利用速率瞬态分析法分析未固结砂岩中气井生产率随产量变化的情况

Anand Kumar, Pratik Marandi, Deepak Verma
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摘要

本文的主要目的是论证套管孔砾石充填气井由于井筒基质扰动、快速上豆作业以及如何利用日产量数据(速率和流动压力/温度)分析气井性能和估算就地气量而导致的生产率变化。这项工作包括确定由于井筒基质扰动或未固结砂层中的地下问题而导致的气井问题和生产率变化。这项工作使用的分析方法是速率瞬态分析和压力瞬态分析。此外,还分析了井底温度行为和递减曲线分析,以验证 RTA 得出的结果。RTA 非常适合在油井使用初期(3-6 个月后)确定油井的生产能力,并将随后的油井衰退行为归类为储层枯竭或产能损失(或两者的结合)。通过对诊断图(如流动物质平衡分析图和类型曲线分析图)的解释,可以利用简单的模式识别轻松识别和分类具体的产能问题。我们的研究包括多个气井的现场实例,这些气井位于 KG 近海深水区(水深大于 400 米),采用套管式砾石井组完井。本案例研究表明,可以适当使用 RTA、PTA 和其他底孔参数来确定单井气田的当前 K、变化的表皮和最重要的 GIIP。RTA 可以补充并在一定程度上减少实际估算的误差。确定了与非固结砂相关的井筒基质扰动和砾石层退化等可输送性问题。这些问题已通过流动温度行为得到验证。结果表明,RTA 可以作为一种实用的筛选工具,用于识别表现不佳的油井,并根据剩余储量量化补救措施的潜在效益。本文介绍了 RTA 的一种新应用--作为一种筛选工具,用于诊断表现不佳的油井并估算其最佳生产率。由于以下两个原因,除了最简单的补救措施外,业界往往低估了对生产性能不佳油井的潜在效益:1.性能不佳往往被简单地视为统计现实;2.运营商甚至没有意识到他们的油井性能不佳。在深水区,翻修工作或钻新井的成本非常高。此外,时间对开发项目的经济效益也起着重要作用。如果能够解决这些问题,整个油田的产量改善将产生巨大的经济效益。
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Analyzing Gas Well Productivity Change with Production in Unconsolidated Sandstone Using Rate Transient Analysis
The primary objective of this paper is to demonstrate the changing productivity of the cased hole gravel packed gas wells due to wellbore matrix disturbance, rapid bean up operations and how daily production data (rates and flowing pressures/ temperature) can be used to analyse gas well performance along with estimation of Gas In Place. This work includes the identification of well problems and productivity changes, attributed to wellbore matrix disturbance or sub-surface issues in unconsolidated sands. The analysis method used in this work is Rate Transient Analysis along with Pressure Transient Analysis. Bottom hole temperature behavior and Decline Curve analysis are also analyzed to validate the results captured from RTA. RTA is ideal for establishing a well's productive capability early in its life (after 3-6 months) and categorizing subsequent well decline behavior as either reservoir depletion or productivity loss through time (or a combination of the two). Through interpretation of diagnostic plots, such as the Flowing Material Balance Analysis and Type Curve Analysis plots, specific productivity issues can be easily identified and classified using simple pattern recognition. Field examples from multiple gas wells across KG Offshore Deep Water (Water depth > 400m), completed with cased hole gravel pack, are included in our study. The present case study indicate the apt use of RTA, PTA and other bottom hole parameters to determine current K, changing skin & the most important GIIP of single well gas fields. RTA will supplement and to some extent give the actual estimation with less error. Deliverability issues such as wellbore matrix disturbance and gravel pack degradation associated with unconsolidated sands are identified. The issues has been validated by flowing temperature behavior. Results show how RTA can be used as a practical screening tool, identifying underperforming wells and quantifying the potential benefits of remedial action based on remaining reserves. This paper presents a novel application for RTA - as a screening tool for diagnosing underperforming wells and estimating their optimum producing rates. The industry tends to undervalue the potential benefit of all but the simplest remedial measures for underperforming producing wells for two reasons- 1. Poor performance is often simply accepted as a statistical reality and 2- operators do not even realize that their wells are underperforming. In case of deep water, work over job or drilling new well is a very costly affair. Also, time plays a major role in economics of a development project. If the issue(s) can be resolved, production improvements aggregated field-wide could have tremendous economic implications.
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