针对冀中坳陷束鹿凹陷潜山油藏特征复杂、主控因素不明等问题,运用石油地质学、沉积学综合研究的方法,对该区潜山油气成藏主控因素和成藏模式进行研究.通过分析潜山类型、潜山储层和潜山油气输导体系的特征,得出了束鹿凹陷具备形成多样性潜山油藏的基础;并从烃源岩条件、储盖组合特点、油藏模式等方面对潜山多样性油气成藏特征进行探讨,明确了各类潜山油藏的成藏主控因素.研究认为,底板层有效性是顶超削截楔状体地层潜山油气成藏主控因素,基底油源断层是洼中隆起潜山油气成藏主控因素,侧向封挡条件是断阶潜山油气成藏主控因素.研究指出斜坡区断阶潜山和断沟侵蚀潜山是下步勘探最为有利的类型和区带,有效地指导了束鹿凹陷潜山目标的落实与钻探部署,实现了潜山领域勘探的新突破.

1,1,2,3-tetrachloro-1-propene is an effective component of synthesized herbicide triallate. The conversions were investigated and compared for the isomerization of 2,3,3,3- tetrachloro- 1- propene to 1,1,2,3- tetrachloro- 1- propene by using the catalysts WD-01 and WD-02. Finally WD-02 prepared with the industrial grade metal oxide was determined as the catalyst optimum for the isomerization of 2,3,3,3-tetrachloro-1-propene after the balancing on catalyst amount, production costs and environmental aspects. The results show that under the conditions of reaction temperature [HJ76x] 125～ 128 ℃ and the mass ratio 1.8× 10~ -3 of WD- 02 to raw material of tetrachloro-1- propene mixture,the isomerization conversion is 87.49%,and the utilization ratio of triallate raw materials increases from 55% to above 70%, so the yield of emulsifiable triallate solution is promoted too.

Due to many factors affecting pipeline safety,it is difficult to discern pipeline risk and predict accident consequence.How to guarantee using the integrity investment on risky pipeline at first is a question not easy to deal with.Such 8 comparative indexes are put forward as accident times,pipeline age,expected pipeline life-span,transportation capacity,pressure-bearing allowance,area grade,relative risk value,value index.Gray Relation Analysis Method is applied to prioritizing pipeline maintenance and reformation.This method is beneficial for pipeline companies to prepare pipeline maintenance and reformation sechedule and make reasonable decisions.

The fracturing effect is usually reflected by valid period.But the influence factors are too many to determine the forecast model.BP neural network can consider multiple variable factors,and self-organizes the parameters that may influence the valid period,establishes the comprehensive accurate model on valid period eventually.The example shows that the prediction model can forecast the valid period more accurately and rapidly.The method provided by this paper has wide application foreground.