Field development decisions must be made despite uncertainties of well performance, subsurface response, equipment failure rate, and downstream demands. The heterogeneity of information and complexity of current hydrocarbon assets implies an iterative approach to identify opportunities, which requires risk and uncertainty management. To accomplish such a challenging goal, it is necessary to estimate requirements for surface facilities while considering both reservoir uncertainties and multiple development scenarios, and their link to the economic model.
Optimizing production operations may involve identifying opportunities for production increase from reservoir, wells, and surface equipment with the minimum effort. In addition, to make robust planning
This paper presents methodologies, technology applications and case-studies for managing risk and uncertainties in the visualization of production scenarios. They are shown examples of multiple reservoir forecasts with wells and surface facilities network models and operational issues, such as well performance, subsurface response, equipment failure rate, and downstream demands.
We show several integration procedures for handling reservoir production uncertainty, well performance, drilling schedule compliance, workover success, and varying surface facility variables, such as availability, uptime, and capacities. The examples shown in this paper permits the visualization of a more realistic short-term asset performance while minimizing requirements in the long-term, minimizing risk and manging uncertainties.