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Sand Rate Model and Data Processing Method for non-Instructive Ultrasonic Sand Monitoring in Flow Pipeline
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- Author(s) / Creator(s)
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Sand production is a critical issue during oil and gas production from sandstone reservoirs.
Uncontrolled sand production not only poses the risk of well failure, but also can cause extensive
damage to surface and subsurface facilities such as tubing, pumps, valves and pipelines. In recent
decades, research on sand production has been conducted in several fronts including sanding
prediction, sand monitoring, sand control and wellbore integrity analysis to prevent or alleviate
sand production and its consequences. This paper mainly focuses on acoustic sand monitoring
which produces real-time information that can be used for maximizing the safe production of
hydrocarbon.
We developed a new methodology for processing the acoustic signals based on the kinetic
energy of sand particles in the pipeline. Further, we developed a procedure for identifying and
filtering acoustic noise from unrelated events. We validated the proposed methodology for signal
processing against experimental data. The results indicated that the de-noising algorithm could filter
out the noise from the acoustic data and the model was effective for assessing the sand rate. -
- Date created
- 2015-01-01
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- Type of Item
- Article (Draft / Submitted)