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第 39 卷 第 1 期                                                                       Vol. 39, No. 1
             2020 年 1 月                          Journal of Applied Acoustics                   January, 2020

             ⋄“全国储层声学与深部钻测技术前沿研讨会”举办十周年 ⋄



                                      五维地震油气识别方法                                  ∗




                                         印兴耀      1,2†  张洪学      1,2  宗兆云     1,2



                                        (1 中国石油大学 (华东) 地球科学与技术学院        青岛   266580)
                                  (2 海洋国家实验室海洋矿产资源评价与探测技术功能实验室                青岛   266071)
                摘要:五维地震流体识别,即利用五维地震资料对复杂储层含流体特征进行识别和描述,为业内研究的前沿和
                重要难题。该文首先从岩石物理机制出发,研究了含流体各向异性储层参数与物性参数的关系,构建了高敏感
                参数的各向异性因子 f        ani ,并验证了该流体因子的合理性以及实用性。其次,利用各向异性反演算法尽可能地
                挖掘五维地震数据中丰富的方位各向异性信息,反演得到用来表征地下流体的各向异性因子,实了现五维地
                震流体识别。实际应用结果表明,基于新的各向异性因子及各向异性反演算法能够稳定可靠地从五维地震数
                据中获取储层流体特征,为五维地震流体识别提供了一套新的理论方法。
                关键词:五维地震流体识别;各向异性因子构建;五维地震资料解释;地震反演
                中图法分类号: P631           文献标识码: A          文章编号: 1000-310X(2020)01-0063-08
                DOI: 10.11684/j.issn.1000-310X.2020.01.008





                              Seismic fluid identification based on 5D seismic data


                                  YIN Xingyao 1,2  ZHANG Hongxue  1,2  ZONG Zhaoyun   1,2

                              (1 School of Geosciences, China University of Petroleum, Qingdao 266580, China)
                   (2 Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology,
                                                    Qingdao 266071, China)

                 Abstract: 5D seismic fluid identification, that is, the use of 5D seismic data to identify and describe the
                 fluid characteristics of complex reservoirs, which is a frontier and important problem in the industry. Firstly,
                 with the rock physics mechanism, the relationship between the anisotropic reservoir parameters and physical
                 parameters is studied, and the anisotropic fluid factor f ani  with high sensitivity parameters is constructed. The
                 rationality and practicability of the fluid factor are verified. Then, the anisotropic inversion algorithm is used
                 to mine the rich azimuthal anisotropy information in the 5D seismic data. The anisotropic fluid factor used
                 to characterize the subsurface fluid is obtained by inversion, and the 5D seismic fluid identification is realized.
                 The practical application results show that the new anisotropic fluid factor and anisotropic inversion algorithm
                 can obtain reservoir fluid characteristics from five-dimensional seismic data stably and reliably, and provide a
                 new theoretical method for 5D seismic fluid identification.
                 Keywords: 5D seismic fluid identification; Anisotropic factor construction; 5D seismic interpretation; Seismic
                 inversion


             2019-07-22 收稿; 2019-11-28 定稿
             国家自然科学基金项目 (U1562215, U1762103), 国家油气重大专项 (2016ZX05024004, 2017ZX05009001, 2017ZX05036005,
             ∗
             2017ZX05032003)
             作者简介: 印兴耀 (1962– ), 男, 浙江宁波人, 教授, 博士生导师, 研究方向: 油气地球物理的教学与研究工作。
             † 通信作者 E-mail: xyyin@upc.edu.cn
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