西湖凹陷深层流体性质测井定量识别方法研究

Study about Quantitative Identification of Deep Reservoir Fluid by Logging Method in Xihu Sag

陈现 王付洁 魏锋 王迪 胡文亮 夏瑜

CHEN Xian WANG Fujie WEI Feng WANG Di HU Wenliang XIA Yu

中国石油化工股份有限公司上海海洋油气分公司勘探开发研究院, 上海 200120; 中石化海洋石油工程有限公司上海物探分公司, 上海 201208; 中海石油(中国)有限公司上海分公司, 上海 200335

Institute of Exploration and Development, SINOPEC Shanghai Offshore Oil & Gas Company, Shanghai 200120, China; Shanghai Geophysical Division of SINOPEC Offshore Oilfield Engineering Company, Shanghai 201208, China; Shanghai Branch of CNOOC Limited, Shanghai 200335, China

深部储层特别是低渗储层具有复杂的测井响应特征和流体分布规律，给储层评价研究带来极大的困难，其测井评价的难点在于流体性质识别与饱和度的计算。根据东海西湖凹陷测井、录井响应特征和深层岩心的岩电、核磁联测实验，由实验结果获得了岩电参数与束缚水饱和度模型；利用地层组分分析程序，采用最优化原理计算储层参数；在分区块建立精细模型的基础上，首次在西湖凹陷应用双饱和度法对深层油气层与水层进行识别，取得了较好效果，并初步形成判别标准。在西湖凹陷尝试利用测井资料计算气油比对深部储层流体性质进行识别，并与含气饱和度结合能有效地定量区分油层和气层。这样便可对深层的油层、气层和水层进行很好的识别和区分。

Due to complex logging responses and fluids distribution of deep reservoirs, especially low permeability reservoirs, it is quite difficult to evaluate reservoirs. The logging evaluating difficulties are identification of fluid property and calculation of fluid saturation. Rock-electro parameters and irreducible water saturation model are gained according to logging responses and rock-electro and nuclear magnetic experiments for the deep reservoirs cores in Xihu Sag of East China Sea. Reservoir parameters are calculated by using the principle of optimization through using the analysis program of formation components, and refined models are established for each block. On this basis, double-saturation method has been used for identification of deep oil-gas layer and water layer for the first time, and the effect is preferable and identification standard has been established. The gas-oil ratio calculated by well logging information has been used for the first to identify fluid property of deep reservoirs, and it can effectively distinguish oil layer from gas layer quantitatively combining with gas saturation. Thus, deep oil layer, gas layer and water layer can be well identified and distinguished.

https://doi.org/10.3969/j.issn.1008-2336.2017.01.058