New Regularization Algorithms for Solving the Deconvolution Problem in Well Test Data Interpretation

Journals Menu

Follow SCIRP

ISSN Print: 2152-7385
ISSN Online: 2152-7393
www.scirp.org/journal/am
E-mail: am@scirp.org

"New Regularization Algorithms for Solving the Deconvolution Problem in Well Test Data Interpretation"
written by Vladimir Vasin, Georgy Skorik, Evgeny Pimonov, Fikri Kuchuk,
published by Applied Mathematics, Vol.1 No.5, 2010

has been cited by the following article(s):

[1]	Quasilosung von Parameteridentifikationsproblem im Banachraum
	Dissertation, 2019

[2]	Quasilösung von Parameteridentifikationsproblemen im Banachraum
	2019

[3]	A Study on Optimization of CBM Water Drainage by Well-Test Deconvolution in the Early Development Stage
	Water, 2018

[4]	РЕШЕНИЕ ЗАДАЧИ ИДЕНТИФИКАЦИИ ПРИ ГИДРОДИНАМИЧЕСКИХ ИСПЫТАНИЯХ СКВАЖИН
	2017

[5]	Solution of the deconvolution problem in the general statement
	Proceedings of the Steklov Institute of Mathematics, 2017

[6]	Решение задачи деконволюции в общей постановке
	2016

[7]	A new technique for solving pressure–rate deconvolution problem in pressure transient testing
	Journal of Engineering Mathematics, 2016

[8]	气动退化图像自适应空域正则化复原
	计算机仿真, 2013

[1]	A Study on Optimization of CBM Water Drainage by Well-Test Deconvolution in the Early Development Stage Water, 2018 DOI:10.3390/w10070929

[2]	Solution of the deconvolution problem in the general statement Proceedings of the Steklov Institute of Mathematics, 2017 DOI:10.1134/S0081543817050236

[3]	A new technique for solving pressure–rate deconvolution problem in pressure transient testing Journal of Engineering Mathematics, 2016 DOI:10.1007/s10665-016-9854-x

Follow SCIRP

Free SCIRP Newsletters

Add your e-mail address to receive free newsletters from SCIRP.

Top