Abstract

Permeability and porosity are essential properties of hydrocarbon reservoirs that are series to compute the production rates and the original hydrocarbon in-place. Permeability and porosity are often specified by the pore size distribution. Knowing pore size distribution along wellbore can greatly help us in determining perforating depth, mud, and cement type, etc. There are several experimental methods for determining pore size distribution such as capillary pressure measurements, but these methods are time and cost consuming. The goal of this study is to analyze repeat formation tester (RFT) data to determine pore size distribution profile along wellbore. By analyzing RFT data, reservoir pressure, fluids density, fluids contact, and capillary pressure were determined. Pore radiuses were calculated from capillary pressure, and pore size distribution was determined from frequency analysis of pore radius. On the other hand, mercury injection experiments were carried out on several core samples, and the results were used to determine pore size distribution from core analysis. At the last step, the pore size distribution obtained from RFT and core analyses was compared. Result of comparison shows acceptable accuracy of RFT pore size distribution.

Highlights

  • The proper description of the pore size distribution (PSD) and the pore structure is significant, because the nature of the pores is highly impressed the mass transfer through the grains (Bacskay et al 2014)

  • This paper presents determination of pore size distribution profile along wellbore using repeat formation tester (RFT) data

  • Several parameters include in capillary pressure (Pc), pore radius, fluids density, depth of water–oil contact (WOC), and at the last step pore size distribution were obtained by analyzing RFT data

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Summary

Introduction

The proper description of the pore size distribution (PSD) and the pore structure is significant, because the nature of the pores is highly impressed the mass transfer through the grains (Bacskay et al 2014). A quantitative characterization of the range of pore sizes in a sample is provided by the pore size distribution (Giesche 2006). One method from variety of experimental techniques is used to measure pore size distribution by depending on the range of the pore sizes that a porous material contains (Mourhatch et al 2011). Chalk et al (2012) determined pore size distribution from challenge coreflood testing by colloidal flow. Martin et al (2007) determined the pore-throat size distribution in plugs by using the centrifuge as a tool. One method from variety of experimental techniques is used to measure pore size distribution by depending on the range of the pore sizes that a porous material contains (Mourhatch et al 2011). Dukhin et al (2013) analyzed pore size and porosity of porous materials by using electroacoustic and high-frequency conductivity. Chalk et al (2012) determined pore size distribution from challenge coreflood testing by colloidal flow. Martin et al (2007) determined the pore-throat size distribution in plugs by using the centrifuge as a tool. Dong et al (2007) exacted

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