Abstract:The inversion of geostatistics combines superiorities of reservoir prediction of seismic inversion with random model build,and fully uses random model-building technique to integrate the data with different scale (for example, simulation procedure can integrates structural with stratigraphic information).Starting from well point, the inversion is faithful to logging data at well point and conforms to seismic data in cross-hole area.The synthetic seismograph is yielded by deconvolution of wavelet with reflection coefficients sorted from seismic traces.Using the residues of synthetic seismograph with raw seismic traces to modify the reflection coefficients and obtain new reflection coefficients sequence, the reflection coefficients sequence optimally approaching the seismic traces is obtained after repeated iteration.The relative wave impedance data volume can be computed by reflection coefficients sequence.The random simulation method holds the noises in seismic data and considers the correlation of data within a certain space, broadening the band of seismic data and making the random-simulated results conform to seismic data and final inverted results can conform to well data, seismic data and the feature of geostatistics of known information simultaneously.The multiple fulfillments of results can be used for uncertainty appreciation and more preciously describe the change in reservoir.