多矿物处理方法在北美页岩油气藏测井评价中的应用

Application of multi-mine soft model in a shale oil &gas reservoir logging evaluation

页岩油气储层与常规油气储层、泥质或灰质围岩的测井响应特征不同,通常呈高自然伽马、高中子孔隙度、高电阻率、高纵波时差、低体积密度和低光电吸收截面指数等特征。页岩油气储层较常规油气储层的岩石物理体积模型复杂,仅仅利用常规测井资料进行评价精度较低。为此,本文以美国德克萨斯州南西湾(Western Gulf)盆地的页岩储层F为例,综合利用常规测井与自然伽马能谱测井,建立了多矿物体积模型,采用最优化方法,利用多矿物处理模块对该页岩油气层进行处理,得到了地层岩性剖面、孔隙度、含水饱和度及总有机碳含量等参数,探讨了页岩油气储层参数测井评价方法,取得了较好的处理效果。

Logging response characteristics in shale oil & gas reservoirs are different from that in conventional reservoirs,mudstones and calcareous rocks. Shale oil & gas reservoirs usually have the response characteristics of high natural gamma,high compensated neutron,high resistivity,high compressional wave slowness,low bulk density and low photoelectric absorption index.And their rock physical volume models are more complex than that of conventional reservoirs.Using conventional well logging data the accuracy of reservoir parameter interpretation cannot be good.In this paper,an optimized approach from multi-mine soft model is applied to calculate mineral volumes,porosity, water saturation and total organic content through jointly using conventional logging and elemental capture spectroscopy logging data and establishing the mineral volume model.We also discuss evaluation methods of shale oil &gas reservoir parameter and these parameters are important in the evaluation of shale oil &gas reservoir.