A Real Time Geomechanics Drilling Mud Window to Enhance Drilling Efficiency

M. Alawami, A. Al-Yami, S. Gharbi, Mohammed Murif Al-Rubaii محمد مريف الربعي
{"title":"A Real Time Geomechanics Drilling Mud Window to Enhance Drilling Efficiency","authors":"M. Alawami, A. Al-Yami, S. Gharbi, Mohammed Murif Al-Rubaii محمد مريف الربعي","doi":"10.2118/200033-ms","DOIUrl":null,"url":null,"abstract":"\n Enhancing the efficiency in drilling operations can lead to significant reduction in the overall costs of wells construction. Efficiency is generally achieved by maximizing drilling rate of penetration (ROP) while minimizing non-productive time (NPT) such as loss of circulation, well control and stuck pipe incidents. Reducing the uncertainties associated with subsurface formations, especially formation stresses around the wellbore, is one key aspect to decreasing the frequency of NPT incidents.\n Understanding wellbore stresses and the mechanical properties of subsurface formations is essential to optimize drilling surface parameters and drilling fluids properties to ultimately maximize drilling ROP and minimize NPT. Determination of the geomechanics drilling mud window in real time allows drilling operations to proactively prevent fractures and/or formation instabilities. The availability of the mud window in real time will enhance the rig reaction time to any abnormalities experienced while drilling to maintain bottomhole pressure (BHP) consistently within the window.\n The drilling mud window is constrained by a maximum and a minimum mud weight (MW) boundaries. The lower limit represents the stability gradient and the upper limit represents the fracture gradient. Drilling with a MW below the lower limit may cause formation instabilities such as caving and swelling that could lead to more severe consequences such as stuck pipes. Exceeding the upper limit MW may induce formation fractures that lead to loss of circulation that increases the risks of well control incidents.\n The developed model automatically and continuously calculates formation mechanical properties such as Young's modulus and Poisson's ratio using sonic logging while drilling (LWD) data. Based on formation specific correlations, the model then determines the in-situ stresses, induced stresses, and principle stresses. The fracture and stability gradients can be determined and converted to a MW for easier communication with the drilling crew. The maximum and minimum MWs are displayed as curves in real time that allows immediate adjustments to drilling parameters and/or drilling fluid properties.\n Geomechanics studies that contain the mud window are usually conducted pre-drilling using offset wells data, and these studies are often updated post-drilling only, which does not reduce the uncertainties associated with them. A real time model maintains the window relevant and up to date with the new data generated from the well.","PeriodicalId":11113,"journal":{"name":"Day 1 Mon, March 21, 2022","volume":"33 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Day 1 Mon, March 21, 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2118/200033-ms","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Enhancing the efficiency in drilling operations can lead to significant reduction in the overall costs of wells construction. Efficiency is generally achieved by maximizing drilling rate of penetration (ROP) while minimizing non-productive time (NPT) such as loss of circulation, well control and stuck pipe incidents. Reducing the uncertainties associated with subsurface formations, especially formation stresses around the wellbore, is one key aspect to decreasing the frequency of NPT incidents. Understanding wellbore stresses and the mechanical properties of subsurface formations is essential to optimize drilling surface parameters and drilling fluids properties to ultimately maximize drilling ROP and minimize NPT. Determination of the geomechanics drilling mud window in real time allows drilling operations to proactively prevent fractures and/or formation instabilities. The availability of the mud window in real time will enhance the rig reaction time to any abnormalities experienced while drilling to maintain bottomhole pressure (BHP) consistently within the window. The drilling mud window is constrained by a maximum and a minimum mud weight (MW) boundaries. The lower limit represents the stability gradient and the upper limit represents the fracture gradient. Drilling with a MW below the lower limit may cause formation instabilities such as caving and swelling that could lead to more severe consequences such as stuck pipes. Exceeding the upper limit MW may induce formation fractures that lead to loss of circulation that increases the risks of well control incidents. The developed model automatically and continuously calculates formation mechanical properties such as Young's modulus and Poisson's ratio using sonic logging while drilling (LWD) data. Based on formation specific correlations, the model then determines the in-situ stresses, induced stresses, and principle stresses. The fracture and stability gradients can be determined and converted to a MW for easier communication with the drilling crew. The maximum and minimum MWs are displayed as curves in real time that allows immediate adjustments to drilling parameters and/or drilling fluid properties. Geomechanics studies that contain the mud window are usually conducted pre-drilling using offset wells data, and these studies are often updated post-drilling only, which does not reduce the uncertainties associated with them. A real time model maintains the window relevant and up to date with the new data generated from the well.
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
实时地质力学钻井泥浆窗口,提高钻井效率
提高钻井作业效率可以显著降低建井总成本。效率通常是通过最大限度地提高钻进速度(ROP),同时最大限度地减少非生产时间(NPT),如漏失、井控和卡钻事故来实现的。减少与地下地层相关的不确定性,特别是井筒周围的地层应力,是减少NPT事故发生频率的一个关键方面。了解井筒应力和地下地层的力学特性对于优化钻井表面参数和钻井液特性至关重要,从而最终实现钻井ROP的最大化和NPT的最小化。实时确定地质力学钻井泥浆窗口,使钻井作业能够主动预防裂缝和/或地层不稳定。泥浆窗口的实时可用性将提高钻机对钻井过程中遇到的任何异常的反应时间,从而将井底压力(BHP)始终保持在窗口内。钻井泥浆窗口受到最大和最小泥浆比重(MW)边界的限制。下限为稳定梯度,上限为断裂梯度。当MW低于下限时,可能会导致地层不稳定,如崩落和膨胀,从而导致更严重的后果,如卡钻。超过上限MW可能会导致地层破裂,导致循环漏失,从而增加井控事故的风险。该模型利用随钻声波测井(LWD)数据自动连续计算地层力学特性,如杨氏模量和泊松比。基于特定地层相关性,该模型确定了地应力、诱导应力和主应力。可以确定裂缝和稳定梯度,并将其转换为MW,以便与钻井人员进行更方便的沟通。最大和最小MWs实时显示为曲线,可以立即调整钻井参数和/或钻井液性质。包含泥浆窗口的地质力学研究通常是在钻井前使用邻井数据进行的,这些研究通常只在钻井后更新,这并不能减少与之相关的不确定性。实时模型使窗口与井中生成的新数据保持相关性和最新状态。
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
Mukhaizna Steam Flood Project: Thermal Surveillance Practices and Log Response Brine to Enhance the Transport of Encapsulated Petroleum Sulfonates Nanosurfactants Deeper into the High Temperature Carbonate Reservoirs A Self-Adaptive Artificial Neural Network Technique to Estimate Static Young's Modulus Based on Well Logs Diverse Asphaltene Challenges in a Mature Field: A Fluid Study from Iraq Artificial-Intelligence Based Horizontal Well Placement Optimization Leveraging Geological and Engineering Attributes, and Expert-Based Workflows
×
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