一种新的稠油油藏蒸汽吞吐OSR预测方法

利用HCZ（胡－陈－张）预测模型,可以对已开发油田的年产量和累积产量进行全程预测,并且在实际应用中取得了较好的预测结果。本文将HCZ预测模型应用于蒸汽吞吐稠油油藏,推导出的稠油蒸汽吞吐油汽比程式,可以对蒸汽吞吐稠油油田油汽比进行预测,为油田编制开发方案 和中长期规划及储量资产优化提供依据。文中结合油田实例,对蒸汽吞吐稠油油藏的开发进行了预测,取得了较好的预测结果。     

海上稠油油藏蒸汽吞吐效果预测模型

海上稠油油田蒸汽吞吐开发与陆上有很多不同之处,效果预测不能照搬陆上油田的模型。以渤海油区某稠油油藏为典型区块,根据海上油田特点建立基础方案,运用数值模拟方法讨论了蒸汽吞吐采收率和内部收益率与油藏主要静态参数的相关关系;基于正交设计和油藏数值模拟方法,产生了效果预测样本集;采用多元回归方法建立了海上稠油油藏蒸汽吞吐的采收率和内部收益率效果预测模型,以海上油田类似油藏蒸汽吞吐效果预测结果进行验证,对渤海海域稠油油藏蒸汽吞吐潜力进行了预测。     

计算稠油油藏蒸汽吞吐阶段可采储量的方法

根据辽河油田蒸汽吞吐开发稠油油藏的实践,通过数理统计分析,认为处于蒸汽吞吐阶段的稠油油藏,其累积产油量和累积注汽量之间,在半对数座标系上,具有较好的线性关系。因此可用注采特征曲线,以油田的油汽比确定其相应的产量,解决蒸汽吞吐阶段的配产问题;又可根据蒸汽吞吐阶段的极限油汽比,计算该阶段的可采储量。曙1-7-5断块已开发10年,应用该方法证实了它的适用性,并在其它油田应用较好。该方法应在蒸汽吞吐两周期以上才能适用。     

特薄层稠油油藏蒸汽吞吐产能预测方法及应用

结合Boberg-Lantz单井蒸汽吞吐产量预测方法和物质平衡法构建了特薄层稠油油藏蒸汽吞吐产能预测模型,该模型结合了两种方法的优点,准确性较高。根据数模结果结合经济极限法确定了该类油藏注汽选井条件,并对注汽强度进行了优化设计。将该模型推导的结论在八面河油田面138区沙四段应用后效果显著,对该类油藏的注汽开发具有较好的指导意义。     

特薄层稠油蒸汽吞吐界限及开采技术研究

通过对河南井楼、古城油田特薄层稠油油藏地质特征再认识研究,总结出了此类油藏蒸汽吞吐生产规律;并运用动态财务净现值法和油藏数值模拟技术,研究了特薄层稠油蒸汽吞吐经济极限油汽比、产量以及不同类型稠油吞吐开采地质参数界限条件;优化了注采工艺参数;阐明了提高开发效果的技术对策,取得了较好的经济开采效果.     

稠油蒸汽吞吐油汽比经济界限预测模型

针对稠油蒸汽吞吐油汽比指标预测难,热采油藏效益开发经济界限不明确的问题,在稠油油藏蒸汽吞吐产量和油汽比变化规律研究基础上,利用热采稠油注采特征曲线联立Logistic模型,建立了油汽比经济界限预测模型,实现了原油产量与油汽比的同步预测。通过新疆风城超稠油重18J_1b块实例验证,在注采特征曲线出现稳定直线段时,该模型预测的年产油量及油汽比误差约为3. 0%,结果较为准确。预测该区块2025年达到经济极限油汽比0. 042 5,对应年产油量为1. 03×10~4t/a。该研究为稠油油藏中长远规划及项目经济评价提供理论依据。     

一种计算蒸汽吞吐阶段可采储量的统计方法

根据辽河油田蒸汽吞吐开发稠油的实际生产资料，通过数理统计分析，发现处于蒸汽吞吐阶段的稠油油藏，其累积注汽量和累积产油量之比与累积注汽量在直角坐标系上，具有较好的线性关系。利用这一线性关系，以油藏的油汽比确定注汽量，可解决稠油蒸汽吞吐阶段的配产问题；又可根据蒸汽吞吐阶段的极限油汽比，计算该阶段的可采储量。通过实例验证表明：该方法在蒸汽吞吐两周期以上使用是行之有效的     

稠油热采开发中后期提高注入蒸汽效果的探讨

稠油油田热采进入中后期开发 ,吞吐周期高 ,地层压力保持水平低 ,地下存水多 ,导致注蒸汽开采时油汽比低 ,采注比低 ,吞吐转汽驱后达不到经济油汽比 ,进一步提高采收率困难。为此 ,提出了进一步提高稠油热采采收率、蒸汽热能利用率和稠油开发综合效益的新型高效蒸汽增效技术。通过扩大蒸汽波及体积和提高蒸汽驱油效率来提高采收率 ,通过提高油汽比和采注比来提高蒸汽热能利用率 ,而且一周期实施 ,多周期受效 ,特别适应高周期吞吐的油藏。     

一种计算蒸汽吞吐阶段可采储量的统计方法

根据辽河油田蒸汽吞吐开发稠油的实际生产资料，通过数理统计分析，发现处于蒸汽吞吐阶段的稠油油藏，其积累注注汽量和累积产油量之比与累积注汽量的在直角坐标系，具有较好的线性关系，利用这一线性关系，以油藏的油汽比确定注汽量，可解决稠油蒸汽吞吐阶段的配产问题，又可根据蒸汽吞吐阶段的极限油汽比，计算该阶段的可采储量，通过实例测验表明：该方法在蒸汽吞吐两周期以上使用是行之有效的。     

稠油油藏蒸汽吞吐参数优化及效果预测

以某稠油油藏为例,通过数值模拟方法,对7种蒸汽吞吐参数(注汽强度、注汽速度、注汽干度、注汽温度、焖井时间、排液速度和周期注汽量递增)进行优化,得出适合该油藏的蒸汽吞吐参数,并对蒸汽吞吐开发效果进行了预测,为该油田稠油区块蒸汽吞吐的现场应用提供了合理的注汽工艺参数。     

基于数据驱动的蜡油加氢装置产品预测与多目标操作优化

依据某炼油厂蜡油加氢装置生产数据,采用Aspen HYSYS对该装置进行机理建模,并用分层随机抽样法验证机理模型的有效性;然后以正常生产的28种减压蜡油和焦化蜡油进料量分区,运行机理模型,扩充了产品预测数据集.在此基础上,利用BP神经网络建立蜡油加氢装置的产品预测数据驱动模型,来预测精制蜡油流量,精制蜡油中硫、氮的质量...     

原油乳状液稳定性研究：Ⅶ.蜡晶对油水界面膜性质的影响

对分别含有大庆,吉原油界面活性组分的航空煤油与蒸馏水及模拟地层水在不同温度下的界面粘度,界面膜屈服值进行了测定。结果发现,由于吉林原油界面活性组分含有较多的蜡晶,当温度较低时,随温度升高,吉林模型油界面粘度逐渐升高,界膜表现为负触变性;     

Prediction of heavy oil viscosity using a radial basis function neural network

Heavy oil and extra heavy oil resources comprise about 75% of petroleum resources. The most important characteristic of heavy oils is their viscosity. Consequently, to extract and prepare these kinds of crude oil for use, great emphasis should be put on viscosity. The present study highlights the application of intelligent model named radial basis function (RBF) network optimized by genetic algorithm for estimation of diluted heavy oil viscosity in presence on kerosene. The input parameters of model were temperature and mass fraction of kerosene. The output of model was viscosity of heavy oil. Genetic algorithm was utilized to optimize the tuning parameters of RBF model. The outcomes of this study showed that the proposed model is accurate in estimation of target data.     

Architecture of a multipurpose simulator

This paper presents the development of a multipurpose simulator with the general model describing a four-component, three-phase (oil, aqua, gas), multi-dimensional, finite-difference polymer injection simulator. The model uses a block-centered grid and a seven-point finite-difference scheme. Fluid saturations and pressure distributions are obtained from a fully implicit formulation using Newton's method, whereas polymer concentration is obtained, in a subsequent step, explicitly using the method of cascade. Practical features of the present simulator include: (1) a truly multipurpose simulation; and (2) ease of preparing a batch data file required for the simulator. A novel and simple procedure is implemented to reduce the general model of the polymer injection simulator (polymer, oil, aqua, and gas) to: (1) three-phase black-oil simulator (oil, water, and gas); (2) two-phase black-oil simulators (oil and water, oil and gas, or water and gas); (3) two-phase polymer injection simulator (polymer, oil, and aqua); and (4) one-phase simulators (oil, water, or gas) with only the relevant equations being solved at the matrix level for each simulator. Guidelines for other practical features are also presented.The simulator was tested and verified using a polymer injection test problem and a gas injection bench mark test problem both reported in the literature. The simulator was also used to model a field case and some results are highlighted.     

基于改进的布谷鸟搜索算法的原油选择与混合优化方法

Refineries often need to find similar crude oil to replace the scarce crude oil for stabilizing the feedstock property.We introduced the method for calculation of crude blended properties firstly, and then created a crude oil selection andblending optimization model based on the data of crude oil property. The model is a mixed-integer nonlinear programming（MINLP） with constraints, and the target is to maximize the similarity between the blended crude oil and the objective crudeoil. Furthermore, the model takes into account the selection of crude oils and their blending ratios simultaneously, and transformsthe problem of looking for similar crude oil into the crude oil selection and blending optimization problem. We appliedthe Improved Cuckoo Search （ICS） algorithm to solving the model. Through the simulations, ICS was compared withthe genetic algorithm, the particle swarm optimization algorithm and the CPLEX solver. The results show that ICS has verygood optimization efficiency. The blending solution can provide a reference for refineries to find the similar crude oil. Andthe method proposed can also give some references to selection and blending optimization of other materials.     

减压蜡油加氢脱硫宏观反应动力学模型的研究

以减压蜡油为原料,考察反应温度、氢分压、体积空速、氢油比、原料油性质对加氢精制油硫含量的影响,建立减压蜡油加氢脱硫反应宏观动力学模型,对动力学参数的影响因素进行关联和试验验证。验证结果表明,模型计算得到的精制油硫含量与试验得到的精制油硫含量具有较好的吻合性。     

喇萨杏油田开发二类油层上（下）返层系方法的确定

大庆油田二类油层一次上返开发将全面结束，二次上（下）返开发面临着选择新钻井还是利用一套井网开发的问题。为确定二类油层不同区块上（下）返开发模式，为区块开发提供依据，以北一区断东的东部区块为例，建立系统经济模型，将区块首段层系与上返层系看作一个系统，建立了不同油价下两种模式的首段层系累产油界限图版，确定了钻新井与利用一套井网开发的首段产量界限，通过建立区块经济极限含水模型、反正切含水与水驱规律曲线联解预测模型，得到区块规划上返时至经济极限含水时的阶段累产油，依据建立的经济界限图版，确定了区块上（下）返开发方式。研究结果表明，北一区断东的东部区块在油价40 美元时，应采用一套井网利用上（下）返开发，油价70 美元时，应采用新钻井的开发模式。     

Selection of Sinopec Lubricating Oil Producing Bases by Using the AHP Model

The factors affecting the development of Sinopec lubricating oil were analyzed in this paper,and an analytic hierarchy process(AHP)model for selecting lubricating-oil producing bases was developed.By using this model,nine lubricating oil producing companies under Sinopec were comprehensively evaluated.The evaluation result showed that the Maoming Lubricating Oil Company(Guangdong province),Jingmen Lubricating Oil Company(Hubei province)and Changcheng Lube Oil Company(Beijing)are top three choices,and should be developed preferentially for the development of Sinopec producing bases of lubricating oil in the future.The conclusions provide the theoretical basis for selecting lubricating oil producing bases for decision makers.     

聚合物类型对油水界面性质影响研究

采用平面张力仪和表面粘弹性仪研究了部分水解聚丙烯酰胺（HPAM）和疏水缔合聚合物（HAP）对油水界面性质的影响研究结果表明,疏水缔合聚合物HAP可以显著降低煤油／模拟水体系界面张力,但对模拟油／模拟水体系界面张力影响较小;部分水解聚丙烯酰胺类聚合物CA对煤油／模拟水和模拟油／模拟水体系界面张力无明显影响。无论是煤油／模拟水体系还是模拟油／模拟水体系．随聚合物溶液浓度的增加,部分水解聚丙烯酰胺类聚合物CA均使体系界面剪切粘度逐渐增大。而疏水缔合聚合物HAP均使体系的界面剪切粘度先增加,后降低,而后再增加。部分水解聚丙烯酰胺（HPAM）相对分子质量较大时,HPAM溶液／模拟油体系的界面剪切粘度较大。     

随机油价下的油田开发规划优化模型

为了科学合理地制定油田开发规划方案，建立了随机油价下的油田开发规划优化模型。首先利用功能模拟原理（微分模拟方法及神经网络方法）建立油田采油厂产量与其对应影响因素的关联关系，然后在随机油价下，根据油田开发的实际情况，在对决策变量、目标函数、约束条件进行分析的基础上，研究每个采油厂或开发单元的具体情况并建立定产量、定成本、效益最好的产能分配优化模型，并采用改进内点法对优化模型进行求解。采用这一优化过程，成功地解决了油田开发规划中随机油价下的油田（采油厂）产量、工作量及成本的最优分配问题。将该模型应用干中国某油田中后期开发阶段产量规划中，产生了巨大的经济效益。表3参12