尼日尔三角洲油田交叉翻转断层顶边界的压力瞬态分析

K. K. Ihekoronye, I. P. Nwosu
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引用次数: 0

摘要

压力瞬变分析已广泛应用于油藏系统异常检测。这些异常可能以波峰和与生长断层相关的对偶断层相交的形式出现。对该断层的解释只能通过使用压力瞬态分析来实现。研究工作的目的是分析和测试断层顶、背斜构造深度和近井眼条件,以评价井的产能是受井筒效应(表皮效应+井眼效应)还是受储层整体影响。以尼日尔三角洲的一口井为例,在上下两个量程中进行了一系列的累积测试。在本研究中,采用压力导数方法的计算机辅助设计,将相交断层(角度)模型的压力导数与现场数据相匹配,该模型假设了油藏的特征。根据解译数据的结果,采用非线性回归方法(最小二乘法)进行了模拟。通过回归系数实现模拟数据的解译,为现场数据与模型之间的一致性提供了定量度量。综上所述,从所有结果中选取最佳案例,进行节点分析,通过瞬态分析来诊断该井的流入动态,从而优化油田的采收率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pressure Transient Analysis of an Intersecting Rollover Faulted Crest Boundary in Niger Delta Oil Field
Pressure transient analysis has been extensively applied to detect anomalies in a reservoir system. These anomalies may be presented in the form of an intersection of the crestal and the antithetic fault associated with a growth fault. Interpretation of this fault can only be achieved through the use of pressure transient analysis. The objective of the research work is to analyze and test the faulted crest, depth of the anticline structure and examine the near well bore conditions in order to evaluate whether the well productivity is governed by wellbore effects (skin effects + well bore effect) or the reservoir at large. A case study of a well in the Niger delta is considered with a series of build up test carried out in two intervals of both upper and lower gauge readings. In this study, a computer aided design which uses a pressure derivative approach is used in this work to match the pressure derivative of an intersecting fault (angle) model to the field data, and the model assumes the characteristics of the reservoir. Based on the result of the interpreted data, simulation is done by using a non linear regression method (least square). The simulated data interpreted are achieved through the regression coefficient which provides a quantitative measure of the agreement between field data and the model. In conclusion, the best cases are taken from all the results and a nodal analysis is performed to diagnose the inflow performance of the well through the transient analysis in order to optimize the recovery of the oilfield.
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