随钻前视探测中声波偏转聚焦的相控稀疏阵列优化设计方法
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1.电子科技大学自动化工程学院成都611731; 2.中海油田服务股份有限公司油田技术事业部廊坊065201

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TH76TE24

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国家自然科学基金企业创新发展联合基金重点支持项目(U25B20244)资助


novel optimization method for acoustic phased sparse arrays for forward-looking detection ahead of the drill bits while drilling
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1.School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; 2.Welltech Division of China Oilfield Services Limited, Langfang 065201, China

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    摘要:

    深海深地复杂油气藏勘探开发成本高、风险大,将钻井、测井和油藏工程技术融为一体的随钻地质导向钻井技术应用越来越广泛。随钻前视探测能实时“看清”钻头前方的未钻地层构造,是随钻地质导向钻井的核心技术,基于声相控阵的随钻声波前探已成为该领域极具潜力的研究方向。然而,传统均匀线阵在70°~80°大角度波束调控过程中,存在波束宽度展宽、栅瓣干扰及旁瓣过强等固有缺陷,难以满足高精度地质探测的工程需求。针对上述技术瓶颈,提出一种适用于一维声学相控稀疏阵列的新型最小冗余线阵(MRLA)设计方案——改进型混沌模糊离散粒子群混合优化方法(ICFDPSO)。该方法创新性地融合了最小冗余线阵的设计原理与改进型混沌模糊离散粒子群优化算法(PSO)。相较于传统粒子群优化算法,改进后的算法不仅收敛速度更快、全局寻优能力更强,还能实现显著的旁瓣抑制效果(多元阵旁瓣抑制深度可达-19.49 dB),同时有效降低了计算复杂度。通过结合最小冗余线阵设计原理,优化后的阵列主瓣宽度缩减40%,在实现旁瓣均匀抑制的同时,保持了高角分辨率特性。仿真验证、砂岩缩尺模型实验及声学水池测试结果表明,该优化稀疏阵列可实现70°精准波束调控,综合性能显著优于传统均匀线阵——主瓣更窄、旁瓣更低,且水池测试与仿真结果的相对误差仅为6%。该阵列结构紧凑、效能优异,为地质导向钻井中的随钻声波前视探测提供了一种高效、实用的技术途径。

    Abstract:

    The exploration and development of complex oil and gas reservoirs in deep-sea and deep-earth environments are characterized by high costs and substantial risks. Consequently, geosteering while drilling technology, which integrates drilling, logging, and reservoir engineering techniques, has been increasingly adopted in practical applications. Looking-ahead detection while drilling enables real-time visualization of the undrilled formation structures ahead of the drill bit, serving as the core technology of geosteering while drilling. Among various technical approaches, acoustic phased array-based looking-ahead detection while drilling has emerged as a highly promising research direction in this field. However, traditional uniform linear arrays suffer from inherent drawbacks during beam steering at large angles of 70°~80°, including widened beamwidth, grating lobe interference, and excessive sidelobes, which make it difficult to meet the engineering requirements for high-precision geological detection. To address these technical bottlenecks, this study proposes a novel minimum redundancy linear array (MRLA) design scheme for one-dimensional acoustic phased sparse arrays, based on an improved chaotic fuzzy discrete particle swarm optimization (ICFDPSO) hybrid method. This approach innovatively integrates the design principles of MRLA with the improved ICFDPSO algorithm. Compared with traditional particle swarm optimization (PSO) algorithms, the improved algorithm not only achieves faster convergence speed and stronger global optimization capability but also achieves significant sidelobe suppression performance (with a sidelobe suppression depth of up to -19.49 dB for multi-element arrays), while effectively reducing computational complexity. By incorporating the MRLA design principles, the main lobe width of the optimized array is reduced by 40%, achieving uniform sidelobe suppression while maintaining high angular resolution characteristics. Results from simulation validation, scaled sandstone model experiments, and acoustic water tank tests demonstrate that the optimized sparse array enables precise beam steering at 70°, with comprehensive performance significantly superior to traditional uniform linear arrays—featuring narrower main lobes, lower sidelobes, and a relative error of only 6% between water tank test results and simulation data. With its compact structure and excellent performance, this array provides an efficient and practical technical solution for acoustic logging while drilling looking-ahead detection in geosteering drilling applications.

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张伟,何函骋,李志鹏,罗博,李焱骏.随钻前视探测中声波偏转聚焦的相控稀疏阵列优化设计方法[J].仪器仪表学报,2026,47(8):33-48

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  • 在线发布日期: 2026-10-29
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