Evaluation of Optimal Designs for Infill Well Drilling for Water Flood Systems

Description

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Abstract

One of the ways of maximizing recovery from a reservoir is by drilling infill wells. Infill well placement is challenging because many well scenarios must be evaluated when undertaking the optimization program and very often, the variables that affect reservoir performance are nonlinearly correlated with some degree of uncertainty.

Resultantly, the use of stochastic search algorithms has gained wide acceptance in solving problems associated with well placement.

This research seeks to analyze the efficiency of the flood patterns as published by Crawford and to ascertain the efficiency of the peripheral pattern which is not available in literature. Also employed is an efficient optimization tool to solve the well placement problem by identifying the optimum locations for the infill wells.

Particle Swarm Optimization Algorithm (PSA) has proved to be an effective tool in addressing well placement problems, and it was employed in this research as the main optimization algorithm.

Flood pattern analysis was conducted to determine the optimum pattern for the development of the reservoir model built for this study. The first was a homogenous model used to determine the recovery efficiencies of the flood patterns, i.e., 5- spot, inverted 5-spot, 9-spot, line drive, peripheral and staged line drive.

Introduction

The ability of any nation to survive economically depends upon its capacity to produce and manage sufficient supplies of low-cost, safe energy resources like fossil fuels (Isah, 2014).

The world’s consumption of limited fossil fuel resources currently increases annually by 3 percent, with projections in this trend showing that all known reserves will be exhausted in the next 50years (Isah,2014).

Therefore, any sustained attempt to increase the reserves by even as little as 1 percent per annum ensures an effective eternal supply as the world moves slowly towards renewable energy economics. (Callaghan, 1981).

So, as the demands on energy industries to increase profitability and reduce environmental pollution continues, many industries are focusing on improving recovery efficiency and means to increase their reserves of resources to provide attractive solutions to the problem of rising energy demands.

It is clear how improving reserves benefit profitability by considering the cost of energy.

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