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Improvement of zonal isolation in horizontal shale gas wells: A data-driven model-based approach

机译:水平页岩气井井间区间分离的提高:基于数据驱动的模型方法

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Shale gas production from horizontal wells may encounter potential problems because of gas leakage from various zones of a well into the air and ground water reserves. Stopping such leaks is a serious challenge faced by the shale gas industry. To stop gas communication between various zones of the well, lifelong integrity of the cemented annulus between the metal casing and the borehole wall must be ensured. Various physical factors i.e. casing properties (internal diameter, centralizers and casing-hole relationship), cement and drilling mud properties (density, viscosity, additives), and other variables, such as temperature and pressure, affect the quality of cement job. The quality of cement job was analyzed in terms of sustained casing pressure. Sustained casing pressure or SCP results from sustained pressure on an annulus seen at surface from fluid or gas leaking from a lower formation as a result of poor zonal isolation. The SCP value was used in categorizing horizontal shale gas wells as leaking or not leaking. The statistical classification model was built to predict whether a well will leak or not, under the effect of various physical factors. The multivariate statistical technique PLS-DA (Partial Least Square Discriminant Analysis) was used to build this model and as the input (predictor) variables, the model used dimensionless groups of the physical factors. The VIP (variable importance in projection) variable selection method was used to identify highly impacting physical factors and the optimal model structure was determined using the 10-fold cross validation method. The model was able to correctly classify 81% of the classified wells in cross-validation tests for intermediate casing. The types of data-driven models developed are helpful in predicting whether annular gas leakage will occur under the influence of physical factors and based on the model feedback, the responsible factors can be regulated to perform better cement job, which would result in reduced gas leakage and less remedial cementing cost. (c) 2017 Elsevier B.V. All rights reserved.
机译:由于水平井的横向井的页岩气产量可能会遇到潜在的问题,因为从井中的各个区域泄漏到空气和地下水储备。停止这种泄漏是页岩天然气行业面临的严重挑战。为了停止各种区域之间的气体通信,必须确保金属壳体和钻孔壁之间的芯片环的终身完整性。各种物理因素I.。套管性能(内径,挤压器和套管关系),水泥和钻井泥浆性能(密度,粘度,添加剂)和其他变量,如温度和压力,影响水泥工作的质量。在持续的壳体压力方面分析了水泥作业的质量。由于区间隔离差,持续的壳体压力或SCP对从流体或气体从较低的形成的流体或气体泄漏的持续压力。 SCP值用于将水平页岩气井分类为泄漏或未泄漏。建立统计分类模型以预测在各种物理因素的影响下是否会泄漏。多变量统计技术PLS-DA(偏最小二乘判别分析)用于构建该模型并作为输入(预测因子)变量,模型使用了物理因素的无量纲组。 VIP(投影中的变量重要性)可变选择方法用于识别高度影响物理因素,并且使用10倍交叉验证方法确定最佳模型结构。该模型能够在中间套管的交叉验证测试中正确分类81%的分类井。开发的数据驱动模型的类型有助于预测物理因素的影响以及基于模型反馈的影响,可以调节负责因素以执行更好的水泥作业,这将导致漏气降低较少的补救成本。 (c)2017 Elsevier B.v.保留所有权利。

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