虚拟井技术在油气预测中的应用---以渤中3-2油田中古生代潜山储层为例

For structural traps in deep layers and new work areas without wells, using virtual well technology for fluid detection can initially reduce the exploration risks. Aiming at the Mesozoic-Paleozoic buried hill reservoirs in the Bozhong 3 - 2 oilfield, based on multi-channel seismic lines, this paper constructs virtual well curves through a genetic algorithm, and then conducts post-stack wave impedance inversion. Combined with spectral imaging technology and frequency attenuation attributes, fluid prediction is carried out for the target reservoir. The inversion results show that even without wells, the fluid in the target layer of the buried hill can be well reflected, and the post-stack wave impedance inversion of the virtual well is relatively stable, which can provide a reference for oil and gas exploration in areas without wells.

针对深部层位、新工区等无井地区的构造圈闭,使用虚拟井技术进行流体检测可以初步降低勘探的风险.本文针对渤中3-2油田的中古生代潜山储层,以多道地震测线为基础,通过遗传算法构建虚拟井曲线,进而做叠后波阻抗反演,结合频谱成像技术和频率衰减属性,对目标储层做流体预测.反演结果表明:即使在无井的条件下,潜山目标层的流体也可以得到很好的反映,虚拟井叠后波阻抗反演相对稳定,可以为无井地区油气勘探工作提供参考.