Optimum Procedures for Calibrating Acoustic Sand Detector, Gas Field Case

Ibrahim, Mohamed; Haugsdal, Torbjoern

doi:10.2118/2008-025

Cited by 9 publications

(13 citation statements)

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“…However, the simple model proposed therein was only amenable for sand particles ranging between 30-120 µm, with the velocity of sand particles assumed to equal that of the fluid. Later, a solution for calibrating clamp-on ultrasonic sand detectors was proposed [21], where the sand amount was quantified based on the initial limit of signal profiling. It adopted an iterative method to reflect the true sand production by marking up the background noise value [21].…”

Section: Pertinent Workmentioning

confidence: 99%

“…Later, a solution for calibrating clamp-on ultrasonic sand detectors was proposed [21], where the sand amount was quantified based on the initial limit of signal profiling. It adopted an iterative method to reflect the true sand production by marking up the background noise value [21]. However, the study was still performed under the assumption that the velocity of sand particles equals that of the fluid.…”

Section: Pertinent Workmentioning

confidence: 99%

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A Reliable and Cost-Effective Sand Monitoring System on the Field Programmable Gate Array (FPGA)

Xiang

Jangjaimon

Madani

et al. 2013

IEEE Trans. Instrum. Meas.

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Sand monitoring gives the benefits of avoiding equipment erosion and production failure in the oil industry. This paper presents the design and implementation of a reliable and cost-effective sand monitoring system for measuring sand production in gas and oil flows in real time. The designed monitoring system involves two acoustic emission (AE) sensors and one Doppler sensor for gauging the sand impaction and the velocity of sand particles in a nonintrusive manner, respectively. It is implemented on a field programmable gate array (FPGA) as a prototype for real-time data acquisition and processing, and evaluated using a testbed pump skid available in our laboratory. Relying on a low-cost FPGA board to integrate all acquisition and processing functionality, our monitoring system can measure the sand production amount on-the-fly reliably with high accuracy, according to our experimental evaluation. It is likely to achieve better accuracy than one without the Doppler sensor. The proposed monitoring system is affordable for wide deployment, given its high accuracy, good resilience to surrounding noise, and low cost (when compared with commercially available systems whose price tags can be some tenfold higher).Index Terms-Acoustic and Doppler measurement, field programmable gate arrays (FPGAs), finite impulse response (FIR) filters, non-intrusive monitoring, prediction models, prototyped systems, real-time data acquisition and processing, regression analyses.

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Section: Pertinent Workmentioning

confidence: 99%

Section: Pertinent Workmentioning

confidence: 99%

A Reliable and Cost-Effective Sand Monitoring System on the Field Programmable Gate Array (FPGA)

Xiang

Jangjaimon

Madani

et al. 2013

IEEE Trans. Instrum. Meas.

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“…Acoustic sand detectors are a valuable tool in oilfield sand management and their various applications have been widely discussed in the literature (Allahar, I., 2003, Balgobin, C., 2005, Ibrahim et. al 2008.…”

Section: Non-intrusive Acoustic Sand Detector Calibrationmentioning

confidence: 99%

Sand Management in Tangguh Big Gas Wells

Warnken¹,

Asri²,

Anantokusumo³

et al. 2013

SPE Asia Pacific Oil and Gas Conference and Exhibition

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Tangguh is a Liquefied Natural Gas (LNG) greenfield development located in Bintuni Bay, Papua Barat, Indonesia. There are fourteen wells that are designed to produce up to 240 MMcf/D per well. Sand and other solids from the reservoir are managed with a comprehensive, holistic strategy to provide operational assurance from the sandface to the processing facility.The Tangguh gas wells are identically completed in the Roabiba formation with seven inch monobore cased-hole perforated completions. Each well flowline is equipped with a dedicated non-intrusive acoustic sand detector and wet gas flowmeter. Well bottomhole pressures are monitored continuously with permanent downhole pressure sensors.Extensive log and core analyses suggested that Roabiba formation competency was sufficient to not require downhole sand control. Similarly, surface processing facilities and flowlines were constructed with a design basis of very low levels of sand and other solids production. Produced liquid yields are low and formation water is not expected until the latter years of field depletion.An integrated sand management strategy has been implemented since pre-startup with an underlying theme of formation sand prevention. Following completion, all wells were methodically cleaned up to remove potential formation drilling damage and other completion related debris. Wells were initially cleaned up to 100 MMcf/D with rig testing equipment and later ramped up to their maximum allowable rate to the permanent production facility.Measured formation sand production is negligible to date. Real-time well performance is monitored continuously and managed with rigorous constraints to minimize potential sand and other solids production. Detection of acoustic signals over a pre-determined limit are investigated and followed up with further action as necessary.

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“…Eq. (1) presents an existing formula for calculating the sand rate using the data from non-intrusive acoustic sensors (Ibrahim and Haugsdal, 2008;Lazarus et al, 2005;Sampson et al, 2002):…”

Section: Introductionmentioning

confidence: 99%

“…The values of Step and trend are obtained from calibration work (Ibrahim and Haugsdal, 2008). The validity of Eq.…”

Section: Introductionmentioning

confidence: 99%

Sand rate model and data processing method for non-intrusive ultrasonic sand monitoring in flow pipeline

Gao

Dang

Nouri

et al. 2015

Journal of Petroleum Science and Engineering

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Optimum Procedures for Calibrating Acoustic Sand Detector, Gas Field Case

Cited by 9 publications

References 0 publications

A Reliable and Cost-Effective Sand Monitoring System on the Field Programmable Gate Array (FPGA)

A Reliable and Cost-Effective Sand Monitoring System on the Field Programmable Gate Array (FPGA)

Sand Management in Tangguh Big Gas Wells

Sand rate model and data processing method for non-intrusive ultrasonic sand monitoring in flow pipeline

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