Here Bayes-Krijing estimation technique is studied to predict oil reservoir. The seismic data and the well data are combined in Bayes-Kerijing estimation to predict oil reservoir parameter.
本文提出贝叶斯-克里金估计技术可以将少量精度高的井点数据和大量精度低的地震数据有机结合，充分发挥各种数据的作用，完成对大范围的油藏参数的预测，提高预测精度。
参考来源 - 地下油藏的仿真与预测·2,447,543篇论文数据，部分数据来源于NoteExpress
定井底流压下流量响应所反应出的油藏信息，有助于确定油藏参数。
The reservoir information from flow response on condition of stable bottom hole pressure helps to determine reservoir information.
同时，应用非线性优化技术进行全压力史自动拟合，证明能够有效确定油藏参数。
Meanwhile, applied the nonlinear optimization technology to match automatically in all the pressure history, it is proved that the reservoir parameters can be determined effectively.
油藏模拟的重要环节为建立油藏模型、确定油藏参数、选择模拟器和掌握模拟技巧。
The key of reservoir simulation is to develop reservoir models, determine the reservoir parameters, select optimal simulators and master simulation skills.
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