Oilfield Production Forecasting

Adopting an advanced analysis of decline curves methodology provides important forecasting results for future production from a single well or multiple wells across reservoirs and fields. With SAS, you can:

• Access well and reservoir data quickly and easily with an intuitive graphical user interface that integrates and profiles forecasting data, identifies outliers and missing values, and lets you select appropriate treatment strategies.
• Apply analytical functions consistently across the organization with a forecasting solution that automatically selects the best forecast model, but allows human intervention and benchmarking for repeatability. For gas reservoirs, multiple embedded water encroachment models are available.
• Perform decline analysis quickly and flexibly with a robust analytical engine that provides what-if scenarios to model EUR based on a predefined range of easily adjustable, industry-standard default values.
• Estimate unconventional sources of well production more accurately using best-fit prediction that utilizes smaller data sets when large volumes of historical data are not available.

With highly automated, rigorous analytical techniques from SAS, you can optimize production, improve reserve estimation accuracy and generate reliable results for financial reporting on proven, probable and possible assets. SAS provides:

• Comprehensive data integration. Unlike most decline curve analysis methods, SAS solutions normalize distributions, look for outliers and patterns within data to identify rogue values, and ensure compatibility of data sets with curve type selection.
• What-if analyses. Better predictions result from evaluating performance of wells and reservoirs under simulated business and environmental conditions.
• Comprehensive business intelligence capabilities. A Web-based solution that integrates with existing data sources to establish a user-friendly, repeatable decision support foundation – enabling rapid identification and visualization of problematic wells or reservoirs with off-target production.
• Probabilistic forecasts. Advanced analytical approaches go beyond business as usual to quantify measures of uncertainty, increase robustness of forecasts and deepen understanding of oilfield performance.