摘要
隔、夹层的发育状况严重地影响着储层非均质性和其中流体的运动,开展隔、夹层的空间分布研究对于储层优势通道的研究和开发方案制定具有一定的指导意义。该文以塔里木盆地东河1油田井区东河砂岩段为例,结合静态地质和生产动态资料,提出了基于动、静模式约束的隔、夹层空间分布综合预测验证方法:从隔、夹层的地质模式出发,借助注采井组的示踪剂实验,从示踪剂是否见效、见效速度等方面进行分析,预测示踪剂实验井组井间的隔、夹层空间展布情况;结合生产曲线特征,对井组的生产动态特征进行分类,探讨隔、夹层分布的地质模式与动态响应模式之间的对应关系,总结了完全不遮挡型、部分遮挡型以及完全遮挡型3类基于动、静模式约束的隔、夹层分布模式。根据总结的对应模式和生产动态特征来分析无示踪剂实验的井组,预测整个研究井区的隔、夹层空间分布,取得较好的效果。
The distribution of interlayers seriously restricted the reservoir heterogeneity and the fluid flow, and the study on it can provide guidance for prediction of preferential flow path and establishment of exploration and exploitation. Donghe sandstone in Donghe-10ilfield, Tarim Basin was investigated systematically as sample by using dynamic and static data, the mode based on which constrained the cross-well prediction. A com- prehensive prediction and verification method for spatial distribution of interlayers based on constraint of dy- namic and static mode was proposed. According to the geological mode, the spatial distribution of the cross- well interlayers in experiment well group was predicted combining with tracer material, which made contribu- tion through analysis of work situation and speed; the production dynamic characteristics of well group were classified on the basis of production curves, the coupling relationship between geological and dynamic response model were discussed, and three main distribution models were summarized, which refers to completely non- block type, partly block type and completely block type. Further, based on the corresponding model and dy- namic production characteristics, the well groups without tracer experiment were analyzed, and the spatial distribution of interlayers in whole well area were thus predicted, which showed good effect.
出处
《西北大学学报(自然科学版)》
CAS
CSCD
北大核心
2016年第6期877-886,共10页
Journal of Northwest University(Natural Science Edition)
基金
国家科技重大专项基金资助项目(2011ZX05009-003)
关键词
东河砂岩
动
静模式约束
动态评价
示踪剂实验
隔
夹层空间分布预测
Donghe sandstone
the dynamic and static constraint
dynamic evaluation
tracer experiment
spatial distribution prediction of interlayers