How to avoid multiple scattering in strongly scattering SANS and USANS samples
•Multiple scattering effects studied through systematic SANS/USANS measurements.•Multiple scattering-minimized Q ranges are determined for each studied sample.•Optimum sample specific wavelength range are determined.•SAS-transmission (TSAS) of multiple scattering-minimized data is introduced.•An opt...
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| Veröffentlicht in: | Fuel (Guildford) 2022-10, Vol.325, p.124957, Article 124957 |
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| container_title | Fuel (Guildford) |
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| creator | Ji, Yeping Radlinski, Andrzej P. Blach, Tomasz de Campo, Liliana Vu, Phung Roshan, Hamid Regenauer-Lieb, Klaus |
| description | •Multiple scattering effects studied through systematic SANS/USANS measurements.•Multiple scattering-minimized Q ranges are determined for each studied sample.•Optimum sample specific wavelength range are determined.•SAS-transmission (TSAS) of multiple scattering-minimized data is introduced.•An optimized approach to eliminate MS effects based on TSAS is proposed.
Small Angle Neutron Scattering (SANS) and Ultra Small Angle Neutron Scattering (USANS) are the only available experimental techniques to provide seamless non-destructive measurements of the geometry of the accessible and inaccessible pore structure of rocks from sub-nanopore size to the scale of macropores. They have therefore become the measurement of choice for tight reservoir rocks such as organic rich shales. A simplifying assumption in the analysis is, however, that during the path of neutrons through the sample each neutron is only scattered once. Shales are samples with a high scattering power and Multiple Scattering (MS) may occur which requires special modelling for deconvolution of the results. The approach to avoid MS is to simply reduce the sample thickness to |
| doi_str_mv | 10.1016/j.fuel.2022.124957 |
| format | Article |
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Small Angle Neutron Scattering (SANS) and Ultra Small Angle Neutron Scattering (USANS) are the only available experimental techniques to provide seamless non-destructive measurements of the geometry of the accessible and inaccessible pore structure of rocks from sub-nanopore size to the scale of macropores. They have therefore become the measurement of choice for tight reservoir rocks such as organic rich shales. A simplifying assumption in the analysis is, however, that during the path of neutrons through the sample each neutron is only scattered once. Shales are samples with a high scattering power and Multiple Scattering (MS) may occur which requires special modelling for deconvolution of the results. The approach to avoid MS is to simply reduce the sample thickness to <0.15–0.5 mm. Here, wepresent a systematic method on wavelength selection and preparation of samples to optimise extraction of microstructural data and minimise parasitic errors. Experimentally measured SAS transmission (TSAS) values are used as a practical criterion for estimation of the extent of MS.Generous beamtime allocations allowed robust testing revealing that sample thicknesses can be twice as thick as predicted using the standard protocol. Analysing thicker samples is particularly beneficial for statistically relevant characterisation of heterogeneous samples making the new protocol the method of choice for such samples.</description><identifier>ISSN: 0016-2361</identifier><identifier>EISSN: 1873-7153</identifier><identifier>DOI: 10.1016/j.fuel.2022.124957</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>(U)SANS ; GEOSCIENCES ; MS-minimized Q-range ; Multiple scattering ; Neutron wavelength selection ; Sample thickness optimization ; TSAS</subject><ispartof>Fuel (Guildford), 2022-10, Vol.325, p.124957, Article 124957</ispartof><rights>2022 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c327t-2f62fb24266e0bad3344adf1f9c87b730cdb8905aed2d609c191a73b60f70203</citedby><cites>FETCH-LOGICAL-c327t-2f62fb24266e0bad3344adf1f9c87b730cdb8905aed2d609c191a73b60f70203</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0016236122017999$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/2419717$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Ji, Yeping</creatorcontrib><creatorcontrib>Radlinski, Andrzej P.</creatorcontrib><creatorcontrib>Blach, Tomasz</creatorcontrib><creatorcontrib>de Campo, Liliana</creatorcontrib><creatorcontrib>Vu, Phung</creatorcontrib><creatorcontrib>Roshan, Hamid</creatorcontrib><creatorcontrib>Regenauer-Lieb, Klaus</creatorcontrib><creatorcontrib>Indiana Univ., Bloomington, IN (United States)</creatorcontrib><title>How to avoid multiple scattering in strongly scattering SANS and USANS samples</title><title>Fuel (Guildford)</title><description>•Multiple scattering effects studied through systematic SANS/USANS measurements.•Multiple scattering-minimized Q ranges are determined for each studied sample.•Optimum sample specific wavelength range are determined.•SAS-transmission (TSAS) of multiple scattering-minimized data is introduced.•An optimized approach to eliminate MS effects based on TSAS is proposed.
Small Angle Neutron Scattering (SANS) and Ultra Small Angle Neutron Scattering (USANS) are the only available experimental techniques to provide seamless non-destructive measurements of the geometry of the accessible and inaccessible pore structure of rocks from sub-nanopore size to the scale of macropores. They have therefore become the measurement of choice for tight reservoir rocks such as organic rich shales. A simplifying assumption in the analysis is, however, that during the path of neutrons through the sample each neutron is only scattered once. Shales are samples with a high scattering power and Multiple Scattering (MS) may occur which requires special modelling for deconvolution of the results. The approach to avoid MS is to simply reduce the sample thickness to <0.15–0.5 mm. Here, wepresent a systematic method on wavelength selection and preparation of samples to optimise extraction of microstructural data and minimise parasitic errors. Experimentally measured SAS transmission (TSAS) values are used as a practical criterion for estimation of the extent of MS.Generous beamtime allocations allowed robust testing revealing that sample thicknesses can be twice as thick as predicted using the standard protocol. Analysing thicker samples is particularly beneficial for statistically relevant characterisation of heterogeneous samples making the new protocol the method of choice for such samples.</description><subject>(U)SANS</subject><subject>GEOSCIENCES</subject><subject>MS-minimized Q-range</subject><subject>Multiple scattering</subject><subject>Neutron wavelength selection</subject><subject>Sample thickness optimization</subject><subject>TSAS</subject><issn>0016-2361</issn><issn>1873-7153</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kMtOwzAQRS0EEqXwA6ws9gl-JHEisakqoEhVWbSsLceP4iq1K9st6t-TEBasWM1odM_V6ABwj1GOEa4ed7k56i4niJAck6Ip2QWY4JrRjOGSXoIJ6lMZoRW-Bjcx7hBCrC6LCVgt_BdMHoqTtwruj12yh07DKEVKOli3hdbBmIJ32-7897yerdZQOAU_frYo9j0Xb8GVEV3Ud79zCjYvz5v5Ilu-v77NZ8tMUsJSRkxFTEsKUlUatUJRWhRCGWwaWbOWUSRVWzeoFFoRVaFG4gYLRtsKGYYIolPwMNb6mCyP0iYtP6V3TsvESYEbhlkfImNIBh9j0IYfgt2LcOYY8cEa3_HBGh-s8dFaDz2NkO6_P1kdhnbtpFY2DOXK2__wb1uqdUE</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Ji, Yeping</creator><creator>Radlinski, Andrzej P.</creator><creator>Blach, Tomasz</creator><creator>de Campo, Liliana</creator><creator>Vu, Phung</creator><creator>Roshan, Hamid</creator><creator>Regenauer-Lieb, Klaus</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>OIOZB</scope><scope>OTOTI</scope></search><sort><creationdate>20221001</creationdate><title>How to avoid multiple scattering in strongly scattering SANS and USANS samples</title><author>Ji, Yeping ; Radlinski, Andrzej P. ; Blach, Tomasz ; de Campo, Liliana ; Vu, Phung ; Roshan, Hamid ; Regenauer-Lieb, Klaus</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c327t-2f62fb24266e0bad3344adf1f9c87b730cdb8905aed2d609c191a73b60f70203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>(U)SANS</topic><topic>GEOSCIENCES</topic><topic>MS-minimized Q-range</topic><topic>Multiple scattering</topic><topic>Neutron wavelength selection</topic><topic>Sample thickness optimization</topic><topic>TSAS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ji, Yeping</creatorcontrib><creatorcontrib>Radlinski, Andrzej P.</creatorcontrib><creatorcontrib>Blach, Tomasz</creatorcontrib><creatorcontrib>de Campo, Liliana</creatorcontrib><creatorcontrib>Vu, Phung</creatorcontrib><creatorcontrib>Roshan, Hamid</creatorcontrib><creatorcontrib>Regenauer-Lieb, Klaus</creatorcontrib><creatorcontrib>Indiana Univ., Bloomington, IN (United States)</creatorcontrib><collection>CrossRef</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><jtitle>Fuel (Guildford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ji, Yeping</au><au>Radlinski, Andrzej P.</au><au>Blach, Tomasz</au><au>de Campo, Liliana</au><au>Vu, Phung</au><au>Roshan, Hamid</au><au>Regenauer-Lieb, Klaus</au><aucorp>Indiana Univ., Bloomington, IN (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How to avoid multiple scattering in strongly scattering SANS and USANS samples</atitle><jtitle>Fuel (Guildford)</jtitle><date>2022-10-01</date><risdate>2022</risdate><volume>325</volume><spage>124957</spage><pages>124957-</pages><artnum>124957</artnum><issn>0016-2361</issn><eissn>1873-7153</eissn><abstract>•Multiple scattering effects studied through systematic SANS/USANS measurements.•Multiple scattering-minimized Q ranges are determined for each studied sample.•Optimum sample specific wavelength range are determined.•SAS-transmission (TSAS) of multiple scattering-minimized data is introduced.•An optimized approach to eliminate MS effects based on TSAS is proposed.
Small Angle Neutron Scattering (SANS) and Ultra Small Angle Neutron Scattering (USANS) are the only available experimental techniques to provide seamless non-destructive measurements of the geometry of the accessible and inaccessible pore structure of rocks from sub-nanopore size to the scale of macropores. They have therefore become the measurement of choice for tight reservoir rocks such as organic rich shales. A simplifying assumption in the analysis is, however, that during the path of neutrons through the sample each neutron is only scattered once. Shales are samples with a high scattering power and Multiple Scattering (MS) may occur which requires special modelling for deconvolution of the results. The approach to avoid MS is to simply reduce the sample thickness to <0.15–0.5 mm. Here, wepresent a systematic method on wavelength selection and preparation of samples to optimise extraction of microstructural data and minimise parasitic errors. Experimentally measured SAS transmission (TSAS) values are used as a practical criterion for estimation of the extent of MS.Generous beamtime allocations allowed robust testing revealing that sample thicknesses can be twice as thick as predicted using the standard protocol. Analysing thicker samples is particularly beneficial for statistically relevant characterisation of heterogeneous samples making the new protocol the method of choice for such samples.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.fuel.2022.124957</doi><oa>free_for_read</oa></addata></record> |
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| source | ScienceDirect Journals (5 years ago - present) |
| subjects | (U)SANS GEOSCIENCES MS-minimized Q-range Multiple scattering Neutron wavelength selection Sample thickness optimization TSAS |
| title | How to avoid multiple scattering in strongly scattering SANS and USANS samples |
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