Sand Control in Corrosive and Erosive Downhole Conditions at High Temperatures

Jackson, Steven R.; Gundemoni, Bhargava Ram; Barth, Peter

doi:10.2118/182278-ms

Cited by 11 publications

(3 citation statements)

References 3 publications

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“…Sand production in oil wells is one of the key problems that plague the safety and efficiency of oil fields. Excessive sand production will cause problems such as wear of the downhole and surface facilities, sand burial in the pay zone, and the reduction in or halting of oil and gas well production [3]. Therefore, effective sand production monitoring technology is key for ensuring oil well safety and long-term production [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigations of Offshore Sand Production Monitoring Based on the Analysis of Vibration in Response to Weak Shocks

Liu

Jia

et al. 2021

Geofluids

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Sand production is a problem that is often encountered in unconventional oil and gas exploitation and that is difficult to effectively solve. Accurate online monitoring of sand production is one of the keys to ensuring the safety and long-term production of oil wells as well as efficient production throughout the life cycle of production wells. This paper proposes a method for monitoring sand production in offshore oil wells that is based on the vibration response characteristics of sand-carrying fluid flow impinging on the pipe wall. This method uses acceleration sensors to obtain the weak vibration response characteristics of sand particles impinging on the pipe wall on a two-dimensional time-frequency plane. The time-frequency parameters are further optimized, and the ability to identify weakly excited vibration signals of sand particles in the fluid stream is enhanced. The difference between the impact response of the sand particles and the impact response of the fluid flow to the pipe wall is identified, and corresponding indoor verification experiments are carried out. Under different sand contents, particle sizes, and flow rates (sand content 0-2‰, sand particle size 96-212 μm, and flow velocity 1-3 m/s), the impact response frequency of sand particles to the pipe wall exhibits good consistency. The characteristic frequency band of sand impacting the pipe wall is 30-50 kHz. A statistical method is used to establish the response law of the noise signal of the fluid. Based on this knowledge, a real-time calculation model of sand production in offshore oil wells is constructed, and the effectiveness of this model is verified. Finally, a field test is carried out with a self-developed sand production signal dynamic time-frequency response software system on 4 wells of an oil production platform in the Bohai Sea. This system can effectively distinguish sand-producing wells from non-sand-producing wells. The dynamic time-frequency response, field test results, and actual laboratory results are consistent, verifying the effectiveness of the method proposed in this paper and further providing a theory for improving the effectiveness of the sand production monitoring method under complex multiphase flow conditions. This study also provides technical guidance for the industrial application of sand production monitoring devices in offshore oil wells.

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Section: Introductionmentioning

confidence: 99%

Experimental Investigations of Offshore Sand Production Monitoring Based on the Analysis of Vibration in Response to Weak Shocks

Liu

Jia

et al. 2021

Geofluids

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“…1. With regards to the problem of screen failure, previous studies (Jackson and Gundemoni, 2016;Islam and Farhat, 2017) claimed that the erosive wear and failure of metal screens under high temperature, high pressure, and corrosion conditions are related to underground fluid velocity, underground acid environment, screen plugging, and other factors and that a corrosive environment aggravates the failure of a screen. A previous study (Hamid and Ali, 1997;Liu et al, 2009; investigated the erosive wear of slotted screens by sand-laden crude oil and concluded that the erosion rate of the slotted screens was mainly influenced by sand-laden slurry velocity, sand-laden slurry concentration, sand particle size, and erosive angle.…”

Section: Introductionmentioning

confidence: 99%

Study on the Erosion of Screen Pipe Caused by Sand-Laden Slurry

Liao

Dong

Niu³

et al. 2020

Journal of Engineering Research is an international, peer-revie

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Screening is one of the main filtration and separation methods for unconsolidated sandstone reservoirs, and the problem of failure of sand control screen, encountered by some sand control wells in early production phase, gives rise to serious sand production in the shaft and influences normal production in the oilfield. In order to analyze the reason for screen failure in sand control wells and the detailed mechanism of the short service cycle of sand control screens, this paper proposes an experimental device, which can simulate sand screen erosion by the sand-laden slurry under underground working conditions and studies the influence of screen type, salinity, sand particle size, sandladen concentration, erosive angle, and other factors on the degree of erosion of screen filtering medium. Based upon experimental results, the current study establishes a model for predicting the service-life of sand control screens. The results showed that the jet velocity, sand-laden concentration, sand particle size, erosive angle, and other factors exhibited an obvious influence on the erosion of screen, while the salinity of formation water exerted an insignificant influence. Under the same conditions, different types of screens presented relatively significant differences in antierosion performance, whereas the anti-erosion performance of the stars screen was found to be superior to that of the metal mesh screen. The results provide some basis for selecting sand control methods, offering guidance about the production systems and predicting the service-life of screens.

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“…Sand production in the oil & gas industry is an issue of major concern to the operators as it often results in mechanical wear of equipment thus causing; serious problems to equipment integrity, severe consequences on hydrocarbon production rate and increased safety concerns. It costs the industry millions of dollars each year to mitigate and repair sand production problems including sand disposal and removal [4]. Therefore, effective sand monitoring is a prerequisite for sustainable hydrocarbon production and is particularly important towards minimising operational risks and cost.…”

Section: Introductionmentioning

confidence: 99%

Optimal design for real-time quantitative monitoring of sand in gas flowline using computational intelligence assisted design framework

Aminu

McGlinchey

Chen

2019

Journal of Petroleum Science and Engineering

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Global demand for oil and gas is still increasing rapidly. The direct consequence of this is the increased operating pressure amid concerns over increasing sand production. According to the Society of Petroleum Engineers (SPE), 70% of the world's hydrocarbon reserves are contained in reservoirs situated on unconsolidated formations. Given the reality of these formations, sand production will certainly be a problem of significant concern particularly during the later life of the fields when they become more 'mature'. However, to monitor sand and optimise its production for improved recovery and safety, life extension and economy of the fields and ensured reliability, the automatic detection and prediction of sand flow characteristic measurements; sand flow rate (SFR), sand concentration (SC), line pressure drop (PD), and gas velocity (GV), has become an important research topic of great interest. Despite this importance, discussion of the topic is still lacking in the literature. This paper proposes a novel and robust architecture of intelligent real-time sand flow characteristic measurement using an acoustic sensor and computational intelligence assisted design (CIAD) framework. It fully incorporates acoustic signal processing and analysis, prediction algorithms and optimisation algorithms in the design. Acoustic features based on acoustic signal processing techniques are extracted to reduce the dimensionality of the acoustic signals. A classical Artificial Neural Network (ANN) is used to model the non-linear relationships between the acoustic signal characteristics and the flow characteristics measurands. In addition, the ANN algorithm adapts its weights and biases using the Grey Wolf Optimiser (GWO) through minimisation of the cost function during the training phase. Preliminary results obtained on a laboratory test rig demonstrate that an acoustic sensor coupled with CIAD may provide simple and robust practical solution to the measurement problem of particle-laden gas flow characteristics in real-time.

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Sand Control in Corrosive and Erosive Downhole Conditions at High Temperatures

Cited by 11 publications

References 3 publications

Experimental Investigations of Offshore Sand Production Monitoring Based on the Analysis of Vibration in Response to Weak Shocks

Experimental Investigations of Offshore Sand Production Monitoring Based on the Analysis of Vibration in Response to Weak Shocks

Study on the Erosion of Screen Pipe Caused by Sand-Laden Slurry

Optimal design for real-time quantitative monitoring of sand in gas flowline using computational intelligence assisted design framework

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