FORMATION PRESSURE ESTIMATION IN ULTRA-LOW PERMEABLE RESERVOIRS EMPLOYING FORMATION RATE ANALYSIS (FRA) AND ARTIFICIAL INTELLIGENCE CONTROLLED TOOLS

Y. Askoul, G. Sibbald, A. Hooker, J. Banks, Total E P Uk Ltd
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Abstract

The necessity of knowing formation pressure is crucial to classifying pressure regimes for better understanding in well planning and to de-risk potential abnormal pressure conditions before any future field development wells are drilled, consequently minimizing operational cost. Wireline formation pressure testing has been a useful and reliable technology, that has evolved to confront the challenge of ultra-low permeable reservoir conditions by innovating and improving pump capability, accuracy in pressure measurements, automated control and the implantation of Formation Rate Analysis (FRA) intertwined with an Artificial Intelligent tool. In any pressure testing, the key factor is to be able to withdraw volume from the formation to generate a disturbance on formation pore pressure that a pressure gauge can measure. In the past this has been a difficult task in ultra-low permeable zones. The new generation of wireline tools are capable of withdrawing volume from ultra-low permeable reservoirs, with mobilities lower than 0.01mD/cP. This has been made possible by utilizing control of the pump speed down to 0.0003cc/s which then gives the operator the ability to test ultra-tight formations without the need for inflatable packers. By pulling down the pressure at an extremely low rate and using Artificial Intelligence to control the rate by knowing the formation rate, a proportional amount of volume can be extracted without calling it a tight test. During the operation by observing the rate, and making sure the pump is not oscillating, which indicates the formation rate is lower than the lowest rate the pump can withdraw, the test can be validated for formation flow and the pressure transient of the build – up can be analysed to confirm that at least spherical flow is observed. Once reservoir communication has been confirmed and by analysing drawdown and build-up pressure versus volume withdrawn and implementing the FRA equation, the reservoir pressure can be back calculated by considering isothermal compressibility and FRA slope. This paper highlights the best technical approach to quality check and quality control these tests, showing examples of various wells, where the technique has been used to predict a formation pressure, which can be used for further use for field development, drilling optimisation and production profiles. These pressures would never have been possible using static rates and volume.
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利用地层速率分析(fra)和人工智能控制工具估算超低渗透储层地层压力
了解地层压力对于分类压力状态至关重要,有助于更好地了解井计划,并在未来的任何油田开发井钻探之前消除潜在异常压力状况的风险,从而最大限度地降低运营成本。电缆地层压力测试是一项有用且可靠的技术,通过创新和提高泵的性能、压力测量的准确性、自动化控制以及地层速率分析(FRA)的植入与人工智能工具的结合,电缆地层压力测试已经发展成为一项应对超低渗透油藏条件挑战的技术。在任何压力测试中,关键因素是能够从地层中提取体积,从而对压力表可以测量的地层孔隙压力产生扰动。在过去,这在超低渗透层是一项艰巨的任务。新一代电缆工具能够从超低渗透油藏中提取体积,移动速度低于0.01mD/cP。通过将泵速控制到0.0003cc/s,这使得作业人员能够在不需要膨胀封隔器的情况下测试超密地层。通过以极低的速率降低压力,并利用人工智能通过了解地层速率来控制速率,可以在不称之为紧密测试的情况下提取出一定比例的体积。在作业过程中,通过观察速率,并确保泵没有振荡,这表明地层速率低于泵可以提取的最低速率,可以验证地层流动的测试,并且可以分析堆积的压力瞬态,以确认至少观察到球形流动。一旦确认了储层的连通,通过分析降压和积聚压力与抽采体积的关系,并执行FRA方程,就可以通过考虑等温压缩率和FRA斜率来计算储层压力。本文重点介绍了质量检查和质量控制这些测试的最佳技术方法,并展示了各种井的示例,其中该技术已用于预测地层压力,可用于进一步的油田开发,钻井优化和生产剖面。如果使用静态速率和体积,这些压力是不可能的。
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