英东地区产能评价研究

发布时间：2018-06-01 03:47

本文选题：英东地区 + 产能评价　；参考：《长江大学》2015年硕士论文

【摘要】：油田勘探开发的过程中,油层产能评价占着十分重要地位,一方面它能评价并提高前期勘探的效果,另一方面它能为开发规划方案提供的一些基础数据。然而实现对储层产能进行定量、半定量的预测评价则仍处在探索阶段。目前,油层产能评价只能通过试油、试采数据或油藏数值模拟等手段进行预测,还没有一套能够利用常规测井资料预测油层产能的成熟方法。以渗流力学为理论基础的试井分析是广泛适用的油层产能评价方法,但是试井存在成本相对较高、时间长,试井分析层段有限、求取的相关参数为地层的平均值等不足。而测井技术成本较低、资料较多,可以细化到每个小层,而且测井技术几乎贯穿油气资源建产的全过程,具有很好的应用基础。本文在研究区块储层“四性”关系的基础上,对测井渗透率、试井渗透率以及二者关系进行分析。在文献调研统计法测井预测产能方法的基础上,根据研究区块的储层特征选用综合产能指数法和多元回归分析法对英东地区进行产能评价。根据给出的油藏的物理和数值模型,结合英东地区的实际情况,分析该区复杂断层的产能随各参数的变化情况。建立径向复合储层模型、双孔-复合预测模型分析了英东地区油藏的产能情况。研究区块英东区块属于油藏,而东坪区块属于气藏,并且是一个新开发的区块,两个区块的物性参数和性质不一样,渗透率较低,非均质严重。储层主要发育石英、长石,粒度以粉砂—细砂为主,孔隙发育以原生粒间孔为主,裂缝不发育,连通性较好。基于测井数据的产能评价可以贯穿油气资源建产的全过程,具有很好的应用基础。但实际工作工作,需要综合考察地质、测试、试井等多种数据,才能保证产能预测的可靠性。具体研究成果如下：1.在影响油藏产能的储层因素中,油层有效厚度、有效渗透率是影响储层产能的主要因素,孔隙度和含油饱和度也对油藏产量也有较明显正相关影响。而泥质含量则对油藏产量呈显著负相关关系。2.在英东、东坪地区,测井渗透率与试井渗透率有一定的相关性,可用测井渗透率计算出对应小层的试井渗透率,为小层产能评价和非均值性研究奠定基础。3.基于统计方法,采用综合产能指数法和多元回归分析法预测英东地区和东坪地区产能,得出结果效果较好,整体误差小于20%。4.对于东坪区块的气井,给出了产能预测模型,并预测了产能,从结果看,预测的产能比实际试油产能偏小,但是偏差不大,验证了试井渗透率与测井渗透率关系的正确性。5.利用所建立的模型,对英东砂40井产能进行了预测。径向复合模型预测产能偏大,双孔-复合模型预测产量误差最小,英东砂40井较符合双孔-复合模型。
[Abstract]:In the process of oilfield exploration and development, reservoir productivity evaluation plays a very important role. On the one hand, it can evaluate and improve the effect of early exploration, on the other hand, it can provide some basic data for development planning. However, to achieve quantitative reservoir productivity, semi-quantitative prediction and evaluation is still in the exploration stage. At present, reservoir productivity evaluation can only be predicted by means of oil test, production test data or reservoir numerical simulation, and there is no mature method to predict reservoir productivity using conventional logging data. Well test analysis based on percolation mechanics is a widely applicable method for reservoir productivity evaluation. However, the cost of well testing is relatively high, the time is long, the interval of well test analysis is limited, and the relevant parameters obtained are the average value of formation, etc. The logging technology has the advantages of low cost and more data, which can be refined to every small layer, and the logging technology almost runs through the whole process of oil and gas resource construction and production, which has a good application foundation. On the basis of studying the relation of "four properties" of reservoir in block, this paper analyzes well logging permeability, well test permeability and their relationship. On the basis of literature investigation and statistics, this paper selects comprehensive productivity index method and multiple regression analysis method to evaluate productivity in Yingdong area according to reservoir characteristics of study block. According to the physical and numerical models of the reservoir and the actual situation in Yingdong area, the variation of the productivity of complex faults with various parameters in this area is analyzed. The radial composite reservoir model was established and the productivity of the reservoir in Yingdong area was analyzed by using the dual pore composite prediction model. Yingdong block belongs to reservoir, while Dongping block belongs to gas reservoir and is a newly developed block. The physical parameters and properties of the two blocks are different, the permeability is low and the heterogeneity is serious. Quartz and feldspar are mainly developed in the reservoir. The granularity is mainly silty sand and fine sand, the pore is mainly primary intergranular pore, the fracture is not developed, and the connectivity is good. The productivity evaluation based on logging data can run through the whole process of oil and gas resource production and has a good application foundation. However, in order to ensure the reliability of productivity prediction, comprehensive investigation of geology, testing, well testing and other data is necessary for practical work. Specific research results are as follows: 1. Among the reservoir factors affecting reservoir productivity, effective reservoir thickness and effective permeability are the main factors affecting reservoir productivity. Porosity and oil saturation also have a significant positive correlation on reservoir production. However, muddy content has a significant negative correlation with reservoir production. In Yingdong and Dongping areas, well logging permeability has certain correlation with well test permeability. The well test permeability of corresponding small layer can be calculated by logging permeability, which lays a foundation for productivity evaluation and non-mean value study of small layer. Based on the statistical method, the comprehensive productivity index method and the multiple regression analysis method are used to predict the productivity of Yingdong and Dongping regions. The results show that the overall error is less than 20.4. For the gas wells in Dongping block, the productivity prediction model is given, and the productivity is predicted. The results show that the predicted productivity is smaller than the actual production test productivity, but the deviation is not large, which verifies the correctness of the relationship between well test permeability and logging permeability. Based on the established model, the productivity of Yidong Sand 40 well is predicted. The prediction productivity of radial composite model is on the high side, and the error of two-hole composite model is the least, and Yingdong Sha-40 well is more suitable for double-pore composite model.
【学位授予单位】：长江大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P631.81;P618.13

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