利用动态生产数据判断储层非均质性

目前我国大部分油田经历了数十年的生产现已进入高含水开发阶段，部分地区储层非均质性明显，导致油田的开发投资、成本增加，经济、社会效益大大降低。本文通过对储层非均质性与油田生产动态数据之间的相关性进行研究，利用数据相关性原理提出一套全新的判别砂岩油藏储层非均质性的思路方法，运用丼间相关性模型通过动态生产数据快速、准确的判别储层非均质特性。将该方法应用于油田现场，预测结果与实际结果相同，证明了本方法的准确有效。该方法与传统识别储层非均质性的方法相比，无需测试额外数据，方便快捷，简单有效，可以节约大量的研究费用与时间，具有较好的现场应用价值。

The Use of Dynamic Production Data to Determine the Reservoir Heterogeneity

Nowadays, most domestic oil fields have entered the highly water-cut stage after decades of production. The preferential water-flooding path, which is caused by the reservoir heterogeneity is prevalent at this stage leading to an increase in development investment and cost; a decrement of effectiveness, both for economy and society. This essay proposes an innovative way to distinguish the sandstone water reservation by conducting research on the relevance of preferential water-flooding path and dynamic data of oil field via the quick and accurate dynamic data distinguishing of the reservoir heterogeneity generated by telecommunication simulation signals. This method can be applied for oil field, the predicting result of which matches the field test results. The method can therefore be considered as valid. No extra data is needed for this proposed method. Further, it is more convenient, simple, effective in comparison to traditional methods. Research expenses and time can therefore be largely reduced, the onsite application value is promising.