An approach to well placement and production in a green field

Thesis Overview

<p> </p><p><strong>INTRODUCTION</strong></p><p><strong>1.1</strong>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<strong>Statement of Problem</strong></p><p>Reservoir development and well placement have been one of the existing challenges in the petroleum industry over the years. This is because different engineering, geological and economic variables affecting reservoir performance are practically involved.</p><p>More importantly, the decision on how to increase oil recovery and maximize the economic profitability of field development projects is the pivot point. Therefore, an extensive evaluation of certain decision variables such as reservoir properties, production scheduling parameters, type of well, location to drill new wells and an effective technique to obtain the best economic strategies are required. Also, consideration should be given to the spatial distribution of geological and rock properties such as porosity and permeability in order to locate potential hydrocarbon zones for drilling activities. This involves critical evaluation of development strategies to produce the greatest amount of hydrocarbons within the physical and expected economic limits.</p><p>Several techniques have been adopted to achieve efficient reservoir development process which significantly affects the productivity and economic benefits of an oil reservoir. However, the aim of this work is to evaluate the impact of well placement on cumulative oil recovery during the development of a green field.</p><p>In this study, reservoir simulation and spatial based modeling approaches will be used as key evaluating elements for the development of the greenfield oil reservoir to improve its productivity.</p><p><strong>1.2</strong>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<strong>Objectives</strong></p><p>The objectives of this study are to:</p><p>· &nbsp; &nbsp; &nbsp; &nbsp; Use geostatistical methods to distribute the petrophysical properties in building a 3D static model of the reservoir;</p><p>· &nbsp; &nbsp; &nbsp; &nbsp; Find the optimum number, type, and placement of wells required to develop the greenfield.</p><p><strong>1.3</strong>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<strong>Methodology</strong></p><p>The methods to be used include;</p><p>· &nbsp; &nbsp; &nbsp; &nbsp; Build a 3D static model of the green field by</p><p>o &nbsp; Digitization of structural and isopach maps of the A-1 reservoir</p><p>o &nbsp; Estimation and distribution of Porosity, &nbsp;Permeability, and Thickness at all</p><p>locations in the reservoir</p><p>o &nbsp; Estimation of Original Oil in Place (STOOIP)</p><p>· &nbsp; &nbsp; &nbsp; &nbsp; Construction of a 3D dynamic reservoir model</p><p>· &nbsp; &nbsp; &nbsp; &nbsp; Use of the 3D dynamic model to find the optimum number, type, and placement of wells to develop the reservoir.</p><p><strong>1.4</strong>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<strong>Facilities and Resources</strong></p><p>The facilities and resources used for this project include;</p><p>· &nbsp; &nbsp; &nbsp; &nbsp; AUST library and internet facilities</p><p>· &nbsp; &nbsp; &nbsp; &nbsp; Technical and academic expertise of supervisor</p><p>· &nbsp; &nbsp; &nbsp; &nbsp; Structure and Isopach maps of A-1 reservoir</p><p>· &nbsp; &nbsp; &nbsp; &nbsp; Isopermeability map of A-1 reservoir</p><p>· &nbsp; &nbsp; &nbsp; &nbsp; Isoporosity map of A-1 reservoir</p><p>· &nbsp; &nbsp; &nbsp; &nbsp; Computer software programs such as: GIS, SGeMS, Sensor Simulator</p><p><strong>1.5</strong>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<strong>Organization of Report</strong></p><p>This report is organized into five chapters. Chapter one is the introductory chapter giving general information about the entire project. Chapter two gives in-depth information of the study area and reviews relevant literature related to this work. Chapter three places emphasis on data.</p> <br><p></p>