超声兰姆波成像测井在X井套损检测中的应用

Application of Ultrasonic Lamb Wave Logging Tool in Casing Wear Detection of Well X

为解决现有套管损坏(简称“套损”)检测手段存在的精度低、无法评价套管居中度、应用效果欠佳等技术难题,满足渤海油田套损井检测需求,基于脉冲回波和挠曲波成像技术研制超声兰姆波成像测井仪,并建立套损检测和套管居中度分析模型。利用垂直入射探头记录的套管表面反射波及后续共振波进行套损检测与评价,通过直达兰姆波和二界面回波在不同介质中的传播速率差异计算环空水泥环厚度,从而实现套管居中度的分析。超声兰姆波成像测井仪成功应用于曹妃甸油田X井套损检测,为该井的复杂情况处理措施提供了决策依据,成功指导该井的作业。应用表明,超声兰姆波成像测井仪套损检测精度高,可有效满足渤海油田套损检测需求。该仪器还可用于套管环空介质检测、低密度水泥环固井质量评价,可为油田射孔、弃井作业、套管处理等作业方案提供决策依据,推广应用前景广阔。

In order to solve the technical problems existing in casing wear detection methods,such as low accuracy,impossible to evaluate casing centering,poor application effect,etc.and meet the needs of casing wear well detection in Bohai oilfield,based on the pulse echo and flexure wave imaging technology,the ultrasonic Lamb wave imaging logging tool is developed,and the casing wear detection and casing centering analysis model are established.The casing surface reflection and subsequent resonance waves recorded by the vertical incidence probe are used to detect and evaluate the casing wear.The thickness of the annulus cement sheath is calculated by the difference in the propagation rate of the direct Lamb wave and two-interface echo in different media,so as to realize the analysis of the casing centering degree.The ultrasonic Lamb wave imaging logging tool is successfully applied to the casing wear detection of well X in Caofeidian oilfield,which provides a decision-making basis for the complex situation processing measures of the well and successfully guides the operation of the well.The application shows that the casing wear detection accuracy of ultrasonic Lamb wave imaging logging tool is high,which can effectively meet the needs of casing wear detection in Bohai oilfield.The instrument can also be used for casing annulus medium detection and low-density cement sheath cementing quality evaluation,which can provide decision-making basis for oil field perforation,well abandonment operation,casing treatment and other operation schemes,and is of broad application prospects.