Reservoir Development And The Early Stages Of Stochastic Reservoir Modeling Technology Research

Because the characteristic of new and exploiting oil fields become more and more complicated, the cost for improving percentage recovery of cruel oil grows more and more expensive, it inquires oil field geologists to try their best to use fine or quantitative reservoir geology models to reveal the feasibility characteristic of underground reservoirs. The techniques and methods to construct reservoir geology modeling include deterministic modeling and stochastic modeling now. In contrast to deterministic modeling, reservoir stochastic modeling is the best way to build fine or feasibility quantitative modeling. While the techniques of reservoir stochastic modeling are still in research in China, by comparing with those in abroad, the spatial difference are so great that it is most important and useful to go in for technique research of reservoir stochastic modeling .Because of the stages characteristic of reservoir stochastic modeling, the author only research the techniques of reservoir stochastic modeling in the early exploit stages in this dissertation.According to the category which was made by the specialist in China and abroad, I define the assess stage and scheme design stage as early stage of exploitation in which the aim of reservoir stochastic modeling is. provide reference for the feasibility research and selecting the best ingestion scheme.In order to study the technology of reservoir stochastic modeling well, I has looked up a large of national and foreign documents, centered around the question of reservoir heterogeneity firstly from the beginning of the stage of reservoir modeling technology and for the first time conclude the theory, algorithm and practice steps of reservoir stochastic modeling, then make a perfound theory analysis about all kinds of main problems in reservoir stochastic modeling under the directive of geology especially comparison deposition, finally I put the theory into gas and oil field practice and conclude a complete and new stochastic modeling method in early stage of exploitation from the establishment of geology knowledge database and the selection of stochastic stimulation methods to four-step modeling. The method makes the establishment of model systematic, that is to build single sand body heterogeneity model, sand body section model, two dimensional model of thin sand body and three dimension model according to layer order and stage. This method is new in this area. This method suits not only in construction conceptual model in the early stage of reservoir exploitation but also in guiding construction fine model. This method will useful to make more people to use reservoirstochastic modeling technique .It is the core question that how to describe reservoir heterogeneity characteristic in the reservoir modeling.To solve the question of reservoir heterogeneity, I classify the reservoir heterogeneity systematically and in three dimensions according to reservoir residential unit scale, reservoir character and reservoir direction at first. Then, I put forward a set of methods about how to systematically analyze reservoir heterogeneity . To use this method, it is easily to research reservoir heterogeneity from several directions so that it is capability to describe three dimension reservoir heterogeneity characteristic about different reservoir residential unit scale.To describe this different reservoir heterogeneity characteristic about reservoir unit scale in three dimensions, I have researched a series of lain questions about reservoir modeling in theory. Through this research, I understand the relationships between geology statistics characteristic and reservoir heterogeneity at first. Rock characteristic variation function, sand rock surface area density or sand rock volume density can describe reservoir physics characteristic parameter plane (space, cross section) distribution heterogeneity. Secondly, the stochastic about reservoir space distribution characteristic in modeling because of big well distance and few condition datum has little influenc...