储层模拟与瞬态井建模相结合的煤层气水平井优化设计

Turaj Nuralishahi, Maryam Vahmani, Erni Dharma Putra, Moh Hsiao Wun, K. Thakur, Phyoe Wai Aung, Chris Coman, S. Delfani, Kyle Wimbridge, N. Rodriguez, Johny Samaan
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摘要

2017年,APLNG在Surat盆地钻了第一口水平井,目标是瓦隆煤层气(CSG)措施。该储层相当浅,具有相对较低压力的潜力。为了解决这一不确定性,研究人员进行了一项研究,以确定最佳的作业策略,从而在生产的前五年最大限度地提高一口井的累计产气量。这是通过使用拉丁Hypercube采样器和遗传算法优化器来确定最佳油藏模拟场景来实现的。然后在多相瞬态模拟模型中对优化的模拟场景进行建模,以便更好地了解井筒内的流动状态。这可以预测井的流动潜力,同时模拟井筒段塞等流动保障风险。其结果是一个创新的工作流程,在考虑油藏压力和井筒流体液压不确定性的情况下,确定了最佳的操作策略。在完成储层优化研究后,与基本情况相比,优化后的累计产气量增加了3% - 6%。其他改进包括:产气峰值越高,产水峰值越高,导致气体解吸时间越早,初始产气时间越短,产气峰值时间越短。通过瞬态模型运行优化后的油藏模拟案例后,发现天然气峰值天数减少了80-90%,段塞期减少了90-100%。这些模型还用于量化操作/设计参数变化的影响,如水平井长度、套管尺寸、泵速和节流阀设置。APLNG利用这些结果设计了他们的井启动和爬坡策略,并成功地开始了他们的水平井。这一创新的储层和井筒建模工作流程的结果突出了将传统的储层模拟与数学优化和瞬态井流建模相结合可以获得的新见解。这些工作流程增强了我们对如何提高效率和最大限度地提高CSG油田产量的理解。
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Optimising Horizontal Coal Seam Gas Wells by Combining Reservoir Simulation and Transient Well Modelling
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.
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