中国油气勘探开发新进展与前景展望

近年来,石油企业不断推进油气增储上产,加大投资力度,增加工作量,强化油气勘探和产能建设,取得超预期进展与成效。2019年以来,全国勘探新发现亿吨级油田和新增储量亿吨以上油田共7个,新发现和新增储量千亿立方米以上气田8个,新发现亿吨以上陆相页岩油田2个,实现了深层页岩气、深层煤层气勘探的战略性突破,落实了万亿立方米深层页岩气区,发现了大型浅层页岩气田;全国年均新增探明石油地质储量13.61×108t,年均新增常规天然气探明地质储量约8867×108m3;2022年,石油产量增至约2.05×108t,时隔6年重回2.0×108t以上,天然气产量增至约2178×108m3,超预期完成了油气增储上产阶段性目标任务。基于油气资源潜力分析,近中期,国内油气勘探开发将延续近4年增储上产发展态势,油气新增储量保持高位增长,石油产量在高位实现稳中有增,天然气产量实现较快增长;中长期看,油气探明储量有望较长时期保持高位增长,石油产量将在高位中逐步下行但有望长期稳定在2.0×108t以上,天然气将较长时间增产,2035年预计达到（3300~3500）×108m3,国内油气生产供应能力总体持续提升。要将前景展望变为现实,既需要企业积极应对挑战,保持加大油气勘探开发力度的战略定力,更需要国家层面的政策引导和支持,营造有利于油气增储上产的政策环境。     

晋东北金矿床石英流体包裹体与找矿

晋东北各种类型金矿中都广泛发育热液型石英脉，与矿化有关的石英流体包裹体的特征反映了不同的矿床类型。对该区石英脉型、蚀变岩型及磁铁石英岩型金矿床的研究表明，石英中流体包裹体的成分、温度和红外吸收光谱等特征可以作为划分矿床类型和作为金矿找矿评价的标志     

地质矿产资源勘查问题及对策

为了适应我国当前社会发展的需要,地质矿产资源的利用率越来越高。我国拥有大量的矿产资源,但由于长期不合理的勘探、开发和出口,使矿产企业遭受了巨大的损失。要促进我国矿产资源产业的发展及转型,就必须加强地质矿产勘察力度,同时保证合理开发。     

高层建筑中给水系统分区技术经济计算

介绍了一种高层建筑给水系统分区技术经济计算的方法,以经济性为目标函数,将供水的压力、流速等作为约束条件,据此建立目标函数和约束条件的表达式,然后通过最优化的数学方法解出目标函数,得到最佳的分区方案。     

Retrofitting of pedestrian overpass by Truss-Z modular systems using graph-theory approach

Installing pedestrian ramps is a common improvement towards a barrier-free environment. This paper introduces a graph-theoretical method of retrofitting of a single-branch Truss-Z (TZ) ramp in a constrained environment. The results produced by this exhaustive search method are usually ideal and better than those produced previously with meta-heuristic methods.A large case study of linking two sections of the Hongo Campus of Tokyo University using an overpass in an extremely constrained environment is presented. TZ modules with 1:12 (8.3%) slope are used, which is allowable in most countries for ramps for self-powered wheelchairs.The results presented here are highly satisfactory both in terms of structural optimization and aesthetics.Visualizations of the TZ ramp system, composed of 124 units, are presented.     

A sliding window technique for interactive high-performance computing scenarios

Interactive high-performance computing is doubtlessly beneficial for many computational science and engineering applications whenever simulation results should be visually processed in real time, i.e. during the computation process. Nevertheless, interactive HPC entails a lot of new challenges that have to be solved – one of them addressing the fast and efficient data transfer between a simulation back end and visualisation front end, as several gigabytes of data per second are nothing unusual for a simulation running on some (hundred) thousand cores. Here, a new approach based on a sliding window technique is introduced that copes with any bandwidth limitations and allows users to study both large and small scale effects of the simulation results in an interactive fashion.     

现代商业区建筑供配电设计要点及对策初论

在经济的推动下,商业区数量日益增多,空间布局更加紧凑,用电量也随之大幅增加,管理更为困难。因此,要重视商业区建筑的供电配电。介绍了商业区建筑的特点,然后结合实际案例对其供配电进行了设计。     

电磁波层析成像反演射线路径的探讨

在电磁波 CT 测试中,发射、接收探头间的电磁波射线发射点、接收点位置决定反演后成果数据记录点的位置。为了确定电磁波仪发射、接收探头记录点位置,对探头分别进行钢管屏蔽实验,实验表明电磁波仪工作时电磁波能量主要集中在两探头的馈电点及天线末端间近似于平行四边形的区域内,不宜直接地简化为一条直线,将平行四边形区域简化为4条线段进行电磁波层析成像反演计算更符合实际情况。在此基础上,提出对电磁波 CT 数据采取4条射线路径单独反演后,再将4个结果按综合平均的方法进行处理。将此种处理方法应用于武汉地铁岩溶勘察数据处理中,并与目前基于1条射线的反演处理方法进行对比、验证。对比剖面反演数据结果表明,在采用同一反演软件条件下4条射线路径综合反演法精度优于1条射线反演法。     

Nonlinear model predictive control with relevance vector regression and particle swarm optimization

In this paper, a nonlinear model predictive control strategy which utilizes a probabilistic sparse kernel learning technique called relevance vector regression （RVR） and particle swarm optimization with controllable random exploration velocity （PSO-CREV） is applied to a catalytic continuous stirred tank reactor （CSTR） process. An accurate reliable nonlinear model is first identified by RVR with a radial basis function （RBF） kernel and then the optimization of control sequence is speeded up by PSO-CREV. Additional stochastic behavior in PSO-CREV is omitted for faster convergence of nonlinear optimization. An improved system performance is guaranteed by an accurate sparse predictive model and an efficient and fast optimization algorithm. To compare the performance, model predictive control （MPC） using a deterministic sparse kernel learning technique called Least squares support vector machines （LS-SVM） regression is done on a CSTR. Relevance vector regression shows improved tracking performance with very less computation time which is much essential for real time control.     

基于C#与Viustools的物探虚拟实验系统及应用

目前地质院校物探专业教学中普遍存在学生数量与有限物探仪器的矛盾,给专业实验课和教学实习带来了困境。为了解决这个问题,应用C#,Viustools和数据库技术,较好地实现了物探仪器虚拟实验系统的设计,构建出高真实感的虚拟实验学习环境。投入教学应用后实践证明,利用虚拟实验方式去改革传统的实验教学模式,能够促进学生对实验设备和实验过程的理解和掌握,节约教学的时间和经费,提升教和学的效率,也便于教师进行针对性的教学,效果改善明显。