南黄海夏季海水pCO2研究Ⅱ--下层海水涌升和长江冲淡水对海-气界面CO2通量的贡献

根据2001年7月对南黄海的大面积调查,研究了南黄海夏季pCO2的分布机制,着重讨论下层海水涌升和长江冲淡水对海-气界面CO2通量的贡献,并给出了南黄海海-气界面CO2通量。研究结果表明:夏季南黄海总体上是CO2的1个弱源,大约向大气中释放45.05×104t C。夏季南黄海表层海水pCO2分布表现出了极大的不均性,其汇区主要由长江冲淡水造成,影响区域占汇区吸收CO2的99.9%;而在源区,下层海水涌升虽然面积较小却占源区释放CO2的35.2%。可见陆架边缘海区源/汇格局的地域差异非常之特别。     

天然热释光技术在海洋油气田勘查中的应用

沉积物热释光能有效地反映海洋环境下深部油气田引起的微弱放射性异常。热释光在不同的测试粒级、不同的岩性中的丰度不同，结果为粗粒级＞细粒级、砂岩＞粉砂质砂岩＞泥质粉砂岩＞泥岩。热释光也与部分金属元素含量有关，Ti、Ba、Zn、Fe^3 /Fe^2 与热释光呈正相关关系。热释光与烃类也呈较强的正相关性。不同采用深度热释光测量结果表明，热释光剂量随沉积物的沉积深度和沉积时间的增加而增加，深层样的热释光对油气藏的指示效果更好。     

Analysis of Offshore Oil Pipeline Floating Laying

-Based on the calculation model for the floating laying of the offshore oil pipeline, this paper analyses in detail the internal force, and deformation of the pipeline under a definite structural form (pipeline and buoy) and the way of pulling. The obtained results can be used for the buoy deployment, structure design, and the determination of pulling parameters (the pulling force of the cable and its length, etc.), providing an effective analysis method for floating pipeline-laying. A calculation example is given to show the related calculation process and the main results are analyzed and discussed.     

底部浮泥表层推移速度分布的ADCP—GPS估测方法

ADCP对底跟踪走航观测的流速数据中包含水体底部浮泥、底沙运动信息,对比GPS定位方法算出的水体流速数据可以分离出浮泥相对于GPS定位的运动信号,从而达到对底质推移观测的目的。     

Two-Dimensional Mathematical Model of Tidal Current and Sediment for Oujiang Estnary and Wenzhou Bay

A 2-D mathematical model of tidal current and sediment has been developed for the Oujiang Estuary and the WenzhouBay. This model accomodates complicated features including multiple islands, existence of turbidity, and significant differ-ence in size distribution of bed material. The governing equations for non-uniform suspended load and bed load transport arepresented in a boundary-fitted orthogonal curvilinear coordinate system. The numerical solution procedures along with theirinitial conditions, boundary conditions, and movable boundary technique are presented. Strategies for computation of thecritical condition of deposition or erosion, sediment transport capacity, non-uniform bed load discharge, etc. are suggested.The model verification computation shows that, the tidal levels computed from the model are in good agreement with the fielddata at the 18 tidal gauge stations. The computed velocities and flow directions also agree well with the values measuredalong the totally 52 synchronously observed verticals distributed over 8 cross sections. The computed tidal water throughputsthrough the Huangda‘ao cross section are close to the measured data. And the computed values of bed deformation fromYangfushan to the estuary outfall and in the outer-sea area are in good agreement with the data observed from 1986 to 1992.The changes of tidal volumes through the estuary, velocities in different channels and the bed form due to the influence of thereclamation project on the Wenzhou shoal are predicted by means of this model.     

Optimum Sample Size to Detect Perturbation Effects: The Importance of Statistical Power Analysis – A Critique

Abstract. The current article describes statistical power analysis as an efficient strategy for the estimation of the optimum sample size. The principle aim is constructively to criticise and enrich the results presented by Mouillot et al. (1999) , who estimate the optimum sample size for evaluating possible perturbations. The authors did not make any reference to statistical power analysis, even though their objective clearly went beyond a simple stock evaluation to assess management strategies in a particular marine ecosystem. Surprisingly, they proposed (a priori) an ANOVA design to test a hypothesis considering both space and temporal scales. However, the authors did not cover important topics related with power analysis and the precautionary principle, both used into environment impact assessment programmes for marine ecosystems. Based on their results and on statistical power analysis, it is demonstrated that the variability (dispersion statistics), a key factor they used to estimate the sample size, is less relevant than the magnitude of perturbation (effect size). Therefore, a greater effort must be devoted to estimate the effect size of a particular phenomenon rather than a desired variability.     

Spatial variability in the partial pressures of CO2 in the northern Bering and Chukchi seas

In the summers of 1999 and 2003, the 1st and 2nd Chinese National Arctic Research Expeditions measured the partial pressure of CO₂ in the air and surface waters (pCO₂) of the Bering Sea and the western Arctic Ocean. The lowest pCO₂ values were found in continental shelf waters, increased values over the Bering Sea shelf slope, and the highest values in the waters of the Bering Abyssal Plain (BAP) and the Canadian Basin. These differences arise from a combination of various source waters, biological uptake, and seasonal warming. The Chukchi Sea was found to be a carbon dioxide sink, a result of the increased open water due to rapid sea-ice melting, high primary production over the shelf and in marginal ice zones (MIZ), and transport of low pCO₂ waters from the Bering Sea. As a consequence of differences in inflow water masses, relatively low pCO₂ concentrations occurred in the Anadyr waters that dominate the western Bering Strait, and relatively high values in the waters of the Alaskan Coastal Current (ACC) in the eastern strait. The generally lower pCO₂ values found in mid-August compared to at the end of July in the Bering Strait region (66–69°N) are attributed to the presence of phytoplankton blooms. In August, higher pCO₂ than in July between 68.5 and 69°N along 169°W was associated with higher sea-surface temperatures (SST), possibly as an influence of the ACC. In August in the MIZ, pCO₂ was observed to increase along with the temperature, indicating that SST plays an important role when the pack ice melts and recedes.     

东海陆架盆地与松辽盆地的类比分析

松辽盆地在我国的含油气盆地中勘探程度较高，已探明了几十亿吨的地质储量，对控制盆地油气形成的生、储、盖、圈、运、保等条件的研究也比较深入和细致，东海陆架盆地是我国目前勘探程度较低却有很大油气远景的盆地，这两个盆地都是我国东部中新生代大型复合沉积盆地，在地质构造上具有一定的相似性。本文试图通过东海陆架盆地与松辽盆地的对比在研究它们各自特征的基础上，寻找这两个大型沉积盆地的共同点和相似性，以便借鉴松辽盆     

黄海地质构造与油气资源

概述了南，北黄海盆地地质构造特征，盆地的形成与演化，分析研究了油气地质特征与成藏条件；对黄海各盆地和隆起区可能具有找油气远景的新领域，新层位和新类型，提出一些探讨性的认识。     

山东胜利油田海洋石油勘探开发现状及前景分析

胜利油田海上勘探区 ,位于渤海湾南部的极浅海海域 ,其范围为 :西起四女寺河口 ,经套儿河口、老黄河口、新黄河口、小青河口 ,东到潍河口 ,海岸长 4 1 4km,胜利矿产登记线内面积 4 870 km2 ,水深一般 0～ 5m,最深 1 8m。截止 2 0 0 0年年底 ,已完成二维地震 71 3 6.1 km,三维地震 1 588.58km2 ,完钻探井 1 0 2口 ,测井解释油气层井 87口 ,试油 85口 ,其中 74口获工业油流 ,6口获低产油流。发现了埕岛、埕北 3 0、新滩 3个油田 ,在明化镇组、馆陶组、东营组、沙河街组、中生界、上古生界、下古生界、太古界中发现了 8套含油层系 ,6种类型的油气藏 ,已探明含油面积 1 45.8km2 ,石油地质储量 3 860 9万 t;控制含油面积57.5km2 ,石油地质储量 894 8万 t,其中埕岛油田是渤海域发现最早的亿吨级油田 ,目前已建成 2 1 6万 t年生产能力 ,累积产油 1 0 57万 t。根据两轮资源评价及勘探实践的认识 ,与本区有关的 8个生油凹陷 (岐口、沙南、渤中、埕北、桩东、青东、莱州湾、潍北 )总资源量约 1 2 .0亿 t,目前已找到探明加控制石油地质储量为 4 .75亿 t,仍有较大的勘探开发潜力。今后将对 8个构造带 (埕子口、埕岛、埕北 3 0、长堤、垦东、青东、青坨子、潍北 )进行勘探 ,落实探明储量 ,进一步投入开发 ,为胜利油田