Abstract: A method is described for seismic imaging improved by an estimation of attenuation including receiving a pre-migration seismic dataset D(s, r; t) representative of a subsurface volume of interest wherein s indicates source location, r indicates receiver location, and t is the recorded travel time; calculating a pre-migration attenuated travel time t*(s, r; t); computing a time derivative of the pre-migration attenuated travel time wherein 1/Q(s, r; t)=?t*(s, r; t)/?t; performing a first migration on D(s,r;t) to generate common image point (CIP) gathers G(x, h) wherein x is subsurface image point and h is angle or offset; performing a second migration on D(s, r; t)*1/Q(s, r; t) to generate weighted common image point (CIP) gathers G1/Q(x, h); and calculating a conditioned ratio of the weighted CIP gathers G1/Q(x, h) over the CIP gathers G(x, h) to get CIP gathers of 1/Q(x, h) is disclosed.

Abstract: A method is described for seismic data processing including receiving a seismic dataset D(s, r; t) representative of a subsurface volume of interest; calculating a pre-migration attenuated travel time t*(s, r; t); performing a first migration on D(s, r; t) to generate common image point (CIP) gathers G(x, h); performing a second migration on D(s, r; t)*t*(s, r; t) to generate weighted common image point (CIP) gathers Gt*(x, h); and calculating a conditioned ratio of the weighted CIP gathers Gt*(x, h) over the CIP gathers G(x, h) to get CIP gathers of attenuated traveltime t*(x, h). The CIP gathers of attenuated traveltime t*(x, h) may be used to perform seismic tomography to generate an attenuation (Q) model.

Abstract: A method is described for seismic imaging improved by an estimation of attenuation including receiving a pre-migration seismic dataset D(s, r; t) representative of a subsurface volume of interest wherein s indicates source location, r indicates receiver location, and t is the recorded travel time; calculating a pre-migration attenuated travel time t*(s, r; t); computing a time derivative of the pre-migration attenuated travel time wherein 1/Q(s, r; t)=?t*(s, r; t)/?t; performing a first migration on D(s,r;t) to generate common image point (CIP) gathers G(x, h) wherein x is subsurface image point and h is angle or offset; performing a second migration on D(s, r; t)*1/Q(s, r; t) to generate weighted common image point (CIP) gathers G1/Q(x, h); and calculating a conditioned ratio of the weighted CIP gathers G1/Q(x, h) over the CIP gathers G(x, h) to get CIP gathers of 1/Q(x, h) is disclosed.

Abstract: Systems and methods for estimating reservoir productivity as a function of position in a subsurface volume of interest are disclosed. The systems and methods may: obtain subsurface data and well data corresponding to a subsurface volume of interest; obtain a parameter model; use the subsurface data and the well data to generate multiple production parameter maps; apply the parameter model to the multiple production parameter maps to generate refined production parameter values; generate multiple refined production parameter graphs; display the multiple refined production parameter graphs; generate one or more user input options; receive a defined well design and the one or more user input options selected by a user to generate limited production parameter values; generate a representation of estimated reservoir productivity as a function of position in the subsurface volume of interest using the defined well design and visual effects; and display the representation.

Abstract: Systems, methods, and storage media for detecting a given subsurface event in a subsurface volume of interest are disclosed. Exemplary implementations may: receive a subsurface fiber optic data set; receive a sensor data set using one or more sensors; constrain the subsurface fiber optic data set based on a given parameter value of a given parameter within a certain range to generate a constrained subsurface fiber optic data set; use sets of models to refine the constrained subsurface fiber optic data set to generate a refined subsurface fiber optic data set; estimate an event location of the given subsurface event based on the refined subsurface fiber optic data set; and estimate an origin time based on the event location.