Study of Identification Method of Transient Flow from Permanent
Downhole Pressure Data

doi:10.11885/j.issn.1674-5086.2012.06.01.01

Abstract

Abstract:

The real-time monitoring technology of the downhole conditions with permanent downhole pressure gauge is playing
an important role in improving reservoir and well management. During the interpretation of permanent downhole pressure data，
it is vital to acquire a good well-test result that accurately identifies the beginning time of new transient flow. Due to the large
volume of the collected data by permanent downhole gauge，it is impractical to partition and process these data manually. Based
on wavelet transform module maximum theory and noise-robust differentiator，the identification methods of transient flow from
permanent downhole pressure data are investigated with the synthetic data. The results show that the wavelet transform module
maximum method may not identify some key transient flows，and it is sensitive to the noise. The data must be de-noised before
using this method. But with the noise-robust differentiator，the transient flow can be identified accurately and effectively using
its 2nd derivative. It is robust to noise and can be used to identify the transient flow without data de-noising. The study provides
a new automatic method to process the permanent downhole data.

Key words: permanent downhole pressure data, noise, wavelet transform module maximum, noise-robust differentiator,
transient flow identification

Liu Junrong, Yao Jun, Yu Weiqiang. Study of Identification Method of Transient Flow from Permanent
Downhole Pressure Data[J]. 西南石油大学学报(自然科学版), DOI: 10.11885/j.issn.1674-5086.2012.06.01.01.

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