Deconvolution of variable-rate reservoir-performance data using B-splines

被引:17
|
作者
Ilk, D. [1 ]
Valko, P. P. [1 ]
Blasingame, T. A. [1 ]
机构
[1] Texas A&M Univ, Dept Petr Engn, College Stn, TX 77843 USA
关键词
D O I
10.2118/95571-PA
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
We use B-splines for representing the derivative of the unknown unit-rate drawdown pressure and numerical inversion of the Laplace transform to formulate a new deconvolution algorithm. When significant errors and inconsistencies are present in the data functions, direct and indirect regularization methods are incorporated. We provide examples of under- and over-regularization, and we discuss procedures for ensuring proper regularization. We validate our method using synthetic examples generated without and with errors (up to 10%). Upon validation, we then demonstrate our deconvolution method using a variety of field cases, including traditional well tests, permanent downhole gauge data, and production data. Our work suggests that the new deconvolution method has broad applicability in variable rate/pressure problems and can be implemented in typical well-test and production-data-analysis applications.
引用
收藏
页码:582 / 595
页数:14
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