Oil and gas wellhead operations manage 40-120 concurrent production wells across expansive geographic areas where each wellhead generates continuous sensor data from pressure gauges, temperature sensors, and...
From refinery process optimization to autonomous pipeline inspection — iFactory brings AI vision, predictive maintenance, pipeline integrity, emissions intelligence, and on-premise OT security to every segment. Upstream. Midstream. Downstream.
Whether you operate upstream wellpads, midstream pipelines, or downstream refineries — iFactory's AI platform covers every aspect of oil and gas operations.
CDU, FCC, hydrocracker, reformer yield & energy AI optimization
Leak detection, flame/smoke, PPE, corrosion & weld inspection
Tank inspection, pipeline crawlers, flare drones, offshore patrol
Compressors, pumps, heat exchangers, turbines — 72+ hr alerts
Corrosion modeling, PIG data, CP monitoring, PHMSA compliance
Methane, VOC, flare optimization, GHGRP & EU ETS reporting
Real-time process simulation, what-if scenarios, crude assay AI
IEC 62443, NVIDIA edge AI, air-gapped, zero cloud dependency
A 1% yield shift on a 200,000 bpd refinery is worth $3-8M annually. iFactory's AI analyzes 5,000+ parameters per second — CDU cut points, FCC riser temperatures, hydrocracker severity, and crude blend ratios — continuously optimizing product slate for maximum margin per barrel.
Maximize distillate yield per crude
Catalyst, severity, conversion tuning
Optimal slate from 40+ crude grades
Steam, hydrogen, fuel gas balance
A single hydrocarbon release can cost $10-50M in fines, cleanup, and lost production. iFactory Vision processes 24+ camera feeds simultaneously — optical gas imaging for methane/VOC leaks, flame and smoke detection in under 3 seconds, PPE compliance in H2S zones, and corrosion mapping at 99%+ accuracy.
Methane, VOC per EPA OOOOa/b
Sub-3s alert, zone isolation
FRC, H2S monitor, hard hat, goggles
CUI, pitting, weld defects
Confined space entry causes 60+ fatalities per year in oil & gas. iFactory deploys quadruped robots for tank farm and process unit patrol, pipeline crawlers with UT sensors for internal wall mapping, and OGI-equipped drones for wellpad and flare stack surveys — eliminating confined space permits and H2S exposure entirely.
API 653, MFL floor scanning
Internal UT, visual, corrosion map
Methane survey, stack inspection
Finding to CMMS, GPS-tagged
Unplanned shutdowns cost refineries $500K-$2M per day in lost throughput and flaring penalties. iFactory's ML models fuse vibration, thermal, oil analysis, and process data across compressors, pumps, heat exchangers, and turbines — predicting bearing failures, seal leaks, and fouling 72+ hours before they cascade into shutdowns.
Vibration, thermal, oil, process
Surge, bearing, seal degradation
UA tracking, cleaning schedule AI
RUL scoring for every critical asset
Pipeline failures cost operators $7B+ annually in damages, fines, and remediation (PHMSA data). iFactory ingests ILI/PIG run data, corrosion coupon readings, CP survey potentials, and SCADA flow/pressure data — building AI corrosion growth models that predict remaining wall thickness and prioritize dig verifications per API 1160 and ASME B31.8S.
Growth rate, remaining life prediction
MFL, UT, caliper run analysis
Rectifier, anode bed, CIS surveys
49 CFR 192/195, API 1160 ready
| Seg 14, MP 42.3 | 62% wall loss | Dig Q2 |
| Seg 7, MP 118.9 | 48% wall loss | Monitor |
| Seg 22, MP 5.1 | 44% wall loss | Monitor |
EPA's Methane Emission Reduction Program charges $1,500/ton for excess methane starting 2026. iFactory monitors methane and VOC emissions in real-time via OGI cameras, CEMS, and satellite correlation — optimizes flare combustion to 98%+, tracks routine vs. non-routine events, and auto-generates GHGRP, EU ETS, and CDP carbon reports.
EPA OOOOa/b, EU Methane Reg
98%+ DRE, routine flare reduction
GHGRP, CDP, GRI, TCFD, ISSB
Zero Routine Flaring by 2030
Oil and gas OT networks are critical national infrastructure — targeted by state-sponsored cyber threats. iFactory runs entirely on NVIDIA-powered edge servers behind your DMZ, compliant with IEC 62443 industrial cybersecurity, API 1164 pipeline SCADA security, and TSA Pipeline Security Directives. Full air-gapped deployment available for NOCs and offshore platforms.
SL-2/SL-3 security levels
DGX, HGX, EGX, Jetson supported
No cloud latency, no data egress
Complete network isolation option
Real numbers from refineries, pipelines, and upstream operators running the iFactory AI platform worldwide.
AI + robotics catch failures before cascade
AI process optimization + energy network
Zero violations, audit-ready always
AI corrosion models + integrity management
"iFactory's AI vision detected 14 methane leaks in our first month that manual LDAR surveys missed. We eliminated $3.2M in potential EPA penalties and reduced our methane intensity by 52%."
"The CDU optimizer paid for itself in 6 weeks. We shifted distillate yield by 3.2% and saved $4.8M in the first year — all while reducing energy consumption by 18%. The ROI is undeniable."
"Pipeline integrity management went from spreadsheets and 6-week ILI analysis cycles to real-time AI corrosion modeling. We prevented 3 potential ruptures in year one and achieved full PHMSA compliance."
Answers for refinery managers, pipeline integrity engineers, HSE directors, and CXOs evaluating Industry 4.0 for oil and gas operations.
iFactory's AI monitors 5,000+ parameters per second across your crude distillation unit (CDU), fluid catalytic cracker (FCC), hydrocracker, and reformer — cut points, reflux ratios, catalyst activity, reactor temperatures, and crude blend ratios. ML models optimize product yield to maximize high-value distillates, reduce energy consumption by 15-25%, and extend catalyst life by 20%. For a 200,000 bpd refinery, AI-driven crude blend optimization alone saves $2-5M annually by selecting optimal crude slates. The platform also optimizes hydrogen network balancing and sulfur recovery unit efficiency.
iFactory deploys AI vision across upstream, midstream, and downstream: optical gas imaging (OGI) for methane and VOC leak detection per EPA OOOOa/b requirements, flame and smoke detection with sub-3-second alerting for process units, PPE compliance monitoring in H2S and hydrocarbon zones, pipeline right-of-way surveillance, tank farm corrosion and weld inspection for API 653 compliance, and flare combustion efficiency monitoring. All detections process on-premise in under 50ms at 99%+ accuracy across 24+ simultaneous camera feeds.
Oil and gas facilities have the highest confined space fatality rate of any industry. iFactory replaces manual entry with: quadruped robots for tank farm patrol, process unit gas monitoring, and offshore topside inspection; pipeline crawlers with MFL and UT sensors for internal wall thickness mapping; OGI-equipped drones for wellpad methane surveys, flare stack inspection, and pipeline corridor surveillance. All findings — thermal images, UT data, gas readings, visual defects — auto-generate GPS-tagged work orders in the CMMS. This cuts inspection costs by 60% and eliminates confined space entry.
iFactory provides end-to-end pipeline integrity management compliant with PHMSA 49 CFR 192/195, API 1160, and ASME B31.8S. The platform ingests inline inspection (ILI/PIG) data — MFL, UT, caliper — corrosion coupon readings, cathodic protection (CP) potentials, and SCADA pressure/flow data to build AI-driven corrosion growth models. It predicts remaining wall thickness, risk-ranks anomalies, schedules dig verifications, tracks repair history, and auto-generates DOT compliance reports. For a 5,000-mile pipeline network, iFactory reduces integrity-related failures by 40% and cuts ILI data analysis time from weeks to hours.
Yes. Oil and gas OT networks are critical national infrastructure targeted by advanced persistent threats. iFactory deploys on NVIDIA-powered edge servers with all AI processing running locally — zero cloud dependency, sub-10ms inference, full air-gap capability. This meets IEC 62443 industrial cybersecurity standards (SL-2/SL-3), API 1164 (pipeline SCADA security), TSA Pipeline Security Directives (SD-02D), and NIST Cybersecurity Framework v2.0. All operational data stays within your Purdue Model security architecture. Full air-gapped deployment available for NOCs and offshore installations.
Methane regulations are tightening globally — EPA's Methane Emission Reduction Program charges $1,500/ton for excess methane starting 2026, the EU Methane Regulation mandates LDAR frequency, and the World Bank's Zero Routine Flaring initiative targets 2030. iFactory monitors methane and VOC emissions in real-time using AI-powered OGI cameras, CEMS data, and satellite correlation. It optimizes flare combustion to 98%+ DRE, tracks routine vs. non-routine flaring events, and auto-generates GHGRP, EU ETS, CDP, and ISSB carbon reports. Typical operators reduce methane intensity by 40-60% and eliminate $2-8M in annual carbon penalty exposure.
Yes. iFactory integrates with all major oil and gas automation platforms — Honeywell Experion PKS, Yokogawa CENTUM VP, ABB Ability 800xA, Emerson DeltaV, Schneider Foxboro — through OPC-UA, OPC-DA, MQTT, and Modbus protocols. It connects natively to OSIsoft PI, Aveva PI (IP.21), and other process historians. ERP integration covers SAP PM/MM, Oracle EAM, and IBM Maximo. LIMS, SIS, fire & gas, and tank gauging systems connect through standard APIs. Zero rip-and-replace — iFactory layers on top of your existing Purdue Model architecture.
Deployment varies by module and facility type: Core CMMS with pre-built oil & gas templates — 1-2 weeks. AI vision cameras for leak and safety detection — operational in 3-5 days. Robot/drone inspection routes — mapped in 1-2 weeks. Refinery process optimization — 4-6 weeks of baseline data. Pipeline integrity data migration — 2-4 weeks. Full platform deployment is typically 6-10 weeks. Deployment is unit-by-unit with zero impact on production. 90-day hands-on support included with API, PHMSA, EPA, and IEC 62443 compliance setup.
Join IOCs, NOCs, and independent operators worldwide running iFactory's complete AI platform. Get a free assessment and see exactly how much downtime, energy cost, and compliance risk you can eliminate.