Solution of the Deconvolution Problem in the General Statement / Vasin V. V.,Skorik G. G. // PROCEEDINGS OF THE STEKLOV INSTITUTE OF MATHEMATICS. - 2017. - V. 297, l. 1. - P. S211-S222.

ISSN/EISSN:
0081-5438 / 1531-8605
Type:
Article
Abstract:
The deconvolution problem, which arises in the description of well testing processes, is formulated in the form of a Volterra equation of the first kind with discontinuous input data (the kernel is the flow rate and the right-hand side is the pressure change) characterized by large measurement errors. In addition, the solution of this equation has multiscale behavior in its domain. In this situation, the traditional solution algorithms for Volterra equations, as a rule, do not provide satisfactory results. To solve the problem, we use the variational regularization methods and construct a function basis (a system of exponents), which allows us to take into account in the algorithm all a priori constraints known for the desired solution. As a result, we form a family of approximate solutions that satisfies the conditions of smoothness and exactness required for the interpretation of well tests. For the constructed regularizing algorithms, we formulate convergence theorems and describe the details of numerical implementation.
Author keywords:
deconvolution problem; well test; Tikhonov regularization; method of quasisolutions; system of exponents; a priori constraints
DOI:
10.1134/S0081543817050236
Web of Science ID:
ISI:000410252500023
Соавторы в МНС:
Другие поля
Поле Значение
Month JUL
Publisher MAIK NAUKA/INTERPERIODICA/SPRINGER
Address 233 SPRING ST, NEW YORK, NY 10013-1578 USA
Language English
EISSN 1531-8605
Research-Areas Mathematics
Web-of-Science-Categories Mathematics, Applied; Mathematics
Author-Email vasin@imm.uran.ru skorik@imm.uran.ru
Funding-Acknowledgement Russian Foundation for Basic Research {[}15-01-00629]
Funding-Text This work was supported by the Russian Foundation for Basic Research (project no. 15-01-00629).
Number-of-Cited-References 18
Journal-ISO Proc. Steklov Inst. Math.
Doc-Delivery-Number FG4RG