渤海浅层油田储层预测研究——以B2油田为例

针对新近系明化镇组的油田地层较浅、地层反射结构相对简单的地质特点,如何充分挖掘地震资料中蕴含的丰富信息,并加以综合分析和利用,以满足不断增长的对于储层预测及含油气性预测的需求。通过一个储层预测实例表明,利用地震属性综合分析技术,可以较好地解决沉积相划分、储层预测、含油气判别等方面的地质问题。     

Preface to the special issue “Tectonics and depositional infilling of western Pacific marginal sea”

Marine Geophysical Research -     

科研鱼探仪数据的解编及地球物理应用

目前常规海洋测绘手段主要包括电子海图、单波束、多波束、侧扫声呐等,这些方法的单独使用会存在诸如数据样本稀疏、施工成本昂贵、难以获取确切深度等局限之处。基于超声波回声原理的科研鱼探仪广泛用于渔业资源调查与评估中,是渔业领域的主要统计手段,具有数据体量大、来源丰富、采集成本低的特点。超声回波数据在刻画鱼群数量、方位的同时,携带有海底地形与海水温盐结构信息,可以作为常规海洋测绘方法的补充。特别是数据解编后得到的高精度水体数据,可以用于海洋地球物理等研究,故针对科研鱼探仪数据的解编工作亟待进行。本文针对科研鱼探仪(SIMRAD EK80)的采集数据进行解编处理,并基于对道头信息的分析,实现对数据文件的重新分类,提取与海洋地球物理领域相关的位置、样点能量值等数据信息进行分析研究,旨在丰富海洋地球物理研究数据来源,为常规海洋探测工作提供借鉴,提升数据利用效能。     

极移和激发的研究

极称可分为长期极移，钱德勒摆动（CW），周年极移（AN），不规则极移和短周期极移，由于极移运动对不同频率的激发响应是不同的，采用反卷积方法将极移序列进行了分析，对各类极移运动与激发的关系作了对比研究，认为周年极移与激发是逐年不同的，若能将它们逐年进行比较，将会对气象模型提供更好的约束条件，不规则极移可能反映了地球上较大规模的异常气象现象。     

水下智能潜器的神经网络运动控制

本文介绍一种基于神经网络的水下智能潜器的运动控制方法，该方法通过在线学习，融控制与滤波为一体。计算机仿真与水池实验验证表明，该方法的控制与滤波性能良好，对环境的学习与适应能力强。该方法事实上可用于一般动力系统的控制。     

On pulsar-driven mass ejection in low-mass X-ray binaries

There is accumulating evidence for mass ejection in low-mass X-ray binaries(LMXBs)driven by radio pulsar activity during X-ray quiescence.We consider the condition for mass ejection by comparing the radiation pressure from a millisecond pulsar,and the gas pressure at the inner Lagrange point or at the surrounding accretion disk.We calculate the critical spin period of the pulsar below which mass ejection is allowed.Combining with the evolution of the mass transfer rate,we present constraints on the orbital ...     

An algorithm to resolve γ-rays from charged cosmic rays with DAMPE

The DArk Matter Particle Explorer(DAMPE),also known as Wukong in China,which was launched on 2015 December 17,is a new high energy cosmic ray and γ-ray satellite-borne observatory.One of the main scientific goals of DAMPE is to observe Ge V-Te V high energy γ-rays with accurate energy,angular and time resolution,to indirectly search for dark matter particles and for the study of high energy astrophysics. Due to the comparatively higher fluxes of charged cosmic rays with respect to γ-rays,it is challenging to identify γ-rays with sufficiently high efficiency,minimizing the amount of charged cosmic ray contamination. In this work we present a method to identify γ-rays in DAMPE data based on Monte Carlo simulations,using the powerful electromagnetic/hadronic shower discrimination provided by the calorimeter and the veto detection of charged particles provided by the plastic scintillation detector. Monte Carlo simulations show that after this selection the number of electrons and protons that contaminate the selected γ-ray events at～10 Ge V amounts to less than 1% of the selected sample.Finally,we use flight data to verify the effectiveness of the method by highlighting known γ-ray sources in the sky and by reconstructing preliminary light curves of the Geminga pulsar.     

A model of fast radio bursts: collisions between episodic magnetic blobs

Fast radio bursts(FRBs) are bright radio pulses from the sky with millisecond durations and Jansky-level flux densities. Their origins are still largely uncertain. Here we suggest a new model for FRBs. We argue that the collision of a white dwarf with a black hole can generate a transient accretion disk, from which powerful episodic magnetic blobs will be launched. The collision between two consecutive magnetic blobs can result in a catastrophic magnetic reconnection, which releases a large amount of free magnetic energy and forms a forward shock. The shock propagates through the cold magnetized plasma within the blob in the collision region, radiating through the synchrotron maser mechanism,which is responsible for a non-repeating FRB signal. Our calculations show that the theoretical energetics, radiation frequency, duration timescale and event rate can be very consistent with the observational characteristics of FRBs.     

The optimization of satellite orbit for Space-VLBI observation

By sending one or more telescopes into space,Space-VLBI(SVLBI)is able to achieve even higher angular resolution and is therefore the trend of the VLBI technique.For the SVLBI program,the design of satellite orbits plays an important role for the success of planned observation.In this paper,we present our orbit optimization scheme,so as to facilitate the design of satellite orbits for SVLBI observation.To achieve that,we characterize the uv coverage with a measure index and minimize it by finding out the corresponding orbit configuration.In this way,the design of satellite orbit is converted to an optimization problem.We can prove that,with an appropriate global minimization method,the best orbit configuration can be found within the reasonable time.Besides that,we demonstrate that this scheme can be used for the scheduling of SVLBI observations.