地震数据预测储层物性参数是地震储层预测的核心内容. 传统上, 地震反演预测储层参数通过
间接方法实现, 会带来极大的不确定性和累计误差, 降低储层参数的预测精度 …

Fluid identification using seismic data is critical for the characterization of hydrocarbon
reservoirs. Poroelastic behaviors associated with wave-induced fluid flow allow for …

Pore pressure serves as an important driving power for subsurface fluid migration and
therefore has a significant impact on gas accumulation and enrichment in tight sandstone …

Prediction of reservoir physical parameters by seismic data is the core content of seismic
reservoir prediction. Traditionally, the prediction of reservoir parameters by seismic inversion …

Geofluid identification from seismic data are crucial for understanding reservoir
characteristics. However, fluid indicators based on elastic parameter combinations show …

Tight sandstones produce an increasing amount of natural gas worldwide. Apart from
identifying the gas enrichment, the predictions of lithology and permeable zones are crucial …

The inversion of thin-bed reservoirs using seismic data is important for precise reservoir
prediction. Most of the current thin-bed reservoir inversion methods are constrained by …

Poisson's ratio is a crucial parameter for reservoir identification and the evaluation of
hydrocarbon-bearing characteristics. However, due to various assumptions that are hard to …

摘要储层孔隙度, 泥质含量及流体类型估测是地球物理勘探的重点及难点问题.
基于岩石物理理论及等效模型, 可以构建油气储层反射特征与储层孔隙度 …

Estimating gas enrichments is a key objective in exploring sweet spots within tight
sandstone gas reservoirs. However, the low sensitivity of elastic parameters to gas …