概率统计法在页岩气储量静态评估中的应用
Probabilistic method applied to the static evaluation of shale gas reserves
-
摘要: 页岩气赋存于大面积连续分布、低孔超低渗、富含有机质的页岩中,采用大段水平井压裂改造方可获得商业开发,因此地质认识难度大、储量参数和储量计算结果不确定程度大。采用概率统计法,通过储量静态评估模型构建、储量期望曲线分析,对页岩气储量参数、储量的不确定程度提出定量评估方法,较好地解决页岩气储量参数难以确定问题。客观地描述储量及储量分布,为页岩气储量评估、勘探开发规划和部署提供可借鉴方法。Abstract: Shale gas is abundant in widespread continuous organic shale with low porosity and ultra-low permeability.Commercial production is possible after horizontal well fracturing. The above characteristics limit geological understanding, and result in a high uncertainty for reservoir parameters and reserve calculations.We propose a quantitative evaluation method to resolve the uncertainties through a static evaluation model and expectation curve analysis by using a probabilistic method. It offers a better solution for reserve parameters and reserve calculations, and provides a reference method for reserve evaluation, exploration planning and development, and shale gas production.
下载: