A Back-Of-The-Envelope Model to Estimate Dimensions for Every Shale Frac

L. Weijers, Karn Agarwal, E. Lolon, DK Fontana, M. Mayerhofer, Cyrille Defeu, K. Haustveit, J. Haffener
{"title":"A Back-Of-The-Envelope Model to Estimate Dimensions for Every Shale Frac","authors":"L. Weijers, Karn Agarwal, E. Lolon, DK Fontana, M. Mayerhofer, Cyrille Defeu, K. Haustveit, J. Haffener","doi":"10.2118/212339-ms","DOIUrl":null,"url":null,"abstract":"\n Creating a reliable, calibrated frac model used to be a long and expensive task in frac optimization. Today, with the proliferation of fracture diagnostics to calibrate models, simple frac dimensions can be calculated from indirect measurements on most North American shale fracs.\n Through the US Shale Revolution, fracturing operations have increasingly focused on pumping efficiencies. \"Factory mode\" operations today often allow little time for what used to be a lengthy optimization process of estimating fracture dimension sensitivity to job design changes for well placement selection and optimization of production economics. While some new fracture diagnostics have been designed to do measurements without interfering with frac operations, the calibrated models that harness these measurements remain cumbersome.\n We have developed a practical engineering tool that can extend the use of direct measurements to all shale horizontal well frac jobs. Unlike complex models that require lots of inputs and that are only routinely run on a few stages in a limited fraction of all North American shale wells, this Back-of-the-Envelope (BoE) model can be run effectively on every horizontal well stage. To date, it has been run on almost a quarter million stages. The BoE model provides two main advantages: (1) utilization of average basin diagnostic feedback and model calibration for more realistic results, and (2) augmenting more complex models on a much larger scale through a simpler workflow.\n The BoE model incorporates key fundamental processes in elliptical-shaped hydraulic fracture growth, including conservation of mass; limited entry-driven cluster distribution into simultaneously growing equal-sized multiple fractures; and Sneddon width profile with calibrated coupling over the fracture height. The physical model is further constrained by assuming a fixed half-length-to-height ratio from direct observation of hydraulic fracture growth.\n The BoE fracture model can be described with a few different rock mechanical fracture design and treatment parameters and ISIP measurements at the end of each fracture treatment stage. A key feature of the BoE model is that direct measurements are directly incorporated as an inherent calibration step. The model is anchored to basin closure stress measurements from DFITs and calibrated with past fracture geometry measurements, for example from Volume-to-First-Response data provided through Sealed Wellbore Pressure Monitoring (SWPM), or from other direct fracture diagnostics.\n In our paper, we present the results of this simple model and compare it with more complex fracture modeling efforts and fracture diagnostic results in a few major US shale basins.","PeriodicalId":402242,"journal":{"name":"Day 2 Wed, February 01, 2023","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 2 Wed, February 01, 2023","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/212339-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Creating a reliable, calibrated frac model used to be a long and expensive task in frac optimization. Today, with the proliferation of fracture diagnostics to calibrate models, simple frac dimensions can be calculated from indirect measurements on most North American shale fracs. Through the US Shale Revolution, fracturing operations have increasingly focused on pumping efficiencies. "Factory mode" operations today often allow little time for what used to be a lengthy optimization process of estimating fracture dimension sensitivity to job design changes for well placement selection and optimization of production economics. While some new fracture diagnostics have been designed to do measurements without interfering with frac operations, the calibrated models that harness these measurements remain cumbersome. We have developed a practical engineering tool that can extend the use of direct measurements to all shale horizontal well frac jobs. Unlike complex models that require lots of inputs and that are only routinely run on a few stages in a limited fraction of all North American shale wells, this Back-of-the-Envelope (BoE) model can be run effectively on every horizontal well stage. To date, it has been run on almost a quarter million stages. The BoE model provides two main advantages: (1) utilization of average basin diagnostic feedback and model calibration for more realistic results, and (2) augmenting more complex models on a much larger scale through a simpler workflow. The BoE model incorporates key fundamental processes in elliptical-shaped hydraulic fracture growth, including conservation of mass; limited entry-driven cluster distribution into simultaneously growing equal-sized multiple fractures; and Sneddon width profile with calibrated coupling over the fracture height. The physical model is further constrained by assuming a fixed half-length-to-height ratio from direct observation of hydraulic fracture growth. The BoE fracture model can be described with a few different rock mechanical fracture design and treatment parameters and ISIP measurements at the end of each fracture treatment stage. A key feature of the BoE model is that direct measurements are directly incorporated as an inherent calibration step. The model is anchored to basin closure stress measurements from DFITs and calibrated with past fracture geometry measurements, for example from Volume-to-First-Response data provided through Sealed Wellbore Pressure Monitoring (SWPM), or from other direct fracture diagnostics. In our paper, we present the results of this simple model and compare it with more complex fracture modeling efforts and fracture diagnostic results in a few major US shale basins.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
估算每条页岩压裂裂缝尺寸的粗略模型
在压裂优化中,建立一个可靠的、经过校准的压裂模型是一项耗时且昂贵的任务。如今,随着裂缝诊断校准模型的普及,可以通过对大多数北美页岩裂缝的间接测量来计算简单的裂缝尺寸。通过美国页岩革命,压裂作业越来越关注泵注效率。如今的“工厂模式”作业通常只需要很少的时间,而在过去,估算裂缝尺寸对作业设计变化的敏感性、选择井位和优化生产经济效益是一个漫长的优化过程。虽然一些新的裂缝诊断方法可以在不干扰压裂作业的情况下进行测量,但利用这些测量数据的校准模型仍然很麻烦。我们开发了一种实用的工程工具,可以将直接测量扩展到所有页岩水平井压裂作业中。复杂的模型需要大量的输入,并且通常只在北美页岩井的一小部分的几个级上运行,与之不同的是,这种简单的(BoE)模型可以有效地在每个水平井级上运行。到目前为止,它已经运行了近25万级。BoE模型提供了两个主要优势:(1)利用平均流域诊断反馈和模型校准来获得更真实的结果;(2)通过更简单的工作流程在更大的范围内扩展更复杂的模型。BoE模型包含了椭圆型水力裂缝发育的关键基本过程,包括质量守恒;有限的入口驱动簇分布在同时生长的等尺寸多条裂缝中;和Sneddon宽度剖面,在裂缝高度上进行校准耦合。通过对水力裂缝生长的直接观察,假设固定的半长高比,进一步约束了物理模型。BoE裂缝模型可以用几个不同的岩石机械裂缝设计和处理参数以及每个裂缝处理阶段结束时的ISIP测量值来描述。BoE模型的一个关键特征是直接测量被直接纳入固有的校准步骤。该模型锚定在dfit的盆地闭合应力测量数据上,并使用过去的裂缝几何测量数据进行校准,例如通过密封井筒压力监测(SWPM)提供的体积到第一反应数据,或其他直接裂缝诊断数据。在本文中,我们展示了这个简单模型的结果,并将其与美国几个主要页岩盆地的更复杂的裂缝建模和裂缝诊断结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Integrated 3D Numerical Modelling of Pressure Behavior and Casing Response at Offset Monitor Well During Fracturing Analysis of Shut-in Pressure Decline for Enhancing our Evaluation of Hydraulic Fracturing Treatments Hydraulic Fracturing Value Boosting Through Operational Innovation and Data Analytics, MDC and Inchi Fields Case Study Combined Video and Ultrasonic Measurements for Fracture Diagnostics – Greater Than the Sum of the Parts Observations, Learnings, and Validation of Conductive Fracture Imaging
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1