Abstract: A method of predicting pore pressure based on seismic data can include obtaining seismic inversion data based in part on seismic data collected from a formation. The method also includes calculating a pore-pressure transform, wherein the pore-pressure transform comprises parameters derived using measured pore pressure data, upscaled sonic logs, and density logs, wherein the pore-pressure transform comprises an objective function to reduce unphysical variations in predicted pore pressure corresponding to depth. Additionally, the method can include adjusting the pore-pressure transform for sampling bias caused by pore pressure measurements being restricted to a plurality of lithologies by accounting for a difference between upscaled seismic velocities and average sonic velocities within each of the lithologies.

Abstract: A method of predicting pore pressure based on seismic data can include obtaining seismic inversion data based in part on seismic data collected from a formation. The method also includes calculating a pore-pressure transform, wherein the pore-pressure transform comprises parameters derived using measured pore pressure data, upscaled sonic logs, and density logs, wherein the pore-pressure transform comprises an objective function to reduce unphysical variations in predicted pore pressure corresponding to depth. Additionally, the method can include adjusting the pore-pressure transform for sampling bias caused by pore pressure measurements being restricted to a plurality of lithologies by accounting for a difference between upscaled seismic velocities and average sonic velocities within each of the lithologies.

Abstract: Systems capable of seismically investigating the earth can include seismic sources and a disposable seismic sensor such as a fiber optic seismic sensor included within a drill string. The fiber optic seismic sensor can include a plurality of fiber Bragg gratings. Related methods can include using the seismic sources and the fiber optic seismic sensor to conduct seismic investigations.

Abstract: In general, the invention relates to a method for pore pressure prediction. The method includes obtaining a compressional wave (P-wave) velocity and a shear wave (S-wave) velocity for a pre-drill location, calculating an effective stress at the pre-drilling location using a stress-velocity relationship equation, the compressional wave (P-wave) velocity and the shear wave (S-wave) velocity, obtaining a total stress at the pre-drill location, calculating a predicted pore pressure, at the pre-drill location, using the effective stress, the total stress and a stress-pressure relationship equation, and adjusting a drilling operation associated with the pre-drill location, based on the predicted pore pressure.

Abstract: Methods and apparatus that use microseismic event data, stress data, seismic data, and rock properties to predict the hydrocarbon production success of a well location are disclosed. An example method generates a hydrocarbon production function based on information associated with at least a first well location, obtains information associated with a second well location, and calculates the hydrocarbon production function using the information associated with the second well location to predict the hydrocarbon production of the second well location.

Abstract: A method for pore pressure prediction. The method includes obtaining a stress sensitivity coefficient, obtaining a compressional wave (P-wave) velocity and a shear wave (S-wave) velocity for a pre-drill location and obtaining a first predicted pore pressure. Further, the method includes iteratively performing calculating a total stress value associated with the pre-drill location using the first predicted pore pressure associated with the pre-drill location, and calculating a second predicted pore pressure associated with the pre-drill location using a stress-pressure relationship equation, a stress-velocity relationship equation, the stress sensitivity coefficient, a reference location, and at least one selected from a group consisting of the P-wave velocity and the S-wave velocity for the pre-drill location, and adjusting a drilling operation associated with the pre-drill location, based on the second predicted pore pressure.

Abstract: A method of characterizing a fractured reservoir in a field includes measuring seismic reflection coefficient of the fractured reservoir as a function of angle of incidence and azimuth, predicting seismic reflection coefficient of the fractured reservoir as a function of angle of incidence and azimuth using an elastic stiffness tensor and an elastic compliance tensor of the fractured reservoir, determining components of an excess compliance tensor due to the presence of fractures in the fractured reservoir by matching the predicted seismic reflection coefficient to the measured seismic reflection coefficient, and characterizing one or more properties of the fractured reservoir using the excess compliance tensor.