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Optimising Horizontal Coal Seam Gas Wells by Combining Reservoir Simulation and Transient Well Modelling

机译:通过结合储层仿真和瞬态井建模优化水平煤层气井

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In 2017,APLNG drilled the first horizontal wells within the Surat Basin targeting the Walloon coal seam gas(CSG)measures. This reservoir is quite shallow with the potential for relatively low pressures. To address this uncertainty,a study was performed to identify an optimum operational strategy to maximise the cumulative gas production of a well over the first five years of production. This was achieved by using a Latin Hypercube sampler and a Genetic Algorithm optimiser to identify optimum reservoir simulation scenarios. The optimized simulation scenarios were then modelled within a multiphase transient simulation model,to better understand the flow regime behaviour within the wellbore. This predicted the flowing potential of the well whilst modelling flow assurance risks such as wellbore slugging. The result was an innovative workflow that identified optimum operational strategies whilst accounting for the uncertainties in reservoir pressure and the fluid hydraulics in the wellbore. After completing the reservoir optimisation studies,the optimised cumulative gas production showed increases between 3% – 6% compared to the base case. Other improvements included;higher peak gas production,higher peak water production resulting in earlier desorption of gas,shorter time to initial gas,and shorter time to peak gas. After running the optimised reservoir simulation cases through the transient models,it was found that the days to peak gas was reduced by 80-90%,whilst the slugging periods were reduced by 90-100%. The models were also used to quantify the impacts of changing operational/design parameters such as horizontal well length,casing sizes,pump speeds,and choke settings. APLNG used these results to design their well start-up and ramp-up strategies,and successfully kick off their horizontal wells. The results of this innovative workflow for reservoir and wellbore modelling in a CSG field highlights the new insights that can be gained by combining traditional reservoir simulation with mathematical optimization and transient well flow modelling. These workflows enhance our understanding of how to improve efficiencies and maximise production volumes within CSG fields.
机译:2017年,APLNG钻取了苏拉特盆地的第一个水平井,瞄准了瓦隆煤层气(CSG)措施。该水库非常浅,具有相对较低的压力。为了解决这种不确定性,进行了一项研究,以确定最佳的运营策略,以最大限度地发挥良好的生产中生产良好的生产。这是通过使用拉丁超立体采样器和遗传算法优化器来实现的,以确定最佳的储层模拟场景。然后在多相瞬态仿真模型中建模优化的仿真方案,以更好地了解井筒内的流动制度行为。这预测了良好的流动潜力,同时建模流动保证风险,例如井筒折叠。结果是一种创新的工作流程,确定了最佳的运营策略,同时核对水库压力的不确定性和井筒的流体液压。在完成储层优化研究后,与基本情况相比,优化的累积气体产量显示出3% - 6%。其他改进包括;较高的峰值天然气生产,较高的水产量,导致较早的气体解吸,缩短初始气体时间较短,达到峰值气体的时间较短。通过瞬态模型运行优化的储层仿真情况后,发现峰值气体的日子减少了80-90%,同时阻塞周期减少了90-100%。该模型还用于量化变化操作/设计参数,例如水平井长度,套管尺寸,泵速度和扼流装置的影响。 APLNG使用这些结果来设计他们的良好启动和增速策略,并成功地从水平井上开始。 CSG领域储层和井筒建模的这种创新工作流程的结果突出了通过将传统的储层模拟与数学优化和瞬态井流模型相结合来获得的新见解。这些工作流程提高了我们对如何提高效率的理解,并最大化CSG领域的生产卷。

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