History matching pressure response functions from production data

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Title: History matching pressure response functions from production data
Author: Ibrahim, Mazher Hassan
Abstract: This dissertation presents several new techniques for the analysis of the long -term production performance of tight gas wells . The main objectives of this work are to determine pressure response function for long -term production for a the slightly compressible liquid case , to determine the original gas in place (OGIP ) during pseudosteady state (PSS ) , to determine OGIP in the transient period , and to determine the effects of these parameters on linear flow in gas wells . Several methods are available in the industry to analyze the production performance of gas wells . One common method is superposition time . This method has the advantage of being able to analyze variable -rate and variable -pressure data , which is usually the nature of field data . However , this method has its shortcomings . In this work , simulation and field cases illustrate the shortcomings of superposition . I present a new normalized pseudotime plotting function for use in the superposition method to smooth field data and more accurately calculate OGIP . The use of this normalized pseudotime is particularly important in the analysis of highly depleted reservoirs with large change in total compressibility where the superposition errors are largest . The new tangent method presented here can calculate the OGIP with current reservoir properties for both constant rate and bottomhole flowing pressure (pwf ) production . In this approach pressure -dependent permeability data can be integrated into a modified real gas pseudopressure ,m (p ) , which linearizes the reservoir flow equations and provides correct values for permeability and skin factor . But if the customary real -gas pseudopressure , m (p ) is used instead , erroneous values for permeability and skin factor will be calculated . This method uses an exponential equation form for permeability vs . pressure drop . Simulation and field examples confirm that the new correction factor for the rate dependent problem improves the linear model for both PSS and transient period , whether plotted on square -root of time or superposition plots .
URI: http : / /hdl .handle .net /1969 .1 /1486
Date: 2005-02-17

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History matching pressure response functions from production data. Available electronically from http : / /hdl .handle .net /1969 .1 /1486 .

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