Production Monitoring Using Next-Generation Distributed Sensing Systems
- G. Naldrett (Silixa) | C. Cerrahoglu (Silixa) | V. Mahue (Silixa)
- Document ID
- Society of Petrophysicists and Well-Log Analysts
- Publication Date
- August 2018
- Document Type
- Journal Paper
- 496 - 510
- 2018. Society of Petrophysicists & Well Log Analysts
- 7 in the last 30 days
- 220 since 2007
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Distributed fiber-optic sensing, and specifically the introduction of intelligent distributed acoustic sensing (DAS), has gained the attention of production engineers with the promise of a versatile and cost-effective decision-support tool. These systems can either be permanently installed, or temporarily deployed using diverse types of intervention systems.
This article covers the principles of flow allocation using distributed sensing and show how these can be used and combined to identify fluid-entry points, quantify production and identify fluid phases. We will describe the methods used to improve quantitative interpretation from distributed sensing, especially the use of phase-coherent DAS for quantitative measurement of sound speed and its use in analysis of flow velocity and fluid phase.
While early DAS systems were previously limited in their flow-detection thresholds we have recently introduced a new sensing system, bringing a 20dB (100×) improvement in signal-to-noise. This offers a significant improvement in measurement and associated interpretation capability.
Distributed fiber-optic sensors were invented in the 1980s (Hartog, 1983) and introduced into the oilfield in the 1990s. The initial areas of interest, and commercially available technologies, were related to distributed temperature sensors (DTS) and distributed strain sensors (DSS). DTS was applied to leak detection, flow profiling and steamflood-monitoring applications (Smolen and van der Spek, 2003). DSS focused mainly on wellbore integrity, monitoring strain induced on wellbore casings (Li et a., 2004). Some research has also been carried out on the use of DSS systems for distributed pressure sensing, but to date, these have not delivered the required performance and reliability for commercial application.
|File Size||27 MB||Number of Pages||15|