/ Oil & Gas
From the wellhead to the regulator
Data, AI, and cloud for operators who run on decades of data trapped in systems that were never meant to talk. We unify it, govern it, and make it usable, from the wellhead to the refinery to the regulator.
- SCADA & PI historians
- Upstream to downstream
- HSE & emissions
- ISO 27001
Oil and gas practice
Upstream and midstream data put to work.
Why operators stall
Decades of production data,
finally in one conversation.
SCADA, PI historians, drilling systems, and ERP each hold a piece of the truth. We bring them onto one governed platform, so production, maintenance, and emissions report from the same numbers and every figure traces back to the sensor that produced it. When the regulator asks, the answer is a query.
99.97%Uptime across 72+ servers
A complex digital estate kept available around the clock with automated DevOps and monitoring. The operations bar we hold for platforms that carry production data.
Read the case study
/ Across the value chain
Three stages. Different clocks. One foundation.
Upstream, midstream, and downstream run on different systems and different clocks. We build the data foundation that ties them together without pretending they are the same.
/ 01
Upstream
Production and drilling analytics on top of SCADA, historian, and well data. One governed view of output and equipment instead of a folder of exported spreadsheets.
- Production surveillance
- Drilling and completion analytics
- Well and reservoir data
/ 02
Midstream
Pipeline and asset monitoring that brings sensor, SCADA, and maintenance data together so integrity and throughput are visible in real time, not after an incident.
- Pipeline integrity monitoring
- Asset performance
- Throughput and balancing
/ 03
Downstream
Refinery, trading, and supply-chain data unified for margin, yield, and scheduling decisions, with the lineage to trace any figure back to where it came from.
- Refinery and yield analytics
- Trading and supply data
- Demand and scheduling
/ What we build for operators
Systems that move a number you care about.
Uptime, throughput, margin, or the figure on a regulatory filing. Every build starts from the metric it is supposed to move.
01
SCADA & historian integration
SCADA, historians like PI, and ERP pulled into one governed cloud platform, so engineers and analysts stop exporting CSVs and start working from a single source. Real-time where operations need it, batch where it does not.
SCADAPI historiansERPReal-time pipelines
02
Predictive maintenance
Models that read sensor, historian, and maintenance history flag equipment issues before they become failures or safety incidents. In this industry a missed failure is rarely just downtime, so the reliability bar is high.
Sensor dataML modelsMaintenance historyAsset integrity
03
Production analytics
Surveillance and optimization across wells and facilities, so production teams see what is happening now instead of last week. The morning meeting runs on live numbers, not a reconciliation argument.
Production surveillanceWell dataFacilitiesOptimization
04
HSE & emissions reporting
A trustworthy data foundation for health, safety, emissions, and regulatory reporting, with lineage to back every figure when an auditor asks. The number on the filing traces to the sensor that produced it.
HSEEmissions trackingRegulatory reportingData lineage
05
Energy transition & ESG
The same governed platform that runs production analytics carries emissions, ESG, and energy-transition reporting, so sustainability data holds up like financial data instead of living in a separate spreadsheet exercise.
ESG reportingEnergy transitionEmissions dataGovernance
06
Cloud modernization
Aging on-prem analytics moved to a governed cloud platform with FinOps and security built in, phased so operations never wait on a big bang. The old system stays on until the new one has earned trust.
Cloud migrationFinOpsSecurityPhased cutover
/ Results
Held to an operational bar.
Enterprise Technology Company
99.97%Uptime across 72+ servers
Automated DevOps and 24/7 monitoring across a complex estate. The operations discipline we bring to platforms that carry production data.
Read the operations story
Global Food Services Operator
53Countries on one data platform
One governed platform for 400,000 employees replacing dozens of regional reporting stacks, with decisions landing 22% faster. Proof the global-operations pattern works.
Read the story
Global Financial Services Firm
90dFrom prototype to production
Azure Data Lake, Databricks, AKS, and Synapse connected into one governed foundation for analytics and machine learning.
Read the Azure Lakehouse story/ How an engagement runs
Five phases. No big bang.
01
Assess
Weeks 1 to 2
Inventory the estate: SCADA, historians, drilling systems, ERP, and where each figure on a regulatory filing actually comes from today.
02
Architect
Weeks 2 to 4
Platform design that respects the value chain: upstream, midstream, and downstream tied together without pretending they are the same.
03
Build
Weeks 4 to 12
Pipelines from the operational systems into the governed platform, shipped in increments and validated against field data.
04
Prove
Parallel run against the numbers engineers already trust. Production, maintenance, and HSE sign off before anything old retires.
05
Run
Around-the-clock operations under SLAs, or a clean handover with runbooks that survive a shift change.
The value chain runs on the pipelines.
SCADA integration, predictive maintenance, and emissions reporting all stand on the same discipline: operational data engineered into one governed platform. That is our data engineering practice, and oil and gas is where it works hardest.
Data Engineering/ Why ACI
Why operators build with us
/ Scale
Founded 2006.
1,200+ engineers across 11 global delivery hubs. 500+ enterprise projects.
/ Compliance
ISO 27001 certified and CMMI Level 3 appraised.
The platforms we build produce audit evidence as a byproduct of running.
/ Operations
24/7 managed operations under published SLAs.
Production data does not keep office hours, and neither do we.
/ Delivery
The architects who scope the work are the ones who build it.
No handoff between the pitch deck and the delivery pod.
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Read/ Oil & gas FAQ
Oil & gas questions,
answered straight.
Where does ACI help across the oil and gas value chain?
Upstream, midstream, and downstream: production and drilling analytics, pipeline and asset monitoring, and refinery and trading data. The shared problem is decades of data in systems that were never meant to talk to each other.
Can you bring SCADA and historian data into a modern platform?
Yes. We integrate SCADA, historians like PI, and ERP into a governed cloud platform so engineers and analysts work from one source instead of exporting CSVs. Real-time where operations need it.
How do you handle predictive maintenance for field assets?
Models that read sensor, historian, and maintenance data flag equipment issues before they become failures or safety incidents. In this industry a missed failure is rarely just downtime, so the bar for reliability is high.
What about HSE, emissions, and regulatory reporting?
We build the data foundation for emissions tracking and regulatory reporting with the lineage to back every figure. When a regulator or auditor asks, the numbers should hold up.
Do you support energy transition and ESG data needs?
Yes. The same governed platform that runs production analytics can carry emissions, ESG, and energy-transition reporting, so sustainability data is as trustworthy as financial data, not a separate spreadsheet exercise.