Abstract

The purpose of this research work is to comparatively study the oil recovery factor from two major aquifer geometry (Bottom and Edge water aquifer) using water aquifer model owing to the fact that most if not every reservoir is bounded by a water aquifer with relative size content (Most Large). These aquifers are pivotal in oil recovery factor (percent%), Cumulative oil produced (MMSTB) as well as overall reservoir performance the methodology utilized in this study involves; Identification of appropriate influx models were utilized for aquifer characterization. The characterizes of the Niger Delta reservoir aquifer considered include aquifer permeability, aquifer porosity etc. Estimation of aquifer properties is achieved by using regressed method in Material Balance Software (MBAL). This approach involves History Matching of average reservoir pressure with computed pressure of the reservoir utilizing production data and PVT data. The computed pressure from model is history matched by regressing most uncertain parameters in aquifer such as aquifer size, permeability, and porosity. Historic production data was imputed into the MBAL Tank Model, the production data was matched with the model simulation by regressing on rock and fluid parameters with high uncertainty. The match parameters were recorded as the base parameter and other sensitivity on aquifer parameters using the Fetkovich model for the bottom and edge water drive. The average percentage increase in oil cumulative volume was 0.40% in fovour of bottom water drive. Further sensitivity on cumulative oil recovered showed the increase in reservoir size with increasing aquifer volumes increases oil production exponentially in bottom water drive whereas edge water drive increased linearly. Aquifer volume, aquifer permeability showed linear relationship with bottom and edge water drive.

Highlights

  • Petroleum reservoir drive mechanisms are often associated in some form or another with formation waters as most hydrocarbon reservoirs are bounded by water-bearing rocks called aquifers which is a major source of water influx

  • An accurate estimation of water influx into the reservoir is required with the aid of an efficiency aquifer model that can capture the real dynamics of petroleum subsurface system

  • The methodology adopted in this research is to calculate water influx for edge and bottom water drive from pressure history data obtained from a field in The Niger Delta using Fetkovich Steady State Model

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Summary

INTRODUCTION

Petroleum reservoir drive mechanisms are often associated in some form or another with formation waters as most hydrocarbon reservoirs are bounded by water-bearing rocks called aquifers which is a major source of water influx (water encroachment). There are other sources of water movement into the reservoir which includes recharge of the reservoir by surface water from outcrops and water injection from the surface to supplement a weak aquifer [1]. This aquifer maybe larger than the hydrocarbon reservoir that. One of the main reasons is the cost of drilling wells into the aquifer to gain necessary information is often not justified [5] This is reasonable; the uncertainties associated with aquifer properties should be reduced to have an efficient aquifer model

Aims and Objective
Recovery Factor
Classification of Reservoir Aquifer Systems
Outer boundary conditions
Flow Regimes
The Combination-Drive Mechanism
Water Influx Models
Pot aquifer model
Schilthuis’ Steady-State Model
Hurst’s Modified Steady-State Model
MATERIALS AND METHODS
MBAL Modelling
Method Description Historic production data was imputed in to the MBAL
Modelling Assumptions
Reservoir Description
History Matching
Sensitivity Analysis
Aquifer Volume
Size of Reservoir
CONCLUSION

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