基于交替条件期望的油藏井间连通性定量表征

及时准确地进行油藏井间动态连通性研究是油藏动态评价的重要组成部分,对于油田开发和管理具有重要意义。利用基于交替条件期望算法的非参数回归方法对注水量和产液量动态数据作最佳变换;并在此基础上利用特征参数建立油藏井间动态连通性定量表征指标。提出了一种新的油藏井间动态连通性分析方法;该方法计算简便,便于快速确定井间动态连通性。典型油藏模型验证了该方法的可行性。矿场应用表明,该方法能够方便准确地识别油藏井间动态连通性,指导矿场开发调整措施的制定。

Quantitative Characterization of Dynamic Connectivity of Reservoir Well Based on Alternating Conditional Expectation

A timely and accurate analysis of interwell dynamic connectivity plays a crucial part in reservoir dynamic assessment, and is also important to oilfield development and management. This paper presents a new analysis method of the interwell dynamic connectivity of the reservoir well through the best transfer between the dynamic data of interjection and the liquid production capacity by means of the nonparametric regression algorithm, and a quantitative characterization on the basis of the best transfer and the characterization parameter. This method is simple in computation and can identify the interwell dynamic connectivity quickly, and its feasibility is tested and verified by the typical reservoir well model. It is also shown by its application to oilfield that this method can not only identify interwell dynamic connectivity conveniently and accurately, but also direct the establishment of field development adjustment regulation.