洛带气田蓬莱镇气藏开发部署优化研究

气藏评价尚未结束之前，开发的早期部署工作非常困难。针对洛带气田蓬莱镇组气藏的开发部署工作，利用目前许多新方法对开发层系划分、采气规模、开发规划、合理配产和井网部署等进行了优化研究，对气藏开发提出了指导性意见，且对类似气藏也具有参考意义。     

基于广义Kопытов模型及乙型水驱曲线的综合预测法

将广义Kопытов预测模型和乙型水驱曲线方法有机的结合起来，得到了油田开发中后期——递减时期的一种预测水驱开发油田的含水率、产油量、产水量及其相应的累积产量随开发时间变化的方法，此方法克服了在水驱油田预测开发指标中二者所存在的局限性。     

富碱斑岩中超镁铁深源包体岩石的矿物学特征

在云南省鹤庆县六合乡富碱斑岩体中找到超镁铁深源岩石包体，这对于研究富碱斑岩的起源和演化及其成岩成矿作用具有重要意义。本文较系统地研究了深源包体岩石的矿物学特征，揭示该深源包体具有原始上地幔岩在地幔条件下受到一定程度富集地幔流体交代作用改造的特征，具有富集地幔低程度部分熔融属性，为富碱斑岩的成岩成矿演化提供了重要的矿物学依据。     

纤维素接枝丙烯酰胺/高岭土高吸水性复合材料研究

在高岭土的存在下，以N，N－亚甲基双丙烯酰胺作交联剂，以硝酸铈铵为引发剂微晶纤维素与丙烯酰胺进行接枝共聚反应，合成接枝纤维素／高岭土高吸水性复合材料。研究了纤维素与单体的配比、高岭土添加量、交联剂用量、引发剂用量及反应温度对吸水率的影响。用红外光谱表征复合材料的结构，用电子显微镜观察复合材料的表面与界面。结果表明，高岭土在接枝聚合物中能较好分散，复合材料吸水率达1166，对生理盐水溶液的吸水率达86。     

深海热泉生物——人类的基因资源宝库

广泛存在于大洋之中的深海热泉生物群落依靠化学自营维持生存与繁衍，构成了独特的生态系统，是对光合作用生态系统理论的一个挑战和补充，在生物学上有着重要的研究意义，对于揭示生命的起源与拓展生命的生存空间有着重要的学术价值，而且还孕育着广泛而重要的应用价值和商业前景，具体体现在新型医药开发、基因疗法、工业应用以及环境保护等方面。深海热泉生物将是人类最重要的基因资源宝库。     

近20年来中国旧石器考古学的进展与思考

本文记述近20年来中国旧石器考古学研究的主要成果,着重论述早期人类扩散的速度和中国旧石器工业的基本框架:北、南方各存在一个主工业,并存若干区域工业;同时对试验考古研究以及东西文化比较研究等的现状和问题提出孔见。     

A multi-scale study on land use and land cover quality change: The case of the Yellow River Delta in China

This paper presents a case study of the Yellow River Delta in China, to trace land use and land cover changes during the past 20 years, with an emphasis on land quality changes. Three sets of data are used in this case study: remote sensing data derived from satellite images; crop yield data from statistics; and soil data collected by the researchers in the field. Our study reveals that at the regional scale, LUCC has taken place in a positive direction: vegetation cover has been expanding and crop yields per hectare have been on rise. However, while the overall eco-environment has improved, the improvement is uneven across the Delta region. At local levels, some areas show signs of increased salinization and declining organic content. Both natural forces and human activities are responsible for the LUCC, but human activities play a more important role. While some impacts of human activities are positive, the damages are often long-lasting and irreversible. We also conclude that it is necessary to use both macro data (such as remote sensing data) and micro data (data collected in the field) to study land quality change. The former are efficient in examining land quality changes at the regional scale, the latter can serve to verify ground patterns revealed from macro data and help to identify local variations, so as to get a comprehensive understanding of LUCC and promote sustainable land use and land management. This revised version was published online in July 2006 with corrections to the Cover Date.     

Evaluation of the Reduction in Uncertainty Obtained by Conditioning a 3D Stochastic Channel to Multiwell Pressure Data

A stochastic channel embedded in a background facies is conditioned to data observed at wells. The background facies is a fixed rectangular box. The model parameters consist of geometric parameters that describe the shape, size, and location of the channel, and permeability and porosity in the channel and nonchannel facies. We extend methodology previously developed to condition a stochastic channel to well-test pressure data, and well observations of the channel thickness and the depth of the top of the channel. The main objective of this work is to characterize the reduction in uncertainty in channel model parameters and predicted reservoir performance that can be achieved by conditioning to well-test pressure data at one or more wells. Multiple conditional realizations of the geometric parameters and rock properties are generated to evaluate the uncertainty in model parameters. The ensemble of predictions of reservoir performance generated from the suite of realizations provides a Monte Carlo estimate of the uncertainty in future performance predictions. In addition, we provide some insight on how prior variances, data measurement errors, and sensitivity coefficients interact to determine the reduction in model parameters obtained by conditioning to pressure data and examine the value of active and observation well data in resolving model parameters.     

Combination of Dependent Realizations Within the Gradual Deformation Method

Gradual deformation is a parameterization method that reduces considerably the unknown parameter space of stochastic models. This method can be used in an iterative optimization procedure for constraining stochastic simulations to data that are complex, nonanalytical functions of the simulated variables. This method is based on the fact that linear combinations of multi-Gaussian random functions remain multi-Gaussian random functions. During the past few years, we developed the gradual deformation method by combining independent realizations. This paper investigates another alternative: the combination of dependent realizations. One of our motivations for combining dependent realizations was to improve the numerical stability of the gradual deformation method. Because of limitations both in the size of simulation grids and in the precision of simulation algorithms, numerical realizations of a stochastic model are never perfectly independent. It was shown that the accumulation of very small dependence between realizations might result in significant structural drift from the initial stochastic model. From the combination of random functions whose covariance and cross-covariance are proportional to each other, we derived a new formulation of the gradual deformation method that can explicitly take into account the numerical dependence between realizations. This new formulation allows us to reduce the structural deterioration during the iterative optimization. The problem of combining dependent realizations also arises when deforming conditional realizations of a stochastic model. As opposed to the combination of independent realizations, combining conditional realizations avoids the additional conditioning step during the optimization process. However, this procedure is limited to global deformations with fixed structural parameters.     

^40Ar／^39Ar Fast Neutron Activation Ages of Quartz from the Jinman Vein Copper Dposit in Western Yunnan and Their Significance

Quartz samples collected from the Jinman vein copper deposit in the Lanping Basin of western Yunnan were determined by⁴⁰Ar/³⁹Ar fast neutron activation techniques, and the spectra are characterized as being saddle-shaped. The samples yielded a plateau age of 58.05 ± 0.54 Ma, a minimum appearance age of 56.76 ±0.81 Ma and an isochron age of 54.30 ± 0.15 Ma, the three ages being close to each other, indicating that the ages of the quartz samples so far determined are true and reliable. The plateau age represents the time of formation of Cu-bearing quartz veins, which is corresponding to Early Himalayan. This age is also consistent with the time at which a tectonically thermal event (60 Ma) took place within the Lanping Basin, Yunnan Province. In consideration of the fact that copper ore and other ore types in the vast area of western Yunnan are concentrated mainly in the Early Himalayan strata, the authors believe that there must have existed some indispensable key factors leading to metallogenesis on a large scale during the Early Himalayan period in western Yunnan and also constraining in union the formation of ore deposits there.