Application of Lame Parameter Direct Inversion in Hydrocarbon Detection of Low-porosity and Low-permeability Reservoirs in N Structure in East China Sea Basin
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摘要: 东海N构造主要目的层为强水动力环境下发育的三角洲平原分流河道砂体。平面砂层分布不连续，横向非均质性强。受埋深压实和成岩作用等影响，储层呈低孔渗特征，岩石物理规律叠置严重。此外，深部地震数据存在缺乏大角度入射信息等问题，落实研究区致密储层流体分布范围对于勘探开发设计部署具有重要意义。本文引入一种基于拉梅参数直接反演的地震流体描述方法，通过实测井数据的岩石物理定性和定量判析，优选流体敏感参数，进而结合拉梅参数的两项AVO模型参数化方程，从叠前道集中分别提取拉梅参数的AVO属性体。然后利用有色反演技术直接提取流体敏感弹性信息，以指导地震流体描述。实例应用表明，该方法的烃检结果与测井解释成果匹配度高，能够有效刻画研究区致密储层流体展布规律，可为新领域油气资源发现提供重要技术支撑。Abstract: The main target layer of the N structure in the East China Sea is a delta subaqueous distributary channel sand body developed under a strong hydrodynamic environment. The distribution of planar sand layer is discontinuous and the lateral heterogeneity is very strong. Under the influence of deep burial compaction and diagenesis, the reservoir is characterized by low porosity and low permeability, and the properties of rock-physics are overlapped seriously. In addition, the lack of large angle information of deep seismic data is a common problem. It is of great importance to implement the fluid distribution range of tight reservoir in the study area for the design and deployment of exploration and development. In this paper, a new method of deep seismic fluid description is introduced based on direct inversion of lame parameters. Through qualitative and quantitative analysis of rock-physics of measured well data, optimal highly sensitive hydrocarbon detection factor is selected. Furthermore, the AVO properties of Lambda parameters are extracted from the pre-stack trace set by combining with the parametric equations of the two AVO models of Lambda parameters. Then, the AVO properties are directly transformed into the interlayer elastic information by using the colored inversion technique. Finally, the seismic fluid sensitive elastic data is obtained to guide the seismic fluid description. The practical application shows that the hydrocarbon detection results of this method are compatible with the logging interpretation achievement, and can effectively describe the low-porosity and low-permeability reservoirs fluid development law of the study area, and can provide important technical support for the discovery of oil and gas resources in new fields.
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Keywords:
- colored inversion /
- rock-physics /
- AVO approximation equation
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图 1 含水砂岩底界面反射系数对比
Figure 1. Comparison of reflection coefficients of the bottom interface of water-bearing sandstone
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图 2 利用拉梅参数直接反演方法进行烃类检测流程图
Figure 2. The flow chart of hydrocarbon detection using lame parameters direct inversion
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图 4 多种弹性参数的流体敏感指示系数
1-AI；2-SI；3-σ；4-ρ；5-K；6-M；7-λ；8-μ；9-λ/μ；10-EEI30°；11-ρλ；12-ρμ。
Figure 4. Fluid sensitivity indicator coefficient for various elastic parameters
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图 7 主力层M1沿层拉梅参数比值 λ/μ 烃类检测平面属性
Figure 7. The plane attribute of λ/μ hydro- carbon detection of main layer M1
表 1 含气砂岩和含水砂岩模型弹性参数
Table 1 Parameters of the sandstone model
地层 Kdry/GPa μ/GPa $\gamma ^2_{{\rm{dry}}}$ $\gamma ^2_{{\rm{sat}}} $ $\rho $/（g/c3） VP/（m/s） VS/（m/s） 含水砂（上层） 3 3 2.32 4.48 1.9 2680 1265 含气砂（下层） 3 3 2.30 3.51 1.7 2520 1345 
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