Research On Variation Regulation Of Water Flooding Development Index At The Extra High Water Cut Stage Of W Oilfield

Most of the oil field has entered the middle-last stage of development in our country at present. The remaining reserves of the stage are reduced and the difficulty of the mining are increased, in order to achieve the purpose of increased production and stable production,some wells of oilfield will implement measures. With increased difficulties of mining, how to optimize measures workload of oilfield to get better economic benefits and complete production, which become a important problem.In recent years, W oilfield have totally gone into high water cut stages and high recovery degree reserves from the partial period, facing with a stern fact that it transitions from a basic injected and produced fluid balance to a serious imbalance. Therefore, it is of important practical significance for predicting the production of remaining oil and improving recovery efficiency that strengthen the research of diminishing prediction of each well pattern. In this paper, by using a series means of graphical method, try and error method, curvilinear dislocation, type curve matching method and binary regression analysis, we comprehensively judged the production decline types of different well patterns, and calculate the production decline rate of each set of well pattern.The water cut of the water controlled field is an aggregative indicator which is affected by various factors during the development of the field. It can not only reflect the oil layer and the restriction of liquid flowing rules from crude oil physical property but also can reflect the effect of serious technical measures during the exploitation. Incremental rules of water cut are closely related with water percentage. This paper evaluate the rising level of water-cut of various well network during oil producing with super high water cut in W oilfield, compared the differences between various well network and make analysis of the geology and exploit causes. Finally, we predict the development indexes of each kinds of well pattern at the extra high water cut stage with the method of resultant, production composition analysis method,the method of multiple regression and so on.