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- W246964191 abstract "In recent years, permanent down‐hole gauge (PDG) has been widely installed in oilfields around the world to monitor the reservoir and well conditions in real time. Continuous monitoring of pressure enables engineers to observe ongoing changes in the well and makes operating adjustments accordingly to enhance oil and gas recovery. Transient pressure monitored by PDG are characterized with long term and high volume data which are inherently noisy, full of variable‐rate superposition and multi‐well interference effects. These effects make the monitoring pressure trends decline or rise and then obscure or distort the traditional flow behavior, which makes the following analysis difficult. This paper has presented a systematic methodology that tackled the issues related to the permanent down‐hole monitoring data, utilizing both the wavelet transform and multi‐well deconvolution techniques. With this developed method, the outlier information in PDG data can be extracted. The variable‐rate superposition and inter‐well interference effects can be removed at the same time. Moreover, hundreds of pressure events i.e. bulidups and drawdowns can be detected and reconstructed to reflect reservoir properties and connectivity across the reservoir. The whole workflow for processing and interpretation of permanent down‐hole monitoring data is proposed in this paper. Field case study is performed to demonstrate these procedures. The study results prove that the developed method works well in processing and interpretation of long‐ term permanent down‐hole monitoring data." @default.
- W246964191 created "2016-06-24" @default.
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- W246964191 date "2013-07-01" @default.
- W246964191 modified "2023-09-25" @default.
- W246964191 title "Processing and Interpretation of Permanent Downhole Monitoring Data" @default.
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