Optimal development of deepwater slope system reservoirs in Block-14, Angola, requires proper determination of Original Oil in Place, reservoir connectivity, and lateral heterogeneity. The uncertainty on these parameters can be reduced significantly by using high frequency pressure and production data and pressure versus depth profiles acquired while drilling to augment and calibrate pre-existing data from seismic, cores and logs.  The Block-14 Tombua-Landana Drilling and Production Platform was built to develop 8 of these channelized reservoirs, which have different degrees of heterogeneity and net-to-gross ratios.  This variability was recognized early during the development program and resulted in a wide range of initial production rates and different declines.  In response to this, producers were designed with permanent downhole gauges to improve reservoir surveillance capabilities for better determination of well count and optimal placing of producers and injectors.  In addition, real time data integration tools were implemented to facilitate performing real-time dynamic modeling.

Once a well starts operating, downhole and wellhead data are transmitted and stored in a data repository. Well-tests are used to calibrate reservoir-to-surface wellbore models and generate real-time production profiles.  The workflows also capture planned and unplanned shut-ins, used to perform pressure-transient analysis and determine static pressure.  By performing material balance and reservoir simulation modeling we have been able to determine oil in place, quantify the degree of support from offset injectors, assess inter-well connectivity, calibrate and update specific aspects of the geological model and optimize the development plan for each reservoir.  These workflows also contributed to detection of well events such as scaling, sand production, and water breakthrough.

This talk will show examples of surveillance and dynamic modeling for wells in the Tombua-Landana fields and describe how permanent down hole data has improved reservoir management.