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首页> 外文期刊>Journal of Petroleum Exploration and Production Technology >Performance of a modified particle swarm optimization in determining the thickness of the liquid layer outside a well casing pipe
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Performance of a modified particle swarm optimization in determining the thickness of the liquid layer outside a well casing pipe

机译：改进的粒子群算法在确定套管井外液体层厚度方面的性能

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The liquid layer outside a well casing develops from flaws along the cement–casing interface, which have been identified as leakage pathways in wellbores. The thickness of the liquid layer is one of the important parameters for determining cement bond quality. However, it is difficult to accurately determine the thickness of the liquid layer outside a well casing pipe with the traditional ultrasonic pulse echo method. To address this problem, we propose a novel inversion method for determining the thickness of the liquid layer between the casing and the cement sheath. According to test specimens, multi-layered structures are modeled to determine the overall reflected wave at the mud–casing interface. An improved particle swarm optimization algorithm is used to simultaneously inverse the thicknesses of the liquid layer, the casing, and the annular space between the casing and formation. Using synthetic data, this algorithm is more robust and stable when compared with standard particle swarm optimization inversion procedures. In addition, the influences of noise in the reflected wave and deviations of medium parameters on the inversion results of the liquid layer thickness are discussed. Finally, the method was used to determine the thicknesses of the liquid layer in test specimens. Numerical and experimental results demonstrate that the improved particle swarm optimization algorithm provides an effective approach to accurately determine the thickness of the liquid layer outside a well casing pipe.
机译：井套管外的液体层是由沿水泥套管界面的裂缝发展而来的，这些裂缝已被确定为井筒中的泄漏通道。液体层的厚度是确定水泥粘结质量的重要参数之一。但是，利用传统的超声波脉冲回波法难以准确地确定井套管外部的液体层的厚度。为了解决这个问题，我们提出了一种新颖的反演方法，用于确定套管和水泥护套之间的液层厚度。根据试样，对多层结构进行建模，以确定泥浆-套管界面处的总反射波。一种改进的粒子群优化算法用于同时反转液层，套管以及套管与地层之间的环形空间的厚度。与标准粒子群优化反演程序相比，使用合成数据，该算法更加健壮和稳定。此外，还讨论了反射波中的噪声和介质参数的偏差对液层厚度反演结果的影响。最后，该方法用于确定试样中液体层的厚度。数值和实验结果表明，改进的粒子群算法为准确确定套管井外液层厚度提供了有效途径。

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