Earned value management (EVM) is one of the most widely used control tools in project management. It is a well-known management system that integrates cost, schedule and performance. Based on the traditional concept of EVM, the cost/schedule monitoring and forecasting model is proposed in this paper. It gives us the analysis steps and provides the methods for monitoring the actual situation and forecasting the final cost and duration. By using this model, the managers are able to know timely the status of a project in terms of budget and schedule and forecast the developing trend and ultimate outcome of the project. So it is a reliable method to improve the capability of project managers for making reasonable decisions.
The pore‐throat structure and fluid mobility are the key factors of tight sandstone reservoir classification and evaluation. Taking the Jurassic Shaximiao Formation tight sandstone reservoir in Central Sichuan Basin as an example, 19 samples were analysed by casting thin sections, scanning electron microscopy, high‐pressure mercury injection and nuclear magnetic resonance to clarify the pore‐throat structure, the fluid motility and its controlling factors. The results show that the pore type of Shaximiao Formation tight sandstone reservoir consist of intergranular pores, dissolved pores and a few microfractures. Based on the feature of capillary pressure curve, the pore‐throat structure was classified into three types, corresponding to different movable fluid characteristics. The Type I has large pore and throat radius, good pore‐throat connectivity, small fractal dimension, weak reservoir heterogeneity and strong fluid motility. The distribution range of pore‐throat radius is mainly from 0.3 to 1.1 μm and the average movable fluid porosity (MFP) and movable fluid saturation (MFS) are 6.04% and 49.93%. The Type II has poor pore‐throat sorting, weak fluid motility and the distribution range of pore‐throat radius is 0.01–0.03 μm and 0.2–0.8 μm. The average MFP and MFS of Type II are 1.13% and 14.3%. The Type III has the smallest pore‐throat radius and the largest fractal dimension, corresponding to the most complex pore‐throat structure, which lead to the worst fluid mobility. The average MFP and MFS are 0.49% and 12.76%. The fluid mobility of the tight sandstone reservoir is affected by physical properties and pore‐throat structure. The reservoirs with large pore‐throat size, good connectivity between pore and throat, and low heterogeneity have higher MFP and saturation. Moreover, the mineral compositions have different effects on fluid mobility of the tight sandstone. The feldspar positively affects fluid mobility, while the clay minerals negatively affect fluid mobility.
To optimize the structure of enterprise information systems, this paper deals with a new approach to optimize the structure of object-based knowledge mesh (OKM) based on time performance, which is the formal representation of enterprise information systems. Firstly, the relationships between knowledge points are discussed, and time performance of knowledge point relationships is discussed. Then, the representation of knowledge point construction based on the binary tree is proposed, which solves the coding problem of optimization. And then, based on the improved immune genetic algorithm, the structure of OKM is optimized. Finally, the new approach is exemplified and verified, and the optimized the structure of OKM is obtained, which lays the foundation for performance optimization of enterprise information systems.
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