Optimal Drawdown for Woodford and Mayes in the Anadarko Basin Using Data Analytics

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2021-05-01 DOI:10.2118/201660-PA

A. Alzahabi, A. Trindade, A. Kamel, A. Harouaka, W. Baustian, C. Campbell

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引用次数: 2

Abstract

One of the enduring pieces of the jigsaw puzzle for all unconventional plays is drawdown (DD), a technique for attaining optimal return on investment. Assessment of the DD from producing wells in unconventional resources poses unique challenges to operators; among them the fact that many operators are reluctant to reveal the production, pressure, and completion data required. In addition to multiple factors, various completion and spacing parameters add to the complexity of the problem. This work aims to determine the optimum DD strategy. Several DD trials were implemented within the Anadarko Basin in combination with various completion strategies. Privately obtained production and completion data were analyzed and combined with well log analysis in conjunction with data analytics tools. A case study is presented that explores a new strategy for DD producing wells within the Anadarko Basin to optimize a return on investment. We use scatter-plot smoothing to develop a predictive relationship between DD and two dependent variables—estimated ultimate recovery (EUR) and initial production (IP) for 180 days of oil—and introduce a model that evaluates horizontal well production variables based on DD. Key data were estimated using reservoir and production variables. The data analytics suggested the optimal DD value of 53 psi/D for different reservoirs within the Anadarko Basin. This result may give professionals additional insight into more fully understanding the Anadarko Basin. Through these optimal ranges, we hope to gain a more complete understanding of the best way to DD wells when they are drilled simultaneously. Our discoveries and workflow within the Woodford and Mayes Formations may be applied to various plays and formations across the unconventional play spectrum. Optimal DD techniques in unconventional reservoirs could add billions of dollars in revenue to a company’s portfolio and dramatically increase the rate of return, as well as offer a new understanding of the respective producing reservoirs.

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使用数据分析法对阿纳达科盆地Woodford和Mayes的最佳开采量

所有非常规游戏的拼图中经久不衰的一块是缩编（DD），这是一种获得最佳投资回报的技术。对非常规资源中生产井的DD进行评估给运营商带来了独特的挑战；其中一个事实是，许多运营商不愿透露所需的生产、压力和完工数据。除了多种因素外，各种完井和间距参数也增加了问题的复杂性。本工作旨在确定最佳DD策略。结合各种完井策略，在阿纳达科盆地内进行了几次DD试验。对私人获得的生产和完井数据进行分析，并将其与测井分析和数据分析工具相结合。案例研究探讨了阿纳达科盆地DD生产井的新策略，以优化投资回报。我们使用散点图平滑来建立DD和两个因变量之间的预测关系——180的估计最终采收率（EUR）和初始产量（IP）并介绍了一个基于DD评估水平井产量变量的模型。使用储层和产量变量估计关键数据。数据分析表明，最佳DD值为53 Anadarko盆地内不同储层的psi/D。这一结果可能会让专业人士进一步深入了解阿纳达科盆地。通过这些最佳范围，我们希望更全面地了解同时钻井时DD井的最佳方法。我们在Woodford和Mayes地层中的发现和工作流程可以应用于非常规地层的各种地层和地层。非常规储层的最佳DD技术可以为公司的投资组合增加数十亿美元的收入，大幅提高回报率，并为各个生产储层提供新的了解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.