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Characterization of seafloor pockmark seepage of hydrocarbons employing fractal: A case study from the western continental margin of India
Here we apply quantitative technique to describe the seafloor seepages based on the multi-beam backscatter and bathymetric investigations to characterize the pockmark morphology. The variable seafloor backscatter strength for coarser seafloor sediments are related to the diagenesis derived from biod...
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Published in: | Marine and petroleum geology 2012, Vol.29 (1), p.115-128 |
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description | Here we apply quantitative technique to describe the seafloor seepages based on the multi-beam backscatter and bathymetric investigations to characterize the pockmark morphology. The variable seafloor backscatter strength for coarser seafloor sediments are related to the diagenesis derived from biodegraded seepages. In this regard, box counting method is used to estimate ‘fractal dimension’ for backscatter imagery data of 398 blocks. These blocks are further sub-grouped into six classes depending on the spread of pockmark related seepages. The study area lies 102 km west off Marmagao along the central west coast of India which contains pre-dominantly (70%) gas-charged sediments. Comparison between the estimated self-similar fractals reveals that there is approximately 97% correlation between the box (
D
box) and information (
D
info) dimensions. Box dimension–derived fractal dimension values, suggest that the seepages are more along the fault trace in deeper waters, in comparison to sparsely distributed shallow water seepages. Besides, this poor seepage is confined within the smooth to moderately rough seafloor. It is established that the high backscatter strength along the upper slope of the pockmark region having higher fractal dimensions reflects multifractal behavior of seepage distribution. Entire area indicates patchy seepage patterns as supported by estimated fractal values showing intermittent fluctuations, which emphasizes non-linear behavior. Estimated self organizing criticality (SOC) parameters for six representative blocks reveal that the nature of pockmark, fault trace, sediment nature coupled with slumping of pockmark’s wall, sediment movement due to bottom currents are controlling the dynamic balance in the area seepage system. Further, our study emphasizing the multifractal behavior of seepage blocks, clearly depicts the drift in the seepage pattern.
[Display omitted]
► Characteristics of pockmark related seafloor seepages have been examined. ► Influence of pockmark morphology on seepages are illustrated. ► Fractal techniques for understanding the seafloor seepages and fluid flow processes. ► Self-organized criticality to elucidate seepage dynamics and multifractal behavior. |
doi_str_mv | 10.1016/j.marpetgeo.2011.09.008 |
format | article |
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D
box) and information (
D
info) dimensions. Box dimension–derived fractal dimension values, suggest that the seepages are more along the fault trace in deeper waters, in comparison to sparsely distributed shallow water seepages. Besides, this poor seepage is confined within the smooth to moderately rough seafloor. It is established that the high backscatter strength along the upper slope of the pockmark region having higher fractal dimensions reflects multifractal behavior of seepage distribution. Entire area indicates patchy seepage patterns as supported by estimated fractal values showing intermittent fluctuations, which emphasizes non-linear behavior. Estimated self organizing criticality (SOC) parameters for six representative blocks reveal that the nature of pockmark, fault trace, sediment nature coupled with slumping of pockmark’s wall, sediment movement due to bottom currents are controlling the dynamic balance in the area seepage system. Further, our study emphasizing the multifractal behavior of seepage blocks, clearly depicts the drift in the seepage pattern.
[Display omitted]
► Characteristics of pockmark related seafloor seepages have been examined. ► Influence of pockmark morphology on seepages are illustrated. ► Fractal techniques for understanding the seafloor seepages and fluid flow processes. ► Self-organized criticality to elucidate seepage dynamics and multifractal behavior.</description><identifier>ISSN: 0264-8172</identifier><identifier>EISSN: 1873-4073</identifier><identifier>DOI: 10.1016/j.marpetgeo.2011.09.008</identifier><identifier>CODEN: MPEGD8</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Acoustic remote sensing ; Backscattering ; Box counting method ; Central west coast of India ; Dynamical systems ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Fractal analysis ; Fractal dimension ; Fractals ; Hydrocarbons ; Marine ; Marine geology ; Multibeam bathymetry and backscatter image ; Multifractal ; Nonlinear dynamics ; Off Marmagao ; Sea beds ; Seafloor seepage characterization ; Sedimentary rocks ; Sediments ; Seepage ; Self organizing criticality</subject><ispartof>Marine and petroleum geology, 2012, Vol.29 (1), p.115-128</ispartof><rights>2011 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a400t-9caaa28e4baa315fb4f4426391e1a22f4f8e241ff1092b377b0031cda18323993</citedby><cites>FETCH-LOGICAL-a400t-9caaa28e4baa315fb4f4426391e1a22f4f8e241ff1092b377b0031cda18323993</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25233143$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Dandapath, Sumanta</creatorcontrib><creatorcontrib>Chakraborty, Bishwajit</creatorcontrib><creatorcontrib>Maslov, Nicolas</creatorcontrib><creatorcontrib>Karisiddaiah, Siddaiah M.</creatorcontrib><creatorcontrib>Ghosh, Dhrupad</creatorcontrib><creatorcontrib>Fernandes, William</creatorcontrib><creatorcontrib>Menezes, Andrew</creatorcontrib><title>Characterization of seafloor pockmark seepage of hydrocarbons employing fractal: A case study from the western continental margin of India</title><title>Marine and petroleum geology</title><description>Here we apply quantitative technique to describe the seafloor seepages based on the multi-beam backscatter and bathymetric investigations to characterize the pockmark morphology. The variable seafloor backscatter strength for coarser seafloor sediments are related to the diagenesis derived from biodegraded seepages. In this regard, box counting method is used to estimate ‘fractal dimension’ for backscatter imagery data of 398 blocks. These blocks are further sub-grouped into six classes depending on the spread of pockmark related seepages. The study area lies 102 km west off Marmagao along the central west coast of India which contains pre-dominantly (70%) gas-charged sediments. Comparison between the estimated self-similar fractals reveals that there is approximately 97% correlation between the box (
D
box) and information (
D
info) dimensions. Box dimension–derived fractal dimension values, suggest that the seepages are more along the fault trace in deeper waters, in comparison to sparsely distributed shallow water seepages. Besides, this poor seepage is confined within the smooth to moderately rough seafloor. It is established that the high backscatter strength along the upper slope of the pockmark region having higher fractal dimensions reflects multifractal behavior of seepage distribution. Entire area indicates patchy seepage patterns as supported by estimated fractal values showing intermittent fluctuations, which emphasizes non-linear behavior. Estimated self organizing criticality (SOC) parameters for six representative blocks reveal that the nature of pockmark, fault trace, sediment nature coupled with slumping of pockmark’s wall, sediment movement due to bottom currents are controlling the dynamic balance in the area seepage system. Further, our study emphasizing the multifractal behavior of seepage blocks, clearly depicts the drift in the seepage pattern.
[Display omitted]
► Characteristics of pockmark related seafloor seepages have been examined. ► Influence of pockmark morphology on seepages are illustrated. ► Fractal techniques for understanding the seafloor seepages and fluid flow processes. ► Self-organized criticality to elucidate seepage dynamics and multifractal behavior.</description><subject>Acoustic remote sensing</subject><subject>Backscattering</subject><subject>Box counting method</subject><subject>Central west coast of India</subject><subject>Dynamical systems</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Fractal analysis</subject><subject>Fractal dimension</subject><subject>Fractals</subject><subject>Hydrocarbons</subject><subject>Marine</subject><subject>Marine geology</subject><subject>Multibeam bathymetry and backscatter image</subject><subject>Multifractal</subject><subject>Nonlinear dynamics</subject><subject>Off Marmagao</subject><subject>Sea beds</subject><subject>Seafloor seepage characterization</subject><subject>Sedimentary rocks</subject><subject>Sediments</subject><subject>Seepage</subject><subject>Self organizing criticality</subject><issn>0264-8172</issn><issn>1873-4073</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqFkMGOEzEMhkcIJMrCM5AL4tTBTtLODLeqYmGllbjAOfJknDbdaTIkU1B5BJ6alK72ysmS_fv_7a-q3iLUCLj-cKiPlCaedxxrCYg1dDVA-6xaYNuopYZGPa8WINd62WIjX1avcj4AQNMBLqo_2z0lsjMn_5tmH4OITmQmN8aYxBTtQ3F_KB2eaMeX4f48pGgp9TFkwcdpjGcfdsJdXGj8KDbCUmaR59NwLt14FPOexS_OJSMIG8PsA4ciFcV55_8F3oXB0-vqhaMx85vHelN9v_30bftlef_18912c78kDTAvO0tEsmXdEylcuV47reVadchIUjrtWpYanUPoZK-apgdQaAfCVknVdeqmen_1nVL8cSp3maPPlseRAsdTNh0irvQaZVE2V6VNMefEzkzJl6vPBsFc4JuDeYJvLvANdKbAL5vvHjMoWxoLnGB9flqXK6kUalV0m6uOy8M_PSeTredgefCJ7WyG6P-b9RcDH6HH</recordid><startdate>2012</startdate><enddate>2012</enddate><creator>Dandapath, Sumanta</creator><creator>Chakraborty, Bishwajit</creator><creator>Maslov, Nicolas</creator><creator>Karisiddaiah, Siddaiah M.</creator><creator>Ghosh, Dhrupad</creator><creator>Fernandes, William</creator><creator>Menezes, Andrew</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>2012</creationdate><title>Characterization of seafloor pockmark seepage of hydrocarbons employing fractal: A case study from the western continental margin of India</title><author>Dandapath, Sumanta ; Chakraborty, Bishwajit ; Maslov, Nicolas ; Karisiddaiah, Siddaiah M. ; Ghosh, Dhrupad ; Fernandes, William ; Menezes, Andrew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a400t-9caaa28e4baa315fb4f4426391e1a22f4f8e241ff1092b377b0031cda18323993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Acoustic remote sensing</topic><topic>Backscattering</topic><topic>Box counting method</topic><topic>Central west coast of India</topic><topic>Dynamical systems</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Fractal analysis</topic><topic>Fractal dimension</topic><topic>Fractals</topic><topic>Hydrocarbons</topic><topic>Marine</topic><topic>Marine geology</topic><topic>Multibeam bathymetry and backscatter image</topic><topic>Multifractal</topic><topic>Nonlinear dynamics</topic><topic>Off Marmagao</topic><topic>Sea beds</topic><topic>Seafloor seepage characterization</topic><topic>Sedimentary rocks</topic><topic>Sediments</topic><topic>Seepage</topic><topic>Self organizing criticality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dandapath, Sumanta</creatorcontrib><creatorcontrib>Chakraborty, Bishwajit</creatorcontrib><creatorcontrib>Maslov, Nicolas</creatorcontrib><creatorcontrib>Karisiddaiah, Siddaiah M.</creatorcontrib><creatorcontrib>Ghosh, Dhrupad</creatorcontrib><creatorcontrib>Fernandes, William</creatorcontrib><creatorcontrib>Menezes, Andrew</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Marine and petroleum geology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dandapath, Sumanta</au><au>Chakraborty, Bishwajit</au><au>Maslov, Nicolas</au><au>Karisiddaiah, Siddaiah M.</au><au>Ghosh, Dhrupad</au><au>Fernandes, William</au><au>Menezes, Andrew</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of seafloor pockmark seepage of hydrocarbons employing fractal: A case study from the western continental margin of India</atitle><jtitle>Marine and petroleum geology</jtitle><date>2012</date><risdate>2012</risdate><volume>29</volume><issue>1</issue><spage>115</spage><epage>128</epage><pages>115-128</pages><issn>0264-8172</issn><eissn>1873-4073</eissn><coden>MPEGD8</coden><abstract>Here we apply quantitative technique to describe the seafloor seepages based on the multi-beam backscatter and bathymetric investigations to characterize the pockmark morphology. The variable seafloor backscatter strength for coarser seafloor sediments are related to the diagenesis derived from biodegraded seepages. In this regard, box counting method is used to estimate ‘fractal dimension’ for backscatter imagery data of 398 blocks. These blocks are further sub-grouped into six classes depending on the spread of pockmark related seepages. The study area lies 102 km west off Marmagao along the central west coast of India which contains pre-dominantly (70%) gas-charged sediments. Comparison between the estimated self-similar fractals reveals that there is approximately 97% correlation between the box (
D
box) and information (
D
info) dimensions. Box dimension–derived fractal dimension values, suggest that the seepages are more along the fault trace in deeper waters, in comparison to sparsely distributed shallow water seepages. Besides, this poor seepage is confined within the smooth to moderately rough seafloor. It is established that the high backscatter strength along the upper slope of the pockmark region having higher fractal dimensions reflects multifractal behavior of seepage distribution. Entire area indicates patchy seepage patterns as supported by estimated fractal values showing intermittent fluctuations, which emphasizes non-linear behavior. Estimated self organizing criticality (SOC) parameters for six representative blocks reveal that the nature of pockmark, fault trace, sediment nature coupled with slumping of pockmark’s wall, sediment movement due to bottom currents are controlling the dynamic balance in the area seepage system. Further, our study emphasizing the multifractal behavior of seepage blocks, clearly depicts the drift in the seepage pattern.
[Display omitted]
► Characteristics of pockmark related seafloor seepages have been examined. ► Influence of pockmark morphology on seepages are illustrated. ► Fractal techniques for understanding the seafloor seepages and fluid flow processes. ► Self-organized criticality to elucidate seepage dynamics and multifractal behavior.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.marpetgeo.2011.09.008</doi><tpages>14</tpages></addata></record> |
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subjects | Acoustic remote sensing Backscattering Box counting method Central west coast of India Dynamical systems Earth sciences Earth, ocean, space Exact sciences and technology Fractal analysis Fractal dimension Fractals Hydrocarbons Marine Marine geology Multibeam bathymetry and backscatter image Multifractal Nonlinear dynamics Off Marmagao Sea beds Seafloor seepage characterization Sedimentary rocks Sediments Seepage Self organizing criticality |
title | Characterization of seafloor pockmark seepage of hydrocarbons employing fractal: A case study from the western continental margin of India |
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