Improved Sand Management Strategy: Testing of Sand Monitors under Controlled Conditions

Author:

Emiliani C. N.1,Lejon K..1,Lindén M..2,Engene J..2,Kvernvold O..2,Packman C..3,Clarke D..4,Haugsdal T..5

Affiliation:

1. Statoil

2. DNV

3. Roxar

4. Cormon

5. ClampOn

Abstract

Abstract Sand production has been a constraint to obtain maximized production rates for a number of years for several Statoil fields in the North Sea, due to issues related to: erosion potential not always easy to assess; safe operations: too many uncertainties related to increased sand production; and limited process handling capacity. Statoil has implemented the Acceptable Sand Rate (ASR), developed together with DNV, as a company strategy for increasing production rates by tolerating sand production within certain limits of maximum allowable sand volume, and maximum allowable erosion in the flow lines and the process system. Although these efforts have resulted in increased production, there is still a way to go to fully utilize the production potential. A key factor with respect to effective sand management is the collaboration and continuous communication among operators and suppliers, and the confidence and methodical approach that engineers and sand monitors’ users should employ supported by a cross disciplinary effort. This paper will present the work carried out jointly by the operator and the suppliers through extensive lab work on the sand monitoring systems available today. The aim of the work is to explore the influence of piping geometry, sand characteristics and fluid/operational conditions on the sand monitors, in a controlled environment, in order to improve their implementation according to the ASR strategy. Instruments, test conditions, CFD analysis, results and conclusions will be described for both acoustic and erosion based monitoring devices.

Publisher

SPE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning for Automated Sand Transport Monitoring in a Pipeline Using Distributed Acoustic Sensor Data;IEEE Sensors Journal;2024-07-15

2. Acoustic Sand Detector Virtual Calibration: Methods and Validation;Day 2 Wed, September 06, 2023;2023-09-05

3. Improving sand flow rate measurement using the wavelet transform and ultrasonic sensors;International Journal on Smart Sensing and Intelligent Systems;2021

4. Erosion–corrosion;Trends in Oil and Gas Corrosion Research and Technologies;2017

5. Sand rate model and data processing method for non-intrusive ultrasonic sand monitoring in flow pipeline;Journal of Petroleum Science and Engineering;2015-10

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