Abstract: A method is described for inverting seismic data including obtaining well logs representative of subsurface volumes of interest; generating an amplitude variation with angle (AVA) database from the well logs by seismic modeling, wherein the seismic modeling is performed a plurality of times for all combinations of fluid substitutions of brine, oil, and gas and low porosity, mid-porosity, and high porosity; generating a trained AVA model using the AVA database; obtaining a seismic dataset; calibrating the seismic dataset; computing seismic attributes for the calibrated seismic dataset using statistics for AVA classification; and generating direct hydrocarbon indicators as a function of position in the subsurface volume of interest by applying the trained AVA model to the seismic attributes. The method is executed by a computer system.

Abstract: Well data (e.g., well log) may be divided into multiple segments, and different samplings of data in the individual segments may be performed to increase the amount of data that is used to train a seismic inversion model. Synthetic well data may be generated from real well data to increase the amount of well data from which sampling is performed.

Abstract: A method includes identifying a first event that has been at least partly performed, wherein the first event comprises an element of a sequence of events, and the first event comprises performance of a first computing function, predicting a second event expected to occur next in the sequence after completion of the first event, and the second event comprises performance of a second computing function, predicting a start time of the second event, based on information about the second event, identifying a particular container capable of implementing the second computing function associated with the second event, predicting a start time for start-up of the container, starting up the container, and completing start-up of the container prior to receipt of a request for the second computing function to be performed by the container, wherein the container is ready to perform the second computing function immediately after start-up has been completed.

Abstract: A method is described for seismic amplitude analysis including receiving a seismic dataset representative of a subsurface volume of interest wherein the seismic dataset includes an angle or angle stack dimension; select a plurality of sets of sub-cubes in the seismic dataset wherein each set of sub-cubes includes a plurality of the angles or the angle stacks; compute standard score statistics for each of the plurality of sub-cubes; identify amplitude variation with angle (AVA) anomalies based on the standard score statistics for each of the set of sub-cubes; classify the AVA anomalies to generate classified AVA anomalies; and displaying, on a user interface, the classified AVA anomalies as a graphical display. The method is executed by a computer system.

Abstract: In one embodiment, an apparatus (12) is presented that detects wireless signals from external devices (18) that uniquely identify each of the external devices, records, in memory (30), information about the external devices without access to an external database, and compares information from the external devices to determine a relative location of the wearable device without using additional, power-hungry position location functionality if there is a threshold match in the compared information. In some embodiments, the invention uses the determined relative location to trigger an action at another device. The invention, using self-contained functionality, enables improvements in same location or home location determination accuracy, memory conservation, and power consumption.

Abstract: A method includes identifying a first event that has been at least partly performed, wherein the first event comprises an element of a sequence of events, and the first event comprises performance of a first computing function, predicting a second event expected to occur next in the sequence after completion of the first event, and the second event comprises performance of a second computing function, predicting a start time of the second event, based on information about the second event, identifying a particular container capable of implementing the second computing function associated with the second event, predicting a start time for start-up of the container, starting up the container, and completing start-up of the container prior to receipt of a request for the second computing function to be performed by the container, wherein the container is ready to perform the second computing function immediately after start-up has been completed.

Abstract: A method is described for inverting seismic data including obtaining well logs representative of subsurface volumes of interest; generating an amplitude variation with angle (AVA) database from the well logs by seismic modeling, wherein the seismic modeling is performed a plurality of times for all combinations of fluid substitutions of brine, oil, and gas and low porosity, mid-porosity, and high porosity; generating a trained AVA model using the AVA database; obtaining a seismic dataset; calibrating the seismic dataset; computing seismic attributes for the calibrated seismic dataset using statistics for AVA classification; and generating direct hydrocarbon indicators as a function of position in the subsurface volume of interest by applying the trained AVA model to the seismic attributes. The method is executed by a computer system.

Abstract: A method is described for calibrating seismic data based on statistical properties of shale derived from either well logs in a volume of interest or a global database of statistical properties of shale. The method may be executed by a computer system.

Abstract: Systems and methods for refining estimated effects of parameters on amplitudes are disclosed. Exemplary implementations may: (a) obtain ranges of parameter values for individual parameters within a subsurface region of interest; (b) generate a first model of the subsurface region of interest; (c) calculate a synthetic seismogram from the first model to determine corresponding amplitudes; (d) store results of applying the synthetic seismogram; (e) repeat steps (b)-(d) for multiple additional models; (f) obtain a subsurface distribution; (g) apply the subsurface distribution to the multiple models and the corresponding amplitudes; (h) generate a representation; and (i) display the representation.

Abstract: A method is described for seismic amplitude analysis including receiving a seismic dataset representative of a subsurface volume of interest wherein the seismic dataset includes an angle or angle stack dimension; select a plurality of sets of sub-cubes in the seismic dataset wherein each set of sub-cubes includes a plurality of the angles or the angle stacks; compute standard score statistics for each of the plurality of sub-cubes; identify amplitude variation with angle (AVA) anomalies based on the standard score statistics for each of the set of sub-cubes; classify the AVA anomalies to generate classified AVA anomalies; and displaying, on a user interface, the classified AVA anomalies as a graphical display. The method is executed by a computer system.

Abstract: Systems and methods for refining estimated effects of parameters on amplitudes are disclosed. Exemplary implementations may: (a) obtain ranges of parameter values for individual parameters within a subsurface region of interest; (b) generate a first model of the subsurface region of interest; (c) calculate a synthetic seismogram from the first model to determine corresponding amplitudes; (d) store results of applying the synthetic seismogram; (e) repeat steps (b)-(d) for multiple additional models; (f) obtain a subsurface distribution; (g) apply the subsurface distribution to the multiple models and the corresponding amplitudes; (h) generate a representation; and (i) display the representation.

Abstract: In one embodiment, an apparatus (12) is presented that detects wireless signals from external devices (18) that uniquely identify each of the external devices, records, in memory (30), information about the external devices without access to an external database, and compares information from the external devices to determine a relative location of the wearable device without using additional, power-hungry position location functionality if there is a threshold match in the compared information. In some embodiments, the invention uses the determined relative location to trigger an action at another device. The invention, using self-contained functionality, enables improvements in same location or home location determination accuracy, memory conservation, and power consumption.

Abstract: A method is described for creating a petro-elastic model including receiving, at a computer processor, well log data; computing in situ rock properties; calculating dry frame moduli for a range of porosities based on a rock physics model such as a modified critical porosity model; performing fluid substitutions and computing elastic properties by statistical sampling for the range of porosities; creating a petro-elastic model in a seismic domain; and identifying and producing target hydrocarbon reservoirs based on the petro-elastic model. The method may be executed by a computer system.

Abstract: In one embodiment, an apparatus is presented that detects wireless signals from external devices that uniquely identify each of the external devices, records, in memory, information about the external devices without access to an external database, and compares information from the external devices to determine a relative location of the wearable device without using additional, power-hungry position location functionality if there is a threshold match in the compared information. In some embodiments, the invention uses the determined relative location to trigger an action at another device. The invention, using self-contained functionality, enables improvements in same location or home location determination accuracy, memory conservation, and power consumption.

Abstract: A method is described for porosity mapping of low porosity subsurface reservoirs using seismic data and well logs. The method may compute dry-frame rock properties using fluid substitution modeling based on the well log data; perform porosity expansion of the dry-frame rock properties based on rock physics to generate expanded rock properties; generate synthetic seismic data based on the expanded rock properties; calibrate the seismic dataset with the synthetic seismic data; generate an estimated porosity map based on the calibrated seismic dataset and the synthetic seismic data; and identify geologic features based on the estimated porosity map. The method may be executed by a computer system.

Abstract: In one embodiment, an apparatus is presented that detects wireless signals from external devices that uniquely identify each of the external devices, records, in memory, information about the external devices without access to an external database, and compares information from the external devices to determine a relative location of the wearable device without using additional, power-hungry position location functionality if there is a threshold match in the compared information. In some embodiments, the invention uses the determined relative location to trigger an action at another device. The invention, using self-contained functionality, enables improvements in same location or home location determination accuracy, memory conservation, and power consumption.

Abstract: A method is described for porosity mapping of low porosity subsurface reservoirs using seismic data and well logs. The method may compute dry-frame rock properties using fluid substitution modeling based on the well log data; perform porosity expansion of the dry-frame rock properties based on rock physics to generate expanded rock properties; generate synthetic seismic data based on the expanded rock properties; calibrate the seismic dataset with the synthetic seismic data; generate an estimated porosity map based on the calibrated seismic dataset and the synthetic seismic data; and identify geologic features based on the estimated porosity map. The method may be executed by a computer system.

Abstract: A method is described for creating a petro-elastic model including receiving, at a computer processor, well log data; computing in situ rock properties; calculating dry frame moduli for a range of porosities based on a rock physics model such as a modified critical porosity model; performing fluid substitutions and computing elastic properties by statistical sampling for the range of porosities; creating a petro-elastic model in a seismic domain; and identifying and producing target hydrocarbon reservoirs based on the petro-elastic model. The method may be executed by a computer system.

Abstract: A design structure embodied in a machine readable storage medium for at designing, manufacturing, and/or testing a design is disclosed for initializing expansion adapters installed in a computer system having similar expansion adapters that include detecting an expansion adapter installed in a computer system having a plurality of expansion adapters, the detected expansion adapter having an option ROM containing initialization code, identifying similar expansion adapters installed in the computer system that correspond to the detected expansion adapter, each of the identified similar expansion adapters having an option ROM containing initialization code, disabling the option ROM of each of the identified similar expansion adapters, and initializing the plurality of expansion adapters installed in the computer system without executing the initialization code of the identified similar expansion adapters.

Abstract: Methods, apparatus, and products are disclosed for initializing expansion adapters installed in a computer system having similar expansion adapters that include detecting an expansion adapter installed in a computer system having a plurality of expansion adapters, the detected expansion adapter having an option ROM containing initialization code, identifying similar expansion adapters installed in the computer system that correspond to the detected expansion adapter, each of the identified similar expansion adapters having an option ROM containing initialization code, disabling the option ROM of each of the identified similar expansion adapters, and initializing the plurality of expansion adapters installed in the computer system without executing the initialization code of the identified similar expansion adapters.