Advanced analytics for production operations. Analyze well performance, forecast decline curves, identify optimization opportunities, and make data-driven decisions with comprehensive production intelligence.
Production operators collect enormous amounts of data: daily oil, gas, and water volumes from hundreds or thousands of wells. Well tests. Pressure surveys. Equipment run times. Downtime events. But collecting data isn't the same as understanding it. Most operators struggle to turn production data into actionable insights that improve operations and asset value.
The problem is that production data typically lives in spreadsheets or basic databases with minimal analytics capabilities. When a production engineer wants to identify underperforming wells, they're manually comparing production rates across spreadsheets. When management asks about production trends, someone spends hours compiling charts. When you need to forecast production for reserves reporting, you're fitting decline curves by hand in Excel.
Spreadsheet-based production analysis creates analysis paralysis. By the time someone manually compiles production data and builds charts, the insights are outdated. Opportunities to optimize production or intervene on declining wells are missed because no one had time to look for them. Pattern recognition that could identify systemic issues is impossible when data lives in disconnected files. And forecasting that drives reserves estimates and business decisions is based on limited data and manual curve fitting instead of sophisticated analysis of all available historical performance.
Modern production analytics platforms should automatically aggregate production data, perform advanced analysis, and present insights through intuitive dashboards and reports. The system should make it easy to identify trends, benchmark performance, forecast production, and quantify the impact of operational changes.
Analyze individual well performance including production trends, decline rates, EUR forecasts, and comparison to type curves.
Real-time dashboards showing production volumes, well counts, performance trends, and operational KPIs across the entire field or portfolio.
Automated decline curve fitting for production forecasting. Support for exponential, hyperbolic, and harmonic decline models.
Forecast future production based on historical performance, decline trends, and planned operational changes.
Compare well performance across fields, vintages, or completion types. Identify top performers and understand what makes them successful.
Track and analyze production downtime to identify optimization opportunities and quantify lost production value.
Productioneer's analytics capabilities are built into the platform. Because all production data is stored in a central database (not scattered across spreadsheets), analytics can be performed in real-time across your entire production operation.
1. Production Dashboards
Real-time dashboards show production performance at field, lease, and well levels. Standard dashboards include current production volumes, production trends over time, well counts by status, top producing wells, and underperforming wells. Dashboards are customizable by date range, field, well type, or other filters.
2. Well Performance Analysis
Analyze individual well performance with detailed production history, cumulative production, EUR forecasts, and decline curve analysis. Compare actual performance to forecasts or type curves. Identify wells that are outperforming or underperforming expectations.
3. Decline Curve Analysis
Automated decline curve fitting using exponential, hyperbolic, or harmonic models. The system identifies the best-fit decline model based on historical production data. Decline curves are used for production forecasting and EUR (estimated ultimate recovery) calculation.
4. Production Forecasting
Generate production forecasts for individual wells or entire fields based on decline curves and historical performance. Forecasts can incorporate planned workovers, facility upgrades, or other operational changes that affect future production.
5. Benchmarking & Type Curves
Compare well performance across different groups (by field, completion type, vintage, etc.). Identify outliers — both top performers and underperformers. Use historical performance from similar wells to create type curves for development planning.
6. Production Allocation Analytics
For fields with commingled production, analyze allocation accuracy and identify potential allocation issues. Compare allocated volumes to well test data. Track allocation factor changes over time.
Use Case 1: Identifying Intervention Candidates
An operator uses Productioneer analytics to identify wells declining faster than expected. The analysis reveals 23 wells with abnormal decline rates. Production engineering investigates and finds most are good candidates for workover or artificial lift upgrades. After interventions, production from those wells increases 15% on average.
Use Case 2: Reserves Reporting
For quarterly reserves reporting, an operator needs production forecasts for 800 producing wells. Productioneer automatically generates decline curves and forecasts for all wells. What previously took two engineers a week now takes a few hours of review and validation.
Use Case 3: Field Development Planning
An operator is planning development of a new field. Production analytics in Productioneer provide type curves based on historical performance from similar wells in the area. These type curves inform EUR estimates, economics, and spacing decisions for the development plan.
Use Case 4: Production Optimization
Dashboard analytics identify that field-level production has been declining faster than forecast. Engineering investigates and discovers the decline is concentrated in wells on intermittent production due to facility constraints. The company invests in facility upgrades, returning those wells to continuous production and recovering the lost volumes.
Production analytics transforms operational data from a compliance requirement into a strategic asset. Instead of reactive problem-solving after production has already declined, teams proactively identify wells needing intervention. Instead of gut-feel decisions, engineers make data-driven choices backed by analysis of thousands of wells. Instead of weeks compiling reserves forecasts, you generate them automatically. And instead of managing by exception only when problems are obvious, you continuously monitor performance and optimize operations based on analytical insights.
Production analytics in Productioneer works automatically once production data is flowing into the system. Standard dashboards and reports are available immediately. As historical production data accumulates, analytics become more powerful — enabling trend identification and forecasting that isn't possible with limited data.
For operators with historical production data in other systems, Productioneer can import that data to enable long-term trend analysis and decline curve fitting from day one. Many operators import 5-10+ years of historical production to establish baseline performance models.
Custom analytics and dashboards can be configured based on your specific operational needs. The Productioneer team works with you to understand your key performance indicators and builds dashboards that surface the insights most relevant to your operations.
Schedule a demo to see production analytics in action, or learn more about Productioneer.