computational fluid dynamics
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This paper presents a survey of air/water and air/water/sand flow through circular and triangular pipes to study potential effects of triangular pipe geometry.
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Laboratory formation damage testing is often used to help select optimal drilling and completion fluids, but predicting the overall effect of formation damage on well performance requires further interpretation. Paper SPE 199268 presents a case for use of CFD to upscale laboratory data to quantify that effect.
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A combination of computational-fluid-dynamics and finite-element modeling offers a potentially powerful tool for assessing and diagnosing multiphase-flow-induced vibration problems in hydrocarbon-production piping systems.
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High-fidelity 3D engineering simulations are valuable in making decisions, but they can be cost-prohibitive and require significant amounts of time to execute. The integration of deep-learning neural networks with computational fluid dynamics may help accelerate the simulation process.
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Reducing a separation system’s footprint while increasing separation efficiency is demonstrated in an Oklahoma field trial.
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Because of inherent complexities, understanding the characteristics of perforations in downhole environments is a significant challenge. Perforation-flow laboratories have been used to provide insight into cleanup and productivity mechanisms around perforation tunnels.
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Erosion caused by fine solid particles presents one of the greatest threats to oil and gas flow assurance, consequently affecting material selection and wall-thickness design.
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This paper presents a combined experimental and numerical-modeling study on sand-screen performance. The objective is to develop an improved methodology for optimal sand-screen-aperture selection by addressing some of the limitations present in existing sand-retention tests.
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Why CFD should be part of your separator design? This goal of this goal is to allay any fears about CFD that you may have as a result of flashbacks to university class and a dizzying array of partial-differential equations.
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For engineering design teams, the market downturn is an opportunity to review practices and learn from others who have used hard times to reshape processes through simulation while cutting development time and costs.
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