[1]刘春生,高其宇,贺昌杰,等.基于地震波形反演的天然气水合物储层物性参数定量表征方法[J].华南地震,2026,46(05):192-199.[doi:10.13512/j.hndz.2026.05.23]
　LIU Chunsheng,GAO Qiyu,HE Changjie,et al.Quantitative Characterization Method for Petrophysical Parameters of Gas Hydrate Reservoirs Based on Seismic Waveform Inversion[J].,2026,46(05):192-199.[doi:10.13512/j.hndz.2026.05.23]
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基于地震波形反演的天然气水合物储层物性参数定量表征方法()

华南地震[ISSN:1006-6977/CN:61-1281/TN]

卷:
46
期数:
2026年05期
页码:
192-199
栏目:
海洋地球物理
出版日期:
2026-09-07

文章信息/Info

Title:
Quantitative Characterization Method for Petrophysical Parameters of Gas Hydrate Reservoirs Based on Seismic Waveform Inversion
文章编号:
1001-8662（2026）05-0192-08
作者:
刘春生; 高其宇; 贺昌杰; 刘晓龙; 闫 兴
陕西延长石油（集团）有限责任公司延长气田采气五厂，西安 710048
Author(s):
LIU Chunsheng; GAO Qiyu; HE Changjie; LIU Xiaolong; YAN Xing
No.5 Gas Production Plant of Yanchang Gasfield, Shaanxi Yanchang Petroleum（Group）Co., Ltd., Xi?an 710048, China
关键词:
地震波形反演; 天然气水合物; 储层物性参数; 定量表征
Keywords:
Seismic waveform inversion;  Gas hydrate;  Reservoir petrophysical parameters;  Quantitative characteriza‐tion
分类号:
P618.11
DOI:
10.13512/j.hndz.2026.05.23
文献标志码:
A
摘要:
物性参数作为衡量储层油气储集能力的核心指标，其精准表征对于储层预测精度提升及资源勘探策略优化具有至关重要的指导意义，鉴于此，提出了基于地震波形反演的天然气水合物储层物性参数定量表征方法。基于原始地震道波形序列提取瞬时振幅特征，并通过叠加特定斜率地震道构建地震反演褶积模型，结合合成地震记录标定，获取振幅归一化波形序列并实施重采样处理，实现地震波形特征的精细化重建。依据垂直入射波在天然气水合物储层界面的反射特性，利用递推反演的方式进行地震波反演，获取储层各界面波阻抗信息，进而递推求解储层介质的纵波速度、横波速度及密度等关键弹性参数。通过岩石物理模型建立弹性参数与物性参数间的定量映射关系，并以此为基础开发梯度提升决策树预测模型，实现对天然气水合物储层孔隙度与渗透率的定量预测。实验验证表明，所提方法可实现储层物性参数的高精度定量表征，其预测结果与测井数据的皮尔逊相关系数（PCC）达0.8以上，预测值与实测值拟合优度显著，展现出优越的定量表征性能。研究有助于更准确地评估天然气水合物储层的资源潜力，为后续的开采方案制定提供关键依据。
Abstract:
Reservoir petrophysical parameters serve as core indicators for evaluating hydrocarbon storage capacity, and their accurate quantitative characterization is of great significance for improving reservoir prediction accuracy and optimizing exploration and development schemes. To address the low prediction accuracy of petrophysical pa‐rameters in gas hydrate reservoirs, this study proposes a quantitative characterization method for reservoir petrophys‐ical parameters based on seismic waveform inversion. First, instantaneous amplitude attributes are extracted from raw seismic trace waveform sequences. A seismic inversion convolution model is established by stacking seismic traces with specified slopes, and amplitude normalization and waveform sequence resampling are performed via syn‐thetic seismogram calibration to achieve the refined reconstruction of seismic waveform characteristics. Second, ac‐cording to the reflection properties of vertically incident waves at gas hydrate reservoir interfaces, recursive seismic waveform inversion is adopted to obtain formation acoustic impedance, based on which key elastic parameters in‐cluding P-wave velocity, S-wave velocity and density are further calculated. Finally, a quantitative mapping relation‐ship between elastic parameters and petrophysical parameters is established using a rock physics model, and a gra‐dient boosting decision tree (GBDT) predictive model is constructed to realize the quantitative inversion and charac‐terization of reservoir porosity and permeability. Field verification results demonstrate that the Pearson correlation coefficient (PCC) between the petrophysical parameter predictions of the proposed method and field logging data is greater than 0.8. The predicted values are highly consistent with measured data, verifying the superior quantitative characterization accuracy of the method. The research findings can realize the refined assessment of resource poten‐tial for gas hydrate reservoirs, and provide theoretical basis and data support for reservoir evaluation and exploita‐tion design.

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备注/Memo

备注/Memo:
收稿日期：2025-10-08
作者简介：刘春生（1976-），男，高级工程师，主要从事天然气地质研究。E-mail: zzwxst@163.com
更新日期/Last Update: 2026-09-20