Abstract: Methods and systems for characterizing a wellbore depth interval from rock fragments, including a method that includes converting measurements of a bulk rock fragment sample and of individual rock fragment samples to a concentration percent, computing a normalization deviation for each of the individual rock fragment samples relative to the bulk rock fragment sample (said normalization deviation being derived from the concentration percent of the bulk and individual rock fragment samples) and ranking the individual rock fragment samples based on a corresponding normalization deviation. The method further includes selecting one or more individual rock fragment samples based on a corresponding ranking, characterizing the properties of the wellbore depth interval from which the bulk and individual rock fragment samples originated using measured properties of at least some of the selected individual rock fragment samples and presenting to a user the characterized wellbore depth interval.

Abstract: A method for determining porosity associated with organic matter (PAOM) in a well or formation is provided. A system for performing the method is also provided.

Abstract: A method for analyzing fluid characteristics of a geological sample with laser-induced breakdown spectral measurements performed on the geological sample, spectral pre-processing performed as necessary, and subsequent analysis is applied to the collected data to determine at least one fluid parameter of the sample. The method can provide a more rapid and reliable method to estimate fluid properties of a geological sample. A system for performing the method also is provided.

Abstract: A method includes receiving images of a rock sample. The method also includes modifying a set of voxels related to one or more of the received images by applying a digital pore growing operation that changes non-pore voxels surrounding a pore space to pore voxels, wherein the digital pore growing operation is based at least in part on a predetermined dead oil estimate. The method also includes estimating a property of the rock sample based at least in part on the modified set of voxels.

Abstract: Examples relate to human-readable cloud structures. Some examples disclosed herein may enable identifying cloud definition data describing a cloud to be deployed. The cloud definition data comprises a set of structural attributes that define a structure of the cloud and a set of non-structural attributes. Some examples may enable generating a first human-readable artifact that describes the structure of the cloud in natural language using the set of structural attributes of the cloud definition data, modifying a portion of the cloud definition data, generating a second human-readable artifact describing the structure of the cloud in natural language using the set of structural attributes of the cloud definition data that includes the modified portion, and determining whether the structure of the cloud in the second human-readable artifact is different from the structure of the cloud in the first human-readable artifact by comparing the first human-readable artifact with the second human-readable artifact.

Abstract: Examples relate to cloud models based on network definition data. Some examples disclosed herein may enable obtaining first cloud definition data that describes a first cloud infrastructure. The first cloud definition data may comprise network definition data that describes a first server node to be included in the first cloud infrastructure and a first set of network interfaces to be enumerated on a bus of the first server node. Some examples may further enable generating a first cloud model based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, causes the first cloud infrastructure to be deployed. Some examples may further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud configuration data.

Abstract: In some examples, a system identifies a set of services to provide a set of outputs to be displayed on a first set of displays at a first location to an identified user, where the services are provided by computers located remotely over a network from the first location, and establishes a value for a parameter that controls a custom display of a given output of the set of outputs on a respective set of displays to the identified user based, at least in part, on a stored mapping that persistently relates the set of services, the set of outputs, a second set of displays, and the identified user. The system further adjusts the display of the given output of the set of outputs on the first set of displays, the adjusting being based, at least in part, on the value of the parameter.

Abstract: Included are embodiments for assignment and failover of resources. More specifically, at least one embodiment of a method includes assigning, to a user of an access device (202), at least one primary resource (210, 212). Some embodiments include assigning, to the user of the access device (202), at least one backup resource (210, 212).

Abstract: Systems, methods, and other embodiments associated with persisting information concerning per-user, per-connection display configuration control are described. One example method includes identifying services that provide outputs to be displayed to an identified user on displays available to the identified user. Services are provided by remotely located computers. The example method may also include establishing a display control parameter based on a stored mapping that persistently relates services, outputs, displays, and users. The mapping stores information concerning the parameter as configured by the identified user during a previous session. The example method may also include controlling the display of the output on the display based on the parameter.

Abstract: Methods and systems for cuttings-based well logging, including a method that includes converting measurements of cuttings samples from one or more depth intervals of a wellbore to a concentration percent of one or more elements, determining a one or more minerals of the cuttings samples from the concentration percent and building a mineralogy model for the cuttings sample based at least in part on a gravimetric conversion of the concentration percent of at least some of the one or more elements to a concentration percent of the one or more minerals. The method further includes normalizing the concentration percent of the one or more minerals, computing a photo-electric absorption factor (PEF) of the cuttings samples for each of the one or more depth intervals, and presenting to a user a log of the computed PEF as a function of wellbore depth.

Abstract: Examples relate to cloud models based on logical network interface data. Some examples disclosed herein may enable obtaining first cloud definition data that describes a first cloud infrastructure. The first cloud definition data may comprise logical network interface data that describes a first set of network interfaces to be bonded to form a first logical network interface for the first cloud infrastructure. Some examples further enable generating a first cloud model based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, causes the first cloud infrastructure to be deployed. Some examples further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud configuration data.

Abstract: Examples disclosed herein relate to translation of touch input into local input based on a translation profile for an application. Examples include translating touch input into local input based on a translation profile for an application in focus, if the translation profile is accessible. Examples further include providing the touch input to an operating system if no translation profile for the application in focus is accessible and the operating system is able to utilize touch input.

Abstract: A method for determining porosity associated with organic matter (PAOM) in a well or formation is provided. A system for performing the method is also provided.

Abstract: Examples relate to cloud models based on logical network interface data. Some examples disclosed herein may enable obtaining first cloud definition data that describes a first cloud infrastructure. The first cloud definition data may comprise logical network interface data that describes a first set of network interfaces to be bonded to form a first logical network interface for the first cloud infrastructure. Some examples further enable generating a first cloud model based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, causes the first cloud infrastructure to be deployed. Some examples further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud configuration data.

Abstract: Examples relate to cloud models based on network definition data. Some examples disclosed herein may enable obtaining first cloud definition data that describes a first cloud infrastructure. The first cloud definition data may comprise network definition data that describes a first server node to be included in the first cloud infrastructure and a first set of network interfaces to be enumerated on a bus of the first server node. Some examples may further enable generating a first cloud model based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, causes the first cloud infrastructure to be deployed. Some examples may further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud configuration data.

Abstract: Examples relate to cloud models. The examples disclosed herein enable obtaining first cloud definition data that describe a first cloud infrastructure. A first cloud model may be generated based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, cause the first cloud infrastructure to be deployed. The examples further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud definition data and the first cloud configuration data.

Abstract: An example system can comprise a memory to store machine readable instructions. The system can also comprise a processing unit to execute the machine readable instructions. The machine readable instructions can a server can comprise a codec selector to dynamically partition a video stream into a plurality of partitions based on graphical elements of the video stream, such that a given frame of the video stream is divided into the plurality of partitions. The codec selector can also select a plurality of different codecs to compress the plurality of partitions based on the graphical elements of the video stream.

Abstract: A computing device to receive remote graphics based on a size of a display component from a second computing device, display a user interface to include the remote graphics, detect a user repositioning a region of the user interface, transmit information of the repositioned region to the second computing device and receive remote graphics corresponding to the repositioned region for display on the display component.

Abstract: Methods and systems for characterizing a wellbore depth interval from rock fragments, including a method that includes converting measurements of a bulk rock fragment sample and of individual rock fragment samples to a concentration percent, computing a normalization deviation for each of the individual rock fragment samples relative to the bulk rock fragment sample (said normalization deviation being derived from the concentration percent of the bulk and individual rock fragment samples) and ranking the individual rock fragment samples based on a corresponding normalization deviation. The method further includes selecting one or more individual rock fragment samples based on a corresponding ranking, characterizing the properties of the wellbore depth interval from which the bulk and individual rock fragment samples originated using measured properties of at least some of the selected individual rock fragment samples and presenting to a user the characterized wellbore depth interval.

Abstract: A method for analysing fluid characteristics of a geological sample with laser-induced breakdown spectral measurements performed on the geological sample, spectral pre-processing performed as necessary, and subsequent analysis is applied to the collected data to determine at least one fluid parameter of the sample. The method can provide a more rapid and reliable method to estimate fluid properties of a geological sample. A system for performing the method also is provided.