The Research and Application of High Temperature Resistance Plugging Agent and Plugging Technology

For high temperature steam channeling problem of the middle and later of the heavy oil reservoir, using simple variable method to optimize the ratio of the of proportion the plugging agent and Static and dynamic performance are evaluated; combined the experimental data with CMG numerical simulation software to optimize the plugging process parameters. The formula of high temperature resistant gel type plugging agent system: The first working liquid: 1.8%cross-linking agent II+ 6% modified high temperature resistant main agent; The second working liquid: 0.03% coagulant aid+2.2% cross-linking agent I. The gelling viscosity of the plugging agent more than 2 x 106 mPa·s, PH = 6-8 is applied, heat-resistant > 280 ℃, plugging rate > 96.75%; Using the double fluid method and low-pressure low-emission to inject. Optimizing the radius of profile control is 15 m, valid for 7-10 months, it has the obvious effect of increasing oil and controlling water.Key words: Steam flooding; Steam channeling; High temperature; Plugging agent; Profile control; Double fluid metho

Pharmacokinetics/pharmacodynamics of marbofloxacin in a Pasteurella multocida serious murine lung infection model

The ARRIVE Guidelines Checklist. Animal Research: Reporting In Vivo Experiments. (PDF 391 kb

(2E,6E)-2,6-Bis(4-ethoxy­benzyl­idene)cyclo­hexa­none

The title compound, C24H26O3, was prepared by the condensation reaction of 4-ethoxy­benzaldehyde with cyclo­hexa­none. The mol­ecule has crystallographic mirror symmetry and exhibits a butterfly-shaped geometry, with a dihedral angle of 5.46 (1)° between the two benzene rings. Weak inter­molecular C—H⋯π inter­actions help stabilize the crystal structure

Research on the evolution of innovation behavior of new generation entrepreneurs in different scenarios

Innovation of new generation entrepreneurs is crucial to the development of a country. Empirical research method can analyze the history and current situation, but it is difficult to reflect the dynamic process and evolution trend under different scenarios. In this paper, we adopt computational experiment method to model the decision-making process of new generation entrepreneurs. Multi-agent evolution model is constructed to simulate individual behavior of different types of new generation entrepreneurs under different scenarios. By the comparison of different results, it analyses the evolutionary rules of innovation behaviors and explores guidance policies to promote entrepreneurs’ innovation behavior and achieve better innovation performance. The experimental results show that although internal elements such as individual’s innovative spirit, innovative ability and cognition of social capital determine the innovation intention, the capital, technology and talent conditions are also very important for innovation implementation. New generation entrepreneurs with different risk preferences should objectively evaluate and treat innovation risks according to their own characteristics. This helps to reduce the negative impact of innovation risk on continuous innovation. Meanwhile, government should pay attention to establishing risk guarantee mechanism such as innovation insurance fund to promote the innovation of new generation entrepreneurs. First published online 17 April 202