深层低渗油藏剩余油描述和挖潜技术研究与应用

本文针对沙三上深层低渗油藏特点,运用油藏精细描述技术细分流动单元,研究储层构造,沉积微相,采用三维可视化地质建模技术建立油藏三维地质模型,应用密网格大规模油藏精细数值模拟技术,结合生产动态监测资料综合分析和定量评价剩余油分布,在此基础上,采用剩余油挖潜措施,并结合配套的注采工艺技术充分挖掘剩余油潜力,该方法和技术对同类油藏开发调整具有一定的指导意义。     

Petrel软件在油藏三维地质建模中的应用

油藏三维地质建模是油藏精细描述的核心,也是油藏数值模拟研究的基础。Petrel 软件是油藏三维地质建模中使用的主流软件,它通过对油藏的构造特征,属性特征进行模拟,建立符合油藏实际地质特征的三维可视化地质模型,指导剩余油挖潜和提高采收率。     

濮城油田沙三上1-4油藏数值模拟技术的研究与应用

本文针对该油藏的具体特点 ,以流动单元为基本 ,根据油藏精细描述技术研究成果 ,结合生产动态监测资料综合研究油藏的各种物理性质和流体性质 ,定量评价剩余油分布。根据研究结果 ,系统调整注采井网 ,充分挖潜剩余油潜力。     

油田高含水期剩余油挖潜研究

本文是在大量研究有关老油田高含水期剩余油挖潜研究技术文献的基础上,通过对濮城油田这一类高含水期剩余油挖潜研究技术的系统总结,针对高含水期多油层断块油藏的特点,在细分流动单元的基础上,进行微构造研究、储层沉积微相研究、储层物性和非均质性研究,并建立油藏三维可视化地质模型;对剩余油分布进行定性分析和定量研究,然后根据剩余油分布特点采取不同的挖潜措施并取得了良好的效果。     

精细地质模型在濮城油田东区沙二下油藏建立与应用

目的 :三维可视化地质建模技术可提高油藏描述精度 ,缩短研究周期 ;应用该技术建立了濮城油田东区沙二下油藏精细地质模型 ,其成果直接应用于老区调整井的设计和挖潜措施的制定后 ,改善了油藏开发效果     

永3-1复杂断块地质建模技术在立体调整中的应用

东辛油田永3-1复杂断块油藏断层发育、构造复杂,结合地质研究和构造精细解释,应用地质建模技术可实现构造模型的三维可视化,通过分析断层在空间的延伸及相互切割关系,建立了断块区地质模型;利用三维可视化技术分析研究剩余油的分布状况,精确的指导断块剩余油挖潜工作。由分层分块开发设计模式转变为从平面(各小块间)、层间到层内的立体优化设计,最大程度地提高水驱控制和动用程度。     

欢喜岭油田锦98块杜家台油层开发调整研究

本文以全面收集、整理欢喜岭油田锦98块各项动、静态资料为前提,精细刻画油藏地质体为基础,以寻找剩余油富集区开展调整挖潜,改善开发效果为目标,将基础地质研究、沉积微相研究、储层预测、地质建模、油藏数值模拟等多种技术紧密结合,综合应用动态分析法与油藏数值模拟法分析储层的水淹程度,寻找当前的剩余油潜力区域;根据潜力区分布状况及开发中存在的问题,提出锦98块下步挖潜的目标及加密调整方案,为同类油藏的开发调整提供了有益借鉴。     

明一东油藏高含水后期精细调整探索与研究

明一东块经过多轮次的开发调整,剩余油整体高度分散,认识难度很大,针对油田事故井加剧、局部构造复杂的问题,利用高精度三维技术精细油藏描述,加大监测技术应用进行剩余油分布精细研究,落实油藏潜力,明确挖潜方向,建立适应剩余油分布特点的注采系统,配套应用适合油藏地质和开发特点的工艺技术,实现了高含水期持续高效开发.     

高含水期油藏剩余油挖潜研究

W95块已经进入高含水开发期,剩余油分布状况复杂,挖潜难度大,在储层精细描述的基础上,通过油藏数值模拟,各流动单元含油饱和度变化情况,从定性到定量分析,详细研究了剩余油的分布规律,阐述了剩余油挖潜的一些做法,为同类油田的剩余油调整挖潜提供了经验。     

文95块油藏精细描述、剩余油分布和综合治理一体化研究

油藏精细描技术近年来突飞猛进的发展，使储层研究可以成功细化到流动单元，而剩余油研究，由以前的定性一半定量化飞跃到量化和可视化描述阶段，为油藏的整体调整和方案部署提供了更加直观、准确的依据和目标，真正达到了储层精细描述、剩余油分布和综合治理的一体化研究，并在文95块沙三中油藏获得了成功，本文简要介绍了这一研究过程和结果。     

气液传质三维模型的分析与应用

板式塔的气液传质三维模型与传统的二维模型比较有许多特点。本文比较了它们的性能，突出分析了它们在处理能力上的差异。计算实例和使用实例都表明，在同样的质量要求下，三维传质塔板比二维的可提高产量1倍左右。     

Soft sensor model derived from Wiener model structure: modeling and identification

The processes of building dynamic and static relationships between secondary and primary variables are usually integrated in most of nonlinear dynamic soft sensor models. However, such integration limits the estimation accuracy of soft sensor models. Wiener model effectively describes dynamic and static characteristics of a system with the structure of dynamic and static submodels in cascade. We propose a soft sensor model derived from Wiener model structure, which is an extension of Wiener model. Dynamic and static relationships between secondary and primary variables are built respectively to describe the dynamic and static characteristics of system. The feasibility of this model is verified. Then the expression of discrete model is derived for soft sensor system. Conjugate gradi-ent algorithm is applied to identify the dynamic and static model parameters alternately. Corresponding update method for soft sensor system is also given. Case studies confirm the effectiveness of the proposed model, alternate identification algorithm, and update method.     

基于稳态模型的自适应预测控制策略及其应用

针对丙烯精馏塔,结合模型预测控制器的设计,提出基于系统稳态模型的自适应模型预测控制策略,利用稳态模型在不同操作点上被控变量对操纵变量及扰动变量的相对变化率的变化,来刷新调整预测模型各通道的增益,以有效提高对丙烯塔塔顶、塔底温度控制的性能.现场应用表明:采用该模型自适应调整方法,其控制温度的波动性降低了一个数量级,有利于产品质量的稳定.     

Jiles-Atherton模型及其应用

Jiles-Atherton(JA)模型由于具有计算简单、稳定方便、物理意义明确的优点,在压电材料、磁致伸缩材料、形状记忆合金为代表的新型智能材料的建模方面具有重要应用。但JA模型具有一些本质弱点,比如,它是一个非物理的模型,而且由于是标量模型,不能处理各向异性。针对这些缺点许多作者做了大量改进工作。本文将对这些工作简单综述。还介绍了JA模型的2个主要应用:磁滞控制和磁二相系统的建模;介绍了JA模型以及JA逆模型的基本方程以及磁滞系统的逆补偿控制的基本概念和方法。对于JA模型用于磁二相系统的建模的优缺点也作了评述。     

Specification of the Adsorption Model in Hydroxyapatite Chromatography. III. Competition Model in Gradient Chromatography and Another Relevant Model

Abstract

If a component of the multicomponents adsorbed system argued in the preceding paper is assigned to the ions from the buffer solvent and the other components to the respective molecular species in the sample mixture, the competition model in gradient chromatography can be derived. In relationship with the competition model, another chromatographic model is also proposed. Whereas the competition model is applicable to the usual hydroxyapatite chromatography carried out in an aqueous medium, the new model is probably valid in a special case of hydroxyapatite chromatography carried out in the presence of an organic solvent and, at least in some cases, of reversed phase chromatography     

PIMS模型开发与应用

介绍了二次开发PIMS长岭炼化模型及应用中所取得的经验，并给出了一整套PIMS建模辅助工具。     

SK静态混合器中液液两相流的标准欧拉模型和拉格朗日模型

利用计算流体动力学（CFD）模拟SK静态混合器中液液两相流动。采用欧拉模型中的代数滑移混合模型（ASM）,预测通过混合元件的压降、速度场和两相的体积分数分布。拉格朗日方法被用来追踪静态混合器中离散相的运动轨迹,用粒子的运动轨迹来分析混合的停留时间。     

Model of Nylon 6 Fibers Microstructure Microfibrillar Model or “Swiss-Cheese” Model?

Abstract

The microfibrillar morphological structure of aliphatic polyamide fibers has been consistently presented by the three phase microfibrillar model proposed by Prevor?ek and not by the two phase microfibrillar model proposed by Peterlin. A widely spread opinion is that the 3-phase or “Swiss-cheese” model is applicable in all cases, either in case of high-tenacity fibres or in case of standard Nylon 6 textile fibers. Although the 3-pbase X-ray analysis is now routinely performed, the basic issue of 2-phase vs. 3-phase model has not yet been resolved.

We have investigated the suitability of both models and found out that the 3-phase model which is suitable for high-tenacity Nylon 6 fibres cannot be applied in case of aliphatic Nylon 6 fibres manufactured by standard melt spun process. The microfibrillar structure of these fibers resembles to the microfibrillar model of PE more than to the morphology of high-tenacity Nylon 6 fibres. The generally established opinion about applicability of the 3-phase model for all aliphatic Nylon 6 fibres, regardless of the fiber forming process, is not acceptable. The key finding is. however, that Nylon 6 fibers can exist, depending on the forming process, in two morphologically different modifications corresponding to the above-mentioned models. By altering the fiber forming process it is possible to alter the morphology and to control the distribution of amorphous extended interfibrillar and intrafibrillar molecules, and to widen the range of mechanical and thermal properties.     

Fault Prediction Based on Dynamic Model and Grey Time Series Model in Chemical Processes

This paper combines grey model with time series model and then dynamic model for rapid and in-depth fault prediction in chemical processes. Two combination methods are proposed. In one method, historical data is in-troduced into the grey time series model to predict future trend of measurement values in chemical process. These predicted measurements are then used in the dynamic model to retrieve the change of fault parameters by model based diagnosis algorithm. In another method, historical data is introduced directly into the dynamic model to re-trieve historical fault parameters by model based diagnosis algorithm. These parameters are then predicted by the grey time series model. The two methods are applied to a gravity tank example. The case study demonstrates that the first method is more accurate for fault prediction.