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 language | English |
|---|---|
| Pages (from-to) | 233-240 |
| Number of pages | 8 |
| Journal | SPE Formation Evaluation |
| Volume | 8 |
| Issue number | 3 |
| DOIs | |
| State | Published - 1993 |
ASJC Scopus subject areas
- Process Chemistry and Technology
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