摘要
针对克拉玛依油田二中西区八道湾组砾岩油藏三维地质建模中较多不确定因素,为提高储层建模精度,提出将沉积微相划分同岩石相划分相结合,探索了一套针对洪积扇扇中砾岩油藏三维精细相控随机建模的研究思路和方法,建立了更为准确的储层属性参数模型,可为同类油藏的开发调整及剩余油分布预测提供参考,在实际应用中也取得了较好的效果.
Facies-constrained stochastic modeling is widely applied.There are many uncertain factors in the three-dimentional(3D)geological modeling of the conglomerate reservoir in Badaowan formation of the mid-western Ⅱ block in Kelamayi Oilfield.In order to improve the modeling precision of the reservoir,a fine facies-constrained stochastic modeling method for the proluvial mid-fan conglomerate reservoir is proposed.This method combines the division of sedimentary microfacies with division of lithologic facies,and a more accurate reservoir attribute parameter model is established,which provides a geologic foundation for the development adjustment and remaining oil distribution prediction of the same type of reservoirs.A good result is gained in the application of the method.
出处
《西安石油大学学报（自然科学版）》
CAS
北大核心
2009年第1期17-20,共4页
Journal of Xi’an Shiyou University（Natural Science Edition）
关键词
克拉玛依油田
沉积微相
岩石相
相控随机建模
砾岩油藏
Kelamayi Oilfield
sedimentary microfacies
lithologic facies
facies-constrained stochastic modeling
conglomerate reservoir
