The Research Of Reservoir Properties Modeling Methods Based On Seismic Data

Reservoir properties Modeling is one of high and new technique about geological modeling and description of the oil and gas reservoir. Because of the limitation of the original data properties, it will not reflect the geological conditions comprehensively. If we use seismic data restriction and properly algorithms, it will control the modeling between the different wells, low the uncertainty. It is the good to use the seismic data characters to description the reservoir, and will be the direction of the reservoir properties modeling.Based on the logging data (hard data) and seismic data, the paper try to study to use some of the algorithm combine the soft data and hard data. And evaluate the results, comparing with the traditional way of modeling. We make a description of Eastern oil field fault reservoir. We propose the some new conceptions, training image, search tree, inversion seismic data and controlling the quality of the seismic data. Combing the cross-well seismic data and some of new techniques about soft data and hard data, we use SNESIM algorithm to sand simulation. Based on the sand model, we simulation the porosity, permeability and saturation,After we evaluation the models uncertainty, We find that if only use the logging data, because the limitation of the logging data, the zone between the different wells will out of control, uncertainty is very high. But the reservoir property modeling based on seismic data, on the other hand we try to enhance the uncertainty, for example, not all wells add to the simulation, change the random seed and so on, the result will not show big difference, This phenomenon prove the methods that we study in this paper right and will get better result.