Flow assurance
Subject-matter experts from industry and academia advanced distributed fiber-optic sensing technologies and their implementation in flow measurement during a special session.
This year’s Flow Assurance Technology Focus provides a trio of papers concerning the use of advanced techniques in detection, mitigation, and risk calculation
This study investigates hydrate formation in a water-alternating-gas injection well under water-to-gas and gas-to-water changeover operations.
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The authors of this paper describe a study of magnesian calcite particles forming hard, inhibitor-resistant calcium-carbonate-like deposits and potential mitigation measures. -
Flow assurance effects from slugging and various types of solids deposition during engineering, design, maintenance, and operations still create challenging technical issues needing safe, economical solutions. The recurring long-term mitigation of flow assurance phenomena such as the deposition of wax, erosion, asphaltenes, corrosion, and salt, still demands attention…
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Aramco investigates expanding the use of lasers in the upstream sector of the oil field.
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This case study demonstrates an estimated cost savings of AICD completions in six wells of more than $20 million in capital and operating expenses compared with a more conventional sliding side door completion to manage gas breakthrough.
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This paper is the second of a two-part series. It covers facilities problems caused by iron, injectivity problems caused by iron, and the mitigation of colloidal iron-related problems.
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The difficulty in selling a chemical to aid subsea pipeline flow has been delivering it to the wells.
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An integrated multidisciplinary work flow can improve the assessment of pipeline slugging fatigue for offshore field developments.
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Flow-assurance effects from slug-flow engineering, design, maintenance, and operations technical concerns still create and sustain challenging technical issues requiring safe, economical solutions for both onshore unconventional and offshore conventional production facilities.
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This paper describes a novel control scheme developed and tested on simulation for both hydrodynamic slugging and severe riser-induced slugging for a new facility in Angola.
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In the authors’ study, a machine-learning predictive model—boosted decision tree regression—is trained, tested, and evaluated in predicting liquid holdup in multiphase flows in oil and gas wells.
