This paper presents a continuous well performance analysis technique that identifies formation damage and/or productivity loss real-time. It also provides insights into expected damage mechanisms enabling successful and efficient stimulation treatments.
The analytical technique recognizes damage patterns at inception. The diagnostics to drive operational decisions are then presented as simple cartesian plots that grant easy access to users of all levels of experience. During initial well ramp-ups, the diagnostic plots can be automated with high frequency data. After reaching target drawdowns, low frequency data provides optimum surveillance.
Case studies from several deepwater Gulf of Mexico wells demonstrate how the technique has been successfully operationalized to eliminate productivity loss, gain early insight into damage mechanisms, and investigate the impact of well interventions. Comparisons with pressure transient analysis and numerical history matching studies with all completion details corroborate the robustness of the method.
Shutting in the wells is not required for the analysis, therefore lost production and additional stress cycles on the completion are eliminated. The analysis also identifies the maximum drawdown limit, thereby helping the operator optimize well performance real-time.