Abstract：Both thin and very thick reservoirs in the complex water channels are difficult to distinguish and describe efficiently in Gasfield L. To solve this problem, the frequency-division sections of forward signals with and without attenuation and actual seismic data are used to analyze the multi-scale seismic response features of geological bodies, explore the potential of post-stack seismic signals with weak effectiveness. First, the frequency expansion of relative amplitude preserving was utilized to obtain high- and low-frequency seismic data volumes. Then, the Bayesian iterative inversion was conducted on those data step by step to gain the impedance inversion data that could effectively identify large-, medium-, and small-scale geologi-cal bodies. The results are as follows:Low-frequency and high-frequency effective signals are inherently hidden in seismic data, and the low-, medium-, and high-frequency signals can reflect the overall envelope (large scale), the internal structure (medium scale), and the structure details (small scale) of geological bodies respectively. Moreover, frequency-reduction trace integration can effectively increase the identification degree of very thick reservoirs within the scope of relative amplitude preserving. Given the seismic data volu-me constraint of frequency reduction and in-crease, the multi-scale Bayesian inversion could deliever reliableP-wave impedance inversion resultsrepresenting multi-scale geological bodies within effective frequency bands. The practical application has proved the validity of this method.
张亮, 邓海东, 邓勇, 等. LD10区高温高压气藏电阻拟合声波曲线方法研究[J]. 地球物理学进展, 2019, 34(1):412-416.ZHANG Liang, DENG Haidong, DENG Yong, et al. Method of resistivity curve fitting sonic curve in LD10 high temperature and high pressure gas reservoir[J]. Progress in Geophysics, 2019, 34(1):412-416.
[2]
李伟, 岳大力, 胡光义, 等. 分频段地震属性优选及砂体预测方法——秦皇岛32-6油田北区实例[J]. 石油地球物理勘探, 2017, 52(1):121-130.LI Wei, YUE Dali, HU Guangyi, et al. Frequency-segmented seismic attribute optimization and sandbody distribution prediction:an example in North Block, Qinhuangdao 32-6 Oilfield[J]. Oil Geophysical Prospecting, 2017, 52(1):121-130.
[3]
胡滨. 复杂断裂精细解释技术组合及其应用[J]. 石油地球物理勘探, 2019, 54(3):608-616.HU Bin. Multi-technique combination for the complex-fault elaborate interpretation[J]. Oil Geophysical Prospecting, 2019, 54(3):608-616.
[4]
曹丹平, 印兴耀, 张繁昌, 等. 多尺度地震资料联合反演方法研究[J]. 地球物理学报, 2009, 52(4):1059-1067.CAO Danping, YIN Xingyao, ZHANG Fanchang, et al. A study on the method of joint inversion of multiscale seismic data[J]. Chinese Journal of Geophysics, 2009, 52(4):1059-1067.
韩文功, 张军华. 弱反射地震信号特征及识别方法理论研究[J]. 石油地球物理勘探, 2011, 46(2):232-236.HAN Wengong, ZHANG Junhua. Theoretical study on characteristic of weak signal and its identification[J]. Oil Geophysical Prospecting, 2011, 46(2):232-236.
[7]
赵宝银, 陈思远, 陶钰, 等. 应用宽带Ricker子波的期望目标频谱整形[J]. 石油地球物理勘探, 2020, 55(3):541-547.ZHAO Baoyin, CHEN Siyuan, TAO Yu, et al. Spectrum shaping of desired targets based on broadband Ricker wavelets[J]. Oil Geophysical Prospecting, 2020, 55(3):541-547.
[8]
乔凤远, 覃素华, 张宁, 等. 地震低频信息在反演中的作用[J]. 石油地球物理勘探, 2018, 53(增刊2):266-271.QIAO Fengyuan, QIN Suhua, ZHANG Ning, et al. Low-frequency seismic information applied in inversion[J]. Oil Geophysical Prospecting, 2018, 53(S2):266-271.
[9]
廖仪, 刘巍, 马光克, 等. 深水中央峡谷水道璧综合识别[J]. 石油地球物理勘探, 2021, 56(2):332-339.LIAO Yi, LIU Wei, MA Guangke, et al. Study on the recognition of deep water central canyon channel wall in South China Sea[J]. Oil Geophysical Prospecting, 2021, 56(2):332-339.
[10]
李庆忠. 寻找油气的物探理论与方法[M]. 山东青岛:中国海洋大学出版社, 2015, 74-88.LI Qingzhong. Essential Theory and Method of Petroleum Geophysics[M]. China Ocean University Press, Qingdao, Shandong, 2015, 74-88.
[11]
李国发, 彭苏萍, 高日胜, 等. 复赛谱域提取混合相位子波的方法[J]. 天然气工业, 2005, 25(1):85-87.LI Guofa, PENG Suping, GAO Risheng, et al. Me-thod of mixed phase wavelet extraction in cepstrum domain[J]. Natural Gas Industry, 2005, 25(1):85-87.
[12]
朱宝山, 燕利芳, 巨朝晖, 等. 俞氏子波整形反褶积在提高地震资料分辨率中的研究与应用[J]. 工程勘察, 2014, 42(2):92-98.ZHU Baoshan, YAN Lifang, JU Zhaohui, et al. Research and application of Yu wavelet shaping deconvolution to improve the resolution of seismic data[J]. Geotechnical Investigation & Surveying, 2014, 42(2):92-98.
[13]
张明振, 王华忠, 刘福贵. 地震波阻抗反演[C] 寸丹集——庆贺刘光鼎院士工作50周年学术论文集. 1998, 304-322.ZHANG Mingzhen, WANG Huazhong, LIU Fugui. Inversion of seismic wave impedance[C] Cundanji:Symposium of celebrating the 50th anniversary of academician Liu Guangding's work, 1998, 304-322.
[14]
谭明友, 刘富贵, 王立春. 应用道积分剖面解释埕岛油田的砂体[J]. 石油地球物理勘探, 1991, 26(5):650-658.TAN Mingyou, LIU Fugui, WANG Lichun. Interpreting sand body in Chengdao oil field by trace-integral section[J]. Oil Geophysical Prospecting, 1991, 26(5):650-658.
[15]
姚逢昌, 甘利灯. 地震反演的应用与限制[J]. 石油勘探与开发, 2000, 27(2):53-56.YAO Fengchang, GAN Lideng. Application and restriction of seismic inversion[J]. Petroleum Exploration and Development, 2000, 27(2):53-56.
[16]
李绪宣. 莺歌海盆地浅层气藏的地震识别技术研究[J]. 天然气工业, 1999, 19(1):52-57.LI Xuxuan. A research on seismic recognition techniques of the shallow gas reservoirs in Yingehai Basin[J]. Natural Gas Industry, 1999, 19(1):52-57.
[17]
王西文. 相对波阻抗数据体约束下的多井测井参数反演方法及应用[J]. 石油地球物理勘探, 2004, 39(3):291-299.WANG Xiwen. Inversion of multi-logging parameters under constrain of relative wave impedance data vo-lume and application[J]. Oil Geophysical Prospecting, 2004, 39(3):291-299.
[18]
杨千里, 吴国忱. 基于贝叶斯理论的多尺度地震反演方法[J]. 地球物理学进展, 2016, 31(3):1246-1256.YANG Qianli, WU Guochen. Multi-scale seismic inversion method based on Bayesian theory[J]. Progress in Geophysics, 2016, 31(3):1246-1256.
[19]
胡素云, 郭秋麟, 谌卓恒, 等. 油气空间分布预测方法[J]. 石油勘探与开发, 2007, 34(1):113-117.HU Suyun, GUO Qiulin, CHEN Zhuoheng, et al. A method of predicting petroleum resource spatial distribution and its application[J]. Petroleum Exploration and Development, 2007, 34(1):113-117.
[20]
束宁凯, 汪新文, 苏朝光, 等. 准噶尔盆地春风油田浅薄储集层地震逐级精细预测[J]. 石油勘探与开发, 2017, 44(4):561-568.SHU Ningkai, WANG Xinwen, SU Chaoguang, et al. Stepped and detailed seismic prediction of shallow-thin reservoirs in Chunfeng oilfield of Junggar Basin, NW China[J]. Petroleum Exploration and Development, 2017, 44(4):561-568.
[21]
赵谦, 周江羽, 张莉, 等. 利用地震波形-振幅响应技术预测海相碎屑岩岩性组合——以北康盆地为例[J]. 石油地球物理勘探, 2017, 53(6):1280-1289.ZHAO Qian, ZHOU Jiangyu, ZHANG Li, et al. Prediction of marine clastic rocks assemblage with seismic waveform and amplitude responses:an example in Beikang Basin, South China Sea[J]. Oil Geophysical Prospecting, 2017, 53(6):1280-1289.
