基于人工免疫系统的沉积微相自动识别

为了采用测井曲线实现沉积微相的自动识别,通过测井曲线变化趋势的编码和人工免疫系统的克隆免疫、变异等算子,建立基于人工免疫系统的测井曲线识别模型,实现了不等长特征曲线匹配过程的快速收敛。对胜利油田150个沉积微相进行识别,正确率达到95%,证实了该模型应用的有效性。     

沉积微相图的自动绘制技术

沉积微相研究是开发地质研究的重要环节,准确的沉积微相是储层物性展布模型接近油藏实际的重要保证。论文在推广的地质建模软件Earthvision深度开发的基础上,提出了沉积微相图自动绘制的技术方法,并应用用户自主开发语言完成了软件模块的编制。实例应用检测效果良好,这表明提出的方法实用性较强,克服了目前开发地质研究过程中沉积微相图件制作仅根据储层厚度的大小来简单划分造成的精度不够,无法满足储层分布模型要求的缺陷,对于改善开发地质的研究手段、提高模型建立精度具有重要意义。     

一类正则模糊神经网络及在沉积微相识别中的应用

考虑一种5层结构的正则化模糊神经网络模型，针对网络结构的优化问题给出了该网络模型规则层节点的选取方法和相应的反传学习规则；针对样本筛选问题，提出一种按模糊隶属函数值相近样本向量类别矫正策略。将正则模糊神经网络用于油藏沉积微相的识别，可自动提取测井曲线与微相类型之间复杂的映射关系，实现沉积微相的连续识别。实际资料处理结果表明，该方法对解决沉积微相识别问题具有良好的适应性和实用性。     

解决地质非平稳性的新方法

在传统的储层随机建模中,获得具有代表性的统计数据需要平稳的训练图像,因此,建模中都基于平稳性假设。针对非平稳地质现象是普遍存在的这一事实,首先提出了四种不同的多点地质统计学算法来模拟非平稳现象,然后从方法和应用的角度具体阐述了用存在的模型作为训练图像结合核函数新的多点模拟方法。结果发现,该方法能很好地捕获真实空间地质体的空间差异性。同时,这个算法具有很重要的实践意义,解决了基于地质过程储层模型的井数据条件化的问题。     

鄂尔多斯盆地延长探区上古生界石千峰组沉积微相特征研究

分析了延长探区内已有探井的录井、测井和岩心观察结果等资料后认为,石千峰组沉积相可分为三角洲相和湖相。石千峰组自下至上分为千5、千4、千3、千2和千1五个段。千5段以三角洲相、三角洲前缘亚相为主,其中的水下分流河道和河口坝微相为主要含气相带。2006年起,在此处见到了工业气流。由此可见,此处具有良好的勘探前景。千4～千1四段以湖相滨、浅湖亚相为主,主要发育泥岩,巨厚的泥岩是千5及其以下气层的良好盖层,所以,建议在下石盒子组、山西组等下覆主力层勘探开发时一并兼探千5。这样做可节约成本,提高产量。     

微网控制系统中多AgentQ学习算法的研究

本文首先介绍了微网控制系统的多Agent结构以及各Agent的工作流程,然后提出了应用于微网控制系统的多Agent结构的协作学习算法,该算法在Q学习算法的基础上进行了改进,使之适用于混合环境中。最后将IEEE9节点系统作为微网模拟系统并在其中进行了仿真,结果显示该算法可以在微网功率发生波动时快速地使功率恢复到稳定状态。     

基于小波神经网络的图像重构训练算法研究与实现

针对传统的图像重构算法的不足，提出一种基于小波神经网络的图像重建快速学习算法，运用小波神经网络对图像重构进行了仿真研究，实验表明，对于不同的误差模型，小波神经网络采用不同的基函数可以很好地对非线性系统进行逼近，收敛速度快，近似精度高，而且网络规模也较小，计算量少，对计算机视觉和图像处理具有良好的应用价值。     

基于工作流技术的多点统计储层建模方法研究

面对日益复杂的储层建模方法,手动建模流程越来越不能满足建模人员的需要,同时也不便于管理.文章通过研究多点统计储层建模流程,提出了构建基于工作流技术的储层建模流程的系统框架,讨论了这个框架中每一层的功能,着重探讨了系统应用层可视化建模工作流设计及关键技术实现.应用所述建模方法能提高多点统计储层建模的效率并降低建模成本.     

一种基于多分辨率的图像跟踪算法

提出了一种基于多分辨率的图像处理方法，图像在不同分辨率的层上进行处理，从而获得较快的处理速度，同时保证了一定的鲁棒性。     

Parallel adaptive reservoir simulation

In oil-industry it is common use to simulate the exploitation of an oil-reservoir by means of some numerical method. Such a numerical method may use the concept of dynamical local grid refinement, in order to mark fronts of water and oil, which move through the reservoir. In this paper, we discuss a domain decomposition method, which may be used to parallelize reservoir simulation. The parallel algorithm and timing experiments on a hypercube-type parallel computer are considered.     

MIMD implementations of linear solvers for oil reservoir simulation

This paper describes the parallel solution of a class of large sparse systems of linear equations produced by an oil reservoir simulator. Specifically, we focus on the implementation of a conjugate gradient algorithm for a transputer-based machine. After discussing communication, harnesses, we present strategies for decomposing the algorithm on a transputer array, and report the results of measurements of speed-ups for some practical reservoir problems. We then address the problemsof preconditioning by first implementing distributed forms of three standard iterative algorithms, namely Jacobi, Gauss-Seidel and Successive Over-relaxation, and determining their convergence and speed-up properties. On the basis of these measurements, we suggest that a Jacobi preconditioned conjugate gradient (JPCG) algorithm appears likely to be the most cost-effective for the class of problems under considerations. Finally we implement the JPCG algorithm and present measurements in support of our claim.     

Using VHDL for board level simulation

Prototyping is necessary for successful development of printed circuit boards built with complex components such as microprocessors, ASICs, and ASSPs. The European Space Agency uses VHDL models for board level simulation, optimizing such models for high functional accuracy and simulation performance     

Using Ada for discrete event simulation

The process interaction approach is proposed for developing a discrete simulation environment in Ada. The introduction of simulation facilities in Ada not only concerns the classical aspect of model building, but allows a new class of problems to be tackled, that is the testing of correctness of programs intended for real-time applications. In this paper attention is focused on the presentation of the process scheduling in the simulation context and on the definition of standard forms of interactions among processes. Simulation facilities are organized by making use of Ada's structuring concepts.     

水库远程调度管理仿真系统研究与构建

以GSM网络的GPRS无线通信和计算机技术为基础,构建了一种中小型水库远程调度管理系统的设计方案,并就平板闸门控制模型建立提出了一种有效合理的方法。仿真实验的结果表明,系统方案和闸门控制模型是合理的和可行的,水库中心调度站的选址可基本不受地域和距离的限制,且传输数据的实时性好、准确性高,可进一步提高管理部门的管理水平和应急反应能力。     

Using cellular automata for porous media simulation

A cellular automata (CA) approach is proposed for simulating a fluid flow through porous materials with tortuous channels at pore level. The approach aims to combine CA methods both for constructing computer representation of porous material morphology and for simulating fluid flow through it. Morphology representation is obtained using CA whose evolution exhibits self-organization and results in a stable configuration. The latter is then used for Lattice Gas CA application to simulate fluid flow through a porous material specimen and compute its permeability properties. Special boundary conditions are introduced allowing for different smoothness of solid pore walls surface. The model has been tested on a small 2D fragment in a PC and then implemented to investigate a porous carbon electrode of a hydrogen fuel cell on 128 processors of a multiprocessor cluster.     

Flood inference simulation using surrogate modelling for the Yellow River multiple reservoir system

The Yellow River, in China, is one of the largest hydro systems in the world. Flooding is a major problem for the river, and therefore over the last 50 years a large number of interventions have been made in its reaches and tributaries, in order to control the flooding events in the lowland area, downstream of the Huayuankou hydrological station. The development of new technologies and approaches to decision support has raised possibilities for creating new ways of managing the river and reducing loss of life, in the case of flooding, for the people living within the embankment area of the river. Given the importance of the river for the development of economic activity in China, it is essential to increase the understanding of the general flooding processes triggered by several reservoir operation scenarios, and then, after applying them to a flooding model of a specific area, to test the findings. The main goal of the research presented here is to investigate and develop the statistical inference between the operation of reservoirs on the Yellow River and a set of variables related to the downstream flooding, such as the total flooding volume and the peak discharge. The research shows that it is possible to use such inference models as decision support tools, by reducing the number of explanatory variables to be included in the simulations carried out to determine the appropriate reservoir operation.     

Numerical studies of a class of linear solvers for fine-scale petroleum reservoir simulation

Computing and Visualization in Science - Numerical simulation based on fine-scale reservoir models helps petroleum engineers in understanding fluid flow in porous media and achieving higher...     

Using simulation‐based experiments for software requirements engineering

We describe the use of simulation‐based experiments to assess the computer support needs of automation supervisors in the United States Postal Service (USPS). Because of the high cost of the proposed system, the inability of supervisors to articulate their computer support needs, and the infeasibility of direct experimentation in the actual work environment, we used a simulation to study end‐user decision making, and to experiment with alternative computer support capabilities. In Phase One we investigated differences between expert and novice information search and decision strategies in the existing work environment. In Phase Two, we tested the impact of computer support features on performance. The empirical results of the two experiments showed how to differentially support experts and novices, and the effectiveness of proposed information systems before they were built. The paper concludes by examining the implications of the project for the software requirements engineering community.