Journal of Inverse and Ill-posed Problems
Editor-in-Chief: Kabanikhin, Sergey I.
6 Issues per year
IMPACT FACTOR 2016: 0.783
5-year IMPACT FACTOR: 0.792
CiteScore 2016: 0.80
SCImago Journal Rank (SJR) 2015: 0.583
Source Normalized Impact per Paper (SNIP) 2015: 1.106
Mathematical Citation Quotient (MCQ) 2015: 0.43
A new robust algorithm for solution of pressure/rate deconvolution problem
- Schlumberger Moscow Research, 5A, Ogorodnaya Sloboda lane, Moscow, 101000, Russia. Email: email@example.com
- Department of Petroleum and Natural Gas Engineering, Istanbul Technical University, Buyukdere Caddesi, Maslak, Istanbul, 34469, Turkey. Email: firstname.lastname@example.org
- Schlumberger Riboud Product Centre, Schlumberger, 1, rue Becquerel, Clamart, Paris, 92142, France. Email: email@example.com
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.
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