速率瞬态分析RTA及其在井连通性分析中的应用:生产驱动油藏综合表征与实例研究

A. Ataei, E. Motaei, Mohammad Ebrahim Yazdi, R. Masoudi, Aamir Bashir
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引用次数: 5

摘要

速率暂态分析(RTA)作为储量估算、油井诊断和生产动态评价的一种行之有效的方法,已在气藏中得到应用。作者已经展示了几个案例研究,展示了生产分析(PA)在天然气和单相油藏储层表征中的应用(Motaei, 2017; Ghanei和Ataei 2017; Ataei 2018)。综合生产分析(IPA)方法将RTA、PTA或物质平衡的可用数据与基本的油藏工程工具相结合,在这些案例研究中效果良好。RTA发现,完成这些作业是基于简单的生产数据分析,使用流动数据,而不是有限的关井数据和不太准确的数据。利用PDG连续监测FBHP,可以评估除渗透率和表皮等常规储层性质外,距离上的干扰和边界。这些方法非常强大,尤其适用于井下压力计(PDG)的高分辨率数据。本文对东南亚海域某气藏的现有生产资料进行了分析。该系统采用了5口高PI井和智能完井技术,并通过PDG和其他监测数据进行了密切监测,以了解生产历史中的接触面移动情况。由于油田的复杂性,采用了不同的生产数据分析方法来了解生产动态。RTA的最新进展使我们能够利用广义伪压力(GPP)将经典的单井分析方法应用于多井和多相流。本案例研究使用了作者先前发表的工作流程(Ghanei和Ataei, 2017)。以某超前含水层多井气田为例,对该技术进行了评价。单井分析估计的连通体积将用于通信和有干扰的一组井。我们还使用了一种简单的油藏建模方法来定义适合生产数据的情景,并可用于预测,这可能会节省研究团队在决定潜在价值和确定主要填充钻井项目目标时的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rate Transient Analysis RTA and Its Application for Well Connectivity Analysis: An Integrated Production Driven Reservoir Characterization and a Case Study
Rate Transient Analysis (RTA) has been used in gas reservoirs as a proven method for reserve estimation, well diagnostic and production performance evaluations. The authors have demonstrated several case studies showing the application of production analysis (PA) for reservoir characterization in gas and single phase oil reservoirs previously (Motaei, 2017, Ghanei and Ataei 2017, Ataei 2018). The adopted method for Integrated Production Analysis (IPA) works well in those case studies after combining the available data from RTA, PTA, or Material balance and basic reservoir engineering tools. The RTA found to be completing those is based on simple production data analysis using flowing data rather than limited shut in and less accurate ones. With benefit of continuous monitoring of FBHP using PDG, it is possible to evaluate the interferences and boundary in distance beside conventional reservoir properties like permeability and skin. These methods were found to be extremely powerful and popular particularly with the high resolution data from pressure downhole gauges (PDG). In this paper we have analyzed the available production data from a gas reservoir in offshore environment in South East Asia. It has been developed with five high PI wells and smart completion and monitored closely with PDG and other surveillance data to understand the contact movement during the production history. Due to the complexity of the field, different methods of production data analysis were used to understand the production performances. The recent advances in RTA allows us to apply the classical single well analysis method to a multiple well and multiple phase flow using Generalized Pseudo Pressure (GPP). The previously published workflow by the authors (Ghanei and Ataei, 2017) is used for this case study. We evaluate this technique for a multi well gas field with advancing aquifer. The connected volumes as estimated by single well analysis will be used for a group of wells which are communicating and have interference. We have also used a simple reservoir modelling approach to define scenarios which fit the production data and can be used for forecasting which can potentially save study teams time when deciding on the potential value and defining the targets of a major infill drilling project.
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