Etracker Debug:
	et_pagename = "Journal of Inverse and Ill-posed Problems|jiip|C|[EN]"
	
        
Jump to ContentJump to Main Navigation

Journal of Inverse and Ill-posed Problems

Editor-in-Chief: Kabanikhin, Sergey I.

6 Issues per year

Increased IMPACT FACTOR 2013: 0.593
Rank 143 out of 299 in category Mathematics in the 2013 Thomson Reuters Journal Citation Report/Science Edition
Mathematical Citation Quotient 2013: 0.51

VolumeIssuePage

Issues

A new robust algorithm for solution of pressure/rate deconvolution problem

E. A. Pimonov1 / M. Onur2 / F. J. Kuchuk3

1Schlumberger Moscow Research, 5A, Ogorodnaya Sloboda lane, Moscow, 101000, Russia. Email:

2Department of Petroleum and Natural Gas Engineering, Istanbul Technical University, Buyukdere Caddesi, Maslak, Istanbul, 34469, Turkey. Email:

3Schlumberger Riboud Product Centre, Schlumberger, 1, rue Becquerel, Clamart, Paris, 92142, France. Email:

Citation Information: Journal of Inverse and Ill-posed Problems. Volume 17, Issue 6, Pages 611–627, ISSN (Online) 1569-3945, ISSN (Print) 0928-0219, DOI: 10.1515/JIIP.2009.038, August 2009

Publication History

Received:
2008-09-07
Published Online:
2009-08-19

Abstract

A new robust algorithm for the pressure/rate deconvolution problem, described by Duhamel's convolution integral, which is a first-kind linear Volterra integral equation, has been developed. A transformation of the convolution integral to a nonlinear one is used to impose explicitly the positivity constraint on the solution. The weighted least-squares method with regularization on the solution by a curvature constraint has been used for computation of the convolution kernel (impulse function or deconvolved pressure) of the system. The algorithm takes into account the errors (or noise) in both the left-hand-side (measured pressures) and flow rate measurements (normally, the time dependent inner boundary condition) of the convolution integral. The solution algorithm also allows one to adjust flow rates and/or the initial reservoir pressure (an initial condition for the solution) during calculations, where both flow rate and the initial pressure may contain some level of uncertainty. For validation of the results of the algorithm, three synthetic examples are presented.

Key words.: First kind Volterra equation; weighted total nonlinear least squares; deconvolution; well test

Comments (0)

Please log in or register to comment.
Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.