粘声全波形反演:解决印尼近海高分辨率浅通道吸收的案例研究

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摘要

由于充满气体的浅通道引起的图像失真对速度模型的建立提出了挑战。天然气聚集的慢速度和强吸收导致上覆岩速度和吸收的复杂变化。为了正确成像,速度和质量因子(Q)模型都需要精确估计。全波形反演(FWI)已经建立了高分辨率和高保真的速度模型,但浅通道的Q估计仍然是一个挑战。基于射线的Q层析成像,利用沿反射射线路径的频率相关振幅衰减来估计Q,在不太复杂的区域工作得很好,但由于偏移信息和分辨率有限,在复杂的浅层区域会遇到困难。此外,Q层析成像通常在速度模型建立流程的后期阶段进行,目的是增强最终成像,而不是速度估计,这意味着系统速度误差可能已经存在。在印度尼西亚近海南马哈卡姆地区的案例研究中,从海底到600米处存在多层充满气体的通道,具有明显的速度对比和强吸收。目标储层深度为3.5公里,由于复杂的上覆地质,其深度存在不确定性。我们采用粘声全波形反演(Q- fwi)方法来联合估计速度和Q模型。Q- fwi可以反演浅通道系统的高分辨率速度和Q模型,当使用Q补偿叠前深度偏移(Q- psdm)时,可以提供更好的成像。这些累积的改进有助于提高解释的可信度,降低未来的钻井风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visco-Acoustic Full-Waveform Inversion: A Case Study to Resolve Highresolution Shallow Channel Absorption, Offshore Indonesia
Image distortion due to gas-filled shallow channels poses challenges to velocity model building. The slow velocity and strong absorption from the gas accumulation cause complex velocity and absorption variations in the overburden. Both the velocity and quality factor (Q) models need to be accurately estimated for proper imaging. Full-waveform inversion (FWI) has established its capability for high-resolution and high-fidelity velocity model building, while Q estimation for shallow channels is still a challenge. Ray-based Q tomography, using frequency-dependent amplitude decay along reflection ray paths to estimate Q, works well for less complex areas but struggles in complex shallow areas due to limited offset information and resolution. Moreover, Q tomography often enters at the later stages of the velocity model building flow with the purpose of enhancing final imaging rather than velocity estimation, meaning systematic velocity errors might already exist. In this case study in the South Mahakam area of offshore Indonesia, multiple layers of gas-filled channels with sharp velocity contrasts and strong absorption exist from the water bottom down to 600 meters. The target reservoir, at a depth of 3.5 kilometres, experiences depth uncertainties related to the complex overlying geology. We employed a visco-acoustic full-waveform inversion (Q-FWI) approach to jointly estimate the velocity and Q models. Q-FWI can invert for high-resolution velocity and Q models of the shallow channel system, providing superior imaging when using Q-compensated pre-stack depth migration (Q-PSDM). The cumulative improvements help to increase interpretation confidence and mitigate future drilling risks.
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