Wax Deposition in Crude Oil Transport Lines and Wax Estimation Methods

F. Alnaimat, M. Ziauddin, B. Mathew
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引用次数: 2

Abstract

Petroleum industry is one of the major industries serving the energy demands. Flow assurance is essential for providing continuous fuel supply. Wax deposition is the main issue that affects flow assurance or reduces the efficiency of transporting crude oil. As the maintenance cost of repairing and troubleshooting is very high, addressing issues related to flow assurance becomes critical in the petroleum industry. This chapter will explore methods used for reducing, cleaning, and monitoring deposition of wax. Wax dissolved in the crude oil gets crystallized causing accumulation across the pipe walls once the bulk temperature of the crude oil gets lower than wax appearance temperature (WAT). Mechanical, thermal, chemical, and microbial methods highlighting general practice in the industry are discussed in this chapter. Next, the direct techniques providing information about the numerical wax deposition models used along with scientific measurement techniques are emphasized. Later, the indirect measurement techniques are discussed providing information about the external probing and nondestructive techniques to obtain information about wax layer deposition inside the pipe. The role of artificial intelligence and use of fuzzy logic for effective wax prediction or in developing the existing wax numerical models are emphasized in the last section.
原油运输管道中的蜡沉积及蜡质估算方法
石油工业是满足能源需求的主要工业之一。流动保证是提供连续燃料供应的必要条件。结蜡是影响流动保障或降低原油输送效率的主要问题。由于维修和故障排除的维护成本非常高,解决与流动保障相关的问题在石油工业中变得至关重要。本章将探讨用于减少、清洁和监测蜡沉积的方法。一旦原油的体积温度低于蜡的表面温度(WAT),溶解在原油中的蜡就会结晶,并在管壁上堆积。机械、热、化学和微生物方法突出了工业的一般做法,在本章进行了讨论。其次,直接技术提供信息的数值蜡沉积模型与科学测量技术一起使用强调。然后,讨论了间接测量技术,提供了有关外部探测和非破坏性技术的信息,以获得蜡层沉积在管道内的信息。最后一节强调了人工智能和模糊逻辑在有效预测蜡质或开发现有蜡质数值模型中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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