Efficient and high-fidelity steering ability prediction of a slender drilling assembly
In drilling engineering, it is extremely challenging to drill a prescribed wellbore over several thousand meters. One of the main difficulties arises from accurately predicting and controlling the directional drilling performance, caused by the complex nonlinear dynamics of the slender drilling asse...
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Veröffentlicht in: | Acta mechanica 2019-11, Vol.230 (11), p.3963-3988 |
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description | In drilling engineering, it is extremely challenging to drill a prescribed wellbore over several thousand meters. One of the main difficulties arises from accurately predicting and controlling the directional drilling performance, caused by the complex nonlinear dynamics of the slender drilling assembly and its interactions with the surrounding rocks. Nowadays, the simplified analytical geometry method, which has been adopted as the industry standard, can merely offer a rough estimation of the drilling direction, while the high-accuracy finite element method is computationally inefficient. This study is intended to provide a straightforward prediction of the drilling direction for a long drilling distance accurately and efficiently by proposing a dynamical simulation method based on the flexible multibody approach. Three techniques were adopted to achieve the critical objective of the paper. First, an Arbitrary Lagrangian–Eulerian formulation was used to provide a new approach to balance the efficiency and accuracy. Additionally, it can perfectly simulate the realistic drilling operation that drill pipes are continuously added to the drill string one by one through dynamically inserting new beam elements into the existing model. Second, the whole drill string and its interaction with the wellbore were all considered to carry out a high-fidelity simulation. Finally, the bit–rock interaction model was introduced to offer a straightforward way of evaluating the steerability of drilling assemblies. The presented method and model were validated by the consistency between the simulated wellbore trajectory and the in-field experimental data and are ready to be applied in drilling tools design, real-time drilling simulation, and drilling direction control. |
doi_str_mv | 10.1007/s00707-019-02460-5 |
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One of the main difficulties arises from accurately predicting and controlling the directional drilling performance, caused by the complex nonlinear dynamics of the slender drilling assembly and its interactions with the surrounding rocks. Nowadays, the simplified analytical geometry method, which has been adopted as the industry standard, can merely offer a rough estimation of the drilling direction, while the high-accuracy finite element method is computationally inefficient. This study is intended to provide a straightforward prediction of the drilling direction for a long drilling distance accurately and efficiently by proposing a dynamical simulation method based on the flexible multibody approach. Three techniques were adopted to achieve the critical objective of the paper. First, an Arbitrary Lagrangian–Eulerian formulation was used to provide a new approach to balance the efficiency and accuracy. Additionally, it can perfectly simulate the realistic drilling operation that drill pipes are continuously added to the drill string one by one through dynamically inserting new beam elements into the existing model. Second, the whole drill string and its interaction with the wellbore were all considered to carry out a high-fidelity simulation. Finally, the bit–rock interaction model was introduced to offer a straightforward way of evaluating the steerability of drilling assemblies. The presented method and model were validated by the consistency between the simulated wellbore trajectory and the in-field experimental data and are ready to be applied in drilling tools design, real-time drilling simulation, and drilling direction control.</description><identifier>ISSN: 0001-5970</identifier><identifier>EISSN: 1619-6937</identifier><identifier>DOI: 10.1007/s00707-019-02460-5</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Accuracy ; Assembly ; Classical and Continuum Physics ; Computer simulation ; Control ; Drill pipe ; Drilling ; Drilling and boring ; Drillstrings ; Dynamical Systems ; Engineering ; Engineering Fluid Dynamics ; Engineering Thermodynamics ; Finite element method ; Heat and Mass Transfer ; Industry standards ; Interaction models ; Measuring instruments ; Nonlinear dynamics ; Original Paper ; Predictive control ; Simulation ; Solid Mechanics ; Steering ; Theoretical and Applied Mechanics ; Vibration</subject><ispartof>Acta mechanica, 2019-11, Vol.230 (11), p.3963-3988</ispartof><rights>Springer-Verlag GmbH Austria, part of Springer Nature 2019</rights><rights>COPYRIGHT 2019 Springer</rights><rights>Acta Mechanica is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-17ba50fd3fd0fa105b72e4f06cd587a46ca30e3108ccedfe2a8483398acbf2833</citedby><cites>FETCH-LOGICAL-c358t-17ba50fd3fd0fa105b72e4f06cd587a46ca30e3108ccedfe2a8483398acbf2833</cites><orcidid>0000-0002-7580-8405</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00707-019-02460-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00707-019-02460-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Chen, Kai-Dong</creatorcontrib><creatorcontrib>Chen, Jia-Qi</creatorcontrib><creatorcontrib>Hong, Di-Feng</creatorcontrib><creatorcontrib>Zhong, Xiao-Yu</creatorcontrib><creatorcontrib>Cheng, Zai-Bin</creatorcontrib><creatorcontrib>Lu, Qiu-Hai</creatorcontrib><creatorcontrib>Liu, Jia-Peng</creatorcontrib><creatorcontrib>Zhao, Zhi-Hua</creatorcontrib><creatorcontrib>Ren, Ge-Xue</creatorcontrib><title>Efficient and high-fidelity steering ability prediction of a slender drilling assembly</title><title>Acta mechanica</title><addtitle>Acta Mech</addtitle><description>In drilling engineering, it is extremely challenging to drill a prescribed wellbore over several thousand meters. One of the main difficulties arises from accurately predicting and controlling the directional drilling performance, caused by the complex nonlinear dynamics of the slender drilling assembly and its interactions with the surrounding rocks. Nowadays, the simplified analytical geometry method, which has been adopted as the industry standard, can merely offer a rough estimation of the drilling direction, while the high-accuracy finite element method is computationally inefficient. This study is intended to provide a straightforward prediction of the drilling direction for a long drilling distance accurately and efficiently by proposing a dynamical simulation method based on the flexible multibody approach. Three techniques were adopted to achieve the critical objective of the paper. First, an Arbitrary Lagrangian–Eulerian formulation was used to provide a new approach to balance the efficiency and accuracy. Additionally, it can perfectly simulate the realistic drilling operation that drill pipes are continuously added to the drill string one by one through dynamically inserting new beam elements into the existing model. Second, the whole drill string and its interaction with the wellbore were all considered to carry out a high-fidelity simulation. Finally, the bit–rock interaction model was introduced to offer a straightforward way of evaluating the steerability of drilling assemblies. The presented method and model were validated by the consistency between the simulated wellbore trajectory and the in-field experimental data and are ready to be applied in drilling tools design, real-time drilling simulation, and drilling direction control.</description><subject>Accuracy</subject><subject>Assembly</subject><subject>Classical and Continuum Physics</subject><subject>Computer simulation</subject><subject>Control</subject><subject>Drill pipe</subject><subject>Drilling</subject><subject>Drilling and boring</subject><subject>Drillstrings</subject><subject>Dynamical Systems</subject><subject>Engineering</subject><subject>Engineering Fluid Dynamics</subject><subject>Engineering Thermodynamics</subject><subject>Finite element method</subject><subject>Heat and Mass Transfer</subject><subject>Industry standards</subject><subject>Interaction models</subject><subject>Measuring instruments</subject><subject>Nonlinear dynamics</subject><subject>Original Paper</subject><subject>Predictive control</subject><subject>Simulation</subject><subject>Solid Mechanics</subject><subject>Steering</subject><subject>Theoretical and Applied Mechanics</subject><subject>Vibration</subject><issn>0001-5970</issn><issn>1619-6937</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kE1LAzEQhoMoWKt_wNOC5-gk-5HssZT6AQUv6jVkk0mbst1dk-2h_960K3iTQDIzvO874SHknsEjAxBPMV0gKLCaAi8qoOUFmbEqtVWdi0syAwBGy1rANbmJcZc6Lgo2I18r57zx2I2Z7my29Zstdd5i68djFkfE4LtNpht_HgwBrTej77usd5nOYoudxZDZ4Nv2LIwR9017vCVXTrcR737fOfl8Xn0sX-n6_eVtuVhTk5dypEw0ugRnc2fBaQZlIzgWDipjSyl0URmdA-YMpDFoHXItC5nntdSmcTxVc_Iw5Q6h_z5gHNWuP4QurVScC5CcS14k1eOk2ugWle9cPwZt0rG496bv0Pk0X1RQCCbr-hTLJ4MJfYwBnRqC3-twVAzUCbiagKsEXJ2BqzKZ8skUhxM0DH9_-cf1A2ncg-o</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Chen, Kai-Dong</creator><creator>Chen, Jia-Qi</creator><creator>Hong, Di-Feng</creator><creator>Zhong, Xiao-Yu</creator><creator>Cheng, Zai-Bin</creator><creator>Lu, Qiu-Hai</creator><creator>Liu, Jia-Peng</creator><creator>Zhao, Zhi-Hua</creator><creator>Ren, Ge-Xue</creator><general>Springer Vienna</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TB</scope><scope>7XB</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope><orcidid>https://orcid.org/0000-0002-7580-8405</orcidid></search><sort><creationdate>20191101</creationdate><title>Efficient and high-fidelity steering ability prediction of a slender drilling assembly</title><author>Chen, Kai-Dong ; Chen, Jia-Qi ; Hong, Di-Feng ; Zhong, Xiao-Yu ; Cheng, Zai-Bin ; Lu, Qiu-Hai ; Liu, Jia-Peng ; Zhao, Zhi-Hua ; Ren, Ge-Xue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-17ba50fd3fd0fa105b72e4f06cd587a46ca30e3108ccedfe2a8483398acbf2833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accuracy</topic><topic>Assembly</topic><topic>Classical and Continuum Physics</topic><topic>Computer simulation</topic><topic>Control</topic><topic>Drill pipe</topic><topic>Drilling</topic><topic>Drilling and boring</topic><topic>Drillstrings</topic><topic>Dynamical Systems</topic><topic>Engineering</topic><topic>Engineering Fluid Dynamics</topic><topic>Engineering Thermodynamics</topic><topic>Finite element method</topic><topic>Heat and Mass Transfer</topic><topic>Industry standards</topic><topic>Interaction models</topic><topic>Measuring instruments</topic><topic>Nonlinear dynamics</topic><topic>Original Paper</topic><topic>Predictive control</topic><topic>Simulation</topic><topic>Solid Mechanics</topic><topic>Steering</topic><topic>Theoretical and Applied Mechanics</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Kai-Dong</creatorcontrib><creatorcontrib>Chen, Jia-Qi</creatorcontrib><creatorcontrib>Hong, Di-Feng</creatorcontrib><creatorcontrib>Zhong, Xiao-Yu</creatorcontrib><creatorcontrib>Cheng, Zai-Bin</creatorcontrib><creatorcontrib>Lu, Qiu-Hai</creatorcontrib><creatorcontrib>Liu, Jia-Peng</creatorcontrib><creatorcontrib>Zhao, Zhi-Hua</creatorcontrib><creatorcontrib>Ren, Ge-Xue</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>DELNET Engineering & Technology Collection</collection><jtitle>Acta mechanica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Kai-Dong</au><au>Chen, Jia-Qi</au><au>Hong, Di-Feng</au><au>Zhong, Xiao-Yu</au><au>Cheng, Zai-Bin</au><au>Lu, Qiu-Hai</au><au>Liu, Jia-Peng</au><au>Zhao, Zhi-Hua</au><au>Ren, Ge-Xue</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Efficient and high-fidelity steering ability prediction of a slender drilling assembly</atitle><jtitle>Acta mechanica</jtitle><stitle>Acta Mech</stitle><date>2019-11-01</date><risdate>2019</risdate><volume>230</volume><issue>11</issue><spage>3963</spage><epage>3988</epage><pages>3963-3988</pages><issn>0001-5970</issn><eissn>1619-6937</eissn><abstract>In drilling engineering, it is extremely challenging to drill a prescribed wellbore over several thousand meters. One of the main difficulties arises from accurately predicting and controlling the directional drilling performance, caused by the complex nonlinear dynamics of the slender drilling assembly and its interactions with the surrounding rocks. Nowadays, the simplified analytical geometry method, which has been adopted as the industry standard, can merely offer a rough estimation of the drilling direction, while the high-accuracy finite element method is computationally inefficient. This study is intended to provide a straightforward prediction of the drilling direction for a long drilling distance accurately and efficiently by proposing a dynamical simulation method based on the flexible multibody approach. Three techniques were adopted to achieve the critical objective of the paper. First, an Arbitrary Lagrangian–Eulerian formulation was used to provide a new approach to balance the efficiency and accuracy. Additionally, it can perfectly simulate the realistic drilling operation that drill pipes are continuously added to the drill string one by one through dynamically inserting new beam elements into the existing model. Second, the whole drill string and its interaction with the wellbore were all considered to carry out a high-fidelity simulation. Finally, the bit–rock interaction model was introduced to offer a straightforward way of evaluating the steerability of drilling assemblies. The presented method and model were validated by the consistency between the simulated wellbore trajectory and the in-field experimental data and are ready to be applied in drilling tools design, real-time drilling simulation, and drilling direction control.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00707-019-02460-5</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0002-7580-8405</orcidid></addata></record> |
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subjects | Accuracy Assembly Classical and Continuum Physics Computer simulation Control Drill pipe Drilling Drilling and boring Drillstrings Dynamical Systems Engineering Engineering Fluid Dynamics Engineering Thermodynamics Finite element method Heat and Mass Transfer Industry standards Interaction models Measuring instruments Nonlinear dynamics Original Paper Predictive control Simulation Solid Mechanics Steering Theoretical and Applied Mechanics Vibration |
title | Efficient and high-fidelity steering ability prediction of a slender drilling assembly |
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