journal article·2025-08-20Open access

Acoustic Transmission Characteristics and Model Prediction of Upper and Lower Completion Pipe Strings for Test Production of Natural Gas Hydrate

Benchong Xu, Haowen Chen, Guoyue Yin, Rulei Qin, Jieyun Gao, Xin He

Applied Sciences· Volume 15· Issue 16

Abstract

This study adopts numerical simulation methods to explore the acoustic transmission characteristics of pipe strings in the upper and lower completions of a monitoring system for test production of natural gas hydrate. A finite-element simulation model for acoustic transmission in the pipe string system is established through COMSOL. The sound pressure level attenuation and the sound pressure amplitude ratio are chosen as evaluation indexes. Parametric numerical simulations are carried out to study the effects of the number of tubing cascades and the size of connection joints in the pipe string system on the acoustic transmission characteristics of the pipe string. The Light Gradient Boosting Machine (LightGBM) algorithm is adopted to predict the acoustic transmission characteristic curves of the pipe string. Based on this prediction model, with the maximum transmission distance, maximum sound pressure amplitude ratio, and minimum transmission attenuation as objective functions, the NSGA-II (Non-dominated Sorting Genetic Algorithm-II) optimization algorithm is adopted to obtain the optimal combinations of the pipe string system structure and the transmission frequency. The findings show that within the range of 20–2000 Hz, when the acoustic wave propagates in the column system, the amplitude attenuation caused by structural damping is positively correlated with the transmission distance, and the high-frequency acoustic wave attenuates faster. When the frequency exceeds 500 Hz, the sound pressure amplitude ratio is lower than 0.4, and the attenuation is stabilized at 90% above 1500 Hz. The thickness of the joints has a weak impact on the transmission, while an increase in length raises the characteristic frequency but exacerbates sound pressure attenuation. The LightGBM algorithm has a high prediction accuracy, reaching up to 88.54% and 84.82%, respectively. The optimal parameter combinations (n, hkg, lkg, freq) optimized by NSGA-II provide an optimization scheme for the structure and frequency of acoustic transmission in down-hole pipe strings.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Methane Hydrates and Related Phenomena · Offshore Engineering and Technologies · Spacecraft and Cryogenic Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Tianjin 300000, China

Innovation Base for Automatic and Intelligent Drilling Equipment, Geological Society of China, Tianjin 300000, China

Technology Innovation Center for Directional Drilling Engineering, Ministry of Natural Resources, Tianjin 300000, China

School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China

Funding

Open Research Project of the Innovation Base for Automatic and Intelligent Drilling Equipment, Geological Society of China

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