Abstract: Predicting gas saturation of a formation using neural networks. At least some of the illustrative embodiments include obtaining a gamma count rate decay curve one each for a plurality of gamma detectors of a nuclear logging tool (the gamma count rate decay curves recorded at a particular borehole depth), applying at least a portion of each gamma count rate decay curve to input nodes of a neural network, predicting a value indicative of gas saturation of a formation (the predicting by the neural network in the absence of a formation porosity value supplied to the neural network), and producing a plot of the value indicative of gas saturation of the formation as a function of borehole depth.

Abstract: Determining a value indicative of fracture quality. At least some of the illustrative embodiments are methods including: obtaining or measuring gas saturation of a formation to create a value indicative of pre-fracture gas saturation; and after a fracturing process measuring gas saturation of the formation to create a value indicative of post-fracture gas saturation; and creating a value indicative of fracture quality based on the value indicative of pre-fracture gas saturation and the value indicative of post-fracture gas saturation.

Abstract: Determining a value indicative of fracture quality. At least some of the illustrative embodiments are methods including: obtaining or measuring gas saturation of a formation to create a value indicative of pre-fracture gas saturation; and after a fracturing process measuring gas saturation of the formation to create a value indicative of post-fracture gas saturation; and creating a value indicative of fracture quality based on the value indicative of pre-fracture gas saturation and the value indicative of post-fracture gas saturation.

Abstract: Determining a value indicative of gas saturation of a formation. At least some of the illustrative embodiments are methods including: obtaining an inelastic count rate and a capture count rate of a gamma detector for a particular borehole depth; removing at least a portion of the chlorine response from the capture count rate, thereby creating a modified capture count rate; calculating a ratio of an inelastic count rate to the modified capture count rate for the particular borehole depth; determining a value indicative of gas saturation based on the ratio; and producing a plot of the value indicative of gas saturation as a function of borehole depth for a formation that the borehole at least partially penetrates.

Abstract: Determining a parameter associated with a formation corrected for neutrons produced. At least some of the illustrative embodiments are methods including: disposing a logging tool within a borehole, the borehole penetrates a formation; producing neutrons by a neutron source within the logging tool; detecting neutrons produced by the neutron source, the detecting by a neutron detector; creating an indication of a number of neutrons produced by the neutron source, the indication based only on neutrons detected that have not interacted with other elements before entering the neutron detector; obtaining a count rate of a gamma detector responsive to the production of neutrons by the neutron source; and determining a parameter associated with the formation based on the count rate and on the indication of the number of neutrons produced.

Abstract: Downhole fluid typing with pulsed neutron logging. A method comprises obtaining at least one capture gamma count rate at a particular borehole depth, calculating a fluid type indicative response value for the borehole depth, and determining at least one fluid type based on the response value. A system comprises a downhole tool, including a neutron source, at least one gamma detector, and a processor coupled to a memory. The memory stores a program that, when executed by the processor, causes the processor to obtain at least one capture gamma count rate for a particular borehole depth. The processor calculates a fluid type indicative response value for the borehole depth and determines at least one fluid type based on the response value.

Abstract: Determining a parameter associated with a formation corrected for neutrons produced. At least some of the illustrative embodiments are methods including: disposing a logging tool within a borehole, the borehole penetrates a formation; producing neutrons by a neutron source within the logging tool; detecting neutrons produced by the neutron source, the detecting by a neutron detector; creating an indication of a number of neutrons produced by the neutron source, the indication based only on neutrons detected that have not interacted with other elements before entering the neutron detector; obtaining a count rate of a gamma detector responsive to the production of neutrons by the neutron source; and determining a parameter associated with the formation based on the count rate and on the indication of the number of neutrons produced.

Abstract: Determining a value indicative of gas saturation of a formation. At least some of the illustrative embodiments are methods including obtaining an inelastic count rate and a capture count rate of a gamma detector for a particular borehole depth, calculating a ratio of an inelastic count rate to a capture count rate for the particular borehole depth, determining a value indicative of gas saturation based on the ratio of the inelastic count rate to the capture count rate for the particular borehole depth, repeating the obtaining, calculating and determining for a plurality of borehole depths, and producing a plot of the value indicative of gas saturation of the formation as a function of borehole depth.

Abstract: Predicting gas saturation of a formation using neural networks. At least some of the illustrative embodiments include obtaining a gamma count rate decay curve one each for a plurality of gamma detectors of a nuclear logging tool (the gamma count rate decay curves recorded at a particular borehole depth), applying at least a portion of each gamma count rate decay curve to input nodes of a neural network, predicting a value indicative of gas saturation of a formation (the predicting by the neural network in the absence of a formation porosity value supplied to the neural network), and producing a plot of the value indicative of gas saturation of the formation as a function of borehole depth.

Abstract: Downhole fluid typing with pulsed neutron logging. A method comprises obtaining gamma count rates at a particular borehole depth; calculating a fluid type indicative response value for the borehole depth; determining at least one fluid type based on the response value for the particular borehole depth; and producing a display of the at least one fluid type corresponding to the borehole depth. A system comprises a downhole tool comprising a neutron source and at least one gamma detector; gamma count rates produced due to gamma arrivals at the gamma detector(s); and a processor coupled to a memory, wherein the memory stores a program that, when executed by the processor, causes the processor to: calculate a fluid type indicative response value for a particular borehole depth based on the gamma count rates; and determine at least one fluid type based on the response value for the particular borehole depth.

Abstract: Determining a value indicative of gas saturation of a formation. At least some of the illustrative embodiments are methods including obtaining an inelastic count rate and a capture count rate of a gamma detector for a particular borehole depth, calculating a ratio of an inelastic count rate to a capture count rate for the particular borehole depth, determining a value indicative of gas saturation based on the ratio of the inelastic count rate to the capture count rate for the particular borehole depth, repeating the obtaining, calculating and determining for a plurality of borehole depths, and producing a plot of the value indicative of gas saturation of the formation as a function of borehole depth.

Abstract: Various systems and methods are disclosed for a roaming saved game function allowing for location independent access to saved game data. In various embodiments, users may upload saved games when they sign in to an online gaming service, and download them later from another console, PC or other device so that they can continue a saved game wherever they have access to the online gaming service. In one embodiment, users may manage saved game files after signing in to the online gaming service. In other embodiments, the roaming saved game function may provide users with ease of managing their saved games. For example, users may be able to compare two saved games by comparing their level, checkpoint number and screenshot listing. The user may then select one of the saved game files to play and upload.