Well che89, located in the Chepaizi area in the northwest margin of Junggar basin, acquires high production industrial oil flow, which is an important breakthrough in the exploration of the south foreland slope area of Junggar basin. The Chepaizi area is near two hydrocarbon generation depressions of Sikeshu and Shawan, which have sets of hydrocarbon source rock of Carboniferous to Jurassic as well as Upper Tertiary. Geological and geochemical parameters are proper for the accumulation of mixed source crude oil. Carbon isotope, group composition and biomarkers of crude oil in Upper Tertiary of well Che89 show that the features of crude oil in Upper Tertiary Shawan Formation are between that of Permian and Jurassic, some of them are similar to these two, and some are of difference, they should be the mixed source of Permian and Jurassic. Geochemical analysis and geological study show that sand extract of Lower Tertiary Wulunguhe Formation has the same source as the crude oil and sand extract of Upper Tertiary Shawan Formation, but they are not charged in the same period. Oil/gas of Wulunguhe Formation is charged before Upper Tertiary sedimentation, and suffered serious biodegradation and oxidation and rinsing, which provide a proof in another aspect that the crude oil of Upper Tertiary Shawan Formation of well Che89 is not from hydrocarbon source rock of Lower Tertiary.
Summary With the ARPS (Advanced Regional Prediction System) Data Analysis System (ADAS) and its complex cloud analysis scheme, the
reflectivity data from a Chinese CINRAD-SA Doppler radar are used to analyze 3D cloud and hydrometeor fields and in-cloud
temperature and moisture. Forecast experiments starting from such initial conditions are performed for a northern China heavy
rainfall event to examine the impact of the reflectivity data and other conventional observations on short-range precipitation
forecast.
The full 3D cloud analysis mitigates the commonly known spin-up problem with precipitation forecast, resulting a significant
improvement in precipitation forecast in the first 4 to 5 hours. In such a case, the position, timing and amount of precipitation
are all accurately predicted. When the cloud analysis is used without in-cloud temperature adjustment, only the forecast of
light precipitation within the first hour is improved.
Additional analysis of surface and upper-air observations on the native ARPS grid, using the 1 degree real-time NCEP AVN analysis
as the background, helps improve the location and intensity of rainfall forecasting slightly. Hourly accumulated rainfall
estimated from radar reflectivity data is found to be less accurate than the model predicted precipitation when full cloud
analysis is used. 相似文献