预测分析可改善环境影响,优化压裂性能

新的压裂液优化流程使用广泛的数据库,结合简单但有效的方法来选择合适的减摩剂 (FR),从而为操作员提供适当的作业前分析,以选择最适合其成本结构和 ESG 计划的 FR 。

Universal 工程师监控二叠纪一口井的压裂作业绩效。(来源:通用压力泵)

提出者:

哈特能源勘探与生产

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根据《国家法律评论》 2021 年 9 月的一篇文章,彭博社追踪到今年第一季度能源公司财报电话会议上近 300 次提及 ESG。随着石油和天然气行业对 ESG 的关注不断增强,一些勘探与生产公司的解决方案(包括优化水力压裂设计)变得越来越重要。文章指出,“勘探与生产公司确实可以考虑水力压裂中的水回收,以解决‘E’问题。” 明显的含义是产出水。 

大多数运营商希望使用更多的采出水进行水力压裂,从而显着减少水处理和对淡水的依赖。采出水比例较高的主要问题是水质量的变化导致泵送压力的不可预测性。这反过来又增加了泵送成本和燃料消耗(进而增加了排放)。UniversalPressurePumping(UPP)开发了一种新的压裂液优化工艺,采用各种减摩剂(FR),多种水质可以提高采出水利用率,同时保持淡水基流体传统上的成本效率。

在水力压裂处理过程中,当水被泵入长管道(井筒)时,FR 可以减少摩擦效应(额外压力)。采出水中的成分含量升高,从而降低了阻燃剂的有效性。因此,作业前测试比以往任何时候都更加重要,以确保为应用选择正确的阻燃剂。传统上,FR 的作业前测试包括广泛的水分析、与其他化学物质的兼容性测试以及流动回路分析。 

流路分析是一项标准实验室测试,用于评估在加入设计化学物质之前和之后流体的摩擦压力损失。测试结果表示为经过化学处理的流体与未经处理的基础流体的摩擦减少的百分比。尽管 Flowloop 的使用一直是产品之间比较分析的良好基准,但从历史上看,将其与现场预测性能相关联的方法存在局限性。 

流动回路分析
流动回路分析比较了添加三种不同的阻燃剂后操作员现场水中的摩擦减少情况。(来源:通用压力泵公司)

使用传统的水头损失方程,创建了一个简单但高效的井筒压力模型,以使用流动回路分析期间收集的数据计算各种套管配置和处理率的摩擦压力损失(psi/1,000 英尺)。  

为了缩短作业前测试的周转时间,通过使用 UPP 的流程分析数据库对数百种市售 FR 定义了最适合的产品列表。然后对性能最高的候选 FR 进行测试,以确认基线假设并确定 FR 和采出水百分比的最佳效率点。   

在确认了细化流体列表的摩擦减少百分比后,输入额外的井和处理参数来创建处理参数的预测,该预测可用于创建现场优化的流体系统。  

为了帮助优化过程,以下参数是基于每种流体计算的:

  • 平均治疗压力是治疗速率或侧位位置的函数;
  • 平均治疗率;
  • 泵送时间;
  • 液压马力;
  • 燃油量和成本;
  • FR体积和成本;
  • 按设计速度完成的阶段百分比。 
每个阶段的统计数据
该输出图显示了每种流体类型的计算处理参数。(来源:通用压力泵公司)

除了主要处理产出外,ESG 改进和相对成本节省还可以通过测量来量化,包括但不限于:

  • 化学品(使用的类型和数量);
  • 减少运输卡车交通(化学品和燃料);
  • 减少采出水处理(处理成本和卡车运输);
  • 降低马力要求(燃料使用和马力费用);
  • 降低碳排放。

有了这些信息,运营商就可以通过充分利用可用资源来降低总处理成本并改善其 ESG 基础。

这种压裂液优化流程已在二叠纪和伊格尔福德盆地的多个运营商中应用了一年多,使用各种 FR 和浓度生成数据,以确认流动回路结果和压力计算。自压裂液优化过程开始以来,当模型校准为平均裂缝梯度和处理速率时,预测压力和实际处理压力之间存在高度相关性。在与西德克萨斯州运营商合作时,一年时间内 30 多个多级支线的平均差异仅为 3.6%。通过将优化的阻燃化学包与原始流体设计进行比较,进一步量化 ESG 改进。

实际压力对比
该图将整个井眼不同阶段的实际处理压力与预测处理压力进行了比较。过去的表现并不是未来业绩的保证。结果可能会有所不同。(来源:通用压力泵公司)

优化过程使用广泛的数据库以及选择适当 FR 的简单但有效的方法。它已被证明是有效的,因为它为运营商提供了适当的作业前分析,以选择最适合其成本结构和 ESG 计划的 FR。这种流体选择的预测分析方法可以应用于任何采用滑溜水处理的盆地的任何油田。 


作者简介: Jesse Street 是位于德克萨斯州米德兰的 UniversalPressure Pumping Inc. 的高级技术顾问。他于 2012 年在 Calfrac Well Services 开始了自己的职业生涯,随后于 2013 年加入 Universal,担任宾夕法尼亚州康奈尔斯维尔的现场工程师。他还曾在 Universal 东北部担任船员工程师和联盟工程师。 

原文链接/hartenergy

Predictive Analysis Improves Environmental Impact, Optimizes Frac Performance

A new frac fluid optimization process uses an extensive database coupled with a simple but effective method of selecting appropriate friction reducers (FRs), thus equipping an operator with the proper pre-job analysis to choose the FR that best fits its cost structure and ESG initiatives.

Universal engineers monitor frac job performance on a well in the Permian. (Source: Universal Pressure Pumping)

Presented by:

Hart Energy E&P

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According to a September 2021 article in National Law Review, Bloomberg tracked almost 300 mentions of ESG on energy company earnings calls in the first quarter of the year. As focus on ESG gains momentum in the oil and gas industry, some E&P company solutions, including optimized hydraulic fracturing designs, are becoming increasingly relevant. The article noted that "E&P companies can indeed look at water recycling in fracking to address the 'E' component." The apparent implication is produced water. 

Most operators would like to use more produced water for hydraulic fracturing, significantly reducing water disposal and reliance on fresh water. The main issue with a higher ratio of produced water is that water variability in quality causes unpredictability in pumping pressures. This, in turn, increases pumping costs and fuel consumption (and, by extension, emissions). Universal Pressure Pumping (UPP) has developed a new frac fluid optimization process with various friction reducers (FRs), and a wide variety of water qualities allows a higher percentage of produced water utilization while maintaining cost efficiency traditionally seen with freshwater-based fluids.

FRs are necessary to reduce the frictional effects (extra pressure) as water is pumped down the long pipe (wellbore) during the hydraulic fracture treatment. Produced water has elevated levels of constituents, which reduces the effectiveness of FRs. Therefore, it is more important than ever for pre-job testing to ensure the proper FR is selected for the application. Traditionally pre-job testing for FRs includes extensive water analysis, compatibility testing with other chemistry and flowloop analysis. 

Flowloop analysis is a standard laboratory test used to evaluate friction pressure losses of fluid before and after the incorporation of designed chemistry. Test results are expressed as a percentage of friction reduction of chemically treated fluid versus the untreated base fluid. Although flowloop usage has been a good benchmark for comparative analysis between products, historically, there have been limitations to methods correlating this to predictive performance in the field. 

flow loop analysis
A flowloop analysis comparing friction reduction in an operator’s field water after the addition of three different FRs. (Source: Universal Pressure Pumping Inc.)

Using traditional head loss equations, a simple but highly effective wellbore pressure model was created to calculate friction pressure loss (psi/1,000 ft) for various casing configurations and treatment rates using the data collected during the flowloop analysis.  

To improve turnaround time for pre-job testing, a list of best-fit products is defined by using UPP's database of flowloop analysis for hundreds of commercially available FRs. The testing of highest-performing candidate FRs is then executed to confirm baseline assumptions and identify the best efficiency points for FR and produced water percentage.   

With percent friction reduction confirmed for a refined list of fluids, additional well and treatment parameters are input to create a prediction of treatment parameters that can be used to create a field-optimized fluid system.  

To aid in the optimization process, the following parameters are calculated on a per-fluid basis:

  • Average treatment pressure as a function of treatment rate or position in lateral;
  • Average treatment rate;
  • Pump time;
  • Hydraulic horsepower;
  • Fuel volume and cost;
  • FR volume and cost; and
  • Percent of stages completed at the designed rate. 
statistics per stage
This output graph indicates calculated treatment parameters for each fluid type. (Source: Universal Pressure Pumping Inc.)

Besides primary treatment outputs, ESG improvements and relative cost savings can be quantified by measurements that include but are not limited to:

  • Chemicals (type and volume used);
  • Reduction in delivery truck traffic (chemicals and fuel);
  • Reduction in produced water disposal (disposal cost and trucking);
  • Decreased horsepower requirements (fuel usage and horsepower charges); and
  • Lower carbon emissions.

Equipped with this information, operators can lower total treatment costs and improve their ESG footing by making the best use of resources available.

This frac fluid optimization process has been applied for more than a year in the Permian and Eagle Ford basins for multiple operators, generating data using various FRs and concentrations that confirm flowloop results and pressure calculations. Since the inception of the frac fluid optimization process, there has been a high degree of correlation between predicted and actual treatment pressure when the model is calibrated to average fracture gradients and treatment rates. While working with a West Texas operator, an average difference of only 3.6% was observed over a year time frame across 30-plus multistage laterals. ESG improvements are further quantified by comparing the optimized FR chemical package to the original fluid design.

actual pressure comparison
This graph compares actual treatment pressures against predictive treatment pressures at varying stages throughout the wellbore. Past performance is not a guarantee of future results. Results may vary. (Source: Universal Pressure Pumping Inc.)

The optimization process uses an extensive database coupled with a simple but effective method of selecting appropriate FRs. It has been proven effective because it equips the operator with the proper pre-job analysis to choose the FR that best fits its cost structure and ESG initiatives. This predictive analysis approach to fluid selection can be applied to any field in any basin utilizing a slickwater treatment. 


About the author: Jesse Street is a senior technical adviser for Universal Pressure Pumping Inc. in Midland, Texas. He started his career with Calfrac Well Services in 2012 before joining Universal in 2013 as a field engineer in Connellsville, Pa. He has also served as a crew engineer and alliance engineer in the Northeast for Universal.