The current oil business panorama demands for cost effective and efficient methods for well surveillance and production monitoring optimization. The integration between traditional technologies such as PLT and geochemistry fingerprint with innovative technologies such as tracers (both interwell and intrawell) and/or Fiber Optic (in both its temperature and acoustic deployments), is a requisite for fluid movement surveillance. This strategy is fundamental, especially if field developments are based on long horizontal drains, deep waters/extreme well paths, multilateral wells, ESPs and subsea clusters where the risk of tool stack is high, the borehole access is limited and the monitoring activities are very expensive.
In Eni, the integration of intrawell tracers with permanent Fiber Optic system, wireline logs, inter-well tracers and geochemical fingerprint is considered a successful and comprehensive approach for field/well management and production optimization.
The proposed 4 case studies prove, with their high quality data availability and interpretation, how the information collected in this way can be the turning point for a long-period reservoir monitoring during clean up, steady state and re-start stages leading to a more specific intervention and management at well and field levels.
Reservoir surveillance is a critical part of reservoir management. It is aimed at risk minimization by proactively identifying and fixing problems encountered during completion and production by means of different technologies. Information derived from reservoir surveillance is a key factor in taking important decisions associated with optimizing total recovery from the field. Fluid movement monitoring is one of the purposes of reservoir surveillance to understand where oil comes from and how much and where water breakthrough occurs. The monitoring can be done through traditional technologies such as PLT and Geochemistry and innovative technologies such as Fiber Optic as Distributed Temperature Sensing (DTS) and Distributed Acoustic Sensing (DAS), Tracers and Advanced Logging (Spectral Noise Logging). Integration between different technologies could improve the reservoir knowledge.
The aim of this paper is to show the possible benefits associated with the installation of downhole chemical tracers directly along the completion and integrated with the data coming from the other technologies. This can improve reservoir behavior monitoring, completion strategy verification and field management saving, at the same time, costs.
