薄差储层预测技术在葡南油田的应用

葡南油田葡一组油层属薄差储层，用普通波阻抗反演方法难以解决薄砂体识别精度低的问题。在忠买于原始地震反射的波阻抗反演数据体基础上，针对本区自然电位曲线对砂泥岩识别明显、深侧向电阻率曲线对含油性判别较好的特点，结合构造建模、小层精细划分和对比，利用地质统计和建模技术，采用序贯高斯模拟方法并同位协同波阻抗反演结果进行自然电位和深侧向电阻率体的岩性模拟，建立储层岩性预测模型。模拟结果的地质统计特征与原始数据的统计特征相符，用新完钻的18口井对预测结果进行验证，砂体预测厚度符合率达78％，能够较好地解决油田薄砂体储层横向预测难题。

Application of Thin & Poor Reservoir Predicted Technology to the Punan Oilfield

The reservoir of PU-I Formation in the Punan Oilfield is so thin and poor that it is very difficult to solve the question that the distinguished accuracy of the narrow & laminated sandstone is low by inversion of seismic wave impedence. This paper builds predicated model of reservoir lithology integrating geology statistics and modeling technologies, adopting the Gauss continuance simulating methods in virtue of consequences of wave impedence inversion to carry through lithology modeling of natural electric phase body and deep side resistance body, aiming at characteristics of this area, mudstone and sandstone can be recognized obviously by natural electric phase curves and it's easier to distinguish the oil-bearing property of reservoir by means deep side resistance curves, based on the original datum of inversion of seismic wave impedence. The geological statistics characteristic of the simulating consequences match with those of original datum, and the matching rate of predicted thickness of sandstone reaches 78% according to newly drilled 18 wells. It indicates that the predicted problem can be well solved by this technology.