地质统计学反演在储层预测中的应用

为了在油气田开发后期得到更加精确的储层预测结果，以大庆油田长垣背斜北部过渡带萨尔图油层为目的层，采用地质统计学反演方法研究地下储层空间发育规律。地质统计学反演结合地震数据横向分辨率与测井资料垂向分辨率，在约束稀疏脉冲反演的基础上，通过马尔科夫链蒙特卡洛模拟和非线性最优化求解的方法开展反演计算。结果表明:针对4~5 m储层，反演预测结果符合率达到95%；针对3~4 m储层，反演预测结果符合率达到90%，反演结果与地下储层发育情况基本一致。地质统计学反演运用地震数据、测井资料以及已有地质认识，能够精确预测厚度5 m以下的储层，为油气田开发后期稳产措施实施、开发方案调整、剩余油储量计算奠定了基础。

Application of geo-statistics inversion in reservoir prediction

In order to get more accurate result of reservoir prediction in the later stage of oil and gas field development，the author takes the Saertu oil layer of Daqing oil field in the Changyuan upper bend as the target layer，and uses the method of geo-statistics inversion to study the spatial distribution of the underground reservoir. The geo-statistics inversion combines the lateral resolution of seismic with the vertical resolution of logging data，and uses Markoff Montecalo simulation and nonlinear optimization method to carry out the inversion calculation based on the constrained sparse pulse inversion. The result shows that the coincidence rate reaches 95% for 4~5 m reservoirs and the coincidence rate reaches 90% for 3~4 m reservoirs. The inversion results are basically consistent with the spatial distribution of underground reservoirs. The geo-statistics inversion uses seismic data，logging data and the existing geological understanding to accurately predict the reservoir that is below 5 m layer. The geo-statistics inversion lays a foundation for the yield of oil and gas，the adjustment of the development plan and the calculation of the remaining oil reserves in the later stage of oil and gas field development.