Improved Acid Placement Modeling for Matrix Acidizing Optimization

S. Livescu, Andrea Vissotski, S. Chaudhary
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引用次数: 7

Abstract

Distributed temperature sensing (DTS) data interpretation has been extensively used in the last 10 years for improving acid placement for matrix acidizing operations. The DTS data are used for injection profiling during or after the acid and diverter are pumped into the reservoir. This study proposes an improved treatment schedule option for optimizing matrix stimulation operations with coiled tubing. In addition to the well-established DTS flow-profiling model, the capabilities of the new model include wormhole modeling, acid placement, and skin calculations. Coiled tubing-enabled optical fiber systems are usually used for improving the acid placement during or after matrix acidizing operations. A new model is proposed for designing and optimizing the matrix acidizing treatments in carbonate formations before, during, or after those operations. Specifically, this matrix acidizing model can be used in the pre-planning stimulation stage, before the DTS data is acquired, or during the stimulation, together with or separately from the DTS data. The model can be used in horizontal, deviated, and vertical wells with open-hole or perforated completions. The model takes into account the reservoir data (i.e., permeability, porosity, skin, pressure, and temperature), well data (i.e., tubing and casing sizes, length, number of perforations, etc.), and pumping schedule. Based on the input data and the wellbore hydraulic model, the output consists of the distributed acid rate and volume, wormhole length, and skin factor reduction. The DTS data from a synthetic matrix acidizing operation similar to one performed in an offshore carbonate field is used to validate the new model. An analysis of the results obtained for the previous and improved models is included, identifying the factors affecting the validation. Understanding these factors is crucial, because the new matrix acidizing model has the potential for use in the pre-planning stage with an enhanced acid placement schedule and can reduce operational costs by not using an optical fiber during the stimulation. In addition, the matrix acidizing model can be used during the matrix acidizing operations and can significantly reduce the acquisition time for the DTS data.
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改进的基质酸化配酸模型
在过去的10年里,分布式温度传感(DTS)数据解释被广泛用于改善基质酸化作业中的酸放置。DTS数据用于在将酸和暂堵剂泵入储层期间或之后的注入剖面分析。该研究提出了一种改进的处理方案,以优化连续油管基质增产作业。除了完善的DTS流动剖面模型外,新模型的功能还包括虫洞建模、酸放置和表皮计算。连续油管光纤系统通常用于改善基质酸化作业期间或之后的酸化位置。提出了一种新的模型,用于设计和优化碳酸盐地层酸化作业之前、期间或之后的基质酸化处理。具体来说,该基质酸化模型可用于预规划增产阶段,在获取DTS数据之前,或在增产过程中,与DTS数据一起或单独使用。该模型可用于裸眼或射孔完井的水平井、斜井和直井。该模型考虑了储层数据(即渗透率、孔隙度、表皮、压力和温度)、井数据(即油管和套管尺寸、长度、射孔数量等)以及泵送计划。根据输入数据和井筒水力模型,输出结果包括分布酸速率和体积、虫孔长度和表皮系数降低。采用与海上碳酸盐岩油田类似的合成基质酸化作业的DTS数据来验证新模型。对先前模型和改进模型的结果进行了分析,确定了影响验证的因素。了解这些因素是至关重要的,因为新的基质酸化模型具有在预规划阶段使用的潜力,具有增强的酸化时间表,并且可以通过在增产过程中不使用光纤来降低操作成本。此外,矩阵酸化模型可用于矩阵酸化作业,可显著缩短DTS数据的采集时间。
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