STUDY On Reservoir Prediction In The Southeast Magin Of Sichuan Basinthe Reservoir Integrated Prediction

In recent years, the methodology of reservoir prediction by making use of seismic data has taken on the shape gradually and also has been put into industrial production, with the improvement of seismic exploration data acquisition methods and equipment, and enhancement of data-processing technology as well as the explanation methodology. Up to present, reservoir prediction technology has been extensively used in some large oil fields both at home and abroad. Being perfected and developing toward the direction of diversification and comprehensiveness, the prediction methodology has made remarkable application result, and has become an important means of improving the drilling success rate and the exploration benefits. Reservoir prediction technology is an technology to reveal the geometry (including the reservoir thickness, the reservoir top and bottom formation, the extending direction, the extending scope, the pinch-out position, etc.) of the target layer (reservoir, oil and gas layer, etc.) and the distribution characteristics of the micro gathering performance parameters of the reservoir (including porosity, permeability, hydrocarbon saturation, clay and sand content, etc.) by comprehensively making use of seismic, logging, geological and other information. It's a process of matching, converting and combining large-area and continuously distributed seismic date with high-resolution logging date of the wells. The geological knowledge and guiding ideology is applied in the whole process. Reservoir prediction technology is a comprehensive application technology.Jialing River Group has many drilling wells with high quality seismic data around the Chishui area in the southeast of Sichuan Province, so the reservoir prediction work can be carried out in an in-depth way. However, the targeted reservoir evaluation and predication technology is not yet mature and unified geological recognition has not reached because of restriction by reservoir complexities and technical means, so a set of targeted and effective technical method of reservoir prediction, identification and evaluation has not really taken shape. For these characteristics mentioned above, this reservoir predication will use a variety of methods and techniques.In this paper, we make use of seismic data to carry out reservoir predication and put forward 5 reservoir predication methods. Firstly, attribution parameters prediction method. As an important technical means of reservoir description, the seismic attribution explanation technology can well reflect the development situation of reservoir. Secondly, crack prediction method. Crack detection is carried out by making use of the coherent body method and differential body method, and research shows that we can get effective results of crack detections and accurate prediction information about development of the reservoir with the two methods. Thirdly, absorption coefficient prediction method. As absorption coefficient is sensitive to gas lithology, it can be used for anisotropy researches and oil and gas prediction in reservoir and it can also be used for reservoir prediction and anisotropy research. Fourthly, wavelet related prediction method. In the well side seismic records, we can extract the dominance phase corresponding seismic wavelet. Research shows that changes in sedimentary facies are somewhat correlated with wavelet. Therefore, when we use this dominance phase corresponding wavelet to carry out analysis in the full section, we can predict the dominance phase and thereby predict the reservoir distribution. Fifth, wave shape-related prediction method. We use the seismic wave shape of dominant sedimentary facies and section seismic wave shape to carry out correlation analysis method. As the changes in the sedimentary facies can cause changes in wave shape characteristics, when the sedimentary facies is somewhat correlated with stratum parameters such as speed, the wave shape is well corresponded with microfacies. Hence, the application wave shape can approximately predict the sedimentary facies and thus predict favorable reservoir distribution. In this paper, we integrate the advantages of various methods and take the best scheme to carry out the treatment and explanation in the whole region.