Subsurface 3D prediction porosity model from converted seismic and well data using model based inversion technique
Seismic inversion technique is applied to 3D seismic data to predict porosity property for carbonate Yamama Formation (Early Cretaceous) in an area located in southern Iraq. A workflow is designed to guide the manual procedure of inversion process. The inversion use a Model Based Inversion technique...
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Veröffentlicht in: | Iraqi journal of science 2016, Vol.57 (1A), p.163-174 |
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creator | al-Rahim, Ali Makki Husayn Hashim, Hasan Ali |
description | Seismic inversion technique is applied to 3D seismic data to predict porosity property for carbonate Yamama Formation (Early Cretaceous) in an area located in southern Iraq. A workflow is designed to guide the manual procedure of inversion process. The inversion use a Model Based Inversion technique to convert 3D seismic data into 3D acoustic impedance depending on low frequency model and well data is the first step in the inversion with statistical control for each inversion stage. Then, training the 3D acoustic impedance volume, seismic data and porosity wells data with multi attribute transforms to find the best statistical attribute that is suitable to invert the point direct measurement of porosity from well to 3D porosity distributed volume. The final subsurface porosity model greatly improves the understanding of the distribution of porosity in the reservoir zones and showing the variations of porosity both vertically and laterally. The success of the prepared workflow encourage the transformation it automatically to run the same workflow faster for the areas that have the same characteristics of carbonate Yamama Formation. |
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A workflow is designed to guide the manual procedure of inversion process. The inversion use a Model Based Inversion technique to convert 3D seismic data into 3D acoustic impedance depending on low frequency model and well data is the first step in the inversion with statistical control for each inversion stage. Then, training the 3D acoustic impedance volume, seismic data and porosity wells data with multi attribute transforms to find the best statistical attribute that is suitable to invert the point direct measurement of porosity from well to 3D porosity distributed volume. The final subsurface porosity model greatly improves the understanding of the distribution of porosity in the reservoir zones and showing the variations of porosity both vertically and laterally. 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A workflow is designed to guide the manual procedure of inversion process. The inversion use a Model Based Inversion technique to convert 3D seismic data into 3D acoustic impedance depending on low frequency model and well data is the first step in the inversion with statistical control for each inversion stage. Then, training the 3D acoustic impedance volume, seismic data and porosity wells data with multi attribute transforms to find the best statistical attribute that is suitable to invert the point direct measurement of porosity from well to 3D porosity distributed volume. The final subsurface porosity model greatly improves the understanding of the distribution of porosity in the reservoir zones and showing the variations of porosity both vertically and laterally. The success of the prepared workflow encourage the transformation it automatically to run the same workflow faster for the areas that have the same characteristics of carbonate Yamama Formation.</description><subject>Data processing</subject><subject>Imaging systems in seismology</subject><subject>Seismic prospecting</subject><subject>Seismic reflection method</subject><subject>Three-dimensional display systems</subject><subject>التنقيب الزلزالي</subject><subject>معالجة البيانات</subject><issn>0067-2904</issn><issn>2312-1637</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqFjM0KwjAQhIMoWNRHEPYFCrGtrT37g3e9S5psdaVNajZVfHsreHcuMzDzzUhESbpK4lWeFmMRSZkXcVLKbCoWzHc5aCNlti4i4U99xb2vlUZId9B5NKQDOQud844pvKF1BhuovWtBO_tEH9AAI3FLGpQ18MKmAaOCgp7JXn9ApXjY0Rfg719AfbP06HEuJrVqGBc_n4nlYX_eHmNslcdaXTpPQ3pf8k1ZlFn6r_8A6FpKUw</recordid><startdate>2016</startdate><enddate>2016</enddate><creator>al-Rahim, Ali Makki Husayn</creator><creator>Hashim, Hasan Ali</creator><general>University of Baghdad, College of Science</general><scope>ADJCN</scope><scope>AGBXD</scope><scope>AHFXO</scope></search><sort><creationdate>2016</creationdate><title>Subsurface 3D prediction porosity model from converted seismic and well data using model based inversion technique</title><author>al-Rahim, Ali Makki Husayn ; Hashim, Hasan Ali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-emarefa_primary_6897943</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>ara ; eng</language><creationdate>2016</creationdate><topic>Data processing</topic><topic>Imaging systems in seismology</topic><topic>Seismic prospecting</topic><topic>Seismic reflection method</topic><topic>Three-dimensional display systems</topic><topic>التنقيب الزلزالي</topic><topic>معالجة البيانات</topic><toplevel>online_resources</toplevel><creatorcontrib>al-Rahim, Ali Makki Husayn</creatorcontrib><creatorcontrib>Hashim, Hasan Ali</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>قاعدة البيئة والطاقة والمياه - e-Marefa Water, Energy & Environment Issues</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><jtitle>Iraqi journal of science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>al-Rahim, Ali Makki Husayn</au><au>Hashim, Hasan Ali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Subsurface 3D prediction porosity model from converted seismic and well data using model based inversion technique</atitle><jtitle>Iraqi journal of science</jtitle><date>2016</date><risdate>2016</risdate><volume>57</volume><issue>1A</issue><spage>163</spage><epage>174</epage><pages>163-174</pages><issn>0067-2904</issn><eissn>2312-1637</eissn><abstract>Seismic inversion technique is applied to 3D seismic data to predict porosity property for carbonate Yamama Formation (Early Cretaceous) in an area located in southern Iraq. A workflow is designed to guide the manual procedure of inversion process. The inversion use a Model Based Inversion technique to convert 3D seismic data into 3D acoustic impedance depending on low frequency model and well data is the first step in the inversion with statistical control for each inversion stage. Then, training the 3D acoustic impedance volume, seismic data and porosity wells data with multi attribute transforms to find the best statistical attribute that is suitable to invert the point direct measurement of porosity from well to 3D porosity distributed volume. The final subsurface porosity model greatly improves the understanding of the distribution of porosity in the reservoir zones and showing the variations of porosity both vertically and laterally. The success of the prepared workflow encourage the transformation it automatically to run the same workflow faster for the areas that have the same characteristics of carbonate Yamama Formation.</abstract><cop>Baghdad, Iraq</cop><pub>University of Baghdad, College of Science</pub><tpages>12</tpages></addata></record> |
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ispartof | Iraqi journal of science, 2016, Vol.57 (1A), p.163-174 |
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language | ara ; eng |
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source | EZB-FREE-00999 freely available EZB journals |
subjects | Data processing Imaging systems in seismology Seismic prospecting Seismic reflection method Three-dimensional display systems التنقيب الزلزالي معالجة البيانات |
title | Subsurface 3D prediction porosity model from converted seismic and well data using model based inversion technique |
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