Performance Redefined: A Business-Centric Approach to Assessing Hydraulic Fracturing Execution

D. Mogck, J. Doucette
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Abstract

The hydraulic fracturing of an unconventional well is typically the single most significant component of the expenditure for that well; however, there is no industry standard for assessing the efficiency of that operation. This work will present an approach for evaluating hydraulic fracturing performance that transcends commonly used key performance indicators (KPIs). Historically, the industry has focused on various metrics, such as pumping hours per day, to quantify a frac crew's efficiency. However, many commonly used KPIs may provide incomplete and sometimes misleading indicators of the actual performance of a given completions spread. This paper will present examples of traditionally used KPIs, instances where they have gone wrong, and offer an alternative means of consolidating and visualizing data from various commonly available sources. The intent is to better diagnose drivers affecting the performance of a given hydraulic fracturing spread. Commonly collected data from a hydraulic fracturing job, including rates, volumes, design parameters, and job logs, are transformed into consistent and easily understandable metrics. These data have been collected for hundreds of jobs and stages over the last few years and integrated into a dashboard to get a high-level understanding of performance. The authors of this paper have mined these data sets for examples to share lessons learned from experience and present some of the critical factors that can substantially impact performance. A review of historically used KPIs (stages, hours, feet per day, transition times, etc.) will reveal that none are ideal, and many suffer significant flaws. For example, a typical ‘stage’ design can vary wildly between areas. Pumping hours per day do not account for actual output during those hours. Case studies will illustrate the potential pitfalls of traditional KPI tracking and introduce the value of a more comprehensive approach. The methodology presented will divide the efficiency of a frac crew into a few broad buckets. The first encompasses surface efficiency - how physical operations on the well site affect the ability to pump. The second is hydraulic efficiency - quantifying how effectively the spread can attain and maintain the target pumping rate. The final bucket focuses on capturing overall crew performance in a single metric – slurry volume pumped. The volume pumped per day captures daily performance, while cumulative volume pumped over time reveals macro efficiency trends. Hydraulic fracturing KPIs have not been standardized. Additionally, they are often only evaluated and reviewed monthly or quarterly, not daily. Subsurface drivers of efficiency are also commonly neglected. To the authors' knowledge, this is the first work to present a methodology for holistically assessing a hydraulic fracturing operation's effectiveness and efficiency using a combination of surface and subsurface metrics trackable on a daily basis.
重新定义绩效:以业务为中心的水力压裂执行评估方法
非常规油井的水力压裂通常是该油井支出中最重要的组成部分;然而,目前还没有评估该作业效率的行业标准。这项工作将提出一种超越常用关键绩效指标(KPI)的水力压裂绩效评估方法。从历史上看,该行业一直关注各种指标,如每天的泵送小时数,以量化压裂人员的效率。然而,许多常用的关键绩效指标可能无法全面反映特定完井作业的实际绩效,有时甚至会产生误导。本文将举例说明传统使用的关键绩效指标、这些指标出错的情况,并提供一种替代方法来整合和可视化各种常用来源的数据。目的是更好地诊断影响特定水力压裂铺层性能的驱动因素。从水力压裂作业中收集到的常见数据,包括速率、流量、设计参数和作业日志,都被转化为一致且易于理解的指标。在过去几年中,我们收集了数百个作业和阶段的这些数据,并将其整合到一个仪表板中,以便对性能有一个高层次的了解。本文作者从这些数据集中挖掘出一些实例,与大家分享从经验中汲取的教训,并介绍一些会对绩效产生重大影响的关键因素。回顾历史上使用过的关键绩效指标(阶段、小时、每天英尺数、过渡时间等),我们会发现没有一个指标是理想的,许多指标都存在重大缺陷。例如,典型的 "阶段 "设计在不同地区会有很大差异。每天的抽水时间并不反映这些时间内的实际产出。案例研究将说明传统 KPI 跟踪的潜在缺陷,并介绍更全面方法的价值。介绍的方法将把压裂人员的效率分为几大类。首先是地面效率--井场的实际操作如何影响泵送能力。其次是水力效率--量化扩张如何有效地达到并保持目标抽油速度。最后一桶的重点是以单一指标(泥浆泵送量)来衡量工作人员的整体表现。每天的泵送量反映了每天的绩效,而长期累积的泵送量则揭示了宏观效率趋势。水力压裂关键绩效指标尚未标准化。此外,这些指标通常只在每月或每季度进行评估和审查,而不是每天。地表下的效率驱动因素通常也被忽视。据作者所知,这是首次提出一种方法,利用可每日跟踪的地表和地下指标组合,全面评估水力压裂作业的效果和效率。
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