Rock physics modeling of heterogeneous carbonate reservoirs: porosity estimation and hydrocarbon detection
In heterogeneous natural gas reservoirs, gas is generally present as small patchlike pockets embedded in the water-saturated host matrix. This type of heterogeneity, also called “patchy saturation”, causes significant seismic velocity dispersion and attenuation. To establish the relation between sei...
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| Veröffentlicht in: | Applied geophysics 2014-03, Vol.11 (1), p.9-22 |
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| creator | Yu, Hao Ba, Jing Carcione, Jose Li, Jin-Song Tang, Gang Zhang, Xing-Yang He, Xin-Zhen Ouyang, Hua |
| description | In heterogeneous natural gas reservoirs, gas is generally present as small patchlike pockets embedded in the water-saturated host matrix. This type of heterogeneity, also called “patchy saturation”, causes significant seismic velocity dispersion and attenuation. To establish the relation between seismic response and type of fluids, we designed a rock physics model for carbonates. First, we performed CT scanning and analysis of the fluid distribution in the partially saturated rocks. Then, we predicted the quantitative relation between the wave response at different frequency ranges and the basic lithological properties and pore fluids. A rock physics template was constructed based on thin section analysis of pore structures and seismic inversion. This approach was applied to the limestone gas reservoirs of the right bank block of the Amu Darya River. Based on poststack wave impedance and prestack elastic parameter inversions, the seismic data were used to estimate rock porosity and gas saturation. The model results were in good agreement with the production regime of the wells. |
| doi_str_mv | 10.1007/s11770-014-0413-9 |
| format | Article |
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This type of heterogeneity, also called “patchy saturation”, causes significant seismic velocity dispersion and attenuation. To establish the relation between seismic response and type of fluids, we designed a rock physics model for carbonates. First, we performed CT scanning and analysis of the fluid distribution in the partially saturated rocks. Then, we predicted the quantitative relation between the wave response at different frequency ranges and the basic lithological properties and pore fluids. A rock physics template was constructed based on thin section analysis of pore structures and seismic inversion. This approach was applied to the limestone gas reservoirs of the right bank block of the Amu Darya River. Based on poststack wave impedance and prestack elastic parameter inversions, the seismic data were used to estimate rock porosity and gas saturation. The model results were in good agreement with the production regime of the wells.</description><identifier>ISSN: 1672-7975</identifier><identifier>EISSN: 1993-0658</identifier><identifier>DOI: 10.1007/s11770-014-0413-9</identifier><language>eng</language><publisher>Heidelberg: Chinese Geophysical Society</publisher><subject>Carbonates ; Computational fluid dynamics ; Earth and Environmental Science ; Earth Sciences ; Fluid flow ; Fluids ; Geophysics ; Geophysics/Geodesy ; Geotechnical Engineering & Applied Earth Sciences ; Heterogeneity ; Limestone ; Mathematical models ; Natural gas ; Natural gas exploration ; Physics ; Porosity ; Reservoirs ; Rock ; Rocks ; Seismic response</subject><ispartof>Applied geophysics, 2014-03, Vol.11 (1), p.9-22</ispartof><rights>Editorial Office of Applied Geophysics and Springer-Verlag Berlin Heidelberg 2014</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a437t-38bc2e90475722fa73cfd2ec68e1204f5b2bd4c1c012d268cbe022b6c4217fc3</citedby><cites>FETCH-LOGICAL-a437t-38bc2e90475722fa73cfd2ec68e1204f5b2bd4c1c012d268cbe022b6c4217fc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/yydqwl/yydqwl.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11770-014-0413-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11770-014-0413-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids></links><search><creatorcontrib>Yu, Hao</creatorcontrib><creatorcontrib>Ba, Jing</creatorcontrib><creatorcontrib>Carcione, Jose</creatorcontrib><creatorcontrib>Li, Jin-Song</creatorcontrib><creatorcontrib>Tang, Gang</creatorcontrib><creatorcontrib>Zhang, Xing-Yang</creatorcontrib><creatorcontrib>He, Xin-Zhen</creatorcontrib><creatorcontrib>Ouyang, Hua</creatorcontrib><title>Rock physics modeling of heterogeneous carbonate reservoirs: porosity estimation and hydrocarbon detection</title><title>Applied geophysics</title><addtitle>Appl. Geophys</addtitle><description>In heterogeneous natural gas reservoirs, gas is generally present as small patchlike pockets embedded in the water-saturated host matrix. This type of heterogeneity, also called “patchy saturation”, causes significant seismic velocity dispersion and attenuation. To establish the relation between seismic response and type of fluids, we designed a rock physics model for carbonates. First, we performed CT scanning and analysis of the fluid distribution in the partially saturated rocks. Then, we predicted the quantitative relation between the wave response at different frequency ranges and the basic lithological properties and pore fluids. A rock physics template was constructed based on thin section analysis of pore structures and seismic inversion. This approach was applied to the limestone gas reservoirs of the right bank block of the Amu Darya River. Based on poststack wave impedance and prestack elastic parameter inversions, the seismic data were used to estimate rock porosity and gas saturation. The model results were in good agreement with the production regime of the wells.</description><subject>Carbonates</subject><subject>Computational fluid dynamics</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Fluid flow</subject><subject>Fluids</subject><subject>Geophysics</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Heterogeneity</subject><subject>Limestone</subject><subject>Mathematical models</subject><subject>Natural gas</subject><subject>Natural gas exploration</subject><subject>Physics</subject><subject>Porosity</subject><subject>Reservoirs</subject><subject>Rock</subject><subject>Rocks</subject><subject>Seismic response</subject><issn>1672-7975</issn><issn>1993-0658</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkUtr3DAUhU1poWmaH5CdoIt241T3Wg-ruxL6CAQCIXshy9cznnqkieRp8L-vpi6lFEpXEug7R_eeU1WXwK-Ac_0-A2jNaw6i5gKa2jyrzsCYpuZKts_LXWmstdHyZfUq5x3nqkElzqrdffTf2GG75NFnto89TWPYsDiwLc2U4oYCxWNm3qUuBjcTS5QpfY9jyh_YIaaYx3lhlOdx7-YxBuZCz7ZLn-IqYX3x8aeX19WLwU2ZLn6d59XD508P11_r27svN9cfb2snGj3XTdt5JMOFlhpxcLrxQ4_kVUuAXAyyw64XHjwH7FG1viOO2CkvEPTgm_Pq7Wr75MLgwsbu4jGF8qFdlv7xacKSES-ZYSHfreQhxcdjWcHux-xpmtzPnS0ogaiBK_1_VEqjhFbmhL75C_09AEhopWkbIwsFK-VLgjnRYA-pJJgWC9yeGrVro7ZMa0-NWlM0uGpyYcOG0h_O_xT9ADQ_pHY</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>Yu, Hao</creator><creator>Ba, Jing</creator><creator>Carcione, Jose</creator><creator>Li, Jin-Song</creator><creator>Tang, Gang</creator><creator>Zhang, Xing-Yang</creator><creator>He, Xin-Zhen</creator><creator>Ouyang, Hua</creator><general>Chinese Geophysical Society</general><general>Springer Nature B.V</general><general>Research Institute of Petroleum Exploration and Development, Petro China, Beijing 100083, China%Istituto Nazionale di Oceanografia edi Geofisica Sperimentale(OGS), Borgo Grotta Gigante 42c, Sgonico, Trieste 34010, Italy%Amu Darya Petroleum Company Ltd., CNPC, Beijing 102200, China</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>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>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20140301</creationdate><title>Rock physics modeling of heterogeneous carbonate reservoirs: porosity estimation and hydrocarbon detection</title><author>Yu, Hao ; Ba, Jing ; Carcione, Jose ; Li, Jin-Song ; Tang, Gang ; Zhang, Xing-Yang ; He, Xin-Zhen ; Ouyang, Hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a437t-38bc2e90475722fa73cfd2ec68e1204f5b2bd4c1c012d268cbe022b6c4217fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Carbonates</topic><topic>Computational fluid dynamics</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Fluid flow</topic><topic>Fluids</topic><topic>Geophysics</topic><topic>Geophysics/Geodesy</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Heterogeneity</topic><topic>Limestone</topic><topic>Mathematical models</topic><topic>Natural gas</topic><topic>Natural gas exploration</topic><topic>Physics</topic><topic>Porosity</topic><topic>Reservoirs</topic><topic>Rock</topic><topic>Rocks</topic><topic>Seismic response</topic><toplevel>online_resources</toplevel><creatorcontrib>Yu, Hao</creatorcontrib><creatorcontrib>Ba, Jing</creatorcontrib><creatorcontrib>Carcione, Jose</creatorcontrib><creatorcontrib>Li, Jin-Song</creatorcontrib><creatorcontrib>Tang, Gang</creatorcontrib><creatorcontrib>Zhang, Xing-Yang</creatorcontrib><creatorcontrib>He, Xin-Zhen</creatorcontrib><creatorcontrib>Ouyang, Hua</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>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>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>ProQuest Central Basic</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Applied geophysics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Hao</au><au>Ba, Jing</au><au>Carcione, Jose</au><au>Li, Jin-Song</au><au>Tang, Gang</au><au>Zhang, Xing-Yang</au><au>He, Xin-Zhen</au><au>Ouyang, Hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rock physics modeling of heterogeneous carbonate reservoirs: porosity estimation and hydrocarbon detection</atitle><jtitle>Applied geophysics</jtitle><stitle>Appl. Geophys</stitle><date>2014-03-01</date><risdate>2014</risdate><volume>11</volume><issue>1</issue><spage>9</spage><epage>22</epage><pages>9-22</pages><issn>1672-7975</issn><eissn>1993-0658</eissn><abstract>In heterogeneous natural gas reservoirs, gas is generally present as small patchlike pockets embedded in the water-saturated host matrix. This type of heterogeneity, also called “patchy saturation”, causes significant seismic velocity dispersion and attenuation. To establish the relation between seismic response and type of fluids, we designed a rock physics model for carbonates. First, we performed CT scanning and analysis of the fluid distribution in the partially saturated rocks. Then, we predicted the quantitative relation between the wave response at different frequency ranges and the basic lithological properties and pore fluids. A rock physics template was constructed based on thin section analysis of pore structures and seismic inversion. This approach was applied to the limestone gas reservoirs of the right bank block of the Amu Darya River. Based on poststack wave impedance and prestack elastic parameter inversions, the seismic data were used to estimate rock porosity and gas saturation. The model results were in good agreement with the production regime of the wells.</abstract><cop>Heidelberg</cop><pub>Chinese Geophysical Society</pub><doi>10.1007/s11770-014-0413-9</doi><tpages>14</tpages></addata></record> |
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| ispartof | Applied geophysics, 2014-03, Vol.11 (1), p.9-22 |
| issn | 1672-7975 1993-0658 |
| language | eng |
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| source | Alma/SFX Local Collection; SpringerLink Journals - AutoHoldings |
| subjects | Carbonates Computational fluid dynamics Earth and Environmental Science Earth Sciences Fluid flow Fluids Geophysics Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Heterogeneity Limestone Mathematical models Natural gas Natural gas exploration Physics Porosity Reservoirs Rock Rocks Seismic response |
| title | Rock physics modeling of heterogeneous carbonate reservoirs: porosity estimation and hydrocarbon detection |
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