通过模拟水基泥浆和油基泥浆随温度的流变特性,简化泥浆设计、固井作业设计和整个钻井作业

W. Odiete
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引用次数: 0

摘要

钻井设备租赁成本的增加以及钻井作业期间令人痛苦的停机成本是油气公司关注的主要问题。钻井泥浆的不适当流变特性可能会导致各种问题,包括岩屑输送不足、固体悬浮有限、井眼清洁不良以及过量滤出液流失到地层中。简化泥浆设计、固井作业设计和整个钻井作业将节省钻机时间和相关成本,并促使油气公司的管理层将更多的有用时间和资源投入到作业的其他重要方面。上述情况促使这项工作发明了一种方法,用于开发表示钻井泥浆(水基泥浆和油基泥浆)流变参数的数学模型,以便在实验室无法立即提供服务的紧急情况下预测流变特性。所采用的方法包括实验室测试和数学建模。结果表明,数学模型对水基泥浆和油基泥浆的塑性黏度和屈服应力的预测具有较好的可靠性,其相关系数(r平方值)均大于95%。因此,水基泥浆和油基泥浆的流变特性取决于其组成、理化性质。对于井中每一种泥浆的塑性粘度和屈服应力,应主动建立数学模型,以便在无法立即获得实验室服务的情况下预测其流变参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FACILITATING MUD DESIGN, CEMENTING JOB DESIGN AND THE ENTIRE DRILLING OPERATIONS BY MODELLING THE RHEOLOGICAL PROPERTIES OF WATER-BASED MUD AND OIL-BASED MUD WITH TEMPERATURE
The increasing rental cost of drilling Rig and the associated painful cost of downtime during drilling operations are some of the major concerns of the oil & gas companies. Improper rheological properties of drilling mud may cause a variety of problems including insufficient cuttings transport, limited solids suspension, poor hole-cleaning and excess filtrate loss into the formation. Facilitating mud design, cementing job design and the entire drilling operations will save Rig time and associated cost and prompt management of oil & gas companies to devote more of their useful time and resources to other significant aspects of their operations. The aforesaid prompted this work to invent a method for developing mathematical models representing the rheological parameters of drilling mud (water-based mud and oil-based mud) to enable prediction of the rheological properties in emergency situations where and when Laboratory services are not immediately available. The methods applied include Laboratory testing and mathematical modelling. Results revealed that the mathematical models can be confidently applied to predict the Plastic viscosity and Yield stress of water based mud and oil-based mud as the correlation coefficient (R-squared value) obtained for each of the aforesaid rheological properties was higher than 95% Therefore, as the rheological properties of water-based mud and oil-based mud depend on their composition, physical and chemical properties, mathematical models should be proactively developed for the Plastic viscosity and Yield stress for every mud in hole to enable prediction of the its rheological parameters when and where laboratory services are not immediately available.
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