Using artificial neural nets to identify the well-test interpretation model

  • A. A.U. Al-Kaabi
  • , W. J. Lee

Research output: Contribution to journalArticlepeer-review

65 Scopus citations

Abstract

This paper presents a new approach, based on artificial neural net technology, to identify a preliminary well-test interpretation model from derivative plot data. Artificial neural nets can identify patterns from incomplete and distorted data and also eliminate the need for elaborate data preparation, such as smoothing. -Authors

Original languageEnglish
Pages (from-to)233-240
Number of pages8
JournalSPE Formation Evaluation
Volume8
Issue number3
DOIs
StatePublished - 1993

ASJC Scopus subject areas

  • Process Chemistry and Technology

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