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Use CaseProduction Operations Analytics

AI Agents for Upstream & Midstream IntelligenceAI Agents for Production Operations Analytics

Deploy AI agents that ingest SCADA, PI historian, WITSML well data and production allocation records to generate daily production reports, detect underperformance, diagnose downtime root causes and surface optimisation opportunities — without waiting on engineering teams.

About Production Operations Analytics

Production Operations Analytics solutions powered by autonomous AI agents enable enterprises to overcome data-rich but insight-poor operations. Our production operations analytics AI platform provides comprehensive automation for automated production intelligence. Trusted by Fortune 500 companies and leading enterprises worldwide for mission-critical production operations analytics operations. Deploy AI-powered agents that work 24/7 to transform your production operations analytics workflows with enterprise-grade security, compliance, and scalability.

Key capabilities include automated daily production reporting from scada, osisoft pi/af and production allocation data, anomaly detection for well performance decline, separator inefficiency and compressor issues, deferral classification and root cause attribution for production loss accounting, automated production forecasting vs actual variance analysis with decline curve benchmarking. Organizations achieve Daily Production Reports in Minutes, Earlier Anomaly Detection, and Reliable Deferral Accounting through our intelligent automation platform.

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Problem and Solution Overview

The friction today

Data-Rich but Insight-Poor Operations

Modern production facilities generate millions of sensor readings daily, yet turning raw data into actionable production intelligence still requires hours of manual work from operations engineers.

Common challenges in production operations analytics include high operational costs, slow processing times, manual errors, and scalability limitations. Traditional approaches to production operations analytics struggle with daily production reports assembled manually from disparate scada, historian and erp sources, leading to inefficiencies and missed opportunities. Organizations face increasing pressure to modernize production operations analyticsoperations while maintaining compliance and reducing costs.

  • Daily production reports assembled manually from disparate SCADA, historian and ERP sources
  • Downtime events classified inconsistently — deferral analysis unreliable for investment decisions
  • Well performance anomalies detected late — days or weeks after underperformance begins
  • Production allocation reconciliation takes days per period, delaying revenue and planning data
With Alomana agents

Automated Production Intelligence

Alomana agents continuously ingest production data streams, reconcile allocations, detect anomalies, classify deferral events and generate structured daily, weekly and monthly production intelligence reports.

Alomana's production operations analytics AI agents provide end-to-end automation with enterprise-grade reliability. Our platform leverages advanced machine learning, natural language processing, and intelligent process automation to deliver Daily Production Reports in Minutes. The solution integrates seamlessly with existing systems including ERPs, CRMs, and legacy applications. Real-time monitoring, audit trails, and compliance reporting ensure governance and transparency. Scalable architecture supports growing workloads without performance degradation.

  • Automated daily production reporting from SCADA, OSIsoft PI/AF and production allocation data
  • Anomaly detection for well performance decline, separator inefficiency and compressor issues
  • Deferral classification and root cause attribution for production loss accounting
  • Automated production forecasting vs actual variance analysis with decline curve benchmarking

See it in motion

See the agents working on your behalf

Watch how autonomous agents orchestrate data extraction, reasoning and reporting on complex, real-world workloads.

Turn your proprietary data into value

Autonomously analyzes databases, discovers anomalies, and extracts insights from your data

Jade is an autonomous AI data analysis agent that discovers anomalies, generates predictive insights, and automates database analysis across your enterprise systems. Key features include fraud detection, automated reporting, real-time data monitoring, and advanced analytics for business intelligence.
$1M Fraud Prevented

in the last 12 months for one of the largest global servicers across $5B+ in transactions processed.

Data Upload

Upload and process your data files

Drop your files here, or browse

Supports Excel (.xlsx, .xls) and CSV files

Outcomes

What teams achieve with this use case

Organizations implementing production operations analytics AI agents achieve significant improvements across key metrics. Benefits include reduced operational costs, faster processing times, improved accuracy, enhanced compliance, and better scalability. Real-world deployments demonstrate measurable ROI within weeks of implementation. Teams report higher productivity, reduced manual work, and ability to focus on strategic initiatives. The platform supports continuous improvement through machine learning and adaptive algorithms. Enterprise customers benefit from dedicated support, custom integrations, and tailored deployment options including on-premises and cloud-based solutions.

01

Daily Production Reports in Minutes

Eliminate the 2–4 hours engineers spend each morning assembling production data — freeing time for analysis and optimisation work.

02

Earlier Anomaly Detection

Continuous monitoring detects well underperformance and equipment efficiency losses days earlier than manual review, reducing deferred production.

03

Reliable Deferral Accounting

Consistent deferral classification and root cause attribution produces reliable production loss data for investment decisions and regulatory reporting.

Questions, answered

Frequently asked questions

Which production data historians and SCADA platforms do agents connect to?

Agents integrate with OSIsoft PI (AVEVA PI), AspenTech IP.21, Honeywell PHD, Emerson DeltaV and major SCADA systems. Standard WITSML and PRODML interfaces support well data ingestion from drilling and production systems.

Can agents handle production allocation reconciliation?

Yes. Agents automate field-to-custody metering reconciliation, applying allocation equations and tier splits — producing daily and monthly allocation statements with variance explanations and audit trails for fiscal and regulatory reporting.

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