FPSO(Floating Production Storage and Offloading)是一种集石油开采、储存、处理和外输功能于一体的海上浮式生产装置。在FPSO项目中,火焰探测系统是保障设施和人员安全的核心之一。本论文聚焦于FPSO中的火焰探测系统以及易熔塞在其...FPSO(Floating Production Storage and Offloading)是一种集石油开采、储存、处理和外输功能于一体的海上浮式生产装置。在FPSO项目中,火焰探测系统是保障设施和人员安全的核心之一。本论文聚焦于FPSO中的火焰探测系统以及易熔塞在其中的应用,深入探讨其技术要求、设计考量及实际应用中的关键要点。分析了传统探测器和易熔塞的利弊,给出一种火焰探测器和易熔塞进行结合的应用方案,基于易熔塞与IR3火焰探测器的双重协同检测系统,解决火炬热辐射干扰问题。该火焰探测系统在旨在为FPSO等海上石油装置的火灾预防与安全保障提供全面的技术支持,确保系统在复杂工况下的可靠性与有效性.展开更多
Due to complex geological structures and a narrow safe mud density window,offshore fractured formations frequently encounter severe lost circulation(LC)during drilling,significantly hindering oil and gas exploration a...Due to complex geological structures and a narrow safe mud density window,offshore fractured formations frequently encounter severe lost circulation(LC)during drilling,significantly hindering oil and gas exploration and development.Predicting LC risks enables the targeted implementation of mitigation strategies,thereby reducing the frequency of such incidents.To address the limitations of existing 3D geomechanical modeling in predicting LC,such as arbitrary factor selection,subjective weight assignment,and the inability to achieve pre-drilling prediction along the entire well section,an improved prediction method is proposed.This method integrates multi-source data and incorporates three LC-related sensitivity factors:fracture characteristics,rock brittleness,and in-situ stress conditions.A quantitative risk assessment model for LC is developed by combining the subjective analytic hierarchy process with the objective entropy weight method(EWM)to assign weights.Subsequently,3D geomechanical modeling is applied to identify regional risk zones,enabling digital visualization for pre-drilling risk prediction.The developed 3D LC risk prediction model was validated using actual LC incidents from drilled wells.Results were generally consistent with field-identified LC zones,with an average relative error of 19.08%,confirming its reliability.This method provides practical guidance for mitigating potential LC risks and optimizing drilling program designs in fractured formations.展开更多
文摘FPSO(Floating Production Storage and Offloading)是一种集石油开采、储存、处理和外输功能于一体的海上浮式生产装置。在FPSO项目中,火焰探测系统是保障设施和人员安全的核心之一。本论文聚焦于FPSO中的火焰探测系统以及易熔塞在其中的应用,深入探讨其技术要求、设计考量及实际应用中的关键要点。分析了传统探测器和易熔塞的利弊,给出一种火焰探测器和易熔塞进行结合的应用方案,基于易熔塞与IR3火焰探测器的双重协同检测系统,解决火炬热辐射干扰问题。该火焰探测系统在旨在为FPSO等海上石油装置的火灾预防与安全保障提供全面的技术支持,确保系统在复杂工况下的可靠性与有效性.
基金supported by the National Natural Science Foundation of China(No.52074312)the CNPC Science and Technology Innovation Foundation(No.2021DQ02-0505)+1 种基金the Open Fund Project of the National Key Laboratory for the Enrichment Mechanism and Efficient Development of Shale Oil and Gas(No.36650000-24-ZC0609-0006)the Major Science and Technology Project of Karamay City(No.20232023zdzx0003).
文摘Due to complex geological structures and a narrow safe mud density window,offshore fractured formations frequently encounter severe lost circulation(LC)during drilling,significantly hindering oil and gas exploration and development.Predicting LC risks enables the targeted implementation of mitigation strategies,thereby reducing the frequency of such incidents.To address the limitations of existing 3D geomechanical modeling in predicting LC,such as arbitrary factor selection,subjective weight assignment,and the inability to achieve pre-drilling prediction along the entire well section,an improved prediction method is proposed.This method integrates multi-source data and incorporates three LC-related sensitivity factors:fracture characteristics,rock brittleness,and in-situ stress conditions.A quantitative risk assessment model for LC is developed by combining the subjective analytic hierarchy process with the objective entropy weight method(EWM)to assign weights.Subsequently,3D geomechanical modeling is applied to identify regional risk zones,enabling digital visualization for pre-drilling risk prediction.The developed 3D LC risk prediction model was validated using actual LC incidents from drilled wells.Results were generally consistent with field-identified LC zones,with an average relative error of 19.08%,confirming its reliability.This method provides practical guidance for mitigating potential LC risks and optimizing drilling program designs in fractured formations.
