Evaluation of Over-Pressured Gas Reservoirs: Reserves Estimation to Production Performance - A Case Study

Iqbal Muneez, Mehmood Saad, Hasnain Muhammad, Munawar Qazi, Zafar Jahangeer
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Abstract

Geo-pressured reservoirs are challenging in terms of in-place estimation and maintaining sustained production. Estimation of Gas Initially In-place (GIIP) using P/z from early data shows incorrect estimation and resulted in over-predicting GIIP. Typically, over-pressure gas reservoirs show downward curvature in P/z plot early or slightly delayed depending upon the pool limit and the degree of overpressure. A rapid decline in production also observed in the over-pressured gas reservoirs resulted in low hydrocarbon recoveries. This paper aims for correct GIIP estimation in over pressured gas reservoirs and to better manage and maximize recoveries from the Field. Based on available pressure and production data, two approaches were used in order to estimate the GIIP of the Field. (1) Conventional P/z by using Hammerlindl method (2) Developed analytical model by incorporating rock compressibility value from the Geomechanical SCAL study. The calculation of GIIP from both the methods are somewhat in close agreement as the vital factor of rock compressibility was introduced in GIIP estimation, to cater for the effect of reducing porosity as the pressure drops, resulting in changing storage capacity of the rock. Additionally, consecutive pressure Build-up data history showed reduction in permeability with the time from 9 mD to 0.4 mD. This change in permeability is caused by near wellbore overburden stress increase resulting in rock expansion which in turn reduces/closes pore throats. This manifest as an apparently damaged region causing lower rates and poor recoveries. In this scenario the well would be shut-in at higher abandonment conditions. Basic geo-mechanical parameter of rock compressibility plays an important role in reserves estimation for over-pressured reservoirs. Previous literature and our evaluation suggest that optimum production strategies for such reservoirs are: (1) To produce at lower rates at which drawdown is less than half of prevailing pore pressures. (2) Drill more wells to sustained production while producing at lower rates. Both strategies under optimum conditions would result in uniform depletion and better recoveries. Production performance with time, rapidly decreases as permeabilities reduce due to near wellbore stress sensitive region caused by larger drawdown so a controlled drawdown is recommended.
超压气藏评价:储量估算到生产动态——一个案例研究
地压油藏在现场评估和维持持续生产方面具有挑战性。使用早期数据的P/z估算初始就地天然气(GIIP)显示了不正确的估计,并导致对GIIP的过度预测。根据储层极限和超压程度的不同,超压气藏在P/z曲线上呈现较早或稍晚的向下曲度。在超压气藏中也观察到产量的快速下降,导致油气采收率低。本文旨在对超压气藏进行正确的GIIP估计,从而更好地管理和最大化油田采收率。根据现有的压力和生产数据,采用了两种方法来估计该油田的GIIP。(1)采用Hammerlindl方法进行常规P/z分析;(2)结合岩土力学SCAL研究的岩石压缩系数值建立分析模型。两种方法计算的GIIP有一定的一致性,因为在GIIP估计中引入了岩石压缩性这一重要因素,以适应压力下降导致岩石储集能力变化而降低孔隙度的影响。此外,连续的压力积累数据历史显示,随着时间的推移,渗透率从9 mD下降到0.4 mD。渗透率的变化是由于井筒附近覆盖层应力增加导致岩石膨胀,从而减小/关闭孔喉。这表现为一个明显受损的地区,导致利率下降和复苏乏力。在这种情况下,井将在更高的弃井条件下关井。岩石压缩性基本地球力学参数在超压储层储量估算中起着重要作用。以前的文献和我们的评估表明,这种油藏的最佳生产策略是:(1)以较低的速度生产,使压降小于现行孔隙压力的一半。(2)以较低的产量钻更多的井以维持产量。在最佳条件下,这两种策略都会导致均匀耗竭和更好的回收率。随着时间的推移,由于近井筒应力敏感区较大的压降导致渗透率降低,生产性能会迅速下降,因此建议控制压降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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