| 2 | Vertical aerosol data assimilation technology and application based on satellite and ground lidar:A review and outlook显示文摘Observations and numerical models are mainly used to investigate the spatiotemporal distribution and vertical structure characteristics of aerosols to understand aerosol pollution and its effects.However,the limitations of observations and the uncertainties of numerical models bias aerosol calculations and predictions.Data assimilation combines observations and numerical models to improve the accuracy of the initial,analytical fields of models and promote the development of atmospheric aerosol pollution research.Numerous studies have been conducted to integrate multi-source data,such as aerosol optical depth and aerosol extinction coefficient profile,into various chemical transport models using various data assimilation algorithms and have achieved good assimilation results.The definition of data assimilation and the main algorithms will be briefly presented,and the progress of aerosol assimilation according to two types of aerosol data,namely,aerosol optical depth and extinction coefficient,will be presented.The application of vertical aerosol data assimilation,as well as the future trends and challenges of aerosol data assimilation,will be further analysed. | Ting Yang Hongyi Li Haibo Wang Youwen Sun Xi Chen Futing Wang Lei Xu Zifa Wang | 2023 | Journal of Environmental Sciences2023，，1： | 1 |
| 3 | Fracture characterization of Asmari Formation carbonate reservoirs in G Oilfield, Zagros Basin, Middle East显示文摘The Asmari Formation in the G oilfield on the Iran-Iraq border is a fractured-porous multi-lithology mixed reservoir, for which fracture is an important factor affecting oil productivity and water cut. The characterization and modeling of fractures in the carbonate reservoir of G oilfield are challenging due to weak conventional well log responses of fractures and a lack of specific logs, such as image logs. This study proposes an integrated approach for characterizing and modeling fractures in the carbonate reservoir. The features, formation mechanism, influencing factors, and prediction methods of fractures in the Asmari Formation carbonate reservoirs of G oilfield were studied using core observation, thin section, image log, cross-dipole acoustic log (CDAL), geomechanics numerical simulation (GNS), and production data. According to CDAL-based fracture density interpretation, GNS-based fracture intensity prediction between wells, and DFN-based rock fracture properties modeling, the quantitative fracture characterization for G oilfield was realized. This research shows that the fractures in the Asamri Formation are mainly medium-to high-angle shear fractures. The substantial compression stress during the Miocene played a major role in the formation of the prominent fractures and determined their trend in the region, with primary trends of NNW-SSE and NNE-SSW. The fracture distribution has regularity, and the fractures in zone A dolomites are more highly developed than that in zone B limestones vertically. Horizontally, fractures intensity is mainly controlled by faults and structural location. The results of this study may benefit the optimization of well design during field development. From 2019 to 2021, three horizontal wells pilot tests were deployed in the fractures belt in zone A, and these fractures prominently increased the permeability of tight dolomite reservoirs. The initial production of the wells is four to five times the average production of other wells in the area, showing a good development effect. Meanwhile, the updated numerical simulation validates that the history match accuracy of water cut based on the dual-porosity model is significantly improved, proving the fracture evaluation and prediction results to be relatively reliable and applicable. | Kaijun Tong Juan He Shaoqun Dong Futing Sun Peiyuan Chen Yi Tong | 2023 | Energy Geoscience2023，4，3： | 0 |
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