Industrial AI & Analytics
for Upstream

Find the process conditions behind unplanned shutdowns, lost production, and flaring before they cost you output.

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Explore our solutions:

Four areas where upstream engineers use their process data to reduce energy consumption and unplanned downtime.

Detect instability patterns early and understand what is degrading well performance beforeproduction drops.
Why Relevant:

In upstream production, stable wells mean stable production. However, well behavior is often influenced by complex interactions between reservoir conditions, multiphase flow dynamics, and surface constraints. Instabilities such as slugging, salt precipitation, or pressure oscillations can silently degrade well performance long before a visible production decline occurs.

Why TrendMiner:

TrendMiner allows engineers to analyze multivariate production data to detect instability patterns and understand the operational conditions affecting well performance. By comparing historical well behavior and identifying recurring patterns, engineers can quickly diagnose performance degradation and intervene before production losses escalate.

Identify surface or transport conditions that silently reduce throughput or trigger downtime events.
Why Relevant:

Production losses are not always caused by the reservoir. Surface facilities, compression systems, and transport infrastructure often introduce constraints that reduce throughput or create reliability risks. Small deviations in operating conditions can trigger compressor trips, transport disruptions, or integrity test deviations that impact production stability. 

Why TrendMiner:

TrendMiner enables engineers to correlate surface equipment behavior with upstream production conditions using historical time-series analysis. By identifying early warning patterns and operational deviations, teams can troubleshoot surface reliability issues faster and prevent recurring production disruptions.

Capture and standardize best-practice operating behavior during transient phases to ensure consistent well performance.
Why Relevant:

Transient phases such as startups, ramp-ups, or operational adjustments are often where production instability and operational variability occur. Differences in operator practices during these phases can significantly impact well stability, facility performance, and overall production efficiency.

TrendMiner’s Solution:

TrendMiner allows engineers to capture successful operating patterns and compare them with ongoing operations using historical fingerprinting and pattern analysis. By standardizing best-practice operating conditions, teams can improve consistency, reduce operational variability, and avoid instability during transient phases.

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The Upstream Engineer's Toolkit

Four analytical capabilities to solve production problems faster.

A platform where human intelligence meets advanced analytics

Fast & intuitive

Access and explore data effortlessly with a user-friendly platform for the whole team.

Advanced analytics

Empower everyone to generate insights with powerful analytics to drive data driven decisions.

Reporting & collaboration

Share insights, collaborate across teams, and create personalized dashboards to track progress.

Monitoring & alerts

Keep your plant and assets running smoothly with 24/7 monitoring and instant alerts.

Data contextualization

Transform time-series data into meaningful events in your enhanced data layer.

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Explore Our Newest Content to Maximize Your Operational Efficiency

Use case

Real-Time High Pressure Test Fingerprinting for Wellhead Integrity Assurance

Maximize throughput and resource efficiency through effective process order management, inventory alignment, and performance monitoring (OEE), ultimately to minimize waste and optimize operations.

Use case

From Sawtooth Signals to Stable Wells: Early Salt Precipitation Detection

Maximize throughput and resource efficiency through effective process order management, inventory alignment, and performance monitoring (OEE), ultimately to minimize waste and optimize operations.

Use case

Predicting Compressor Trips Before They Happen: Preventing Offshore Downtime

Maximize throughput and resource efficiency through effective process order management, inventory alignment, and performance monitoring (OEE), ultimately to minimize waste and optimize operations.

Customer presentation

Increasing Compression System Production Efficiency with Self-Service Data Analytics

Maximize throughput and resource efficiency through effective process order management, inventory alignment, and performance monitoring (OEE), ultimately to minimize waste and optimize operations.

process engineers working with industrial analytics software in a factory

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