Oil and Gas IT Solutions

We help oil and gas teams modernize planning, production, and field operations with software and data engineering that fits how crews work. By connecting SCADA and historians to cloud analytics, unifying well and asset data, and automating field capture, we cut downtime, raise lift and throughput, improve HSE visibility, and speed trading – integrated with SAP, Maximo, and PI System on Azure or AWS.

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Our Offerings

SCADA, Historian & Edge Integration
Operations Data Platform
Production Optimization & Forecasting
Asset Health & Predictive Maintenance
HSE & Emissions Analytics
Field Mobility & Offline Apps

SCADA, Historian & Edge Integration

Connect plant and field systems – SCADA, PLCs, and historians like PI System or Ignition – into a clean, time-aligned data model. We build OPC UA/MQTT pipelines, apply data quality rules, add context (assets, wells, pads), and backfill gaps so engineers can trust tags and events across sites.

Operations Data Platform

Stand up a lakehouse for time series, logs, and business data (SAP, Maximo, LIMS). We design batch and streaming pipelines, a semantic layer for self-service queries, and governance that keeps asset, work order, and production data consistent across the enterprise.

Production Optimization & Forecasting

Combine physics-based methods and machine learning to forecast rates, detect underperforming wells, tune gas-lift and ESP setpoints, and spot paraffin or water cut shifts early. Dashboards highlight actionable deltas; APIs feed setpoints back to control within defined guardrails.

Asset Health & Predictive Maintenance

Build asset twins for compressors, pumps, turbines, and rotating equipment. We fuse vibration, temperature, and maintenance history to predict failures, estimate remaining useful life, and auto-prioritize work orders to Maximo or SAP PM with parts and crew suggestions.

HSE & Emissions Analytics

Unify permits, inspections, alarms, and sensor readings to surface leading indicators. Real-time views track gas detection, flare events, and near misses; reports calculate methane intensity and reconcile LDAR findings, supporting ESG disclosures without extra manual effort.

Field Mobility & Offline Apps

Deploy offline-first mobile apps for rounds, work orders, and inspections. Techs can capture photos, barcodes/RFID, and notes at the wellhead; data syncs on reconnect, updating KPIs and triggering follow-ups automatically.

How We Bring Value To Your Business

When software and data match day-to-day operations, the impact in oil and gas is immediate and compounding.

  • 1

    More uptime, more barrels

    Predict failures on rotating equipment, catch flow anomalies early, and auto-prioritize work in SAP or Maximo. Gas-lift and ESP setpoints stay within guardrails, MTTR drops, and production losses from unplanned outages shrink.

  • 2

    One source of operational truth

    SCADA, historians, work orders, and production accounting feed a shared model with clear definitions. Engineers and managers make decisions from the same numbers, without export-and-spreadsheet cycles or conflicting KPIs.

  • 3

    Lower OPEX per asset

    Condition-based maintenance, parts kitting, and tighter crew scheduling cut truck rolls and overtime. Offline-capable mobile apps reduce rework and data lag, improving cost per BOE across fields and plants.

  • 4

    Safer sites and cleaner compliance

    HSE events, gas detection, and alarms roll into real-time views. Incident trends, near-miss patterns, and emissions inventories (including methane intensity and LDAR reconciliation) are ready for audits and stakeholder reports.

  • 5

    Tighter supply, pipeline, and terminal control

    Batch tracking, imbalance detection, meter proving, and LACT integration give controllers earlier line-of-sight on constraints. Schedulers adjust plans sooner, reducing penalties and unplanned downtime.

  • 6

    Future-ready architecture

    OPC UA/MQTT at the edge, API-first services, and lakehouse patterns on Azure or AWS keep systems interoperable and upgrade-friendly. You can add new apps or replace legacy components without ripping out what already works.

Challenges We Commonly Solve

The blockers we see most often—and how we approach them.

Messy tags and mismatched data

SCADA tags, PI points, and asset names don’t line up across sites. We catalog sources, map aliases, ingest via OPC UA/MQTT, and add asset/well context so time series, events, and work orders align in one model.

Downtime you can’t predict

Pumps, compressors, and turbines fail without warning. We fuse vibration and temperature with maintenance history to estimate remaining useful life, then auto-create prioritized Maximo/SAP PM work with parts and crew details to cut MTTR.

Field work stalls without signal

Coverage drops in remote areas. We deploy offline-first mobile rounds, inspections, and work orders with photos and barcode/RFID capture; data syncs on reconnect so supervisors see status without chasing updates.

Control room vs. accounting never reconciles

SCADA volumes, allocations, and production accounting disagree. We standardize allocation logic, track shrinkage and flaring, and keep audit trails so daily balances and month-end close match what operators see.

Leak detection is noisy

False alarms hide real issues. We combine pressure-transient and meter-imbalance analytics with event correlation to filter noise, highlight likely leaks, and guide controllers to the next best action faster.

Emissions and HSE data live in silos

LDAR findings, gas detection, permits, and incidents sit in separate tools. We unify them, calculate methane intensity, detect flare exceptions, and generate report-ready views for audits and stakeholder disclosures.

Pick your top blocker and we’ll map a 30-day fix.

Why Choose WiserBrand

You need a partner who understands industrial data, builds with operators, and hands over systems your team can own.

  • 1

    Deep integration with your stack

    We connect SCADA, historians (PI, Ignition), and PLCs to Azure or AWS, synchronize with SAP and Maximo, and add context (assets, wells, pads) so tags, events, and work orders line up. Pipelines include OPC UA/MQTT, backfills, and data quality rules, giving engineers clean, query-ready data.

  • 2

    Operator-first delivery

    We prototype beside control rooms and field crews, validate offline use in remote sites, and map screens to SOPs. The result: fewer clicks for techs, clearer alarms for controllers, and dashboards that answer daily questions without export cycles.

  • 3

    Cost discipline and clean handover

    From day one we track run costs, right-size storage and compute, schedule jobs, and avoid tool sprawl. Every pipeline and model ships with docs, runbooks, and training, so your internal team can operate and extend the platform without vendor lock-in.

Cooperation Models

Choose the level of engagement that fits your team and timeline.

End-to-End Project Delivery

We take a scoped outcome from discovery to production- such as SCADA-to-cloud integration, a production dashboard, or a mobile work app. You get a delivery plan, sprint cadence, and clear acceptance criteria. We handle build, testing, cutover, and handover with runbooks and training so your team can operate the system on day one.

Co-Delivery Product Squad

Embed a cross-functional squad (data engineer, backend, frontend, QA, analyst, delivery lead) that ships alongside your product owner. Work happens in your repos and pipelines, with joint code reviews, shared dashboards, and two-week increments. This model accelerates delivery while transferring patterns and ownership to your team.

Advisory & Enablement

Use focused engagements to unlock progress: architecture and data modeling, PI/SCADA integration patterns, Azure/AWS landing zones, MLOps setup, or KPI/semantic layer design. We run workshops, create reference implementations, and coach your engineers so they can extend the platform without vendor dependence.

Our Experts Team Up With Major Players

Partnering with forward-thinking companies, we deliver digital solutions that empower businesses to reach new heights.

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Our Approach

We work in short cycles with clear handoffs so your team owns the outcome.

01

Discover & Align

Interview operations, maintenance, and finance, map current data flows, define success criteria, and select a first-use case (e.g., downtime reduction on a compressor train or daily production reconciliation).

02

Connect & Model

Connect SCADA/PLCs and historians via OPC UA/MQTT, standardize tags, and build a context model (assets, wells, pads). Establish data contracts and a semantic layer for consistent KPIs.

03

Build & Validate

Develop pipelines (batch/stream), dashboards, and APIs; add data quality checks and backfills. Validate with real users in the control room and field, iterating on screens and alerts that support SOPs.

04

Cutover & Enable

Run shadow mode, execute a cutover plan, and train users. Provide docs, runbooks, and admin tools so your engineers can operate jobs, manage schemas, and ship small improvements safely.

05

Operate & Evolve

Monitor reliability and cost, review outcomes against the original targets, and expand to the next use case (e.g., lift optimization, leak detection, or emissions reporting) without rebuilding the foundation.

Oil and Gas IT Solutions FAQ

What do you tackle first?

A focused use case – often reducing unplanned downtime on critical equipment or fixing daily production reconciliation – so value shows up fast and guides the next step.

Can you integrate with our SCADA, historians, and ERP/EAM?

Yes. We connect PLCs/SCADA and PI/Ignition via OPC UA/MQTT, model tags with asset context, and sync with SAP S/4HANA or Maximo through APIs without disrupting operations.

Do you support cloud, on-prem, and hybrid?

We deploy on Azure or AWS in your VPC, keep historians on-prem as needed, and use edge gateways for reliable collection from remote sites.

How do field crews work offline?

Offline-first mobile apps capture photos, barcodes/RFID, and notes at the wellhead; data validates locally and syncs on reconnect so supervisors see progress without delays.

How is success tracked?

We set KPIs at kickoff – uptime, MTTR, production balance accuracy and time-to-close, false-alarm rate for leak detection, and emissions reporting latency – then report them in shared dashboards for operators and leadership across oil and gas operations.