摘要
目前,我国处于开发中后期的油田平均产水率高达80%以上,因此对产层进行评价,确定生产层动态地层参数具有十分重要的意义。通常,压力恢复试井是油藏生产率和地层压力监测的主要方法,但是它需要关井测试,这样,一方面会影响生产甚至由于地层水层间窜流造成停产;另一方面,传统的试井求取的是整个生产井段的平均地层参数。在油藏流动模型分析的基础上,研究了油水生产层地层参数与产液量/吸水量和油井内流压等生产测井资料之间的关系;并根据井下流体渗流理论原理,利用变流量生产测井信息,提出了一种在不关井停产情况下确定每个生产层动态地层参数的方法。该方法克服了油田现场动态监测中,常规测井解释方法无法确定子层动态参数的局限,不但为油藏动态监测开辟了新的途径,而且为油田的合理开发提供了关键参数,是常规生产测井资料应用的有力补充和完善。
In China,oilfields were at the mid-late stage of development with average water production over 80%,it was very important for evaluating production layer and estimating producing parameters in production layers.Usually,a pressure buildup test was the main method for monitoring production rate and reservoir pressure.However,one of the predicaments of traditional well testing was to shut-in,at the one hand,it would induce influence on production or even stop production by formation water channeling,and on the other hand,traditional well test method was used to derive the average formation parameters of the whole producing well-bore.On the basis of reservoir simulation,the relationship between the average formation parameters and fluid production and water adsorption and flowing pressure inside the well were studied,according the fluid percolation theory,and by using the data of variable flow rate,a method is proposed to determine the dynamic formation parameters without shutting-in.The method is used to avoid the limitation of difficult determining the dynamic parameters with conventional logging interpretation method,it provides a new way for dynamic reservoir detection and provides key parameters for rational development,it is an effective supplementation for application of conventional production logging data.
出处
《石油天然气学报》
CAS
CSCD
2012年第7期80-84,7,共5页
Journal of Oil and Gas Technology
基金
湖北省自然科学基金项目(2007ABA077)
中国石油天然气集团公司石油科技中青年创新基金项目(06E1027)
关键词
变流量生产测井
动态地层参数
自适应遗传算法
优化算法
variable flow rate production logging
formation dynamic parameter
adaptive genetic algorithm
optimization algorithm