Oil, Gas & Energy
One computed, trusted view of your operation — and agents that act on it.
Digital twins over live IT/OT data, maintenance, spares and procurement — where every number is computed, never inferred.
Solutions
Where we put AI to work
Enterprise digital twin & agentic operations
"Refinery-GPT" over live IT/OT data, with agents for inventory reconciliation and shift handover.
dDriven UNLSH
Intelligent procurement
Demand forecasting, price prediction, order optimisation and supplier ranking.
Quadratyx QIPP
Predictive maintenance & critical spares
Anticipate failures from sensor data and right-size spares on top of SAP.
AI applications
Ten AI applications for Oil, Gas & Energy
Equipment failure early warning and predictive maintenance
Flags rising failure risk on pumps, compressors and rotating equipment so work is planned before breakdowns.
Data needed
Historian/SCADA sensor data, maintenance history
Live demo available
Critical spares and duplicate-parts optimisation
Finds duplicate and obsolete material records on top of SAP, including surplus project material, and right-sizes critical spares.
Data needed
SAP material master, stock levels, consumption history
Live demo available
Production and field optimisation
Recommends set-points and operating windows to lift throughput and yield within safety limits.
Data needed
Process historian, lab results, production plans
Hydropower generation forecasting from water levels
Forecasts generation from reservoir and river levels to plan dispatch and maintenance.
Data needed
Water-level telemetry, weather, generation history
Enterprise digital twin with an "Ask the plant" assistant
A live, computed model of the plant over IT/OT data, with a plain-language assistant for operations questions.
Data needed
Historian, ERP, maintenance and lab systems
dDriven UNLSH
Evidence: Refinery digital twin →Shift-handover and inventory-reconciliation agents
Agents that draft shift handovers and reconcile tank and warehouse inventory for human sign-off.
Data needed
Shift logs, inventory and ERP records
dDriven UNLSH
Evidence: Refinery digital twin →Turnaround and shutdown readiness
Tracks work packs, materials and permits against the turnaround plan and flags gaps early.
Data needed
Turnaround plan, work orders, material reservations
Procurement and crude/material price forecasting
Demand and price forecasting, order optimisation and supplier ranking.
Data needed
ERP purchasing and consumption history, market prices
Quadratyx QIPP
Evidence: Procurement & demand forecasting →HSE, permit and incident document AI
Reads permits, incident reports and HSE records, extracts fields and flags gaps for review.
Data needed
Permit-to-work and incident documents
Live demo available
Energy, flaring and emissions monitoring
Monitors energy use, flaring and emissions against targets and flags deviations.
Data needed
Historian tags, meter data, emissions factors
Proof
Results from the field
MRPL 15 MMTPA digital twin, built by 5 people in 6 months
Partner-reported10–15% operational performance improvement across dDriven deployments
Partner-reportedUSD 91.5M annual procurement savings at a Saudi petrochemical manufacturer; −8% procurement cost; +15% forecast accuracy
Company-statedNoteResults from deployments by GoGenesis and its platform partners. Outcomes vary by portfolio and operating environment; your results are set in the pilot.
AI Tools
Assess, try and explore the tools
01 · Quick assessment
Four questions. A score, three recommendations and matched evidence.
What type of operation do you run?
02 · Live demos
Try it on synthetic sample data
Demo on synthetic sample data, not client data
Duplicate-parts finder
A sample of 40 SAP-style material descriptions. Abbreviations are normalised and descriptions compared; likely duplicates are grouped with a similarity score. Stock value that could be released = value of the duplicate records beyond the one you keep.
Records checked
40
Duplicate groups
14
Stock value that could be released
USD 31,812
- MAT-10015 ELECTRIC MOTOR 15 KW 415V 4 POLEkeepUSD 9,120
- MAT-10014 MOTOR,ELEC,15KW,415V,4PUSD 8,900
- MAT-10011 MECHANICAL SEAL FOR PUMP P-101AkeepUSD 4,410
- MAT-10009 SEAL,MECHANICAL,PUMP P-101USD 4,200
- MAT-10010 MECH SEAL PUMP P101USD 3,960
- MAT-10018 IMPELLER,PUMP,P-205keepUSD 5,600
- MAT-10019 PUMP IMPELLER P205USD 5,350
- MAT-10006 VALVE,GATE,2IN,CS,150#keepUSD 3,150
- MAT-10007 VLV GATE 2" CS 150LBUSD 2,870
- MAT-10031 TRANSMITTER,PRESSURE,4-20MAkeepUSD 2,650
- MAT-10032 PRESS TRANSMITTER 4-20 MAUSD 2,480
- MAT-10003 BEARING BALL 6205-2RSkeepUSD 1,510
- MAT-10001 BEARING,BALL,6205-2RS,SKFUSD 1,240
- MAT-10002 BRG BALL 6205 2RS SKFUSD 980
- MAT-10005 GSKT SPIRAL WND 4" 300LBkeepUSD 720
- MAT-10004 GASKET,SPIRAL WOUND,4IN,300#USD 640
- MAT-10034 CONTACTOR,3P,40A,230VACkeepUSD 410
- MAT-10035 CONTACTOR 3 POLE 40A 230V ACUSD 395
- MAT-10012 FILTER,OIL,LUBE,10MICRONkeepUSD 310
- MAT-10013 FLTR OIL LUBE 10 MICUSD 290
- MAT-10024 TC TYPE K 300MMkeepUSD 240
- MAT-10023 THERMOCOUPLE,TYPE K,300MMUSD 220
- MAT-10026 GAUGE PRESS 0-10 BAR 100MM DIALkeepUSD 175
- MAT-10025 PRESSURE GAUGE,0-10BAR,100MMUSD 160
- MAT-10021 V-BELT,B52keepUSD 85
- MAT-10022 BELT V B52USD 70
- MAT-10017 ORING VITON 50 X 3keepUSD 60
- MAT-10016 O-RING,VITON,50X3USD 45
- MAT-10029 STUD M16 X 100 B7keepUSD 15
- MAT-10028 STUD BOLT,M16X100,B7USD 12
Try your own short list (max 50 rows)
One material per line, optionally followed by ; and stock value. Processed in your browser only — nothing is sent or stored.
Demo on synthetic sample data, not client data
Equipment failure early warning
Sample vibration and temperature trends for 30 pumps and compressors over 30 days, 7 of which went on to fail. A risk index (0–100) is computed from the rise in vibration and temperature. Move the threshold to trade failures caught against false alarms.
Failures caught
7 of 7
False alarms
0
Assets flagged
7
| Asset | Risk | Status |
|---|---|---|
| P-103 Pump | 100 | Alarm |
| K-110 Compressor | 100 | Alarm |
| P-118 Pump | 100 | Alarm |
| P-123 Pump | 100 | Alarm |
| P-127 Pump | 100 | Alarm |
| P-106 Pump | 87 | Alarm |
| P-114 Pump | 83 | Alarm |
| K-104 Compressor | 29 | Normal |
| P-102 Pump | 27 | Normal |
| P-111 Pump | 23 | Normal |
| P-105 Pump | 22 | Normal |
| K-119 Compressor | 22 | Normal |
| K-107 Compressor | 20 | Normal |
| P-117 Pump | 19 | Normal |
| P-121 Pump | 19 | Normal |
| P-126 Pump | 19 | Normal |
| P-120 Pump | 17 | Normal |
| P-109 Pump | 15 | Normal |
| K-116 Compressor | 15 | Normal |
| K-125 Compressor | 15 | Normal |
| P-112 Pump | 11 | Normal |
| K-122 Compressor | 11 | Normal |
| P-124 Pump | 9 | Normal |
| P-108 Pump | 6 | Normal |
| K-101 Compressor | 5 | Normal |
| P-130 Pump | 5 | Normal |
| K-113 Compressor | 4 | Normal |
| K-128 Compressor | 4 | Normal |
| P-115 Pump | 0 | Normal |
| P-129 Pump | 0 | Normal |
P-103 · Pump · risk 100
Vibration (mm/s), 30 days
Bearing temperature (°C), 30 days
Evidence
Related cases
Energy & Manufacturing · Operations · Data platform
Refinery digital twin
MRPL, 15 MMTPA refinery
Operational data was spread across dozens of IT and OT systems.
- 15
- MMTPA refinery modelled
- 5
- people on the build team
- 6 mo
- to an enterprise digital twin
Energy & Manufacturing · Data platform · Operations
Petrochemical operations data backbone
Two large petrochemical complexes
Decision-makers lacked one consistent view across plants.
- 2
- large petrochemical complexes
- 20+
- IT/OT sources unified
- 300+
- dashboards delivered
Energy & Manufacturing · Procurement
Procurement & demand forecasting
SABIC
Procurement decisions relied on manual forecasts and fragmented supplier data.
- USD 91.5M
- annual savings
- −8%
- procurement cost
- +15%
- forecast accuracy
NoteResults from deployments by GoGenesis and its platform partners. Outcomes vary by portfolio and operating environment; your results are set in the pilot.