Data-Driven Method Enhancing Wellbore Cleanup Efficiency

Focused on cleaning and priming wellbores, this paper shows how a recently developed cleanup system fosters more efficient operations through a data driven method. The method has been applied to more than 450 wells in China, dramatically raising operation efficiency more than 51%. The method addresses operators’ needs concerning cleanup tool assembly, working fluid, and design protocols. Diagnostic solutions that carrying data to the surface through recorded sensors, by which operators can obtain a nuanced comprehension of wellbore conditions. A suggestion would be recommended, which providing a friendly decision environment. Guided by data-driven decisions, tools and working fluids can be adjusted in subsequent processes. To meet different decision requirements, scrapers and other downhole tools with sensors are optimized, and two types of working fluids are presented. The approach, referred to as flex-cleanup, prioritizes simplicity while offering operators the necessary components to engineer a wellbore faced to specific requirements. It is designed to be adaptable, catering to both minimalistic and intricate needs for completely cleaning. The method's adaptability renders it suitable for operators’ dealing with various types of wellbores, be they vertical or horizontal. Nevertheless, certain factors and conditions further augment the appeal of this solution. For instance, it becomes particularly attractive when faced with challenges posed by traditional complex casing strings, or in scenarios involving both cement milling and casing scraping. It is found that the novel method can dramatically improve operation efficiency. This method to cleanup wellbores presents the industry with an alternative, leading to a reduction in unnecessary procedures, streamlined operations, and decreased equipment deployment, ultimately resulting in shorter operation times and safer working conditions.