Abstract: A method of predicting subsurface properties of a geologic formation includes acquiring seismic data for a subsurface region including the geologic formation of interest, computing seismic attributes of the measured seismic data over at least part of this geologic formation, determining internally consistent rock properties representative of the geologic formation, generating models of the same part of the geologic formation with these rock properties, computing synthetic seismic data from the models, computing the same attributes from these synthetic seismic data, and using Bayesian analysis to predict, from the probability of modeled attributes given the models, the probability of the actual subsurface properties given the measured attributes.

Abstract: A method of predicting subsurface properties of a geologic formation includes acquiring seismic data for a subsurface region including the geologic formation of interest, computing seismic attributes of the measured seismic data over at least part of this geologic formation, determining internally consistent rock properties representative of the geologic formation, generating models of the same part of the geologic formation with these rock properties, computing synthetic seismic data from the models, computing the same attributes from these synthetic seismic data, and using Bayesian analysis to predict, from the probability of modeled attributes given the models, the probability of the actual subsurface properties given the measured attributes.

Abstract: The apparatus of the present invention includes a group of at least three seismic detectors. Each seismic detector detects vibrations and provides a seismic signal in accordance with the sensed vibration. A multiplexer multiplexes the seismic signals to provide a multiplexed signal. The multiplexed signal is amplified and converted to digital signals. A memory stores the digital signals according to the detector of origin so that the stored digital signals for a detector are in effect a sample of the seismic signals from the detector. A microprocessor connected to the memory means derives a statistical reference from the stored samples. Samples that are outlying with respect to the statistical reference are discarded. The remaining samples are then combined in a predetermined manner to provide an enhanced seismic signal from the group of detectors.