以大庆葡南油田葡333区块为例,采用同位协同随机建模技术,以反应储层含油性的电阻率测井参数作主变量和用地震波阻抗参数作协变量,对储集层的含油砂岩厚度进行了预测。根据对该区块储层下限的认识,提取了各个随机模拟实现的含油砂岩厚度,并以10 m含油砂岩厚度为风险门槛值分析了本区钻井风险。通过对新老钻井的钻遇情况分析表明:应用序贯高斯同位协同模拟方法,协同地震属性数据进行储集层预测的精度较高;利用多个随机模拟实现的差异性评价预测,可以有效地降低钻井风险。

Block Pu 333 of the Punan Daqing Oilfield issued as an example of prediction oil bearing sandstone thickness by the use of collocated co-kriging with resistivity as the primary variable and seismic impedance as the secondary variable.A reservoir cut-off 15 omm-m minimum resistivity and 10m minimum sand thicknesses was used to analysis the drilling risk for each realization.By comparing the result,we can found that collocated co-kriging provided more accurate predictions than other methodologies and compare.