Sand production due to chemical-rock interaction. A review

Peretomode, Ebikapaye; Oluyemi, Gbenga; Faisal, Nadimul Haque

doi:10.1016/j.engfailanal.2022.106745

Cited by 9 publications

(2 citation statements)

References 89 publications

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“…Sand production occurs in a wide range of hydrocarbon reservoirs, both composed of relatively young rocks of the Quaternary period and consolidated reservoirs at the final stages of development (1). Sand-related challenges significantly disrupt the oil production process, since it adversely affects the complex of subsurface and surface equipment and creates difficulties in the operation of wells (2,3).…”

Section: Introductionmentioning

confidence: 99%

Scientific and Methodological Support of Sand Management During Operation of Horizontal Wells

Tananykhin

2024

IJE

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The paper presents a new scientifically based approach for the selection of sand control technology, which is dedicated to enhance the efficiency of the development of unconsolidated reservoirs. Established laboratory and methodological complexes for physical simulating of the sand producing process were analyzed in order to obtain new knowledge and confirm the available theories. All of them have their advantages and disadvantages, but their simultaneous application revealed characteristic dependencies between the sand production and the studied parameter (grain size distribution, pressure drop, clay content, water cut, gas/oil ratio, etc.). Author proposed concepts of mathematical apparatus improvement to increase the quality of assessing the ability of formation fluids to transport particles of different grain size distribution within the formation, as well as in the inner part of tubing. The effect of each of the characterizing factors on suspended solids concertation (SSC) was studied as a result of more than 300 laboratory experiments. According to the observation, there is a sharp decrease in SSC after the first stage (sampling). Thus, the author determined that the main inflow of mechanical impurities occurs during flow stimulation and after shutdowns. In conclusion, author substantiated the method for limiting sand production using polymers with shape memory based on the results of the performed set of tests. Proposed method allows limited passage of particles with diameter less than 50 µm, which creates conditions for noncolmaticity of screen while maintaining geomechanical stability of bottom-hole formation zone.

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Section: Introductionmentioning

confidence: 99%

Scientific and Methodological Support of Sand Management During Operation of Horizontal Wells

Tananykhin

2024

IJE

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“…Usually, they can only predict the beginning of sand production, but not the amount of sand production, which is also very important for the design of a sand production management system. Most of these models only consider one failure mechanism, which is not enough in most cases, so they cannot be applied to all fields [13,14]. These models are limited to simple geometry and boundary conditions, which may not be suitable for real field conditions (such as perforated wells, deviated wells and fractured wells).…”

Section: Introductionmentioning

confidence: 99%

A New Elastoplastic 3D Sand Production Model for Fractured Gas Fields

Liu¹,

Jing²,

Tu³

et al. 2023

Fluid Dynamics &Amp; Materials Processing

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Reservoirs characterized by high temperature, high-pressure, medium high cementation strength, low porosity, and low permeability, in general, are not affected by sand production issues. Since 2009, however, it is known that cases exists where sand is present and may represent a significant technical problem (e.g., the the Dina II condensate gas field). In the present study, the main factors affecting sand production in this type of reservoir are considered (mechanical properties, stress fields, production system, completion method and gas flow pattern changes during the production process). On this basis, a new liquid-solid coupled porous elasto-plastic 3D sand production model is introduced and validated through comparison with effective sand production data. The related prediction errors are found to be within 15%, which represents the necessary prerequisite for the utilization of such a model for the elaboration of sand prevention measures.

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