Signal attenuation simulation of acoustic telemetry in directional drilling
Abstract Acoustic telemetry is preferred to conventional mud pulse telemetry because of its faster data transmission rate. However, acoustic telemetry requires a repeater for signal amplification because of the large signal attenuation that depends on the depth of drilling, which makes the system co...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shin, Younggy [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© KSME & Springer 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of mechanical science and technology - Berlin : Springer, 2005, 33(2019), 11 vom: Nov., Seite 5189-5197 |
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| Übergeordnetes Werk: |
volume:33 ; year:2019 ; number:11 ; month:11 ; pages:5189-5197 |
| Links: |
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| DOI / URN: |
10.1007/s12206-019-1008-4 |
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| Katalog-ID: |
SPR025341596 |
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| 520 | |a Abstract Acoustic telemetry is preferred to conventional mud pulse telemetry because of its faster data transmission rate. However, acoustic telemetry requires a repeater for signal amplification because of the large signal attenuation that depends on the depth of drilling, which makes the system complicated and expensive. To improve communication performance by overcoming signal attenuation, developing a simulator capable of simulating the signal is necessary. However, the existing research models are limited to certain types of wave equation models that do not reflect the signal attenuation. In this study, the viscous dissipation term is added to the existing model, assuming that viscous friction caused by the relative movement between the mud and the drill string vibrating by acoustic waves is the main factor causing acoustic energy dissipation. A transient numerical model has been developed and tuned to simulate the attenuation rate reported in Drumheller's experiment on depth-dependent signal attenuation. The model shows that mud viscous flow is a major contribution to acoustic energy dissipation. The model developed in this study can be applied as a virtual simulator to develop various communication algorithms, as it can simulate signal attenuations at various drilling sites. | ||
| 650 | 4 | |a Acoustic telemetry |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Directional drilling |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Mud pulse telemetry |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Wave equation |7 (dpeaa)DE-He213 | |
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10.1007/s12206-019-1008-4 doi (DE-627)SPR025341596 (SPR)s12206-019-1008-4-e DE-627 ger DE-627 rakwb eng Shin, Younggy verfasserin aut Signal attenuation simulation of acoustic telemetry in directional drilling 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © KSME & Springer 2019 Abstract Acoustic telemetry is preferred to conventional mud pulse telemetry because of its faster data transmission rate. However, acoustic telemetry requires a repeater for signal amplification because of the large signal attenuation that depends on the depth of drilling, which makes the system complicated and expensive. To improve communication performance by overcoming signal attenuation, developing a simulator capable of simulating the signal is necessary. However, the existing research models are limited to certain types of wave equation models that do not reflect the signal attenuation. In this study, the viscous dissipation term is added to the existing model, assuming that viscous friction caused by the relative movement between the mud and the drill string vibrating by acoustic waves is the main factor causing acoustic energy dissipation. A transient numerical model has been developed and tuned to simulate the attenuation rate reported in Drumheller's experiment on depth-dependent signal attenuation. The model shows that mud viscous flow is a major contribution to acoustic energy dissipation. The model developed in this study can be applied as a virtual simulator to develop various communication algorithms, as it can simulate signal attenuations at various drilling sites. Acoustic telemetry (dpeaa)DE-He213 Directional drilling (dpeaa)DE-He213 Mud pulse telemetry (dpeaa)DE-He213 Wave equation (dpeaa)DE-He213 Enthalten in Journal of mechanical science and technology Berlin : Springer, 2005 33(2019), 11 vom: Nov., Seite 5189-5197 (DE-627)58714016X (DE-600)2467571-4 1976-3824 nnns volume:33 year:2019 number:11 month:11 pages:5189-5197 https://dx.doi.org/10.1007/s12206-019-1008-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2019 11 11 5189-5197 |
| spelling |
10.1007/s12206-019-1008-4 doi (DE-627)SPR025341596 (SPR)s12206-019-1008-4-e DE-627 ger DE-627 rakwb eng Shin, Younggy verfasserin aut Signal attenuation simulation of acoustic telemetry in directional drilling 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © KSME & Springer 2019 Abstract Acoustic telemetry is preferred to conventional mud pulse telemetry because of its faster data transmission rate. However, acoustic telemetry requires a repeater for signal amplification because of the large signal attenuation that depends on the depth of drilling, which makes the system complicated and expensive. To improve communication performance by overcoming signal attenuation, developing a simulator capable of simulating the signal is necessary. However, the existing research models are limited to certain types of wave equation models that do not reflect the signal attenuation. In this study, the viscous dissipation term is added to the existing model, assuming that viscous friction caused by the relative movement between the mud and the drill string vibrating by acoustic waves is the main factor causing acoustic energy dissipation. A transient numerical model has been developed and tuned to simulate the attenuation rate reported in Drumheller's experiment on depth-dependent signal attenuation. The model shows that mud viscous flow is a major contribution to acoustic energy dissipation. The model developed in this study can be applied as a virtual simulator to develop various communication algorithms, as it can simulate signal attenuations at various drilling sites. Acoustic telemetry (dpeaa)DE-He213 Directional drilling (dpeaa)DE-He213 Mud pulse telemetry (dpeaa)DE-He213 Wave equation (dpeaa)DE-He213 Enthalten in Journal of mechanical science and technology Berlin : Springer, 2005 33(2019), 11 vom: Nov., Seite 5189-5197 (DE-627)58714016X (DE-600)2467571-4 1976-3824 nnns volume:33 year:2019 number:11 month:11 pages:5189-5197 https://dx.doi.org/10.1007/s12206-019-1008-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2019 11 11 5189-5197 |
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10.1007/s12206-019-1008-4 doi (DE-627)SPR025341596 (SPR)s12206-019-1008-4-e DE-627 ger DE-627 rakwb eng Shin, Younggy verfasserin aut Signal attenuation simulation of acoustic telemetry in directional drilling 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © KSME & Springer 2019 Abstract Acoustic telemetry is preferred to conventional mud pulse telemetry because of its faster data transmission rate. However, acoustic telemetry requires a repeater for signal amplification because of the large signal attenuation that depends on the depth of drilling, which makes the system complicated and expensive. To improve communication performance by overcoming signal attenuation, developing a simulator capable of simulating the signal is necessary. However, the existing research models are limited to certain types of wave equation models that do not reflect the signal attenuation. In this study, the viscous dissipation term is added to the existing model, assuming that viscous friction caused by the relative movement between the mud and the drill string vibrating by acoustic waves is the main factor causing acoustic energy dissipation. A transient numerical model has been developed and tuned to simulate the attenuation rate reported in Drumheller's experiment on depth-dependent signal attenuation. The model shows that mud viscous flow is a major contribution to acoustic energy dissipation. The model developed in this study can be applied as a virtual simulator to develop various communication algorithms, as it can simulate signal attenuations at various drilling sites. Acoustic telemetry (dpeaa)DE-He213 Directional drilling (dpeaa)DE-He213 Mud pulse telemetry (dpeaa)DE-He213 Wave equation (dpeaa)DE-He213 Enthalten in Journal of mechanical science and technology Berlin : Springer, 2005 33(2019), 11 vom: Nov., Seite 5189-5197 (DE-627)58714016X (DE-600)2467571-4 1976-3824 nnns volume:33 year:2019 number:11 month:11 pages:5189-5197 https://dx.doi.org/10.1007/s12206-019-1008-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2019 11 11 5189-5197 |
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10.1007/s12206-019-1008-4 doi (DE-627)SPR025341596 (SPR)s12206-019-1008-4-e DE-627 ger DE-627 rakwb eng Shin, Younggy verfasserin aut Signal attenuation simulation of acoustic telemetry in directional drilling 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © KSME & Springer 2019 Abstract Acoustic telemetry is preferred to conventional mud pulse telemetry because of its faster data transmission rate. However, acoustic telemetry requires a repeater for signal amplification because of the large signal attenuation that depends on the depth of drilling, which makes the system complicated and expensive. To improve communication performance by overcoming signal attenuation, developing a simulator capable of simulating the signal is necessary. However, the existing research models are limited to certain types of wave equation models that do not reflect the signal attenuation. In this study, the viscous dissipation term is added to the existing model, assuming that viscous friction caused by the relative movement between the mud and the drill string vibrating by acoustic waves is the main factor causing acoustic energy dissipation. A transient numerical model has been developed and tuned to simulate the attenuation rate reported in Drumheller's experiment on depth-dependent signal attenuation. The model shows that mud viscous flow is a major contribution to acoustic energy dissipation. The model developed in this study can be applied as a virtual simulator to develop various communication algorithms, as it can simulate signal attenuations at various drilling sites. Acoustic telemetry (dpeaa)DE-He213 Directional drilling (dpeaa)DE-He213 Mud pulse telemetry (dpeaa)DE-He213 Wave equation (dpeaa)DE-He213 Enthalten in Journal of mechanical science and technology Berlin : Springer, 2005 33(2019), 11 vom: Nov., Seite 5189-5197 (DE-627)58714016X (DE-600)2467571-4 1976-3824 nnns volume:33 year:2019 number:11 month:11 pages:5189-5197 https://dx.doi.org/10.1007/s12206-019-1008-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2019 11 11 5189-5197 |
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10.1007/s12206-019-1008-4 doi (DE-627)SPR025341596 (SPR)s12206-019-1008-4-e DE-627 ger DE-627 rakwb eng Shin, Younggy verfasserin aut Signal attenuation simulation of acoustic telemetry in directional drilling 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © KSME & Springer 2019 Abstract Acoustic telemetry is preferred to conventional mud pulse telemetry because of its faster data transmission rate. However, acoustic telemetry requires a repeater for signal amplification because of the large signal attenuation that depends on the depth of drilling, which makes the system complicated and expensive. To improve communication performance by overcoming signal attenuation, developing a simulator capable of simulating the signal is necessary. However, the existing research models are limited to certain types of wave equation models that do not reflect the signal attenuation. In this study, the viscous dissipation term is added to the existing model, assuming that viscous friction caused by the relative movement between the mud and the drill string vibrating by acoustic waves is the main factor causing acoustic energy dissipation. A transient numerical model has been developed and tuned to simulate the attenuation rate reported in Drumheller's experiment on depth-dependent signal attenuation. The model shows that mud viscous flow is a major contribution to acoustic energy dissipation. The model developed in this study can be applied as a virtual simulator to develop various communication algorithms, as it can simulate signal attenuations at various drilling sites. Acoustic telemetry (dpeaa)DE-He213 Directional drilling (dpeaa)DE-He213 Mud pulse telemetry (dpeaa)DE-He213 Wave equation (dpeaa)DE-He213 Enthalten in Journal of mechanical science and technology Berlin : Springer, 2005 33(2019), 11 vom: Nov., Seite 5189-5197 (DE-627)58714016X (DE-600)2467571-4 1976-3824 nnns volume:33 year:2019 number:11 month:11 pages:5189-5197 https://dx.doi.org/10.1007/s12206-019-1008-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 33 2019 11 11 5189-5197 |
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Enthalten in Journal of mechanical science and technology 33(2019), 11 vom: Nov., Seite 5189-5197 volume:33 year:2019 number:11 month:11 pages:5189-5197 |
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Journal of mechanical science and technology |
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Shin, Younggy @@aut@@ |
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Shin, Younggy |
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Shin, Younggy misc Acoustic telemetry misc Directional drilling misc Mud pulse telemetry misc Wave equation Signal attenuation simulation of acoustic telemetry in directional drilling |
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Signal attenuation simulation of acoustic telemetry in directional drilling Acoustic telemetry (dpeaa)DE-He213 Directional drilling (dpeaa)DE-He213 Mud pulse telemetry (dpeaa)DE-He213 Wave equation (dpeaa)DE-He213 |
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signal attenuation simulation of acoustic telemetry in directional drilling |
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Signal attenuation simulation of acoustic telemetry in directional drilling |
| abstract |
Abstract Acoustic telemetry is preferred to conventional mud pulse telemetry because of its faster data transmission rate. However, acoustic telemetry requires a repeater for signal amplification because of the large signal attenuation that depends on the depth of drilling, which makes the system complicated and expensive. To improve communication performance by overcoming signal attenuation, developing a simulator capable of simulating the signal is necessary. However, the existing research models are limited to certain types of wave equation models that do not reflect the signal attenuation. In this study, the viscous dissipation term is added to the existing model, assuming that viscous friction caused by the relative movement between the mud and the drill string vibrating by acoustic waves is the main factor causing acoustic energy dissipation. A transient numerical model has been developed and tuned to simulate the attenuation rate reported in Drumheller's experiment on depth-dependent signal attenuation. The model shows that mud viscous flow is a major contribution to acoustic energy dissipation. The model developed in this study can be applied as a virtual simulator to develop various communication algorithms, as it can simulate signal attenuations at various drilling sites. © KSME & Springer 2019 |
| abstractGer |
Abstract Acoustic telemetry is preferred to conventional mud pulse telemetry because of its faster data transmission rate. However, acoustic telemetry requires a repeater for signal amplification because of the large signal attenuation that depends on the depth of drilling, which makes the system complicated and expensive. To improve communication performance by overcoming signal attenuation, developing a simulator capable of simulating the signal is necessary. However, the existing research models are limited to certain types of wave equation models that do not reflect the signal attenuation. In this study, the viscous dissipation term is added to the existing model, assuming that viscous friction caused by the relative movement between the mud and the drill string vibrating by acoustic waves is the main factor causing acoustic energy dissipation. A transient numerical model has been developed and tuned to simulate the attenuation rate reported in Drumheller's experiment on depth-dependent signal attenuation. The model shows that mud viscous flow is a major contribution to acoustic energy dissipation. The model developed in this study can be applied as a virtual simulator to develop various communication algorithms, as it can simulate signal attenuations at various drilling sites. © KSME & Springer 2019 |
| abstract_unstemmed |
Abstract Acoustic telemetry is preferred to conventional mud pulse telemetry because of its faster data transmission rate. However, acoustic telemetry requires a repeater for signal amplification because of the large signal attenuation that depends on the depth of drilling, which makes the system complicated and expensive. To improve communication performance by overcoming signal attenuation, developing a simulator capable of simulating the signal is necessary. However, the existing research models are limited to certain types of wave equation models that do not reflect the signal attenuation. In this study, the viscous dissipation term is added to the existing model, assuming that viscous friction caused by the relative movement between the mud and the drill string vibrating by acoustic waves is the main factor causing acoustic energy dissipation. A transient numerical model has been developed and tuned to simulate the attenuation rate reported in Drumheller's experiment on depth-dependent signal attenuation. The model shows that mud viscous flow is a major contribution to acoustic energy dissipation. The model developed in this study can be applied as a virtual simulator to develop various communication algorithms, as it can simulate signal attenuations at various drilling sites. © KSME & Springer 2019 |
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10.1007/s12206-019-1008-4 |
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2024-07-03T15:24:10.096Z |
| _version_ |
1803571953777246208 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR025341596</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230403065717.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12206-019-1008-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR025341596</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12206-019-1008-4-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Shin, Younggy</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Signal attenuation simulation of acoustic telemetry in directional drilling</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© KSME & Springer 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Acoustic telemetry is preferred to conventional mud pulse telemetry because of its faster data transmission rate. However, acoustic telemetry requires a repeater for signal amplification because of the large signal attenuation that depends on the depth of drilling, which makes the system complicated and expensive. To improve communication performance by overcoming signal attenuation, developing a simulator capable of simulating the signal is necessary. However, the existing research models are limited to certain types of wave equation models that do not reflect the signal attenuation. In this study, the viscous dissipation term is added to the existing model, assuming that viscous friction caused by the relative movement between the mud and the drill string vibrating by acoustic waves is the main factor causing acoustic energy dissipation. A transient numerical model has been developed and tuned to simulate the attenuation rate reported in Drumheller's experiment on depth-dependent signal attenuation. The model shows that mud viscous flow is a major contribution to acoustic energy dissipation. 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