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Why Rejig Digital ?

Deep domain expertise + digital transformation: Industrial IoT execution knowledge fused with large-scale production AI to modernize operations and unlock real-world efficiency.

Outcome-first playbooks: Challenging safety and compliance constraints, operator-in-the-loop.

Fast value: Post GO-LIVE 8–12 week waves targeting margin enhancement, reliability improvement, and effective cost KPIs.

AI INITIATIVES ACROESS THE REFINERY CHAIN

The Outcome Horizon

USE CASE 1

TAR Scope, cost optimization & cycle enhancement

Shorten shutdowns, freeze scope, evaluate craft productivity — and safely extend run length between TARs with predictive analysis & AI based risk models.

Executive Summary

Turnarounds lock significant value. Our Digital Twin of permits, critical tasks, material management and SIMOPS—paired with proposed duration and scope aligned with RBI references & catalyst life—predicts growth work, resolves conflicts and re-sequences safely.

Between TARs, predictors for fouling, corrosion and catalyst life justify cycle extension windows aligned with market and maintenance opportunities.

Business Challenge & Contex

Late scope growth and low workpack readiness extend critical path and cost.

SIMOPS conflicts and constrained resources (cranes / NDE / vendors) cause ripple delays.

Degradation uncertainty forces conservative cadence; missed market windows.

Ambiguous TAR interval defining parameters.

The Outcome Horizon

Critical path identification
& SIMOPS activities
10–15%
≤ 15%
Emerging / Discovery job elimination
Wrench time
(permits / scaff / crane)
10–20%
20–30%
Run length extension

Data Integration

Primavera/MSP (baseline, updates), CMMS WOs/BOM, vendor calendars, permit/isolation systems.

Tags/historian for critical assets; LIMS for QA gates post‑TAR; warehouse for kitting & staging.

SSO/RBAC; approvals and audit trail; constraint map (HARD vs SOFT).

USE CASE 2

Integrated Value Chain

(UpStream → MidStream → DoWnStream)

Orchestrate tanks, blends, units and logistics with a live Value Chain Digital Twin and constraint‑aware optimizers.

Executive Summary

A unified Digital Twin mirrors terminal‑tank‑unit‑pipeline networks and aligns blending, tank cycles, unit severity and dispatch. AI advisors recommend clean cutovers, blending targets and slotting plans within hard safety/quality constraints, closing the loop from plan to execution.

Business Challenge & Contex

Disjointed data across terminals, pipelines, tanks and units causes decisions lags.

Interfaces and estimated time of transit uncertainty drive contamination, downgrades and demurrage.

Product specifications and assays risk reputation; static plans diverge from reality.

Data Integration

SCADA/terminal systems, movement ledger, strapping tables, custody tickets / prover.

LIMS/analyzers (bias logs, drift), ERP/TMS, pricing feeds, LP exports (planning).

APC/MPC envelopes; interlocks; setpoint APIs; SSO/RBAC and audit trail.

USE CASE 3

Lean cost management

Reduce energy, hydrogen, steam, chemicals and giveaway with a Utilities & Economics Digital Twin and AI optimizers.

Executive Summary

Variable costs dominate day‑to‑day margin. A digital twin of steam/power/H₂ and quality ensures optimized values, routing and schedules minimize $/bbl without sacrificing throughput or specs—while remaining within hard safety envelopes.

Business Challenge & Context

Dynamic operation ignores network interactions and intraday changes.

Analyzer bias and assay drift drive costly giveaway and additives overspend.

Inability to leverage economic inflection points by calendar-based cleaning and dosing.

Poor visibility on tracking of variable cost aligned with business plan.

Business Solution

Utilities & energy control room with optimum operations to minimize loss accounting.

Standard furnace/heater efficiency program; Exchanger fouling management playbooks.

Overall heat integration and effective energy solutions

Quality governance to align specs, analyzer health and economics.

AI Solution

Steam/Power/H₂ digital twin with reliability penalties; optimal production & integrated live model.
Heater/boiler excess-O₂ targeting; efficiency soft sensors; coking risk guards.
Heat-exchanger duty gap modeling and NPV-based cleaning optimizer.
Probabilistic spec guard for additives injections; dose-response models for chemicals/catalyst.

The Outcome Horizon

↓ 2–5%

Energy intensity (Fouling, firing management and Heat integration)

↓ 10–20%

Common utilities synergy & optimization

↓ 10–20%

Chemicals cost optimization aligned with required process utilization

Data Integration

Utilities tags – PI, SAP (header pressures/flows, stack O₂, fuel comp), H₂ network (purity/pressure).
LIMS/analyzers for critical specs; tariffs/prices; LP exports; contracts/penalties.
APC/MPC constraints historian; CMMS for heater tune/cleaning history; SSO/RBAC.

REJIG DIGITAL

Where Integrity MeetS Intelligence

Experience the next evolution in Asset Integrity and Industrial IoT excellence — an integrated suite of AI-powered solutions designed to enhance reliability, safety, and lifecycle performance across complex industrial operations.

Thermal Vision Hotspot • AI Enabled CP Management • Underground Power Cable Health — engineered AI that prevents failures and reduces O&M.

At‑a‑Glance Value

USE CASE 4

Automated Thermal Anomaly detection Intelligence for Smarter Operations

Executive Summary

Continuous thermal analytics for high/low temperature surfaces and assets (cryogenic, cold boxes, heaters, boilers, Reactors & Regenerators, expanders, Kiln, Electrical Distribution and Transmission Facilities…etc)

Core Capabilities (Thermal)

Camera mesh: fixed + PTZ IR at heater shells, stacks, expander discharge; scheduled UAV scans for tall assets.
AI engine: baseline signature learning, emissivity & weather normalization, refractory degradation patterns; confidence scoring.
Actioning: DCS alarm (rate-of-rise, absolute ΔT), CMMS auto-ticket with location snapshot, SOP checklist and evidence locker.

Dashboard & ChartS (Thermal)

Thermal heatmap with polygon segmentation and hotspot ranks; mini-sparklines per coil/zone.
Trend: ΔT to peer zones and rate-of-rise; severity meter tied to trip limits.
Classification tiles: coking, refractory loss, flare/steam (suppressed) with confidence; action lane (tickets/approvals).

Indicative Metrics

Data & IntegrationS (Thermal)

IR camera feeds (fixed/PTZ/UAV), historian tags (fuel, stack O₂, draft), weather feed.
DCS/ESD alarms; CMMS (SAP PM/Maximo) tickets with images/notes; evidence locker; RBAC audit.

USE CASE 5

AI Enabled Smart CP Management

Executive Summary

Smart nodes perform On/Off PSP and current density reads, transmit securely, and use AI to detect CP loss, stray DC and AC interference. GIS corridor view prioritizes patrols; regulator‑ready audit packs compress compliance effort

Business Challenge & Context

Core Capabilities (TLP CP)

Smart TLP node: On/Off PSP (IR-free) with relay sync; AC/DC current density; GPS geotag; tamper/door sensors.
AI analytics: seasonal correction, stray current & AC pattern mining across TLP clusters; exposure-weighted risk scoring.
Workflow: corridor health map; CMMS auto-tickets with trends/photos; one-click audit pack (time-stamped).

Dashboard & Charts (TLP CP)

Data & Integrations (TLP CP)

Field I/O: TLP terminals, rectifier outputs, bonds/coupons; soil resistivity, coating age.

Edge & Cloud: MQTT/HTTPS with buffering, OTA config; GIS/SCADA/PI historian; CMMS (SAP PM/Maximo); RBAC & signatures.

USE CASE 6

Underground Power Cable Health Monitoring

Executive Summary

Hybrid discrete + distributed sensing with AI to detect hotspots, insulation degradation and third‑party interference. Delivers early warnings and ±10–30 m localization for targeted interventions and reduced SAIDI/SAIFI impact

Core Capabilities (Power Cables)

Discrete sensors at joints/terminations: RTDs/Thermocouples for thermal; HFCT/UHF for PD; switchgear UHF/acoustic.

Distributed fiber: DTS/DTSS for temperature/strain; DAS for digging/vibration; FOCS for load correlation.

AI analytics: PRPD & PD clustering; hotspot progression vs load; DAS signature classifier for digging vs traffic.

Dashboard & Charts (Power Cables)

PRPD pattern panel + PD event timeline with severity clusters; fault zone highlight on map (±10–30 m).

Thermal hotspot slope chart vs load current; dynamic rating tile (allowable load vs ambient).

DAS corridor map with excavation alerts and geofenced permits; risk ladder by feeder.

Data & Integrations (Power Cable)

Sensors: RTD/Thermocouple, HFCT/UHF PD, fiber-optic DTS/DTSS/DAS, FOCS current.

Systems: DMS/OMS, SCADA/PI historian, GIS route overlays, CMMS auto-tickets, SSO/RBAC; evidence locker.

UNIFIED DATA, INTEGRATIONS & GOVERNANCE

Single data spine powering AI initiatives, adhering to safety first, state of art automation and auditable decisions”.

Integration & Control

Setpoint APIs to APC/MPC envelopes; interlocks/trip limits enforced (HARD vs SOFT).

operator-in-the-loop with explanations; autio-manual handoff; approval workflows.

Evidence locker for audits (decisions, constraint,versions,data lineage).

Program Rollout

REJIG DIGITAL

Build • Digitize • Optimize • Realize

Rejig Digital integrates Industrial IoT excellence with AI-first operations, driving the next industrial revolution in Oil & Gas. We help enterprises maximize margins, reduce operational risk, and accelerate sustainability through data-driven transformation.

Platform, Governance & Safety

Our platform ensures reliability, transparency, and compliance across every stage of digital operations.

What You Get?

Rapid value sprints bounded by safety and quality constraints.
Proven assets: Scenario twin, optimizer agents, analyzer governance, and utilities twin.
Flexible implementation: Deploy on-prem or in VPC, fully compatible with RBAC/SSO and open APIs.

REJIG DIGITAL — Delivering AI Outcome

Domain engineering + AI + governance. Every alert with context. Every action auditable. Every dollar of value tracked.