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《Well Logging Technology》 2011-03
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Evaluation of Favorable Microfacies Belts and Division of Effective Thickness of Reservoir by Logging Data

SONG Ziqi1,2,ZHANG Liang1,2,SUN Baodian2,CHENG Zhigang2,JING Cheng1,2,HE Yufei1,2(1.Engineering Research Center of Western Low & Ultra-low Permeability Oilfield Development & Management,Ministry of Education,Xi'an Shiyou University,Xi'an,Shaanxi 710065,China;2.Evaluation Center of China Petroleum Logging CO.LTD.,Xi'an,Shaanxi 710077,China)  
In the Yanmuxi oil region,the low resistivity reservoir is influenced by sedimentary facies,fractures,structures and lithologies,so it is difficult to use the logging information.Single sand thickness energy information is picked up by several logging methods to reflect the relatively high permeability's largest sedimentary energy and thickness divergence.On the basis of that,we find out the underwater braided channel to shallow channel sand body are the favorable sedimentary microfacies and distribution regions.And it overcomes the lapse about classifying the frame sedimentary facies due to the total sand thickness in several genetic similar thin sand layers or sand-clay layers.Through the statistic of diameter,natural gamma ray,density,neutrons,acoustic as well as lithologic character,porosity and sedimentary thickness,we set up the lower limit of the energy thickness of single permeability sand bed and picked up information of single permeability sand bed and other sedimentary energy.We analyzed the distribution region of underwater braided channel microfacies and the favorable shallow water channel facies and researched its relationship to reservoir distributions.Taking advantage of favorable sedimentary microfacies and their corresponding lower limit of the reservoir effective thickness,fine log re-evaluation is made for more than 60 wells of cretaceous system in this area.And newly discovered reservoir effective thickness is 32.0 m for cretaceous system K1s1 period,21.0 m for K1s2 period.This method provides a reliable basis for the oilfield potential reserves increment.
【Fund】: 中国石油天然气股份有限公司“十二五”科技攻关项目“致密气藏测井采集处理与储层评价技术研究”;; 国家自然科学基金项目(No.40872087)“基于核向量机的油藏历史拟合代理模型研究”资助;; 西安石油大学全日制硕士研究生创新基金资助
【CateGory Index】: P618.13;P631.84
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