连续卤水光谱中减阻剂性能的评估

C. Aften, Keith Sullivan, Russell Thorpe
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引用次数: 0

摘要

标准流动回路中减摩剂的性能取决于特定的减摩剂、卤水成分和流体温度等环境因素,以及独特的回路设计和运行程序。本研究考察了各种商业和实验减摩擦剂的性能,使用实验设计,减摩擦剂载荷以加仑/千加仑表示,盐水总溶解固体以百万分之一表示,R+硬度以阳离子硬度离子与总溶解固体的摩尔比表示,以十进制百分比表示。最终的摩擦减少百分比通常取决于这些变量,每个减速器都会生成独特的曲线,用于预测上述变量空间内的性能。本研究在100英尺一次过油管中评估了12种不同装药类型的反乳液减阻剂。在本研究设计中,总溶解固体含量从5000到15000ppm变化,R+硬度从0.0到0.3变化,减速器载荷从0.25到1.00加仑/千加仑变化。每一种减速器都被注入到含有卤水的油藏中,这些卤水具有之前提到的预先确定的总溶解固体和R+硬度水平,并通过标准压差方案计算出最大摩擦减少百分比。生成的响应面具有从0.86到0.99的调整r2值,表明所选择的回归模型非常适合。电荷类型对响应面分布有显著影响,电荷类型对响应面分布有显著影响。通常情况下,随着摩擦减速器载荷的增加,摩擦减量百分比增加或达到最大平台,或者性能下降。随着总溶解固形物和/或R+硬度的增加,某些减阻剂的性能增加,而许多减阻剂的性能下降。响应面的梯度由线性递进到算术变换的三次函数。摩擦环的结果如何转化为全面的水力压裂作业尚不完全清楚,目前也没有明确的过程。然而,绘制特定减速器的响应面,然后将响应与其他减速器的响应数据进行比较,可以深入了解减速器的性能如何受到减速器载荷、TDS和R+硬度的影响,特别是在涉及高度可变水质的作业中。由于在水力分馏处理过程中,卤水性质可能会发生变化,因此最佳做法可能是使用一种已知在预期卤水水平内表现良好的减阻剂,或者在特定处理中预期使用多种减阻剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Friction Reducer Performance Within a Continuous Brine Spectrum
The performance of friction reducers in standard flow loops is a function of the specific friction reducer, environmental factors such as brine composition and fluid temperature, and the unique loop design and run procedure. This study examines the performance of various commercial and experimental friction reducers using Design of Experiments with variables of friction reducer loading expressed in gallons per thousand gallons, brine Total Dissolved Solids expressed in parts per million, and R+ Hardness expressed as the mole ratio of cationic hardness ions to the Total Dissolved Solids in decimal percentage. The ultimate percent friction reduction is generally dependent upon these variables, and each friction reducer generates unique profiles used to predict performance within the above variable space. This study evaluated 12 inverse emulsion friction reducers of various charge types in a 100 foot once through pipe. For this design of study, the Total Dissolved Solids was varied from 5,000 to 150,000 parts per million, the R+ Hardness varied from 0.0 to 0.3, and the friction reducer loading varied from 0.25 to 1.00 gallons per thousand gallons. Each reducer was injected into a reservoir containing a brine with the previously referenced, pre-established levels of Total Dissolved Solids and R+ Hardness, and the resulting maximum percentage friction reduction calculated by standard differential pressure protocol. The response surfaces generated had Ajusted-R2 values from 0.86 to 0.99 demonstrating an exceptionally good fit for the chosen regression model. The contour profiles expressed a general similarity between related charge types with type of charge significantly influencing the response surface profile. Typically, as friction reducer loading increased, percent friction reduction increased or a maximum plateau was achieved, or performance declined. Certain friction reducers’ performances increased as Total Dissolved Solids and/or R+ Hardness increased whereas many reducers’ performances decreased. The gradient of the response surfaces varied from linear progressing to cubic functions with arithmetic transformations. How friction loop results transmute to full scale hydraulic fracturing operations is not yet fully understood and no delineated process currently exists. However, mapping response surfaces of specific friction reducers then comparing responses to other friction reducers’ response data provides insight and can articulate how reducers’ performances are affected by friction reducer loading, TDS, and R+ Hardness, particularly in operations involving highly variable water quality. As brine character can vary during a hydraulic fractioning treatment, the best practice may be to either use a friction reducer known to perform well within the expected brine level or anticipate using multiple friction reducers for a specific treatment.
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