Hydrocarbon scale deposits measurements by neutron moderation and capture gamma methods

Abdul‐Majid, Samir; Melaibari, Abdulghani M.; Malki, B.

doi:10.1016/0168-583x(96)00296-0

Cited by 6 publications

(1 citation statement)

References 3 publications

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“…Earlier identification of hydrocarbon deposits within oil pipelines during operation will reduce maintenance costs by minimizing both unnecessary pipe replacements and plant shutdown for inspection [12]. As oil and gas production moves into deeper, colder waters, it becomes increasingly imperative to properly identify wax precipitation conditions and predict wax deposition rates to optimize the design and operation of subsea multiphase production systems [9].…”

Section: Wax Depositonmentioning

confidence: 99%

Computational analysis for wax detection in deepwater pipelines using nuclear techniques

Leite¹,

Lira²,

Rodríguez

2023

Braz. J. Rad. Sci.

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Wax deposition along the extensive oilfield pipelines is a problem that affects the flow assurance. To solve it, one must monitor the wax formation in its initial stage. In this light, nuclear techniques are an effective alternative solution, as they can detect characteristics of materials or substances in an indirect and non-invasive manner. The present work shows a computational model using the MCNP6 (Monte Carlo N-Particle 6) code and the gamma radiation transmission profiling technique to detect different wax thickness. This fact is directly related to the attenuation of the gamma radiation beam when crossing the wax thicknesses.

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Section: Wax Depositonmentioning

confidence: 99%