Performance Prediction of Niger Delta Reservoir BUZA Using Allocation Tool

Abstract

Predicting the performance of reservoirs help engineers to evaluate reserves, carryout development planning which requires thorough understanding of the reservoir characteristics, develop a model that can mimic the physical processes occurring in the reservoir such that forecast can be made with reasonable accuracy. This study used the material balance software, MBAL which is an allocation tool to evaluate the reserves of reservoir Buza and thereafter predictions were carried out on the reservoir. This was achieved by determining the dominant energy in the reservoir, performing non-linear regression on the uncertain parameters and performance predictions to obtain cumulative oil production and recovery factor. The results obtained showed that water injection at an average rate of 22000STB/D was the main energy in the reservoir providing about 68% of the total energy in the system. The recovery forecast at 31/12/2022 will be 42.8% with cumulative oil production of 98MMSTB. These results are necessary and important for reservoir engineers and policy makers in reservoir management.

Sensitivity Analysis of Multiphase Flow in a well Using PROSPER

“…The results show that Dun and Ros original correlation appeared to be the best-fit correlation for the modelled well. Kerunwa and Arharhire [10] modelled well Performance in Niger Delta Reservoir using Tuned Vertical Lift Performance (VLP) Correlation. At reservoir pressure below 2900 psig, the well could not lift the reservoir fluid at the present conditions (250 psig THP, 30%water cut, 2.375" tubing size).…”