鄯勒油田西山窑组层序地层格架及其油气地质意义

运用层序地层学的基本原理和技术方法,建立鄯勒油田西山窑组层序地层格架,划分沉积相,并在此基础上分析层序地层格架内砂体的展布特征和油气的聚集规律,预测研究区岩性油气藏的类型及分布。研究结果表明：西山窑组整体经历了一个先进积、后退积的过程;西山窑组为一个三级层序,其中包含2个四级层序,该组由低位域（LST）的三角洲前缘沉积、湖侵域（TST）的三角洲平原沉积和高位域（HST）的湖相沉积组成。研究区基准面上升期可以寻找砂体上倾尖灭型岩性圈闭,基准面下降期可以寻找砂岩透镜体岩性圈闭。西一、二段沉积的三角洲河道砂体受后期构造运动的影响,可以形成砂体上倾尖灭型岩性油气藏;而西三、四段的湖相浊积砂体,可以形成砂岩透镜体岩性油气藏。     

盐岩蠕变相似模型及相似材料研究

相似材料模型试验是研究岩土工程的重要手段之一。基于相似理论,应用量纲分析法,推导考虑盐岩蠕变特性的相似模型,得到相关参数的相似判据,并以不同粒径的工业盐、精铁粉为骨料,环氧树脂、乙二胺为黏合剂构成相似材料,经过大量的材料配比力学试验,得到了一种基本满足金坛盐岩蠕变相似模型要求的材料配比,为开展盐岩地下油气储库建造及运营期的变形、破坏相似材料模型试验打下了坚实的基础     

峡口高地应力软岩隧道施工监测及支护对策研究

针对高应力软岩公路隧道的特点,对湖北宜巴高速公路峡口隧道开展了地应力测试、隧洞收敛下沉、接触应力、结构受力等项目的监测工作。地应力测试结果表明,虽然隧洞埋深不大,但由于构造应力的存在,仍属于高地应力区。施工监测结果表明,高应力软岩隧道变形与结构受力具有明显的时空效应,与开挖方式、工作面距离以及支护时机密切相关。由于隧洞围岩软弱破碎,加之处于高应力作用下,在工作面通过后,岩体产生持续性的流变变形,导致隧洞产生挤压大变形和结构受力的持续增加,达到支护结构强度极限,最终导致围岩失稳和支护体系的失效。基于上述研究成果,提出了相应的高应力软岩大变形支护设计对策。研究成果为高应力软岩隧道变形与结构受力的时空效应性提供了监测数据支持,为峡口隧道的施工和支护设计提供了依据,对我国西部其他高应力软岩公路隧道的建设具有借鉴意义     

有机质生烃动力学参数研究进展:回顾和展望

生烃动力学,作为一种动态的研究方法,在研究有机质生烃机制和解决油气勘探实际问题中具有独特的优势,因此得到了极大的发展.由于在不同地质背景下形成的不同或相同类型的有机质,其生烃动力学参数存在明显差异,这动摇了以典型干酪根类型为基础发展起来的传统生烃模式,给实际应用带给困难.所以,必须针对具体盆地特定烃源岩进行生烃动力学实验,求取特定烃源岩的生烃动力学参数,这样才能准确地模拟出盆地的生烃过程.为了逼近地质实际,更加精确地描述有机质生烃动力学参数,应加强对有机质分子结构的研究,探讨温、压共同作用下有机质生烃动力学模型.此外,中国南方海相碳酸盐岩生烃动力学的研究将是今后生烃动力学的重要发展趋势之一.     

The statistical and numerical study of the global distribution of coronal plasma and magnetic field near 2.5 Rs over a 10-year period

The basic characteristics of the global distribution for the corona plasma and magnetic field near 2.5 Rs are analyzed with the statistical and numerical methods for 136 Carrington Rotations (CRs) covering four different phases of solar activity. By using the observational data and the velocity distribution model in the corona, the statistical average distribution of the magnetic field, density and the coronal mass outputs are analyzed for the four different phases. Then, a numerical study of the global distribution near 2.5 Rs has been made by solving a self-consistent MHD system. Finally, the solar wind speed at 1 AU is given by mapping the speed at 2.5 Rs to that near 1 AU, and the comparison of the numerical results with the observational measurements and the simulation result of the Wang–Sheeley–Arge (WSA) model are made during more than 5 years. The numerical results indicate that the global distributions on the source surface of 2.5 Rs at different phases of solar activity could be used to predict the change of the solar wind in interplanetary space.     

A three-dimensional surface wave–ocean circulation coupled model and its initial testing

A theoretical framework to include the influences of nonbreaking surface waves in ocean general circulation models is established based on Reynolds stresses and fluxes terms derived from surface wave-induced fluctuation. An expression for the wave-induced viscosity and diffusivity as a function of the wave number spectrum is derived for infinite and finite water depths; this derivation allows the coupling of ocean circulation models with a wave number spectrum numerical model. In the case of monochromatic surface wave, the wave-induced viscosity and diffusivity are functions of the Stokes drift. The influence of the wave-induced mixing scheme on global ocean circulation models was tested with the Princeton Ocean Model, indicating significant improvement in upper ocean thermal structure and mixed layer depth compared with mixing obtained by the Mellor–Yamada scheme without the wave influence. For example, the model–observation correlation coefficient of the upper 100-m temperature along 35° N increases from 0.68 without wave influence to 0.93 with wave influence. The wave-induced Reynolds stress can reach up to about 5% of the wind stress in high latitudes, and drive 2–3 Sv transport in the global ocean in the form of mesoscale eddies with diameter of 500–1,000 km. The surface wave-induced mixing is more pronounced in middle and high latitudes during the summer in the Northern Hemisphere and in middle latitudes in the Southern Hemisphere.     

Removal of Ni(II) from Aqueous Solutions by Nanoscale Magnetite

Magnetite nanoparticles were applied to remove Ni(II) from aqueous solutions as a function of pH, contact time, supporting electrolyte concentration, and analytical initial Ni(II) concentration. The highly crystalline nature of the magnetite structure with diameter of around 10 nm was characterized with transmission electron microscopy (TEM) and X‐ray diffractometry (XRD). The surface area was determined to be 115.3 m²/g. Surface chemical properties of magnetite at 25°C in aqueous suspensions were investigated. The point of zero charge (pHzpc) was found to be 7.33 and the intrinsic acidity constants (${\rm p}K_{{\rm a}1}^{{\rm s}} $ and ${\rm p}K_{{\rm a}2}^{{\rm s}} $ ) were found to be 9.3 and 5.9, respectively. The surface functional groups were investigated with Fourier transform‐infrared spectroscopy (FTIR) as well. Batch experiments were carried out to determine the adsorption kinetics and mechanism of Ni(II) by these magnetite nanoparticles. The adsorption process was found to be pH dependent. In NaCl solutions, Ni(II) adsorption increased with increasing ionic strength while in NaClO₄ solutions, Ni(II) adsorption exhibited little dependence on the ionic strength of the solution. The adsorption process better followed the pseudo‐second order equation and Freundlich isotherm.     

Copula‐based joint probability function for PGA and CAV: a case study from Taiwan

This study aims to develop a joint probability function of peak ground acceleration (PGA) and cumulative absolute velocity (CAV) for the strong ground motion data from Taiwan. First, a total of 40,385 earthquake time histories are collected from the Taiwan Strong Motion Instrumentation Program. Then, the copula approach is introduced and applied to model the joint probability distribution of PGA and CAV. Finally, the correlation results using the PGA‐CAV empirical data and the normalized residuals are compared. The results indicate that there exists a strong positive correlation between PGA and CAV. For both the PGA and CAV empirical data and the normalized residuals, the multivariate lognormal distribution composed of two lognormal marginal distributions and the Gaussian copula provides adequate characterization of the PGA‐CAV joint distribution observed in Taiwan. This finding demonstrates the validity of the conventional two‐step approach for developing empirical ground motion prediction equations (GMPEs) of multiple ground motion parameters from the copula viewpoint. Copyright © 2016 John Wiley & Sons, Ltd.     

大岗山库区主动震源探测系统性能及其影响因素

利用大岗山水库地震监测台网,在大岗山库区建立了主动震源探测系统。主动震源设备为10t精密控制机械震源,接收台站包括大岗山水库地震台网的8个固定台站、2个加密流动台站和1个震源接收台。本文介绍了大岗山库区主动震源探测系统的基本情况、震源与地基的耦合特征、系统的性能及其影响因素等,并通过初步数据处理获取了大岗山库区地壳波速的相对变化。     

3D modeling of geological anomalies based on segmentation of multiattribute fusion

3D modeling of geological bodies based on 3D seismic data is used to define the shape and volume of the bodies, which then can be directly applied to reservoir prediction, reserve estimation, and exploration. However, multiattributes are not effectively used in 3D modeling. To solve this problem, we propose a novel method for building of 3D model of geological anomalies based on the segmentation of multiattribute fusion. First, we divide the seismic attributes into edge- and region-based seismic attributes. Then, the segmentation model incorporating the edge- and region-based models is constructed within the levelset-based framework. Finally, the marching cubes algorithm is adopted to extract the zero level set based on the segmentation results and build the 3D model of the geological anomaly. Combining the edge-and region-based attributes to build the segmentation model, we satisfy the independence requirement and avoid the problem of insufficient data of single seismic attribute in capturing the boundaries of geological anomalies. We apply the proposed method to seismic data from the Sichuan Basin in southwestern China and obtain 3D models of caves and channels. Compared with 3D models obtained based on single seismic attributes, the results are better agreement with reality.