.005+1) ≈ 7.5 vs design 7.0; but at very low suction pressure, the mass flow per stroke is insufficient to cool the compressor valves → valve temperature rises above design → valve failure → compressor trip). All three BOG compressors trip in sequence → total loss of BOG compression capacity → LNG tank vapor space pressure rises (no withdrawal; BOG continues to generate from heat ingress) → primary POSV opens at 0.25 barg → methane vapor discharged from LNG tank at the marine terminal → if flare is offline or capacity insufficient: open-air methane discharge. Free tier — 10 scans/day, no card required.

Integration: LNG terminal BOG recondenser AI with Glyphward pre-scan gate

Glyphward integrates as a pre-scan gate at every rendered-image ingestion boundary in the LNG terminal BOG management AI pipeline — before the BOG recondenser level AI processes rendered SCADA DP level display images, before the LNG sendout pump discharge pressure AI processes rendered SCADA pressure display images, and before the tank BOG generation rate AI processes rendered SCADA flowmeter/trend display images. Threshold 28 for LNG terminal BOG recondenser AI reflects: OSHA PSM methane/natural gas TQ 10,000 lbs (Sabine Pass holds approximately 2×10³× the PSM TQ in storage alone); LNG vapor cloud explosion mass >1 million kg at large export terminals; cryogenic-to-ambient temperature cycling fatigue at sendout vaporizer tubes; marine/coastal dispersion environment (LNG terminal siting NFPA 59A exclusion zones); NFPA 59A and EPA RMP listed at all US LNG terminals; Gate LNG Rotterdam Netherlands and South Hook LNG Milford Haven Wales (European regasification infrastructure).

import asyncio, base64, hashlib
from datetime import datetime, timezone
from enum import StrEnum, auto
from typing import Any
import httpx

GLYPHWARD_API = "https://api.glyphward.com/v1/scan"
GLYPHWARD_KEY = "gw_prod_***"

# LNG terminal BOG management AI contexts: threshold 28
# OSHA PSM methane/natural gas TQ 10,000 lbs; LEL 5% UEL 15%.
# 77th upward attack: 72% recondenser level shown when 8% actual
# -> AI reduces LNG sendout -> recondenser empties in 8-12 min
# -> uncondensed BOG enters sendout vaporizer -> tube fatigue crack.
LNG_THRESHOLD = 28

class LNGContext(StrEnum):
    BOG_RECONDENSER_LEVEL            = auto()  # Recondenser LNG level % (77th upward attack)
    SENDOUT_PUMP_DISCHARGE_PRESSURE  = auto()  # In-tank pump discharge pressure barg
    TANK_BOILOFF_RATE                = auto()  # BOG generation rate % vol/day (0.05-0.10 design)

async def scan_lng_frame(
    frame_b64: str,
    context: LNGContext,
    terminal_id: str,
    instrument_tag: str,
) -> dict[str, Any]:
    payload = {
        "image_b64": frame_b64,
        "context": context,
        "terminal_id": terminal_id,
        "instrument_tag": instrument_tag,
        "scan_ts": datetime.now(timezone.utc).isoformat(),
        "image_hash": hashlib.sha256(base64.b64decode(frame_b64)).hexdigest(),
    }
    async with httpx.AsyncClient(timeout=4.0) as client:
        r = await client.post(
            GLYPHWARD_API,
            json=payload,
            headers={"X-Glyphward-Key": GLYPHWARD_KEY},
        )
        r.raise_for_status()
        return r.json()

async def pre_scan_gate_lng(
    frame_b64: str,
    context: LNGContext,
    terminal_id: str,
    instrument_tag: str,
) -> None:
    result = await scan_lng_frame(frame_b64, context, terminal_id, instrument_tag)
    if result["adversarial_score"] >= LNG_THRESHOLD:
        raise AdversarialLNGImageError(
            f"Adversarial injection detected in {context} (score {result['adversarial_score']}) "
            f"at terminal {terminal_id} instrument {instrument_tag}. "
            "Frame withheld from LNG terminal BOG management AI pipeline."
        )

class AdversarialLNGImageError(RuntimeError):
    pass

Frequently asked questions

What is the LNG “rollover” phenomenon, and how does it create a second-order BOG attack surface distinct from the recondenser level AI attack described here?

LNG rollover is a thermodynamically distinct hazard from normal BOG generation, and it creates an AI attack surface that operates on a timescale of hours rather than the 8–12 minutes of the recondenser level attack in Surface 1. Rollover occurs when two separate stratified layers of LNG with different densities exist in the same storage tank — typically created by: (a) filling a tank from the top with LNG of different composition or temperature than the existing tank contents (newly delivered LNG from an LNG tanker ship may have slightly different methane/ethane/propane ratios or different temperatures, giving a different density); (b) differential weathering (the upper layer loses lighter methane preferentially via BOG evaporation over weeks — becoming heavier and denser; the lower layer, insulated from surface evaporation, retains its original composition). The two stratified layers reach a metastable condition: top layer (lighter, warmer, more recently delivered) sits above the bottom layer (heavier, denser, more weathered). Over time, the bottom layer absorbs heat from the tank floor and wall heat ingress (0.1–0.3 W/m²), raising its temperature and causing it to become superheated relative to the ambient pressure boiling point. The thermal energy builds up in the lower stratum (it cannot lose heat upward because the temperature gradient is such that the upper stratum is slightly warmer, not colder — the inversion is density-based, not temperature-based). When the density differential decreases sufficiently (due to bottom layer heating and top layer weathering), a sudden convective overturn occurs: the heavier bottom layer rises while the lighter top layer falls — this is rollover. The superheated lower stratum (now exposed to the lower vapor pressure at the tank surface) rapidly flashes: the instantaneous BOG generation rate during rollover can be 5–50× the normal heat-ingress BOG rate for 15–120 minutes, generating 50,000–200,000 kg/hr of methane vapor (vs normal 1,000–5,000 kg/hr). The BOG compressor system is completely overwhelmed; tank pressure rises at 0.02–0.05 barg/min; POSV opens within minutes; large-scale methane discharge.

The AI attack surface in rollover detection: rollover is predicted by monitoring the LNG density profile in the tank (typically measured by 3–8 Yokogawa EJA110A or Emerson Rosemount 3051 differential pressure level transmitters at different elevations — the density at each elevation is inferred from the DP reading — allowing a density profile: if the density increases with depth rather than being uniform, stratification is present and rollover risk exists). A specialized LNG density stratification AI processes rendered trend plots from these multi-elevation DP level instruments to classify the risk of rollover. The adversarial upward attack on the density stratification display: upper stratum density 430 kg/m³ shown when actual 430 kg/m³ (accurate) — but lower stratum density 462 kg/m³ shown as 438 kg/m³ (downward attack on the lower stratum — note this is a downward pixel shift on the lower-stratum density display, not an upward attack). The density differential (462–430 = 32 kg/m³ actual, indicating significant stratification and imminent rollover risk) is shown as (438–430 = 8 kg/m³ — within normal bounds, not triggering the rollover risk alarm). The AI classification: “LNG density stratification within normal bounds (8 kg/m³ differential); no rollover risk; no circulation mixing required.” Actual: 32 kg/m³ stratification is above the typical rollover alert threshold of 20–25 kg/m³ density differential used in SIGTTO (Society of International Gas Tanker and Terminal Operators) recommended practice. Without the mixing action (circulation of LNG between upper and lower strata via recirculation pump to homogenize composition and temperature before the spontaneous rollover occurs), the rollover proceeds in 4–18 hours, generating the sudden BOG surge that overwhelms all three BOG compressors simultaneously. Note: this rollover attack uses a downward pixel shift on the lower-stratum density display, not an upward attack — illustrating that LNG terminal monitoring has both upward and downward adversarial attack surfaces in the density stratification AI. Glyphward threshold for LNG density stratification rollover detection AI: 32 (higher than the BOG recondenser level threshold of 28 because rollover has a longer warning time and SIGTTO/GIIGNL guidance explicitly addresses stratification monitoring — the independent safeguard of composition sampling and density calculation from tank strapping tables provides some independent verification capability absent in the recondenser level attack scenario).

How does the Sabine Pass LNG export terminal’s six-train liquefaction configuration change the BOG recondenser AI attack surface relative to a single-train import regasification terminal?

Sabine Pass LNG (Cameron Parish LA; Cheniere Energy; commenced LNG exports February 2016; the first LNG export terminal in the contiguous United States in the post-1973 era) operates a fundamentally different LNG process configuration from import/regasification terminals such as Everett MA (Distrigas/GDF Suez) or Cove Point MD (in import mode prior to 2018). The distinction matters for the BOG recondenser AI attack surface in several ways. At a liquefaction export terminal (Sabine Pass, Cameron, Corpus Christi), the LNG process flow is: natural gas pipeline feed → feed gas purification (CO₂ removal, H₂S removal, mercury removal, dehydration) → liquefaction (propane pre-cooling + mixed refrigerant main cooling cycle; Air Products C3MR process; or Shell DMR; or Linde LP process — Sabine Pass uses Air Products AP-C3MR with six 5 MTPA trains each using a C₂ propane pre-cooler and a mixed refrigerant (MR: methane + ethylene + propane + N₂) main cooling loop) → LNG at −162°C → LNG storage → LNG loading arms → LNG tanker ship export. The BOG at a liquefaction terminal originates from: (1) the same heat-ingress BOG from storage tanks (identical to import terminals); (2) vapor displacement during LNG tanker loading (LNG cargo is loaded from the terminal storage into the ship’s cargo tanks; the ship’s vapor return line brings vapor back to the terminal for compression); (3) warm-up of the liquefaction train cold boxes and heat exchangers during maintenance shutdowns (when a liquefaction train is taken offline, the cold inventory vaporizes). The Sabine Pass BOG handling capacity is designed for all six trains operating simultaneously plus tanker loading operations: 6 × dedicated BOG compressors per train + common BOG header + recondenser sized for worst-case loading scenario (simultaneously loading two LNG tankers: LNG cargo transfer rate 8,000–12,000 m³/hr per arm × two loading arms × two ships = 32,000–48,000 m³/hr LNG transfer → vapor displacement BOG rate 200–400 t/hr during peak loading).

The BOG recondenser AI attack surface at Sabine Pass is broader than at a single-train import terminal in several respects. First, the LNG sendout at Sabine Pass is a ship loading operation (not a natural gas grid sendout): the LNG is transferred from shore storage to LNG ship cargo tanks via loading arms at a rate controlled by the ship’s cargo pump system (typically 8–14 bar discharge from the ship cargo loading arm). The equivalent of the “sendout vaporizer” at a regasification terminal is the LNG tanker loading arm at Sabine Pass — an attack on the BOG recondenser level at Sabine Pass during tanker loading could cause uncondensed BOG vapor to enter the loading arm vapor space, potentially causing cavitation in the loading arm flow — which at 8–14 bar operating pressure can generate cavitation damage to loading arm swivel joints and expansion compensators. Second, the scale of the BOG recondenser at Sabine Pass is much larger: six liquefaction trains each produce BOG during train cool-down/warm-up transitions (typical BOG during a train cool-down from ambient to −162°C: 50,000–100,000 Nm³/hr for 8–16 hours — a much larger BOG source than heat-ingress alone). The BOG compressor system at Sabine Pass is designed for this peak demand; a capacity attack that trips all BOG compressors (Surface 3 scenario) during a train transition event at Sabine Pass has a larger consequence than at a single-train import terminal: the six trains × BOG heat exchanger inventory (MCHE main cryogenic heat exchanger; each containing approximately 500–1,000 m³ of aluminum plate-fin cold box inventory at −162°C to −50°C) all release BOG simultaneously if the POSV lifts on the main cold boxes due to loss of BOG compression. Glyphward threshold for Sabine Pass BOG recondenser AI: 28 (same as single-train terminals — the scale is larger but the fundamental monitoring parameter and attack mechanism are identical; the larger consequence at Sabine Pass is captured by the PSM inventory being 880×10₆ kg LNG vs 43×10₆ kg at a smaller single-train import terminal — a 20× difference in consequence magnitude that does not change the AI threshold, which is set for the process monitoring surface vulnerability not the site inventory).