A Method for Well Logging Identification and Evaluation of Low-Resistivity Gas Hydrate Layers
The Muli area has dense lithology, high hardness, poor porosity and permeability, and well-developed micro-fractures, which is different from other gas hydrate regions with unconsolidated sediment characteristics. With the gradual deepening of gas hydrate scientific research in the Muli area, some u...
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| Veröffentlicht in: | Pure and applied geophysics 2022-09, Vol.179 (9), p.3357-3376 |
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| creator | Dong, Huaimin Sun, Jianmeng Arif, Muhammad Liu, Xuefeng Golsanami, Naser Yan, Weichao Cui, Likai Zhang, Yihuai |
| description | The Muli area has dense lithology, high hardness, poor porosity and permeability, and well-developed micro-fractures, which is different from other gas hydrate regions with unconsolidated sediment characteristics. With the gradual deepening of gas hydrate scientific research in the Muli area, some unique low-resistivity gas hydrate phenomena have been discovered. The understanding of the genesis mechanism of low-resistivity gas hydrate is not clear, which makes it difficult to identify gas hydrate layers and adversely affects the evaluation of reservoir parameters and reserves prediction. In this investigation, the well logging response law of pore-filling and fracture-filling gas hydrate reservoirs is systematically combined and the associated reservoir characteristics relationships are evaluated as a function of lithology, physical properties, reservoir space, gas hydrate and fluid distribution characteristics. Then, the correlation between cementation index and pore structure complexity index was fitted. Finally, a new gas hydrate saturation calculation model is proposed. The results show that the new saturation calculation model is in good agreement with the well logging interpretation of gas hydrate, which can identify low-resistivity gas hydrate effectively. The results of this study thus assist in terms of reliable gas hydrate exploration in the Muli area. |
| doi_str_mv | 10.1007/s00024-022-03120-x |
| format | Article |
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With the gradual deepening of gas hydrate scientific research in the Muli area, some unique low-resistivity gas hydrate phenomena have been discovered. The understanding of the genesis mechanism of low-resistivity gas hydrate is not clear, which makes it difficult to identify gas hydrate layers and adversely affects the evaluation of reservoir parameters and reserves prediction. In this investigation, the well logging response law of pore-filling and fracture-filling gas hydrate reservoirs is systematically combined and the associated reservoir characteristics relationships are evaluated as a function of lithology, physical properties, reservoir space, gas hydrate and fluid distribution characteristics. Then, the correlation between cementation index and pore structure complexity index was fitted. Finally, a new gas hydrate saturation calculation model is proposed. The results show that the new saturation calculation model is in good agreement with the well logging interpretation of gas hydrate, which can identify low-resistivity gas hydrate effectively. The results of this study thus assist in terms of reliable gas hydrate exploration in the Muli area.</description><identifier>ISSN: 0033-4553</identifier><identifier>EISSN: 1420-9136</identifier><identifier>DOI: 10.1007/s00024-022-03120-x</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Cementation ; Earth and Environmental Science ; Earth Sciences ; Electrical resistivity ; Fractures ; Gas hydrates ; Geophysics/Geodesy ; Hydrates ; Lithology ; Mathematical models ; Permeability ; Physical properties ; Porosity ; Reservoirs ; Saturation ; Scientific research ; Water hardness ; Well logging</subject><ispartof>Pure and applied geophysics, 2022-09, Vol.179 (9), p.3357-3376</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a342t-ab367345c961cc7278eb1f0728c4d76d6f4af7ce0feab0e6ebed3a277ad178123</citedby><cites>FETCH-LOGICAL-a342t-ab367345c961cc7278eb1f0728c4d76d6f4af7ce0feab0e6ebed3a277ad178123</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/s00024-022-03120-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00024-022-03120-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Dong, Huaimin</creatorcontrib><creatorcontrib>Sun, Jianmeng</creatorcontrib><creatorcontrib>Arif, Muhammad</creatorcontrib><creatorcontrib>Liu, Xuefeng</creatorcontrib><creatorcontrib>Golsanami, Naser</creatorcontrib><creatorcontrib>Yan, Weichao</creatorcontrib><creatorcontrib>Cui, Likai</creatorcontrib><creatorcontrib>Zhang, Yihuai</creatorcontrib><title>A Method for Well Logging Identification and Evaluation of Low-Resistivity Gas Hydrate Layers</title><title>Pure and applied geophysics</title><addtitle>Pure Appl. Geophys</addtitle><description>The Muli area has dense lithology, high hardness, poor porosity and permeability, and well-developed micro-fractures, which is different from other gas hydrate regions with unconsolidated sediment characteristics. With the gradual deepening of gas hydrate scientific research in the Muli area, some unique low-resistivity gas hydrate phenomena have been discovered. The understanding of the genesis mechanism of low-resistivity gas hydrate is not clear, which makes it difficult to identify gas hydrate layers and adversely affects the evaluation of reservoir parameters and reserves prediction. In this investigation, the well logging response law of pore-filling and fracture-filling gas hydrate reservoirs is systematically combined and the associated reservoir characteristics relationships are evaluated as a function of lithology, physical properties, reservoir space, gas hydrate and fluid distribution characteristics. Then, the correlation between cementation index and pore structure complexity index was fitted. Finally, a new gas hydrate saturation calculation model is proposed. The results show that the new saturation calculation model is in good agreement with the well logging interpretation of gas hydrate, which can identify low-resistivity gas hydrate effectively. The results of this study thus assist in terms of reliable gas hydrate exploration in the Muli area.</description><subject>Cementation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Electrical resistivity</subject><subject>Fractures</subject><subject>Gas hydrates</subject><subject>Geophysics/Geodesy</subject><subject>Hydrates</subject><subject>Lithology</subject><subject>Mathematical models</subject><subject>Permeability</subject><subject>Physical properties</subject><subject>Porosity</subject><subject>Reservoirs</subject><subject>Saturation</subject><subject>Scientific research</subject><subject>Water hardness</subject><subject>Well logging</subject><issn>0033-4553</issn><issn>1420-9136</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kNFKwzAUhoMoOKcv4FXA6-hJ0jbb5RhzG1QEUbySkDZJ7ajtTLK5vr2ZFbzzKifw_f_hfAhdU7ilAOLOAwBLCDBGgFMG5HCCRjSJw5Ty7BSNADgnSZryc3Th_QaACpFOR-hthh9MeO80tp3Dr6ZpcN5VVd1WeK1NG2pblyrUXYtVq_Fir5rd8O1sBL_Ik_G1D_W-Dj1eKo9XvXYqGJyr3jh_ic6sary5-n3H6OV-8TxfkfxxuZ7PcqJ4wgJRBc8ET9JymtGyFExMTEEtCDYpEy0yndlEWVEasEYVYDJTGM0VE0JpKiaU8TG6GXq3rvvcGR_kptu5Nq6ULNbB8VYaKTZQpeu8d8bKras_lOslBXnUKAeNMmqUPxrlIYb4EPIRbivj_qr_SX0DvyR2MQ</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Dong, Huaimin</creator><creator>Sun, Jianmeng</creator><creator>Arif, Muhammad</creator><creator>Liu, Xuefeng</creator><creator>Golsanami, Naser</creator><creator>Yan, Weichao</creator><creator>Cui, Likai</creator><creator>Zhang, Yihuai</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M2P</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope></search><sort><creationdate>20220901</creationdate><title>A Method for Well Logging Identification and Evaluation of Low-Resistivity Gas Hydrate Layers</title><author>Dong, Huaimin ; Sun, Jianmeng ; Arif, Muhammad ; Liu, Xuefeng ; Golsanami, Naser ; Yan, Weichao ; Cui, Likai ; Zhang, Yihuai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a342t-ab367345c961cc7278eb1f0728c4d76d6f4af7ce0feab0e6ebed3a277ad178123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Cementation</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Electrical resistivity</topic><topic>Fractures</topic><topic>Gas hydrates</topic><topic>Geophysics/Geodesy</topic><topic>Hydrates</topic><topic>Lithology</topic><topic>Mathematical models</topic><topic>Permeability</topic><topic>Physical properties</topic><topic>Porosity</topic><topic>Reservoirs</topic><topic>Saturation</topic><topic>Scientific research</topic><topic>Water hardness</topic><topic>Well logging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dong, Huaimin</creatorcontrib><creatorcontrib>Sun, Jianmeng</creatorcontrib><creatorcontrib>Arif, Muhammad</creatorcontrib><creatorcontrib>Liu, Xuefeng</creatorcontrib><creatorcontrib>Golsanami, Naser</creatorcontrib><creatorcontrib>Yan, Weichao</creatorcontrib><creatorcontrib>Cui, Likai</creatorcontrib><creatorcontrib>Zhang, Yihuai</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Pure and applied geophysics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dong, Huaimin</au><au>Sun, Jianmeng</au><au>Arif, Muhammad</au><au>Liu, Xuefeng</au><au>Golsanami, Naser</au><au>Yan, Weichao</au><au>Cui, Likai</au><au>Zhang, Yihuai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Method for Well Logging Identification and Evaluation of Low-Resistivity Gas Hydrate Layers</atitle><jtitle>Pure and applied geophysics</jtitle><stitle>Pure Appl. Geophys</stitle><date>2022-09-01</date><risdate>2022</risdate><volume>179</volume><issue>9</issue><spage>3357</spage><epage>3376</epage><pages>3357-3376</pages><issn>0033-4553</issn><eissn>1420-9136</eissn><abstract>The Muli area has dense lithology, high hardness, poor porosity and permeability, and well-developed micro-fractures, which is different from other gas hydrate regions with unconsolidated sediment characteristics. With the gradual deepening of gas hydrate scientific research in the Muli area, some unique low-resistivity gas hydrate phenomena have been discovered. The understanding of the genesis mechanism of low-resistivity gas hydrate is not clear, which makes it difficult to identify gas hydrate layers and adversely affects the evaluation of reservoir parameters and reserves prediction. In this investigation, the well logging response law of pore-filling and fracture-filling gas hydrate reservoirs is systematically combined and the associated reservoir characteristics relationships are evaluated as a function of lithology, physical properties, reservoir space, gas hydrate and fluid distribution characteristics. Then, the correlation between cementation index and pore structure complexity index was fitted. Finally, a new gas hydrate saturation calculation model is proposed. The results show that the new saturation calculation model is in good agreement with the well logging interpretation of gas hydrate, which can identify low-resistivity gas hydrate effectively. The results of this study thus assist in terms of reliable gas hydrate exploration in the Muli area.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s00024-022-03120-x</doi><tpages>20</tpages></addata></record> |
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| subjects | Cementation Earth and Environmental Science Earth Sciences Electrical resistivity Fractures Gas hydrates Geophysics/Geodesy Hydrates Lithology Mathematical models Permeability Physical properties Porosity Reservoirs Saturation Scientific research Water hardness Well logging |
| title | A Method for Well Logging Identification and Evaluation of Low-Resistivity Gas Hydrate Layers |
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