curl -X POST 'https://developer.kycis.com/DewPoint/PhaseEnvelope' \
  -H 'accept: */*' \
  -H 'X-Api-Key: YOUR_DPCLOUD_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "Pressure": 400,
    "Watercut": 6,
    "Fractions": {
      "N2": 0.18,
      "C1": 83.82,
      "C2": 9,
      "C3": 5,
      "i-C4": 2
    }
  }'

const res = await fetch(
  "https://developer.kycis.com/DewPoint/PhaseEnvelope",
  {
    method: "POST",
    headers: {
      "accept": "*/*",
      "X-Api-Key": process.env.DPCLOUD_KEY,
      "Content-Type": "application/json"
    },
    body: JSON.stringify({
      Pressure: 400,              // operating P (psig)
      Watercut: 6,                // H2O content (lb/MMcf)
      Fractions: {                // mol %, keys match Swagger schema
        N2: 0.18, C1: 83.82, C2: 9, C3: 5, "i-C4": 2
      }
    })
  }
);
const envelope = await res.json();
// envelope includes dew/bubble curves + critical/cricondenbar/cricondentherm

import os, requests

r = requests.post(
    "https://developer.kycis.com/DewPoint/PhaseEnvelope",
    headers={
        "accept": "*/*",
        "X-Api-Key": os.environ["DPCLOUD_KEY"],
        "Content-Type": "application/json",
    },
    json={
        "Pressure": 400,            # operating P (psig)
        "Watercut": 6,              # H2O content (lb/MMcf)
        "Fractions": {              # mol %, Swagger schema keys
            "N2": 0.18, "C1": 83.82, "C2": 9,
            "C3": 5, "i-C4": 2,
        },
    },
    timeout=5,
)
r.raise_for_status()
envelope = r.json()

DPCloud Live Demo — Interactive SCADA Simulator & Digital Twin for Natural-Gas Pipelines

This page is a free, browser-based SCADA simulator and digital twin of a small natural-gas pipeline, powered by DPCloud — KYCIS’s real-time hydrocarbon dew-point and phase-envelope service for oil-and-gas pipelines and gas-processing plants. No sign-up, no install — just click a node and watch the virtual SCADA react. The widget above models a small natural-gas pipeline with three gas-chromatograph sampling nodes. Click any node to load its full phase envelope — bubble line, dew line, critical point, cricondenbar and cricondentherm — and drag the pressure or temperature sliders to watch the operating point and margin-to-dew-line update live.

The phase envelope is computed with the Peng-Robinson equation of state over a 24-component library (C1 through C6+, H₂O, CO₂, N₂, and common contaminants). In live mode the calculation runs on DPCloud’s REST API; when no API key is configured the widget falls back to a self-contained Peng-Robinson simulator so the demo works offline and nothing is sent upstream. No sign-up, no account, no credit card — it runs entirely in your browser.

The three preset buttons in the top bar — Heavy Composition Shift, Water Breakthrough, and Cold Front — trigger 25-second alarm cascades that deform the envelope, narrow margins, and latch or clear alarms across all three nodes, giving a realistic preview of how DPCloud behaves inside a SCADA or historian.

How to use the demo (30 seconds)

1. Pick a sampling node. Click any of the three GC nodes on the pipeline schematic on the left. Its current pressure, temperature, dew point and margin-to-dew-line load into the phase-envelope chart on the right.
2. Shift the operating point. Drag the pressure (P) or temperature (T) slider below the chart. The operating-point marker moves in real time. When it crosses the dew line the HC alarm fires and the event log records the transition.
3. Trigger an alarm cascade. Click a preset — Heavy Composition Shift, Water Breakthrough, or Cold Front — to watch the envelope deform, margins narrow, and alarms latch or clear across all three nodes over roughly 25 seconds.

What is a SCADA simulator?

A SCADA simulator is a software stand-in for a Supervisory Control and Data Acquisition system — the kind of control-room console that pipeline operators, compressor-station engineers, and gas-plant shift leads use every day. Instead of wiring into real PLCs, RTUs, and telemetry feeds, a SCADA simulator drives a virtual set of tags, alarms, and trend charts from a model, so engineers can design, test, train, and demonstrate without touching production.

The DPCloud demo on this page is a browser-based SCADA simulator: the HMI chrome, the three gas-chromatograph sampling nodes, the operating-point set-points, the alarm banner, and the event log all behave the way they would on a real SCADA client. The difference is that every phase-envelope, cricondenbar, cricondentherm, and margin-to-dew-point value is computed live by DPCloud’s Peng-Robinson equation of state rather than streamed from field instruments. That means you can model "what happens to our dew-point margin if the inlet composition swings 6 mol % heavier?" in seconds, instead of waiting for it to happen on a real gas day.

Digital twin vs. SCADA simulator — what’s the difference?

The terms overlap but aren’t identical. A digital twin is a continuously-updated virtual replica of a specific physical asset — tied to that asset’s real-time data, history, and geometry. A SCADA simulator is a broader category: any software that emulates SCADA behaviour, whether the underlying model is generic, asset-specific, or purely synthetic.

DPCloud is designed to be both. On this page, the widget runs as a generic digital twin of a three-node natural-gas pipeline — useful for training, demos, and operator-onboarding. When DPCloud is deployed against a customer’s actual pipeline, it becomes an asset-specific digital twin: it consumes the real GC composition stream, real pressure and temperature telemetry, and writes the phase-envelope, dew-point-margin, and alarm tags back into the customer’s existing SCADA historian. Same math, same UI pattern — just wired to live field data instead of a simulated one.

If you’re evaluating a virtual SCADA or digital-twin solution for pipeline gas quality, this demo gives you an honest preview of the behaviour before any integration work begins. For the underlying PVT composition analysis that feeds the model, see GC Reader.

Why run a browser-based SCADA simulation?

Most SCADA simulators are desktop applications that require a licence, a Windows VM, and a day of setup before anyone can click a button. That friction is the reason a lot of evaluation cycles stall. A browser-based SCADA simulation removes every one of those gates:

• No install. The entire demo — schematic, phase envelope, event log, alarm cascade — runs inside the tab. Close the tab, it’s gone.
• No account. No email capture, no trial gate, no credit card. Useful for engineers who can’t create vendor accounts from a corporate laptop.
• No back-end dependency on our side. If the DPCloud REST API is unreachable (airgapped laptop, firewall, offline trip), the widget transparently falls back to an in-browser Peng-Robinson simulator so the demo still works.
• Shareable. You can send the URL to a colleague, a procurement reviewer, or a plant manager and they see exactly what you saw. No screenshot compression, no "works on my machine."

For training and tabletop exercises — "walk me through what happens when Node 2 starts pulling liquids" — a virtual SCADA in the browser is dramatically faster than spinning up a real simulator VM.

Connecting DPCloud to your real SCADA system

The demo is the shop window. The production deployment is what it’s advertising. DPCloud exposes the same phase-envelope and real-time dew-point monitoring through a documented REST API so it fits whatever is already in your control room:

• REST API (JSON over HTTPS). The primary integration path. Documented at developer.kycis.com/swagger. Endpoints cover phase-envelope construction, hydrocarbon and water dew-point, quality lines, and BIP management.
• On-premises Windows Service. Installs directly on Windows Server alongside existing SCADA stacks. Designed for isolated-network environments and legacy operations infrastructure; can run fully offline.
• Container deployment. Distributed as a container image for managed API workflows. Commonly deployed on Azure Container Apps; other standard container platforms can be discussed based on customer architecture.

The integration work is typically 1–2 days with a KYCIS engineer on a screen-share. If you want to scope it against your specific SCADA (GE iFIX, AVEVA System Platform, Ignition, Siemens WinCC, Emerson DeltaV, custom) contact the team or email api@kycis.com for an API key.

Related

DPCloud product page  ·  REST API & Swagger  ·  GC Reader — composition analysis  ·  Contact us for an API key

Frequently asked questions

Is the DPCloud live demo free to use?

Yes. The demo runs entirely in your browser with no account, no credit card, and no data collection beyond privacy-preserving anonymous analytics. When the DPCloud API key is not configured, the demo uses a self-contained Peng-Robinson simulator so no upstream API calls are made.

What does the demo actually simulate?

A small natural-gas pipeline with three gas-chromatograph sampling nodes. For each node it computes the phase envelope (bubble line, dew line, critical point, cricondenbar, cricondentherm) using the Peng-Robinson equation of state, and tracks margin-to-dew-line as you change pressure, temperature or composition. Preset scenarios drive heavy composition shifts, water breakthrough and cold-front events.

How do I integrate DPCloud with my real SCADA or historian?

DPCloud exposes a REST API for integration with SCADA systems, historians, and other operational tools. Two deployment options are available: an on-premises Windows Service for environments alongside existing SCADA stacks (including offline / isolated networks), or a container-based deployment commonly run on Azure Container Apps for managed API workflows. Click the Integrate with your SCADA button in the demo, or email api@kycis.com for an API key and the integration guide.

Is this a real SCADA simulator or just a UI mockup?

It’s a real simulator. Every value you see — phase envelope, dew-point margin, cricondenbar, cricondentherm — is computed live by DPCloud’s Peng-Robinson equation of state across a 24-component library. The HMI chrome (alarm banner, event log, set-points, nodes) behaves like a SCADA client: alarms latch, set-points drive re-calculations, and the event log retains the last 50 entries. If the hosted API is unreachable the widget falls back to an in-browser Peng-Robinson simulator so the math stays consistent.

Can I use this as a digital twin for operator training?

Yes. The demo is structured as a three-node generic digital twin, which is enough to run tabletop exercises around composition drift, water breakthrough, and cold-front scenarios (the four presets in the top bar). For site-specific training — your actual pipeline geometry, your actual GC catalogue, your actual historian tags — the same widget can be fronted onto a customer-specific DPCloud instance. Ask us for a scoped training deployment.

What does DPCloud calculate?

Three primary outputs from the Peng-Robinson EOS: (1) hydrocarbon and water dew-point temperatures and pressures, (2) full phase-envelope construction for the gas mixture, and (3) quality lines based on user-specified GPM (gallons of NGL per Mcf of gas) — contours inside the two-phase region that map to specific liquid yields.

What gas mixtures does DPCloud support?

24 standard pipeline gas components by default: hydrocarbons from methane (C1) through n-tetradecane (nC14), plus H₂, N₂, CO₂, H₂S, He, and Ar. The component set is intentionally curated because the engine is purpose-built for pipeline SCADA workflows. For typical pipeline-quality natural gas, these 24 standard components cover the composition range normally required for operational HCDP, water-dew-point, and phase-envelope monitoring. Compositions are user-configurable, and the component set itself can be extended for projects that need species outside the standard 24.

What is the calculation latency?

The core Peng-Robinson EOS solve for a single dew-point query completes in under 10 ms. End-to-end response time depends on calculation type, gas composition, and deployment mode; phase-envelope construction and quality-line generation involve iterative solves and take longer than a single point. Local on-premises deployment avoids internet round-trip latency.

Talk to engineering

Run a real DPCloud calculation against your pipeline composition, scope an integration against your existing SCADA or historian, or request an API key for the live demo: