Dynamic Analysis Method Research and Application of Shale Gas Horizontal Well
As a rule, the production rate of a shale gas well is high at the initial stage and decreases within approximately one year of production. On the one hand, the rate of production of the horizontal shale gas well is obviously affected by the bottom hole liquid accumulation when even a cubic meter vol...
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Veröffentlicht in: | Chemistry and technology of fuels and oils 2021-05, Vol.57 (2), p.289-298 |
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description | As a rule, the production rate of a shale gas well is high at the initial stage and decreases within approximately one year of production. On the one hand, the rate of production of the horizontal shale gas well is obviously affected by the bottom hole liquid accumulation when even a cubic meter volume of accumulated liquid can lead to a complete cessation of gas production. On the other hand, the production rate is also sensitive to gas transmission pressure and the transmission mode. Due to the great difference in the gas production and percolation mechanism between a shale gas reservoir and a conventional gas reservoir; the error of prediction of the gas flow pattern can be very high. Based on the modern shale gas dynamics, the method of multiple regression analysis is proposed to predict the average pressure drop gradient of a gas well, and the average error rate is 9.0%. The new method has the advantages of high efficiency and low cost. According to the actual production data fitting, the gas wells are divided into stable production and unstable production wells, depending on the average pressure drop gradient, which effectively reflects the implementation of a well drainage gas production technology. |
doi_str_mv | 10.1007/s10553-021-01249-4 |
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On the one hand, the rate of production of the horizontal shale gas well is obviously affected by the bottom hole liquid accumulation when even a cubic meter volume of accumulated liquid can lead to a complete cessation of gas production. On the other hand, the production rate is also sensitive to gas transmission pressure and the transmission mode. Due to the great difference in the gas production and percolation mechanism between a shale gas reservoir and a conventional gas reservoir; the error of prediction of the gas flow pattern can be very high. Based on the modern shale gas dynamics, the method of multiple regression analysis is proposed to predict the average pressure drop gradient of a gas well, and the average error rate is 9.0%. The new method has the advantages of high efficiency and low cost. According to the actual production data fitting, the gas wells are divided into stable production and unstable production wells, depending on the average pressure drop gradient, which effectively reflects the implementation of a well drainage gas production technology.</description><identifier>ISSN: 0009-3092</identifier><identifier>EISSN: 1573-8310</identifier><identifier>DOI: 10.1007/s10553-021-01249-4</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Chemistry ; Chemistry and Materials Science ; Flow distribution ; Gas dynamics ; Gas flow ; Gas transmission ; Gas transmission industry ; Gas wells ; Geotechnical Engineering & Applied Earth Sciences ; Horizontal wells ; Industrial Chemistry/Chemical Engineering ; Innovative Technologies of Oil and Gas ; Methods ; Mineral Resources ; Multiple regression analysis ; Natural gas ; Percolation ; Pressure drop ; Reservoirs ; Shale gas ; Shale oils</subject><ispartof>Chemistry and technology of fuels and oils, 2021-05, Vol.57 (2), p.289-298</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>COPYRIGHT 2021 Springer</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c358t-af10d1119bbbc8f35f76d4017764d889618ab1d1d22d770069c8b639bd9e7b1d3</citedby><cites>FETCH-LOGICAL-c358t-af10d1119bbbc8f35f76d4017764d889618ab1d1d22d770069c8b639bd9e7b1d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10553-021-01249-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10553-021-01249-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27926,27927,41490,42559,51321</link.rule.ids></links><search><creatorcontrib>Ma, Huiyun</creatorcontrib><creatorcontrib>Yang, Zhi</creatorcontrib><creatorcontrib>Xie, Nanxing</creatorcontrib><creatorcontrib>Ye, Changqing</creatorcontrib><creatorcontrib>Xiong, Jie</creatorcontrib><creatorcontrib>Zhu, Kun</creatorcontrib><creatorcontrib>Cheng, Jiaoxiao</creatorcontrib><title>Dynamic Analysis Method Research and Application of Shale Gas Horizontal Well</title><title>Chemistry and technology of fuels and oils</title><addtitle>Chem Technol Fuels Oils</addtitle><description>As a rule, the production rate of a shale gas well is high at the initial stage and decreases within approximately one year of production. On the one hand, the rate of production of the horizontal shale gas well is obviously affected by the bottom hole liquid accumulation when even a cubic meter volume of accumulated liquid can lead to a complete cessation of gas production. On the other hand, the production rate is also sensitive to gas transmission pressure and the transmission mode. Due to the great difference in the gas production and percolation mechanism between a shale gas reservoir and a conventional gas reservoir; the error of prediction of the gas flow pattern can be very high. Based on the modern shale gas dynamics, the method of multiple regression analysis is proposed to predict the average pressure drop gradient of a gas well, and the average error rate is 9.0%. The new method has the advantages of high efficiency and low cost. According to the actual production data fitting, the gas wells are divided into stable production and unstable production wells, depending on the average pressure drop gradient, which effectively reflects the implementation of a well drainage gas production technology.</description><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Flow distribution</subject><subject>Gas dynamics</subject><subject>Gas flow</subject><subject>Gas transmission</subject><subject>Gas transmission industry</subject><subject>Gas wells</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Horizontal wells</subject><subject>Industrial Chemistry/Chemical Engineering</subject><subject>Innovative Technologies of Oil and Gas</subject><subject>Methods</subject><subject>Mineral Resources</subject><subject>Multiple regression analysis</subject><subject>Natural gas</subject><subject>Percolation</subject><subject>Pressure drop</subject><subject>Reservoirs</subject><subject>Shale gas</subject><subject>Shale oils</subject><issn>0009-3092</issn><issn>1573-8310</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE1PwzAMhiMEEmPwBzhF4tyRjzZpjtWADWkIiQ9xjNIk3Tp1SUm6w_j1ZBSJG_LBsv0-lv0CcI3RDCPEbyNGRUEzRHCGMMlFlp-ACS44zUqK0SmYIIRERpEg5-Aixu2x5IROwNPdwaldq2HlVHeIbYRPdth4A19stCroDVTOwKrvu1arofUO-ga-blRn4UJFuPSh_fJuUB38sF13Cc4a1UV79Zun4P3h_m2-zFbPi8d5tco0LcohUw1GBmMs6rrWZUOLhjOTI8w5y01ZCoZLVWODDSGGc4SY0GXNqKiNsDwN6BTcjHv74D_3Ng5y6_chfRAlKXLGCClzklSzUbVO58rWNX4ISqcwNn3snW3a1K8YY4IIyooEkBHQwccYbCP70O5UOEiM5NFnOfosk8_yx2eZJ4iOUExit7bh75Z_qG_Mzn6Y</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Ma, Huiyun</creator><creator>Yang, Zhi</creator><creator>Xie, Nanxing</creator><creator>Ye, Changqing</creator><creator>Xiong, Jie</creator><creator>Zhu, Kun</creator><creator>Cheng, Jiaoxiao</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20210501</creationdate><title>Dynamic Analysis Method Research and Application of Shale Gas Horizontal Well</title><author>Ma, Huiyun ; Yang, Zhi ; Xie, Nanxing ; Ye, Changqing ; Xiong, Jie ; Zhu, Kun ; Cheng, Jiaoxiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c358t-af10d1119bbbc8f35f76d4017764d889618ab1d1d22d770069c8b639bd9e7b1d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Flow distribution</topic><topic>Gas dynamics</topic><topic>Gas flow</topic><topic>Gas transmission</topic><topic>Gas transmission industry</topic><topic>Gas wells</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Horizontal wells</topic><topic>Industrial Chemistry/Chemical Engineering</topic><topic>Innovative Technologies of Oil and Gas</topic><topic>Methods</topic><topic>Mineral Resources</topic><topic>Multiple regression analysis</topic><topic>Natural gas</topic><topic>Percolation</topic><topic>Pressure drop</topic><topic>Reservoirs</topic><topic>Shale gas</topic><topic>Shale oils</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Huiyun</creatorcontrib><creatorcontrib>Yang, Zhi</creatorcontrib><creatorcontrib>Xie, Nanxing</creatorcontrib><creatorcontrib>Ye, Changqing</creatorcontrib><creatorcontrib>Xiong, Jie</creatorcontrib><creatorcontrib>Zhu, Kun</creatorcontrib><creatorcontrib>Cheng, Jiaoxiao</creatorcontrib><collection>CrossRef</collection><jtitle>Chemistry and technology of fuels and oils</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ma, Huiyun</au><au>Yang, Zhi</au><au>Xie, Nanxing</au><au>Ye, Changqing</au><au>Xiong, Jie</au><au>Zhu, Kun</au><au>Cheng, Jiaoxiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic Analysis Method Research and Application of Shale Gas Horizontal Well</atitle><jtitle>Chemistry and technology of fuels and oils</jtitle><stitle>Chem Technol Fuels Oils</stitle><date>2021-05-01</date><risdate>2021</risdate><volume>57</volume><issue>2</issue><spage>289</spage><epage>298</epage><pages>289-298</pages><issn>0009-3092</issn><eissn>1573-8310</eissn><abstract>As a rule, the production rate of a shale gas well is high at the initial stage and decreases within approximately one year of production. On the one hand, the rate of production of the horizontal shale gas well is obviously affected by the bottom hole liquid accumulation when even a cubic meter volume of accumulated liquid can lead to a complete cessation of gas production. On the other hand, the production rate is also sensitive to gas transmission pressure and the transmission mode. Due to the great difference in the gas production and percolation mechanism between a shale gas reservoir and a conventional gas reservoir; the error of prediction of the gas flow pattern can be very high. Based on the modern shale gas dynamics, the method of multiple regression analysis is proposed to predict the average pressure drop gradient of a gas well, and the average error rate is 9.0%. The new method has the advantages of high efficiency and low cost. According to the actual production data fitting, the gas wells are divided into stable production and unstable production wells, depending on the average pressure drop gradient, which effectively reflects the implementation of a well drainage gas production technology.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s10553-021-01249-4</doi><tpages>10</tpages></addata></record> |
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subjects | Chemistry Chemistry and Materials Science Flow distribution Gas dynamics Gas flow Gas transmission Gas transmission industry Gas wells Geotechnical Engineering & Applied Earth Sciences Horizontal wells Industrial Chemistry/Chemical Engineering Innovative Technologies of Oil and Gas Methods Mineral Resources Multiple regression analysis Natural gas Percolation Pressure drop Reservoirs Shale gas Shale oils |
title | Dynamic Analysis Method Research and Application of Shale Gas Horizontal Well |
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