Representative Sector Modeling and Waterflooding Performance in Rumaila Oilfield

Abstract

Rumaila supergiant oilfield, located in Southern Iraq has a huge footprint and is considered as the second largest oilfield in the world. It contains many productive reservoirs, some known but without produced zones, and significant exploration potential. A fault divides the field into two domes to the north and south. Mishrif reservoir is the main producing reservoir in the North Rumaila oilfield. It has been producing for more than 40 years and is under depletion. However, it was subjected to water injection processes in 2015, which assisted in recovery and pressure support. Thus, requirements of managing flooding strategies and water-cut limitations are necessary in the next stages of the field life.
 In this paper, sector modeling was applied to a specific portion of the field, rather than full-field modeling, to accelerate history matching strategy and correlate static to dynamic models’ efficiently, with a minimum level of tolerance. The sector was modeled by surrounding with additional grid blocks and two pseudo wells to achieve a good matching with actual available data.
 PVT data were used for fluid modeling of a well contained in the sector, and two rock functions were inserted to the model to achieve acceptable history matching. Twelve wells were considered in this research, two of them were injectors and the remaining are producers. For future performance, some of these wells were subjected to new completion and workover processes for field development and pressure maintenance. The importance of the development plan is to represent a way for field development without new wells to be drilled. This was conducted by adding perforations to some wells, plugging the high water-cut production zones, changing production and injection rates, and converting the producers to injectors.

Optimizing Water Injection Performance by Using Sector Modeling of the Mishrif Formation in West Qurna-1 Oil Field, Southern Iraq

“…Several wells have been added to make the realization of the boundary condition of the model in the south boundary, where the sector model has no flow with northern boundary, eastern and western flanks. Consequently, the simulation model of these grid blocks is represented by true reservoir properties (Shamkhi and Aljawad, 2021). The fourteen wells have been identified into black oil simulator (ECLIPSE-100) to validate the output model, which are (WQ1-XX1 to WQ1-XX17) as a producer well except wells (WQ1-XX6, WQ1-XX14, WQ1-XX16, WQ1-XX12) as injector wells, and (WQ1-XX4, WQ1-XX12, WQ1-XX17) as pseudo wells.…”

Calibrating the Reservoir Model of the Garraf Oil Field

“…So, history matching is a process for calibration that involves adjusting the uncertain parameters of a reservoir model until the model most closely matches the historical field performance [6,7]. Furthermore, the tuned model can predict the reservoir performance under various operating scenarios after the most uncertain reservoir properties have been identified by matching actual reservoir behavior [8,9]. An iterative process should be used to carefully modify the original simulation data to increase the match's quality.…”