Review of electrospun hydrogel nanofiber system: Synthesis,Properties and Applications

Hydrogel-based nanofibers or vice versa are a relatively new class of nanomaterials, in which hydrogels are structured in nanofibrous form. Structure and size of the material directly governs its functionality, therefore, in hydrogel science, the nanofibrous form of hydrogels enables its usage in targeted applications. Hydrogel nanofiber system combines the desirable properties of both hydrogel and nanofiber like flexibility, soft consistency, elasticity, and biocompatibility due to high water content, large surface area to volume ratio, low density, small pore size and interconnected pores, high stiffness, tensile strength, and surface functionality. Swelling behavior is a critical property of hydrogels that is significantly increased in hydrogel nanofibers due to their small size. Electrospinning is the most popular method to fabricate “hydrogel nanofibers,” while other processes like self-assembly, solution blowing and template synthesis also exist. Merging the characteristics of both hydrogels and nanofibers in one system allows applications in drug delivery, tissue engineering, actuation, wound dressing, photoluminescence, light-addressable potentiometric sensor (LAPS), waterproof breathable membranes, and enzymatic immobilization. Treatment of wastewater, detection, and adsorption of metal ions are also emerging applications. In this review paper, we intend to summarize in detail about electrospun “hydrogel nanofiber” in relation to its synthesis, properties, and applications.     

Interactive design exploration for constrained meshes

In architectural design, surface shapes are commonly subject to geometric constraints imposed by material, fabrication or assembly. Rationalization algorithms can convert a freeform design into a form feasible for production, but often require design modifications that might not comply with the design intent. In addition, they only offer limited support for exploring alternative feasible shapes, due to the high complexity of the optimization algorithm.We address these shortcomings and present a computational framework for interactive shape exploration of discrete geometric structures in the context of freeform architectural design. Our method is formulated as a mesh optimization subject to shape constraints. Our formulation can enforce soft constraints and hard constraints at the same time, and handles equality constraints and inequality constraints in a unified way. We propose a novel numerical solver that splits the optimization into a sequence of simple subproblems that can be solved efficiently and accurately.Based on this algorithm, we develop a system that allows the user to explore designs satisfying geometric constraints. Our system offers full control over the exploration process, by providing direct access to the specification of the design space. At the same time, the complexity of the underlying optimization is hidden from the user, who communicates with the system through intuitive interfaces.     

Data sharing mechanism of various mineral resources based on blockchain

Basins with various mineral resources coexisting and enriching often occupy an important strategic position. The exploration of various mineral resources is repetitive at present due to unshared data and imperfect management mechanism. This situation greatly increases the cost of energy exploitation in the country. Traditional data-sharing mode has several disadvantages, such as high cost, difficulty in confirming the right of data, and lack of incentive mechanism, which make achieving real data sharing difficult. In this paper, we propose a data-sharing mechanism based on blockchain and provide implementation suggestions and technical key points. Compared with traditional data-sharing methods, the proposed data-sharing mechanism can realize data sharing, ensure data quality, and protect intellectual property. Moreover, key points in the construction are stated in the case study section to verify the feasibility of the data-sharing system based on blockchain proposed in this paper.     

电磁精细探测法在隐伏型导水地质裂缝勘探中的应用

针对传统隐伏型导水地质裂缝勘探方法存在勘测精度较差的问题,提出电磁精细探测法探析隐伏型导水地质裂缝。依照屏蔽系数、实测场强和理论场强数据绘制综合曲线图,通过该图获取隐伏型导水地质裂缝所处位置几何阴影范围,采用层析成像法得到网格化的工作面,获取隐伏型导水地质图像。通过图像直接观测隐伏型导水地质工作面裂缝所处位置,在此基础上,观测四个电磁场分量,采用正交电磁场分量计算介质视电阻率,依据计算视电阻率数值和视电阻率分布状态研究裂缝发育情况和裂缝富水程度。结果表明:采用该方法能较为精准地获取隐伏型导水地质裂缝位置。通过裂缝位置进一步检测出隐伏型导水地质裂缝最大发育高度为63.5 m。当视电阻数值不断增加时,隐伏型导水地质裂缝和裂缝富水性逐渐减小,与实际情况较为相符,说明该种方法探析效果较好。     

气烟囱效应——礁滩相岩性气藏的典型地震响应特征

品质良好的地震剖面上出现的地震模糊带称为气烟囱，发现和识别气烟囱是寻找大型气藏的有效方法。四川盆地东北部长兴组气藏是礁滩相岩性气藏，礁、滩作为一个独立的岩性体，与周围的地层、岩性结构差异较大，由此在构造应力场中形成力学尖点，从而产生气烟囱效应。已知的黄龙场、普光等气田，其气烟囱普遍存在。点礁通常形成下方的气烟囱，台缘礁通常在上方形成气烟囱；礁滩相在构造运动中控制了断层的发育过程，凸起的礁滩相上方可能发育对冲断层；斜坡较陡的台缘礁可能发育叠置的逆冲断层；礁、滩两侧边缘的断层一般都比较发育。断层发育加强了气烟囱效应。模拟试验验证了地震剖面解释结果。根据气烟囱地震相特征，预测黑池梁存在一个大型气藏。     

论建立动态勘探目标评价体系的迫切必要性

从国际上通行的油气勘探评价工作重点,中国石油所面临的"已逐步进入一个不断在老区范围内开展精细勘探、在老区范围内开展新区块、新层系勘探以获得主要的储量增长"的新的勘探形势,现有地质研究中各专题研究与具体勘探目标评价脱节等多个方面,论述了在中国石油内部建立一套动态勘探目标评价体系的迫切必要性;并在此基础上阐述了一个完整的动态勘探目标评价体系应包括的主要内容;最后对该体系的建设进行了可行性分析。     

岩石物理横波速度曲线计算技术

横波速度是地震勘探中的重要参数。针对实际生产中缺乏横波速度测井曲线资料，利用经验公式计算精确度不高的问题，通过对横波速度计算理论模型的研究分析，选择Blot-Gassman模型法，利用岩石矿物成分、流体成分、孔隙度及密度等测井曲线进行横波速度测井曲线的计算，并对横波速度计算技术和流程进行研究。在实际工区进行了横波速度曲线计算，计算结果与实测横波吻合程度较高，误差小于10％，该技术在储层和流体识别预测的应用中取得了较好效果。     

广钢转炉分厂2号方坯连铸机拉速问题的探讨

通过分析钢水在结晶器内凝固的不均匀性及对钢水结晶的热量平衡计算，讨论连铸中间包钢水温度、结晶器冷却水流量及进出水温差对拉坯速度的影响。     

莺-琼盆地生物气及生物—低成熟过渡带气特征与勘探前景

莺 琼盆地天然气资源丰富 ,天然气成因类型多 ,迄今为止 ,除在该区浅层和中深层发现以成熟—高成熟的热成因腐殖型气 (煤型气 )为主的天然气藏外 ,也发现了一些生物气及生物—低成熟过渡带气气藏 ,且均具较高的产量和一定的储量规模 ,其勘探前景广阔。     

世界地震勘探仪器装备技术发展综述--记新千年首届物探装备技术研讨会

2001年4月，石油物探装备学会在北京召开了新千年首届技术研讨会，本文根据与会外国公司发布的信息，围绕当前地震勘探仪器的技术现状和发展进行了综合评述，并提出了一些看法和观点。