A novel method to estimate subsurface shale gas capacities
[Display omitted] •A novel method for estimation of subsurface shale gas capacities was proposed.•Estimated subsurface shale gas capacities by different methods were compared.•The newly proposed method first incorporates the composition of adsorbed gas. In order to evaluate shale gas content more ac...
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Veröffentlicht in: | Fuel (Guildford) 2018-11, Vol.232, p.341-350 |
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creator | Huang, Hexin Sun, Wei Xiong, Fengyang Chen, Lei Li, Xin Gao, Tian Jiang, Zhenxue Ji, Wei Wu, Yanjun Han, Jin |
description | [Display omitted]
•A novel method for estimation of subsurface shale gas capacities was proposed.•Estimated subsurface shale gas capacities by different methods were compared.•The newly proposed method first incorporates the composition of adsorbed gas.
In order to evaluate shale gas content more accurately, a novel method for estimation of shale gas content in place is proposed based on the Polanyi adsorption potential and the London dispersion potential energy (P-L method). A series of integrated analyses were conducted on one shale core sample from the 7th member of Yanchang Formation (Chang 7 Member) in Ordos Basin, NW China, including on-site canister desorption tests, high-pressure methane adsorption isotherms, helium-based porosimetry, and gas composition analysis. On the basis of our experimental results, the P-L method and the commonly used ‘direct’ (based on measurement of desorbed gas) and ‘indirect’ (based on measurement of pore volume and state of equation) methods were used, respectively, to model the in-situ shale gas content. The results show that the shale gas content under the same experimental conditions predicted by the P-L method was 4.398 cm3/g and that by the direct method was 1.668 cm3/g, which is significantly lower. Meanwhile, those under the same lab conditions by the P-L method and the indirect method are 3.954 cm3/g and 3.820 cm3/g, respectively. Direct methods are more sensitive to human errors than the indirect methods, remove the impact of arbitrary factors by operators, and can shed light on the actual shale gas content in place based on the measured properties of samples. The P-L method is supported by well-developed theoretical basis. Through comparison between all these three methods, the results by the P-L method can be reasonable and practicable, and could be used to recover shale gas content in-situ during the shale gas resource potential assessment. |
doi_str_mv | 10.1016/j.fuel.2018.05.172 |
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fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2104175939</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0016236118310184</els_id><sourcerecordid>2104175939</sourcerecordid><originalsourceid>FETCH-LOGICAL-c365t-e30e5e9aa3d0567a83094238e0ebfb4e35727323362753b85abc968fd47b8f003</originalsourceid><addsrcrecordid>eNp9kM1OwzAQhC0EEqXwApwicU5Ye-PYQVyqij-pEhc4W46zoYnSpthJJd4eR-XMafcwszvzMXbLIePAi_suaybqMwFcZyAzrsQZW3CtMFVc4jlbQFSlAgt-ya5C6ABAaZkv2MMq2Q9H6pMdjduhTsYhoTC2OztSEqYqTL6xLq5b21PyZUPi7MG6dmwpXLOLxvaBbv7mkn0-P32sX9PN-8vberVJHRZyTAmBJJXWYg2yUFYjlLlATUBVU-WEUgmFArEQSmKlpa1cWeimzlWlGwBcsrvT3YMfvqeYznTD5PfxpREccq5kiWVUiZPK-SEET405-FjD_xgOZmZkOjMzMjMjA9JERtH0eDJRzH9syZvgWto7qltPbjT10P5n_wWbrG5O</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2104175939</pqid></control><display><type>article</type><title>A novel method to estimate subsurface shale gas capacities</title><source>Elsevier ScienceDirect Journals</source><creator>Huang, Hexin ; Sun, Wei ; Xiong, Fengyang ; Chen, Lei ; Li, Xin ; Gao, Tian ; Jiang, Zhenxue ; Ji, Wei ; Wu, Yanjun ; Han, Jin</creator><creatorcontrib>Huang, Hexin ; Sun, Wei ; Xiong, Fengyang ; Chen, Lei ; Li, Xin ; Gao, Tian ; Jiang, Zhenxue ; Ji, Wei ; Wu, Yanjun ; Han, Jin</creatorcontrib><description>[Display omitted]
•A novel method for estimation of subsurface shale gas capacities was proposed.•Estimated subsurface shale gas capacities by different methods were compared.•The newly proposed method first incorporates the composition of adsorbed gas.
In order to evaluate shale gas content more accurately, a novel method for estimation of shale gas content in place is proposed based on the Polanyi adsorption potential and the London dispersion potential energy (P-L method). A series of integrated analyses were conducted on one shale core sample from the 7th member of Yanchang Formation (Chang 7 Member) in Ordos Basin, NW China, including on-site canister desorption tests, high-pressure methane adsorption isotherms, helium-based porosimetry, and gas composition analysis. On the basis of our experimental results, the P-L method and the commonly used ‘direct’ (based on measurement of desorbed gas) and ‘indirect’ (based on measurement of pore volume and state of equation) methods were used, respectively, to model the in-situ shale gas content. The results show that the shale gas content under the same experimental conditions predicted by the P-L method was 4.398 cm3/g and that by the direct method was 1.668 cm3/g, which is significantly lower. Meanwhile, those under the same lab conditions by the P-L method and the indirect method are 3.954 cm3/g and 3.820 cm3/g, respectively. Direct methods are more sensitive to human errors than the indirect methods, remove the impact of arbitrary factors by operators, and can shed light on the actual shale gas content in place based on the measured properties of samples. The P-L method is supported by well-developed theoretical basis. Through comparison between all these three methods, the results by the P-L method can be reasonable and practicable, and could be used to recover shale gas content in-situ during the shale gas resource potential assessment.</description><identifier>ISSN: 0016-2361</identifier><identifier>EISSN: 1873-7153</identifier><identifier>DOI: 10.1016/j.fuel.2018.05.172</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Adsorption ; Canister desorption test ; Gas composition ; Helium ; Human error ; Methane ; Methane isothermal adsorption ; Oil recovery ; Oil shale ; Ordos Basin ; Potential energy ; Recovery of gas content ; Shale gas ; Yanchang formation</subject><ispartof>Fuel (Guildford), 2018-11, Vol.232, p.341-350</ispartof><rights>2018 Elsevier Ltd</rights><rights>Copyright Elsevier BV Nov 15, 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-e30e5e9aa3d0567a83094238e0ebfb4e35727323362753b85abc968fd47b8f003</citedby><cites>FETCH-LOGICAL-c365t-e30e5e9aa3d0567a83094238e0ebfb4e35727323362753b85abc968fd47b8f003</cites><orcidid>0000-0001-8280-0818</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0016236118310184$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Huang, Hexin</creatorcontrib><creatorcontrib>Sun, Wei</creatorcontrib><creatorcontrib>Xiong, Fengyang</creatorcontrib><creatorcontrib>Chen, Lei</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Gao, Tian</creatorcontrib><creatorcontrib>Jiang, Zhenxue</creatorcontrib><creatorcontrib>Ji, Wei</creatorcontrib><creatorcontrib>Wu, Yanjun</creatorcontrib><creatorcontrib>Han, Jin</creatorcontrib><title>A novel method to estimate subsurface shale gas capacities</title><title>Fuel (Guildford)</title><description>[Display omitted]
•A novel method for estimation of subsurface shale gas capacities was proposed.•Estimated subsurface shale gas capacities by different methods were compared.•The newly proposed method first incorporates the composition of adsorbed gas.
In order to evaluate shale gas content more accurately, a novel method for estimation of shale gas content in place is proposed based on the Polanyi adsorption potential and the London dispersion potential energy (P-L method). A series of integrated analyses were conducted on one shale core sample from the 7th member of Yanchang Formation (Chang 7 Member) in Ordos Basin, NW China, including on-site canister desorption tests, high-pressure methane adsorption isotherms, helium-based porosimetry, and gas composition analysis. On the basis of our experimental results, the P-L method and the commonly used ‘direct’ (based on measurement of desorbed gas) and ‘indirect’ (based on measurement of pore volume and state of equation) methods were used, respectively, to model the in-situ shale gas content. The results show that the shale gas content under the same experimental conditions predicted by the P-L method was 4.398 cm3/g and that by the direct method was 1.668 cm3/g, which is significantly lower. Meanwhile, those under the same lab conditions by the P-L method and the indirect method are 3.954 cm3/g and 3.820 cm3/g, respectively. Direct methods are more sensitive to human errors than the indirect methods, remove the impact of arbitrary factors by operators, and can shed light on the actual shale gas content in place based on the measured properties of samples. The P-L method is supported by well-developed theoretical basis. Through comparison between all these three methods, the results by the P-L method can be reasonable and practicable, and could be used to recover shale gas content in-situ during the shale gas resource potential assessment.</description><subject>Adsorption</subject><subject>Canister desorption test</subject><subject>Gas composition</subject><subject>Helium</subject><subject>Human error</subject><subject>Methane</subject><subject>Methane isothermal adsorption</subject><subject>Oil recovery</subject><subject>Oil shale</subject><subject>Ordos Basin</subject><subject>Potential energy</subject><subject>Recovery of gas content</subject><subject>Shale gas</subject><subject>Yanchang formation</subject><issn>0016-2361</issn><issn>1873-7153</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp9kM1OwzAQhC0EEqXwApwicU5Ye-PYQVyqij-pEhc4W46zoYnSpthJJd4eR-XMafcwszvzMXbLIePAi_suaybqMwFcZyAzrsQZW3CtMFVc4jlbQFSlAgt-ya5C6ABAaZkv2MMq2Q9H6pMdjduhTsYhoTC2OztSEqYqTL6xLq5b21PyZUPi7MG6dmwpXLOLxvaBbv7mkn0-P32sX9PN-8vberVJHRZyTAmBJJXWYg2yUFYjlLlATUBVU-WEUgmFArEQSmKlpa1cWeimzlWlGwBcsrvT3YMfvqeYznTD5PfxpREccq5kiWVUiZPK-SEET405-FjD_xgOZmZkOjMzMjMjA9JERtH0eDJRzH9syZvgWto7qltPbjT10P5n_wWbrG5O</recordid><startdate>20181115</startdate><enddate>20181115</enddate><creator>Huang, Hexin</creator><creator>Sun, Wei</creator><creator>Xiong, Fengyang</creator><creator>Chen, Lei</creator><creator>Li, Xin</creator><creator>Gao, Tian</creator><creator>Jiang, Zhenxue</creator><creator>Ji, Wei</creator><creator>Wu, Yanjun</creator><creator>Han, Jin</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><orcidid>https://orcid.org/0000-0001-8280-0818</orcidid></search><sort><creationdate>20181115</creationdate><title>A novel method to estimate subsurface shale gas capacities</title><author>Huang, Hexin ; Sun, Wei ; Xiong, Fengyang ; Chen, Lei ; Li, Xin ; Gao, Tian ; Jiang, Zhenxue ; Ji, Wei ; Wu, Yanjun ; Han, Jin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-e30e5e9aa3d0567a83094238e0ebfb4e35727323362753b85abc968fd47b8f003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adsorption</topic><topic>Canister desorption test</topic><topic>Gas composition</topic><topic>Helium</topic><topic>Human error</topic><topic>Methane</topic><topic>Methane isothermal adsorption</topic><topic>Oil recovery</topic><topic>Oil shale</topic><topic>Ordos Basin</topic><topic>Potential energy</topic><topic>Recovery of gas content</topic><topic>Shale gas</topic><topic>Yanchang formation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Hexin</creatorcontrib><creatorcontrib>Sun, Wei</creatorcontrib><creatorcontrib>Xiong, Fengyang</creatorcontrib><creatorcontrib>Chen, Lei</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><creatorcontrib>Gao, Tian</creatorcontrib><creatorcontrib>Jiang, Zhenxue</creatorcontrib><creatorcontrib>Ji, Wei</creatorcontrib><creatorcontrib>Wu, Yanjun</creatorcontrib><creatorcontrib>Han, Jin</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Fuel (Guildford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Hexin</au><au>Sun, Wei</au><au>Xiong, Fengyang</au><au>Chen, Lei</au><au>Li, Xin</au><au>Gao, Tian</au><au>Jiang, Zhenxue</au><au>Ji, Wei</au><au>Wu, Yanjun</au><au>Han, Jin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel method to estimate subsurface shale gas capacities</atitle><jtitle>Fuel (Guildford)</jtitle><date>2018-11-15</date><risdate>2018</risdate><volume>232</volume><spage>341</spage><epage>350</epage><pages>341-350</pages><issn>0016-2361</issn><eissn>1873-7153</eissn><abstract>[Display omitted]
•A novel method for estimation of subsurface shale gas capacities was proposed.•Estimated subsurface shale gas capacities by different methods were compared.•The newly proposed method first incorporates the composition of adsorbed gas.
In order to evaluate shale gas content more accurately, a novel method for estimation of shale gas content in place is proposed based on the Polanyi adsorption potential and the London dispersion potential energy (P-L method). A series of integrated analyses were conducted on one shale core sample from the 7th member of Yanchang Formation (Chang 7 Member) in Ordos Basin, NW China, including on-site canister desorption tests, high-pressure methane adsorption isotherms, helium-based porosimetry, and gas composition analysis. On the basis of our experimental results, the P-L method and the commonly used ‘direct’ (based on measurement of desorbed gas) and ‘indirect’ (based on measurement of pore volume and state of equation) methods were used, respectively, to model the in-situ shale gas content. The results show that the shale gas content under the same experimental conditions predicted by the P-L method was 4.398 cm3/g and that by the direct method was 1.668 cm3/g, which is significantly lower. Meanwhile, those under the same lab conditions by the P-L method and the indirect method are 3.954 cm3/g and 3.820 cm3/g, respectively. Direct methods are more sensitive to human errors than the indirect methods, remove the impact of arbitrary factors by operators, and can shed light on the actual shale gas content in place based on the measured properties of samples. The P-L method is supported by well-developed theoretical basis. Through comparison between all these three methods, the results by the P-L method can be reasonable and practicable, and could be used to recover shale gas content in-situ during the shale gas resource potential assessment.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.fuel.2018.05.172</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-8280-0818</orcidid></addata></record> |
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subjects | Adsorption Canister desorption test Gas composition Helium Human error Methane Methane isothermal adsorption Oil recovery Oil shale Ordos Basin Potential energy Recovery of gas content Shale gas Yanchang formation |
title | A novel method to estimate subsurface shale gas capacities |
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