A practical approach used to plan and execute, quantify and qualify an effective well clean-up strategy

R. Woods, T. Bothwell, B. Birt, Tim Hopper, S. Higginson
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Abstract

Summary Bringing a new well on-line is an expensive proposition and the need to ensure optimal performance is critical. Saturation and contamination of the drilling fluid with fines and subsequent invasion of the formation has historically resulted in hundreds of hours per well of invisible lost time during the clean-up phase of the well. New technologies, workflows and methods that can reduce costs/turnaround on projects were conducted on a large multi-well project in Perth, Western Australia, to maximise well efficiencies. Data from multiple sources were used to optimise and validate well clean-up operations with the aim to maximising production. This case study uses integration of well testing transient pressure data, Borehole Magnetic Resonance (BMR) derived transmissivity and flow logging to quantify success of clean-up/development of water wells, to reduce cost and optimise productivity. This case study demonstrates the successful implementation of an integrated approach to well clean-up using several scales of permeability data from core to wireline BMR to well test. This case study demonstrates that, in this particular setting, the use of the presented methodology was cost effective, yielded positive confirmation of asset delivery, and has led to a 90% reduction in clean-up associated time.
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一种实用的方法,用于规划、执行、量化和验证有效的油井清理策略
新井上线是一项昂贵的工作,确保最佳性能至关重要。钻井液的饱和和污染以及随后对地层的侵入,导致每口井在清理阶段损失数百小时的无形时间。在澳大利亚西部珀斯的一个大型多井项目中,为了最大限度地提高油井效率,研究人员采用了新的技术、工作流程和方法来降低项目成本和周转时间。来自多个来源的数据用于优化和验证油井清理作业,目的是最大限度地提高产量。本案例研究整合了试井瞬态压力数据、井眼磁共振(BMR)导出的透射率和流量测井,以量化水井清理/开发的成功程度,从而降低成本并优化产能。该案例研究展示了一种综合方法的成功实施,该方法使用了从岩心到电缆BMR再到试井的几种渗透率数据。该案例研究表明,在这种特殊情况下,使用所提出的方法具有成本效益,对资产交付产生了积极的确认,并使清理相关时间减少了90%。
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