萨中开发区特高含水期开发指标变化规律及影响因素研究

发布时间：2019-06-14 04:19

【摘要】：萨中开发区处于特高含水产量递减阶段,存在剩余油挖潜难度大、储采平衡矛盾加剧、耗水量大、液油比高、无效注采循环严重等问题。因此对油田进行综合技术调整和开发效果评价显得尤为重要。本文对萨中开发区各井网含水上升规律进行研究:首先由水驱规律的理论基础入手,从特高含水期油水相渗比变化规律与理论假定的差异出发分析水驱规律曲线上翘原因,并总结上翘时机的影响因素。进一步分井网优选含水变化规律,分析总结影响含水变化的主要因素。对萨中开发区产量递减规律进行研究,对比常用方法优选出适合各套井网的递减规律,并分析产量递减率的影响因素;对于未发生递减井网,采用翁氏模型进行拟合,得出适用的预测模型。为了克服水驱特征曲线方法和产量递减方法在进行开发指标预测时的局限性,将二者进行联解可以更好地进行开发指标预测:通过理论推导得到不同水驱特征模型和产量递减模型的联解公式;对比优选出适用于各套井网的水驱规律曲线和产量递减模型,代入联解模型进行分井网开发指标预测;对于未发生递减井网则采用广义翁氏模型与水驱特征曲线联解模型进行预测。对比各套井网各种预测模型的拟合精度发现,运用联解模型的拟合精度都要好于单一模型,对于各套井网联解模型的适用性更好,因此采用联解模型对各套井网进行开发指标预测效果更准确。鉴于各井网地下注采关系复杂,致使各井网地质储量难以进行劈分的特殊情况,我们利用动态跟踪预测法测算各井网可采储量,并引入视含水上升率和可采储量采油速度进行指标预测。由油田开发实际知道,井网投产后采取常规措施对增加可采储量作用有限,可以认为各井网的可采储量近似保持稳定,因此利用基于可采储量采出程度的各种关系曲线进行开发指标预测是可行的。
[Abstract]:Sazhong Development Zone is in the stage of decline of ultra-high water cut production, which has some problems, such as difficult to tap the potential of remaining oil, aggravated contradiction of storage and production balance, large water consumption, high ratio of liquid to oil, and serious invalid injection-production cycle. Therefore, it is particularly important to adjust the comprehensive technology and evaluate the development effect of the oil field. In this paper, the law of water cut rise in each well pattern in Sazhong Development Zone is studied: firstly, starting from the theoretical basis of water drive law, starting from the difference between the change law of oil-water phase permeability ratio and theoretical assumption in ultra-high water cut stage, this paper analyzes the reasons for the upturn of water drive law curve, and sums up the influencing factors of the rising time. Further, the variation law of water cut is optimized, and the main factors affecting the change of water cut are analyzed and summarized. The law of production decline in Sazhong Development Zone is studied, the decline law suitable for each set of well patterns is optimized by comparing the common methods, and the influencing factors of production decline rate are analyzed. For the non-decline well pattern, Weng's model is used to fit, and the suitable prediction model is obtained. In order to overcome the limitations of water drive characteristic curve method and production decline method in the prediction of development index, the combined solution of the two methods can be used to predict the development index better: through theoretical derivation, the joint solution formulas of different water drive characteristic models and production decline models are obtained, and the water drive law curve and production decline model suitable for each set of well patterns are compared and selected, and the development index prediction of well pattern is carried out instead of the combined solution model. For the non-decline well pattern, the generalized Weng's model and the water drive characteristic curve joint solution model are used to predict the well pattern. Compared with the fitting accuracy of various prediction models of each well pattern, it is found that the fitting accuracy of the combined solution model is better than that of the single model, and the applicability of the combined solution model is better than that of the single model, so it is more accurate to use the joint solution model to predict the development index of each well pattern. In view of the complex relationship between underground injection and production of each well pattern, which makes it difficult to split the geological reserves of each well pattern, we use the dynamic tracking prediction method to calculate the recoverable reserves of each well pattern, and introduce the index prediction based on the rising rate of water cut and the recovery rate of recoverable reserves. It is known from the practice of oil field development that the effect of conventional measures on increasing recoverable reserves is limited after the well pattern is put into operation, and it can be considered that the recoverable reserves of each well pattern remain approximately stable, so it is feasible to predict the development index by using various relational curves based on the recovery degree of recoverable reserves.
【学位授予单位】：东北石油大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE357.6

【相似文献】