Generally, the service life of aero-bearing is short generally. Through a number of statistical data analysis and further research to the failure gearing, the main problem in the usage of aero-bearing was corrosion and wear. Through various test, it indicated clearly the ion implantation into the test material of aero-bearing and the non-crystal materials appeared on the surface of test material. The feature of anti-corrosion and the feature of anti-wear were 2 times than that before. Meanwhile, Developed ionic beam machine with multiple functions for the ion implantation into the material of aero- bearing solved the problem of non-uniformity implantation on spherical surface. Aero-bearing with ion implantation has been applied in the aero-engine field widely. It not only smoothly succeeded in the engine test on a test bed and gas turbine test on the ground but also all of aero-bearing delivered to China Air force being has a remarkable improvement in the work up to now.
This paper presents a method to realize the mixing knowledge model based on the factor neural network on the history matching of reservoir simulation. It reflects a use of main technique solving complex problem with multi artificial intelligence methods. Some functions of the system and the working environment of CLIENT/SERVER distribution are given. The complexibility of the problem are analyzed. Some tactics are put forward to solve the problems about theses knowledge representations and the mixing inference models (tree, analytic and simulation inference model), some inference mechanisms and knowledge structures are described.
The influence of both Dysktra- Parkson coefficient and formation rhythm on alkaline / surfactant / polymer (ASP) system has been investigated at length through the combination of numerical simulation with core flooding in the light of Da Qing specific reservoir conditions. The results showed that as long as the Dysktra-Parkson coefficient is less than 0.85, the recovery can go up by increasing the viscosity of ASP system to improve the oil-water mobility and swept volume. However, regarding serious heterogeneous formation, high viscous ASP system is required to control the oil-water mobility, which willconsume a great deal of polymer, therefore the cost would go up greatly. Furthermore, due to gravity segregation, the ASP swept recovery is better than that of waterflooding within regular rhythm formation, while within negative rhythm formation,the ASP swept recovery is worse than that of waterflooding. In a word, Dysktra-Parkson coefficient and formation rhythm are two important factors which affect the application of ASP technology and we should pay much attention to them in oilfield test practice.
In order to study the thermal dynamic problems of rough surface in the sliding friction process，we established a sliding contact model based on G – W（Greenwood –Williamson）model. In the model，the two sliding surfaces were simplified to an ideal smooth plane and another with spherical asperities. The coupled thermo-mechanical analysis for the sliding friction process and temperature and stress distribution of the rough body were discussed in the paper. The temperature rise，the equivalent stress and contact stress were analyzed under different relative sliding velocities，initial pressure intakes and friction coefficients. The results show that the changing process of the highest temperature of the rough body with the movement time can be divided into sharp and slow growth stage. The higher the relative sliding velocity，the greater the displacement under the highest temperature in the first stage is. The durations of the first temperature changing stage are nearly 0.05 ms under different initial pressure intakes. The maximum equivalent stress and contact stress of rough body increase with the increase of the initial pressure intake and friction coefficient.
The analysis of plate evolution，stratigraphy development，factors of source，reservoir and seal of passive continental margin basins in Bengal Gulf West reveals that the basins have experienced three rift development phases，i.e. pre-rift，syn-rift and post-rift phases，and they developed into passive continual margin basins in the late post-rift phase with the India Plate drifting to north. According to plate evolution and stratigraphy sequence features，the basins could be subdivided into prerift， syn-rift and post-rift mega-sequences，seven third-level sequences and six reservoir accumulation associations. Current exploration activities are mainly concentrated on Tertiary sequences of onshore and shallow offshore area. Studies on evolution and geological features of passive continental margin basins in Bengal Gulf West result in conclusions that further petroleum exploration prospects should be Perm-Tri channel sandstone of Pre-rift sequence，Cretaceous delta and fluvial sandstone of Syn-rift sequence，sub-water channel sandstone of passive continental margin Tertiary and deep water turbidity sandstone of post-rift sequence.
To better understand the effect of the non-Darcy flow moving boundary，the effect of non-Darcy flow near wellbore caused by high velocity on productivity prediction was studied. Based on seepage theory and inertial theory，the non-Darcy moving boundary equation and a new deliverability equation are derivated. Then we proposed the concepts of critical permeability， critical productivity and critical pressure，and the non-Darcy boundary skin factor. Only when permeability，gas rate and pressure are all larger than critical value，non-Darcy flow appears. And a non-Darcy moving boundary skin factor is a function of permeability，porosity，critical Reynolds number and β expressions，which reflects the effect of the petrophysical properties. And the larger the skin is，the narrower the moving boundary is and the greater its effect. Finally，a comparison with conventional deliverability equation revealed that，if the permeability range is 1∼10 mD，significant differences exist in these IPR curves. This paper proposed the effect of non-Darcy flow moving boundary on production prediction，which improve the accuracy of the productivity prediction.
The lower Paleozoic clastic play is the most important gas play in Oman Basin，the sandstone reservoirs of Cambrian- Silurian Haima Group and its overlying thick mudstone being the basic reservoir-caprock combination，Huqf Group is the most important source rock. This paper analyzes the petroleum geological conditions，hydrocarbon accumulation models，exploration potential and risks. In the center of Ghaba sub Basin，Huqf source rock only generates gas today. The pores of early traps were mostly filled with the pyrobitumens formed by high formation temperatures. Attention should be paid to the traps formed after Cretaceous in exploration. The central palo-uplift of Ghaba Basin was a barrier for lateral migration，so the traps in east flank have risk of hydrocarbon charge. In the center of south Oman Sub Basin，it′s difficult for hydrocarbon to migrate vertically through the thick Ara salt to the upper Haima Group，so most of the traps lack potential. In the east flank of south Oman Basin， for the continued dissolution of Ara salt，which destroyed the seal of former oil pools，the oil released from them could recharge new traps of Haima Group，so there are chances for oil exploration.
