Methods, devices and computer-readable media for predicting hydrocarbon production rates for a subterranean formation are described. A method includes: receiving or generating, by at least one processor, well logs from data collected from at least one well in the subterranean formation; generating from the well logs a predicted production rate log for the at least one well; receiving, by the at least one processor, a field dataset for the subterranean formation, the field dataset including field data at locations in 3-dimensions of a volume of the subterranean formation; identifying the predicted production rate log for the at least one well as one or more targets, determining a transform relating the field data and the predicted rate log for the at least one well; and using the transform, generating a predicted production rate for each location of the volume of the subterranean formation.

Sonic data, ultrasonic data, and density data of the annulus are obtained using a sonic tool, an ultrasonic tool, and a density tool, respectively, included in a tool string. A first deconvolution operation is performed to obtain an amplitude, a frequency, and a phase of the modified sonic wave. A first inverse modeling operation results in a first density value of the annular media. A second deconvolution operation is performed to obtain an amplitude, a frequency, and a phase of the modified ultrasonic wave. A second inverse modeling operation results in a second density value of the annular media. A third deconvolution operation is performed to obtain far counts, near counts, and an energy spectrum of gamma rays. A third inverse modeling operation results in a third density value of the annular media.

A system is for processing seismic data for a geologic formation generated by an array of acoustic transducers responsive to an acoustic source. The system may include a seismic data storage device, and a processor cooperating with the seismic data storage device to generate correlations of data from the array of acoustic transducers based upon a current estimate for at least one of density and velocity of the geologic formation, and perform a linear optimization based upon a plurality of different combinations of the correlations to determine a given subset of correlations having a highest objective function associated therewith. The processor may also update the current estimate for at least one of density and velocity of the geologic formation based upon the given subset of correlations.

A system for processing seismic data for a geologic formation generated by an array of acoustic transducers responsive to an acoustic source may include a seismic data storage device and a processor. The processor may cooperate with the seismic data storage device to use a volatility measurement model to generate current correlations of data from the array of acoustic transducers based upon a current estimate for at least one of density and velocity of the geologic formation, and compare the current correlations to a threshold. When the current correlations are below the threshold, the processor may update the current estimate for at least one of density and velocity of the geologic formation, and repeat use of the volatility measurement model to generate updated correlations of data from the array of acoustic transducers based upon the updated estimate for at least one of density and velocity of the geologic formation.

A method of performing a fracture operation at a wellsite is provided. The wellsite has a fracture network therein with natural fractures. The method involves stimulating the wellsite by injecting an injection fluid with proppant into the fracture network, obtaining wellsite data comprising natural fracture parameters of the natural fractures and obtaining a mechanical earth model of the subterranean formation, defining the natural fractures based on the wellsite data by generating one or more realizations of the natural fracture data based on a statistical distribution of natural fracture parameters, meters, generating a statistical distribution of predicted fluid production by generating a hydraulic fracture growth pattern for the fracture network over time based on each defined realization and predicting fluid production from the formation based on the defined realizations, selecting a reference production from the generated statistical distribution, and optimizing production and uncertainty by adjusting the stimulating operations based on the selecting.

Computing device, computer instructions and method for calculating a characteristic of the earth based on recorded seismic data related to a subsurface. The method includes receiving well log data; calculating a statistical model based on the well log data; calculating a reflectivity R of the subsurface based on an intercept A and a gradient B of the statistical model; calculating a reconstructed gather D based on the reflectivity R and a wavelet model W; calculating parameters w.sub.n of the wavelet model W with a first inversion function C that depends on (i) the reconstructed gather D, (ii) a recorded gather D.sub.0, and (iii) a probability density function (pdf) associated with the statistical model; and calculating the characteristic of the earth for the subsurface, based on the parameters w.sub.n of the wavelet model W and the recorded gather D.sub.0.

A method to offer insight on reservoir compartmentalization through the automation of single- and multi-well formation pressure analysis. The method specifically accounts for the measurement uncertainty and any prior information about the reservoir to draw evidence on at least one of a fluid type, a locating feature of the at least one fluid body, vertical compartmentalization, and lateral compartmentalization.

Systems, methods, and computer programs for monitoring production of fluids from a subterranean formation includes receiving, from a first sensor array at a first time, a first set of electromagnetic signals generated by an electroseismic or seismoelectric conversion of seismic signals caused, at least in part, by the production of fluid from the subterranean formation; receiving, from the first sensor array at a second time, a second set of electromagnetic signals generated by an electroseismic or seismoelectric conversion of seismic signals caused, at least in part, by the production of fluid from the subterranean formation; and determining one or more reservoir properties based, at least in part, on the first and second sets signals received from the first sensor array. The first sensor array are arranged to monitor the production operation

In some embodiments, an apparatus and a system, as well as a method and an article, may operate to determine a compressional velocity (CV) of a geological formation, to determine a reflection coefficient (RC) associated with the geological formation, and to determine a density of the geological formation based on the CV and the RC. The CV and RC may be determined from values associated with sonic and ultrasonic velocity measurements. Additional apparatus, systems, and methods are described.

An illustrative method that includes positioning an acoustic transducer downhole substantially parallel to a borehole wall, thereby creating a fluid layer between the wall and the acoustic transducer, and measuring an acoustic impedance at the surface of the acoustic transducer at a resonance frequency of the fluid layer, thereby determining an acoustic impedance of the formation.