A Proposed Cone Breakthrough Time Model for Horizontal Wells in Thin Oil Rim Reservoirs

Abstract

Understanding oil rim reservoir production dynamics is critical to successful development of thin oil rims. The interplay of subsurface factors and production constraints determine the dynamics of oil Rim reservoir production. Therefore in this study the impact of a range of sub-surface uncertainty on oil rim recovery was captured by employing the Plackett-Burman Design of Experiment (DOE) technique. The methodology involves a detailed generic oil rim simulation study. By employing the classical numerical reservoir simulation equation, assuming a negligible difference in fluid potential and applying material balance principle, the response surface model or proxy developed for cumulative oil recovery (Np) was combined with the cone breakthrough time equation and forms an integral part of the model. The model was developed for a thin oil column, between 20ft-60ft, sandwiched between a gas cap and aquifer. The results from the model were compared with that gotten from a simulation study which gave reasonable value of cone breakthrough time with its equivalent water cut value. The applicability of the model was tested by predicting the water breakthrough time for some selected major oil rim reservoir with gas cap and Aquifer in Niger-Delta. The proposed model is reliable based on the fact that it captured some major sub-surface uncertainties (11 sub-surface parameters) that influences coning results while most pre-existing model do not. It can as well serve as a quick predictive tool before embarking on detailed reservoir simulation.

Proactive control of cresting in homogeneous oil reservoirs: an experimental study

“…The effluent breakthrough times for the thick-oil and thin-oil rim reservoirs were experimentally measured, approximately 140 and 63 s, respectively. The obtained breakthrough times are in good agreement with analytical, theoretical and numerical simulations using field data, such that the closer the WOC and GOC to the well the faster the effluent(s) breakthrough time(s) at the same oil production rate (Peng and Yeh 1995;Schevchenko 2013;Papatzacos et al 1991;Omeke et al 2010).…”

Correlation for Predicting Water Breakthrough Time in Thin Oil Rim Reservoirs in the Niger Delta

“…In the Niger Delta, coning studies in thin oil rim reservoirs have received limited attention. Available studies by Omeke et al (2010), Onwukwe (2011), Onwukwe et al (2012), Abdulkarim, (2014, among others used generic reservoir models, experimental design and/or response surface approach to develop coning parameters correlation. Unfortunately, this method does not consider the heterogeneity of the reservoir, hence, it leaves these establish correlations' predictions in doubt.…”

A New Model for Evaluation of Horizontal Well in Bottom Water Reservoirs

“…Olugbenga Olamigoke [6] established a recovery model for oil reservoir and used the principle of response surface method to assess the impact on oil and gas recovery for a range of subsurface uncertainty. Omeke J.E [7] established a cumulative oil production model for horizontal well development when the bottom water break through the well. All the models above don't conclude the effect of formation heterogeneity, the existence of barrier and the distribution of remaining oil, all of which will contribute greatly to the development of the reservoir.…”