An Intelligent System's Approach

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An Intelligent System's Approach for Revitalization of Brown Fields using only Production Rate Data

By: Dr. Shahab Mohaghegh

State-of-the-art in production data analysis allows engineers to characterize reservoirs using production data. This saves companies large sums that should otherwise be spend on well testing and reservoir simulation and modeling. There are two shortcomings with today’s production data analysis:

• It needs bottom-hole or well-head pressure data in addition to rate data for reservoir characterization.
• Analysis remains at the individual well level. It does not offer integration of results from individual wells to create a field-wide analysis.

A new technique called Intelligent Production Data Analysis, IPDA, addresses both of these short-comings. Through an iterative technique, IPDA integrates Decline Curve Analysis, Type Curve Matching, and Numerical Reservoir Simulation (History Matching) in order to converge to a set of reservoir characteristics that is compatible with all three techniques.

Furthermore, once reservoir characteristics are identified through above process, for individual wells in the field, using a unique Fuzzy Pattern Recognition technology the results are mapped on the entire field in order to evaluate reserve estimates, pin-point optimum infill drilling locations, track fluid flow and depletion, remaining reserves and identify under-performer wells.

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