Evaluation Of The Capacity In Yingdong Area

In the process of oilfield exploration and development, reservoir productivity evaluation to occupy very important position, on the one hand, it can evaluate and improve the effect of preliminary exploration, on the other hand it can offer some basic data for development planning. However for the reservoir capacity for quantitative and semi-quantitative evaluation is still in the exploratory stage. At present, the oil reservoir productivity evaluation can only through the test, the test data and reservoir numerical simulation method to forecast, also has no ability to use mature method to conventional logging data to predict reservoir capacity.In fluid mechanics as the theoretical basis of well test analysis reservoir productivity evaluation method is widely applicable, but the cost is relatively high, long time, limited well test analysis intervals, the relevant parameters for calculating the average of the formation such as lack of well test exists. The lower cost logging technology, more information can be refined to each small layer, and oil and gas well logging technology resources to build capacity almost throughout the whole process, with good application base.Block reservoir in this study, on the basis of "four sex" relationship, the logging permeability, and the relationship between well testing permeability are analyzed. On the basis of the method of literature investigation statistics logging prediction capacity, according to the research block reservoir characteristics to choose comprehensive productivity index method and multiple regression analysis method to evaluate capacity YingDong region. According to reservoir physical and numerical model, in combination with the practical situation of YingDong region, analysis of the complicated fault capacity with the change of the parameters. To establish the model of radial composite reservoir, double holes - composite prediction model YingDong reservoir capacity situation are analyzed. Yingdong Research blocks belong to the reservoir block, and the block belongs to the Dongping reservoir, and is a newly developed blocks, physical parameters and properties of the two blocks is not the same, low permeability, heterogeneous serious. Reservoirs are developed quartz, feldspar, size silt-sand-based, pore development with mainly primary intergranular holes, cracks are not developed, good connectivity. Based on evaluation of log data capacity can build capacity throughout the oil and gas resources of the whole process, with good application base. But the actual work of the need to examine more comprehensive geological data, testing, well testing, etc., in order to ensure the reliability of forecasts of production capacity.The specific research results are as follows:1. In the reservoir factors influencing the reservoir capacity, reservoir effective thickness, the effective permeability is the main factors affecting reservoir capacity, porosity and oil saturation of reservoir production also has the obvious positive correlation. And shale content on yield of the reservoir has significant negative correlation relationship.2. In YingDong & Dongping proposed, logging permeability and permeability test has certain relevance, available logging permeability calculated corresponding to the permeability test of small layer layer for small capacity evaluation and the study of non average.3. Based on statistical method, the comprehensive capacity index method and multiple regression analysis to predict YingDong region and proposed capacity, the results of the effect is good, the whole error is less than 20%.4. To gas wells in Dongping block, it production forecasting model and forecast production capacity, from the result, the prediction capacity than the actual test oil production capacity is small, but little deviation, verify the well testing permeability logging correctness permeability relationships.5. Yingdong Sand 40 well productivity were predicted by the established model. Radial composite model predictive capacity is too large, double - Composite model output error is minimized, Ying Tung sand 40 wells more in line with two holes - a composite model.