Turning Reservoir and Production Data Into Better Decisions
Reservoir and production teams manage complex subsurface behavior with limited direct visibility. Decisions around production strategy, recovery methods, and field development rely heavily on interpreting large volumes of geological, operational, and historical data.
At PySquad, we build reservoir and production analytics solutions that help teams move from fragmented data to clear insight. The focus is understanding reservoir behavior, improving recovery, and supporting confident production decisions over the life of the field.
The Real Challenges in Reservoir and Production Analysis
Oil and gas operators commonly face:
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Data scattered across subsurface, production, and operations systems
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Limited visibility into reservoir performance trends
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Difficulty correlating subsurface behavior with production outcomes
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Reactive production adjustments instead of proactive planning
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Inconsistent analysis across assets and teams
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High effort to generate reliable forecasts
These challenges limit recovery efficiency and long-term field performance.
Why Traditional Analysis Methods Fall Short
Spreadsheets and isolated engineering tools struggle with modern field complexity.
Common limitations include:
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Manual data preparation and reconciliation
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Limited ability to analyze data across wells and time
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Poor integration between reservoir and production data
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Static models that are slow to update
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Difficulty sharing insights across teams
Modern analytics platforms bring subsurface and production data together.
Our Approach to Reservoir and Production Analytics
We design analytics platforms that support engineers throughout the asset lifecycle.
Our approach includes:
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Integrating subsurface, production, and operational data
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Enabling historical analysis and trend detection
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Supporting forecasting and scenario analysis
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Providing clear, explainable insights
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Allowing continuous learning as new data becomes available
The result is improved production decisions grounded in data.
Core Capabilities We Build
Reservoir Performance Analysis
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Tracking pressure, flow, and recovery indicators
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Understanding reservoir response over time
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Improved insight into depletion and behavior
Production Optimization Analytics
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Monitoring well and field-level performance
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Identifying underperforming assets
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Supporting optimization and intervention planning
Forecasting and Decline Analysis
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Data-driven production forecasting
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Decline curve and scenario analysis
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Better planning and resource allocation
Cross-Asset Benchmarking
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Comparing performance across wells and fields
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Identifying best practices and improvement areas
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Consistent analysis across portfolios
Collaboration and Decision Support
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Shared views for reservoir and production teams
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Clear explanations of analytical results
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Faster alignment on operational actions
Technology Built for Subsurface and Production Analytics
Our platforms are designed for reliability and analytical depth.
Typical technology stack includes:
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Backend services using Django or FastAPI
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Data integration and processing layers
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Analytics and modeling components
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REST APIs for integration with engineering tools
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Secure cloud or hybrid deployment
Technology decisions prioritize accuracy, transparency, and scalability.
Who This Solution Is Best For
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Upstream oil and gas operators
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Reservoir and production engineering teams
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Asset managers and field development planners
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Organizations improving recovery and efficiency
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Teams modernizing subsurface analytics
Whether managing a single reservoir or a global asset portfolio, the solution scales with your needs.
Why Energy Teams Choose PySquad
Clients partner with us because:
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We understand subsurface and production workflows
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We focus on explainable, engineer-friendly analytics
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We integrate analytics into daily decision-making
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We build systems that evolve with the field lifecycle
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We deliver stable, long-term platforms
You work directly with senior engineers and analytics specialists who take ownership of asset performance.
A Practical Starting Point
Improving reservoir and production decisions starts with connected data.
We can help you:
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Review your current reservoir and production data landscape
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Identify gaps in visibility and forecasting
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Design a scalable analytics architecture
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Build solutions aligned with asset and recovery goals
Start with a focused discussion around reservoir insight and production optimization.
Share how you currently analyze reservoir and production data, and we will help you design the right analytics solution.