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井震联合非均质储层改造规模的非线性表征方法 被引量:8
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作者 杜书恒 师永民 +2 位作者 徐启 方媛媛 盛英帅 《北京大学学报(自然科学版)》 EI CAS CSCD 北大核心 2016年第2期241-248,共8页
朝阳沟油田Ⅲ类区块井网经过两次加密调整和重复压裂,部分储层仍无法建立有效驱动体系,油水井措施效果差,剩余油采出程度低。考虑到对压裂缝扩展条件及非均质储层改造程度认识不足的实际情况,通过测井与地震联合的手段开展油藏三维地应... 朝阳沟油田Ⅲ类区块井网经过两次加密调整和重复压裂,部分储层仍无法建立有效驱动体系,油水井措施效果差,剩余油采出程度低。考虑到对压裂缝扩展条件及非均质储层改造程度认识不足的实际情况,通过测井与地震联合的手段开展油藏三维地应力场建模,以弹性理论为基本依据,预测非对称压裂缝全缝长扩展情况,提出"相对应力"和"改造因子"概念,给出相对应力‐改造因子非线性经验关系式,划定形成填砂裂缝的相对应力值范围,并据此判断储层压裂后改造规模情况。研究结果对油田开发中后期开发层系的选定,提高油田最终采收程度将起到较重要的指导作用。 展开更多
关键词 井震联合 非均质储层 应力场建模 相对应力 改造因子
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3D-FEM modeling of the microscopic stress field of forsterite aggregate under hydrostatic pressure:Significance of the crystal orientation 被引量:1
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作者 CHEN YuXiang LIU Xi ZHOU YongSheng 《Science China Earth Sciences》 SCIE EI CAS 2014年第6期1192-1198,共7页
Three Dimensional Finite Element Method(3D-FEM)has been used to model the deviatoric stress field in a forsterite aggregate with a sandwich geometry:two forsterite cubes aligned in the same crystallographic orientatio... Three Dimensional Finite Element Method(3D-FEM)has been used to model the deviatoric stress field in a forsterite aggregate with a sandwich geometry:two forsterite cubes aligned in the same crystallographic orientation(the"breads")sandwich a third forsterite cube(the"filling"),which might have an identical or different crystallographic orientation.The results show that there is no von Mises stress in the forsterite sandwich if the sandwiching and sandwiched forsterite cubes are aligned in the same crystallographic orientation.If the crystallographic orientations are different,however,von Mises stress and heterogeneous stress distribution occur both along the boundary and in the forsterite cubes.For the investigated P-T conditions(up to 6.4GPa and 500°C),the resulted deviatoric stress is much lower than the yield strength of forsterite,so that higher P,higher T,or other means to create higher deviatoric stress is necessary,in order to constrain the yielding behavior of forsterite. 展开更多
关键词 3D-FEM forsterite aggregate crystallographic orientation stress distribution
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Potential application of FoldX force field based protein modeling in zinc finger nucleases design 被引量:2
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作者 HE ZuYong MEI Gui +1 位作者 ZHAO ChunPeng CHEN YaoSheng 《Science China(Life Sciences)》 SCIE CAS 2011年第5期442-449,共8页
Engineered sequence-specific zinc finger nucleases (ZFNs) make the highly efficient modification of eukaryotic genomes possible.However,most current strategies for developing zinc finger nucleases with customized sequ... Engineered sequence-specific zinc finger nucleases (ZFNs) make the highly efficient modification of eukaryotic genomes possible.However,most current strategies for developing zinc finger nucleases with customized sequence specificities require the construction of numerous tandem arrays of zinc finger proteins (ZFPs),and subsequent largescale in vitro validation of their DNA binding affinities and specificities via bacterial selection.The labor and expertise required in this complex process limits the broad adoption of ZFN technology.An effective computational assisted design strategy will lower the complexity of the production of a pair of functional ZFNs.Here we used the FoldX force field to build 3D models of 420 ZFP-DNA complexes based on zinc finger arrays developed by the Zinc Finger Consortium using OPEN (oligomerized pool engineering).Using nonlinear and linear regression analysis,we found that the calculated protein-DNA binding energy in a modeled ZFP-DNA complex strongly correlates to the failure rate of the zinc finger array to show significant ZFN activity in human cells.In our models,less than 5% of the three-finger arrays with calculated protein-DNA binding energies lower than 13.132 kcal mol 1 fail to form active ZFNs in human cells.By contrast,for arrays with calculated protein-DNA binding energies higher than 5 kcal mol 1,as many as 40% lacked ZFN activity in human cells.Therefore,we suggest that the FoldX force field can be useful in reducing the failure rate and increasing efficiency in the design of ZFNs. 展开更多
关键词 zinc finger nuclease FoldX force field protein mutation MODELING
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