Quantifying the Effect of Stress Hysteresis on the Drilling Window: How Mud Weight Variations Can Affect Wellbore Strength

H. Albahrani, Nobuo Morita, M. Alqam
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Abstract

The estimation of the drilling window limits ensures that lost circulation and wellbore instability events are minimized. These limits are conventionally defined during the pre-drilling phase based on offset wells data. As drilling commences, mud weights are selected to fit within these limits and they can be adjusted to react to different drilling scenarios as long as they don't violate the defined limits. This process fails to consider the effect of the initial mud weight and its subsequent adjustments on the strength of the wellbore. The concept of stress hysteresis dictates that when a body is subjected to a certain load, such as the one exerted by the hydrostatic pressure of the mud, its state will be altered in a manner that can shift its strength limits. This work presents a model that quantifies the changes in the drilling window due to variations in mud weight. The objective is to ensure that any subsequent mud weight changes will fall within the updated drilling window limits. The analysis is carried out using a novel process of a 3D poro-elasto-plastic finite element model (FEM) that is integrated with a machine learning (ML) algorithm. The integrated FEM-ML model uses offset wells data along with the best fitting failure criterion to estimate the initial limits of the drilling window. The offset wells data used consist of wireline logs, drilling reports, and mechanical testing lab results belonging to the formation of interest. The integrated model uses this data to estimate the stress distribution and learn the failure patterns. The model is then used to run different scenarios of mud weight variations while drilling a specific hole section to quantify their effect on the drilling window. The end result of each scenario is an update of the drilling window, which reflects the effect of stress hysteresis. When examining the initial estimations of the drilling window against those reflecting the stress path effect, a significant discrepancy in the window size is quantified. This examination is carried out for an offset well, which experienced multiple mud weight changes as a response to various drilling events. Subsequently, the changes in the drilling window and the actual mud weights used are analyzed in view of the drilling difficulties experienced in that specific offset well for the purpose of providing a form of validation. The model results show that the drilling window had shrunk significantly enough for the mud weight to violate the wellbore stability limit. Failure to consider the stress hysteresis effect in this well led major wellbore instability, tight hole, and overpull. The modelling effort presented in this work allows for a new aspect of dynamic responses to drilling events as they occur.
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量化应力滞后对钻井窗口的影响:泥浆比重变化如何影响井眼强度
对钻井窗口极限的估计可确保将漏失和井筒不稳定事件降至最低。这些限制通常是在钻井前阶段根据邻井数据确定的。随着钻井的开始,泥浆比重被选择在这些限制范围内,只要不违反规定的限制,就可以根据不同的钻井情况进行调整。该过程没有考虑初始泥浆比重及其后续调整对井筒强度的影响。应力滞后的概念表明,当一个物体受到一定的载荷时,比如泥浆的静水压力,它的状态会发生改变,从而改变其强度极限。这项工作提出了一个模型,可以量化由于泥浆比重变化而导致的钻井窗口的变化。目的是确保任何后续泥浆比重的变化都在更新的钻井窗口范围内。该分析采用了一种新颖的三维多孔弹塑性有限元模型(FEM)过程,该过程与机器学习(ML)算法相结合。综合FEM-ML模型使用邻井数据和最佳拟合失效准则来估计钻井窗口的初始极限。所使用的邻井数据包括电缆测井、钻井报告和属于感兴趣地层的机械测试实验室结果。综合模型利用这些数据来估计应力分布和了解破坏模式。然后使用该模型在钻进特定井段时运行不同的泥浆比重变化情况,以量化其对钻井窗口的影响。每种情况的最终结果都是更新钻井窗口,这反映了应力滞后的影响。当检查钻井窗口的初始估计与反映应力路径效应的估计时,窗口尺寸的显着差异被量化。该测试是在一口邻井中进行的,该井经历了多次泥浆比重变化,作为对各种钻井事件的响应。随后,根据该特定邻井的钻井困难,分析钻井窗口的变化和实际使用的泥浆比重,以提供一种形式的验证。模型结果表明,钻井窗口明显缩小,泥浆比重突破了井筒稳定极限。该井未考虑应力滞后效应,导致井筒失稳、井眼紧致和过拉。在这项工作中提出的建模工作允许钻井事件发生时动态响应的新方面。
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