首页> 外文期刊>Petroleum exploration and development >Regionalized multiple-point stochastic geological modeling: A case from braided delta sedimentary reservoirs in Qaidam Basin, NW China
【24h】

Regionalized multiple-point stochastic geological modeling: A case from braided delta sedimentary reservoirs in Qaidam Basin, NW China

机译:区域多点随机地质模型研究:以西北柴达木盆地辫状三角洲沉积储层为例

获取原文
       

摘要

Research on the depositional model of a braided delta in Kunbei oilfield, Qaidam Basin, was conducted with a fine geologic study in a dense well network area by combining sedimentary physical simulation to obtain statistical characteristic parameters and allocation relations of plane sedimentary facies units. On this basis, training images in different sedimentary regions of the braided delta were developed for reservoir modeling. In each sub-region, sequential conditional simulation in adjacent regions used different training images with angle revolving and scaling. This simulation succeeded in finely modeling the sedimentary microfacies of the braided delta. This method relaxed the requirement for a stationary training image in multipoint simulation and improved channel continuity as well as portability of the training image. In the fine reservoir description of the Kunbei oilfield, the model results were consistent with practical production and have the potential to guide effective water-flooding development. Effective application demonstrated the feasibility and practicability of the method. This paper presents a new method for accurately characterizing the braided delta using stochastic simulation.
机译:结合沉积物理模拟,获得了柴达木盆地昆北油田辫状三角洲沉积模型的精细地质研究,结合沉积物物理模拟,获得了统计特征参数和平面沉积相单元的分配关系。在此基础上,开发了辫状河三角洲不同沉积区域的训练图像用于储层建模。在每个子区域中,相邻区域中的顺序条件模拟使用角度旋转和缩放的不同训练图像。该模拟成功地对编织三角洲的沉积微相进行了精细建模。这种方法放宽了多点仿真中对固定训练图像的要求,并改善了训练图像的通道连续性和便携性。在昆北油田的精细油藏描述中,模型结果与实际生产相吻合,具有指导有效注水开发的潜力。有效的应用证明了该方法的可行性和实用性。本文提出了一种使用随机模拟准确表征编织三角洲的新方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号