| 印兴耀,张洪学,宗兆云.五维地震油气识别方法*[J].,2020,39(1):63-70 |
| 五维地震油气识别方法* |
| Seismic fluid identification based on 5D seismic data |
| 投稿时间：2019-07-22 修订日期：2019-12-25 |
| 中文摘要: |
| 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 ，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 |
| 英文摘要: |
| 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 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 |
| DOI：10.11684/j.issn.1000-310X.2020.01.008 |
| 中文关键词: 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 |
| 英文关键词: 5D seismic fluid identification,anisotropic fluid factor construction,5D seismic interpretation, seismic inversion |
| 基金项目:本文受国家自然科学基金 (U1562215, U1762103)、国家油气重大专项课题(2016ZX05024004; 2017ZX05009001; 2017ZX05036005; 2017ZX05032003)联合资助。 |
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