Research Of Sediment Facies And 3D Geological Modeling In Du 84 Dujiatai Reservoir

Du84 of Liaohe oilefield is an important development block. In order to raise recovery ratio and achieve proper development, based on the available information and data, plain distribution of sediment microfacies and parameters should be studied .Dujiatai reservoir of Liaohe oilfield Du84 block is the target of this paper. The relative methods of applied sedimentology, logging geology,reservoir geology and geostatistics has been used. Sublayer dividing method has been studied. Sublayer has been divided. Microfacies dividing method has been studied. Microfacies has been divided. 3D geology model has been set up. Outcomes is as following:1. Sublayer comparison and division. From the top of marker bed, combined with logging trace, it can be divided into 3 oil layer groups, 10 sandstone groups and 25 sublayers.2. According to the key layer of sedimentary facies characteristics in Dujiatai, based on the logging trace, different trace types of the key single sand body in the study area wells has been classified. Through the result, it can be divided into six different types of trace and their corresponding sedimentary microfacies. Based on the research of single well microfacies analysis and sediment plane section, plane distribution of microfacies has been outlined.3. Physical properties distribution of Dujiatai reservoir three oil layer has been studied. The conclusion was that physical properties of DuⅡformation was better than DuⅢformation, DuⅠwas better than DuⅡ. Through the relation between microfacies and physical properties, it can be concluded that physical properties distribution is related with microfacies. The chanel and bar were charactered with better physical properties.4. Based on method of multi- information & random model building, 3D geology model ,such as microfacies model , sand skeleton model, porosity model and permeability model,of Du 84 Dujiatai reservoir can be set up. From these models, reservoir horizontal forecast and optimize can be realized. These models are fit with the former knowledge of geology.