Abstract: A multi-point geostatistical prestack inversion method based on a renewal probability ratio constant theory, comprising the following steps: sorting information, work area gridding and distributing well data, assigning an initial attribute value to a simulation work area, selecting a data template with an appropriate size, inversion and judging iteration termination; the method overcomes the defects that in the prior art, oil and gas exploration and development are more and more difficult, exploration degree is higher and higher, new oil and gas reservoirs are more and more difficult to find, reservoir parameters are inaccurate, and exploration uncertainty is increased, and the method has the advantages that prior information is obtained through a multi-point geostatistics method and then screening is carried out through a minimum objective function such that the complexity of seismic inversion is reduced.

Abstract: A multi-point geostatistical prestack inversion method based on a renewal probability ratio constant theory, comprising the following steps: sorting information, work area gridding and distributing well data, assigning an initial attribute value to a simulation work area, selecting a data template with an appropriate size, inversion and judging iteration termination; the method overcomes the defects that in the prior art, oil and gas exploration and development are more and more difficult, exploration degree is higher and higher, new oil and gas reservoirs are more and more difficult to find, reservoir parameters are inaccurate, and exploration uncertainty is increased, and the method has the advantages that prior information is obtained through a multi-point geostatistics method and then screening is carried out through a minimum objective function such that the complexity of seismic inversion is reduced.