In recent years there has been a significant growth in the number of Permanent Downhole Measurement System (PDHMS) installations in oil and gas fields around the world, as PDHMS prices have been falling steadily and their reliability has also been increasing.
However, the full benefits of this investment can only be realized when it is taken from simple surveillance and monitoring to a source for reservoir characterization. This study assesses the systems and workflows that have been put in place to transform the massive amounts of data, including pressure, flow rate and temperature, into actionable information to improve field development and performance. This study presents a dynamic real-time well testing workflow for utilizing data from from intelligent fields. It discusses the applicability of pressure transient analysis using I-Field data from Permanent Downhole Gauges to characterize reservoir and well performance.
While seeking to develop an efficient workflow for the utilization of the real-time data for pressure transient analysis, the study also seeks to assess the effects of producing time, flow rate simplification, and data interruptions on the reliability of the analysis methods and results.
Actual real-time pressure data from PDHMS, and flow rate data Multi-Phase Flow Meters (MPFM) were used in the analyses, to determine reservoir parameters and evaluate well performance. This study highlights some of the challenges in using real-time data from PDHMS and MPFM. A commercially available software product was used to filter, and manage the real-time data, as well as the modeling and analysis of the test data.