Abstract: Pipeline segments can contain cables, such as communication cables (e.g., fiber optic cables) within insulation material surrounding the pipeline segments. Cables can be embedded within the insulation material, run through conduits embedded within the insulation material, placed in channels formed in the insulation material, or otherwise. Channels containing one or more cables can be filled with supplemental insulation material, thus securing the cables within the channels. Pipelines created as disclosed herein can enable data transfer between distant points without the need to lay fiber optic cable in addition to the pipeline. Further, fiber optic cable embedded thusly can be used to sense conditions in the pipeline, such as leaks, seismic activity, strain, and temperature information.

Abstract: Pipeline segments can contain cables, such as communication cables (e.g., fiber optic cables) within insulation material surrounding the pipeline segments. Cables can be embedded within the insulation material, run through conduits embedded within the insulation material, placed in channels formed in the insulation material, or otherwise. Channels containing one or more cables can be filled with supplemental insulation material, thus securing the cables within the channels. Pipelines created as disclosed herein can enable data transfer between distant points without the need to lay fiber optic cable in addition to the pipeline. Further, fiber optic cable embedded thusly can be used to sense conditions in the pipeline, such as leaks, seismic activity, strain, and temperature information.

Abstract: Pipeline segments can contain cables, such as communication cables (e.g., fiber optic cables) within insulation material surrounding the pipeline segments. Cables can be embedded within the insulation material, run through conduits embedded within the insulation material, placed in channels formed in the insulation material, or otherwise. Channels containing one or more cables can be filled with supplemental insulation material, thus securing the cables within the channels. Pipelines created as disclosed herein can enable data transfer between distant points without the need to lay fiber optic cable in addition to the pipeline. Further, fiber optic cable embedded thusly can be used to sense conditions in the pipeline, such as leaks, seismic activity, strain, and temperature information.

Abstract: Pipeline segments can contain cables, such as communication cables (e.g., fiber optic cables) within insulation material surrounding the pipeline segments. Cables can be embedded within the insulation material, run through conduits embedded within the insulation material, placed in channels formed in the insulation material, or otherwise. Channels containing one or more cables can be filled with supplemental insulation material, thus securing the cables within the channels. Pipelines created as disclosed herein can enable data transfer between distant points without the need to lay fiber optic cable in addition to the pipeline. Further, fiber optic cable embedded thusly can be used to sense conditions in the pipeline, such as leaks, seismic activity, strain, and temperature information.

Abstract: Pipeline segments can contain cables, such as communication cables (e.g., fiber optic cables) within insulation material surrounding the pipeline segments. Cables can be embedded within the insulation material, run through conduits embedded within the insulation material, placed in channels formed in the insulation material, or otherwise. Channels containing one or more cables can be filled with supplemental insulation material, thus securing the cables within the channels. Pipelines created as disclosed herein can enable data transfer between distant points without the need to lay fiber optic cable in addition to the pipeline. Further, fiber optic cable embedded thusly can be used to sense conditions in the pipeline, such as leaks, seismic activity, strain, and temperature information.

Abstract: Pipeline segments can contain cables, such as communication cables (e.g., fiber optic cables) within insulation material surrounding the pipeline segments. Cables can be embedded within the insulation material, run through conduits embedded within the insulation material, placed in channels formed in the insulation material, or otherwise. Channels containing one or more cables can be filled with supplemental insulation material, thus securing the cables within the channels. Pipelines created as disclosed herein can enable data transfer between distant points without the need to lay fiber optic cable in addition to the pipeline. Further, fiber optic cable embedded thusly can be used to sense conditions in the pipeline, such as leaks, seismic activity, strain, and temperature information.

Abstract: An example system includes a separator that accepts and separates a multiphase flowback effluent stream into a plurality of secondary streams. A first sensor assembly monitors the multiphase flowback effluent stream and generates a first signal corresponding to at least one characteristic of the multiphase flowback effluent stream. A second sensor assembly monitors one of the plurality of secondary streams and generates a second signal corresponding to at least one characteristic of the one of the plurality of secondary streams. A signal processor receives the first and second signals and determines a mass flow rate of a substance present in both the multiphase flowback effluent stream and the one of the plurality of secondary streams.

Abstract: Disclosed is a portable handheld characteristic analyzer used to analyze chemical compositions in or near real-time. One method of using the analyzer to determine a characteristic of a sample includes directing the handheld characteristic analyzer at the sample, the handheld characteristic analyzer having at least one integrated computational element arranged therein, activating the handheld characteristic analyzer, thereby optically interacting the at least one integrated computational element with the sample and generating optically interacted light, receiving the optically interacted light with at least one detector arranged within the handheld characteristic analyzer, generating an output signal corresponding to the characteristic of the sample with the at least one detector, receiving the output signal with a signal processor communicably coupled to the at least one detector, and determining the characteristic of the sample with the signal processor.

Abstract: Disclosed is a portable handheld characteristic analyzer used to analyze chemical compositions in or near real-time. The analyzer may include a portable housing, at least one optical computing device arranged within the portable housing for monitoring a sample, the at least one optical computing device having at least one integrated computational element configured to optically interact with the sample and thereby generate optically interacted light, at least one detector arranged to receive the optically interacted light and generate an output signal corresponding to a characteristic of the sample, and a signal processor communicably coupled to the at least one detector for receiving the output signal, the signal processor being configured to determine the characteristic of the sample and provide a resulting output signal indicative of the characteristic of the sample.

Abstract: Disclosed are systems and methods for monitoring chemical reaction processes in or near real-time. One method may include containing a fluid within a flow path, the fluid having a chemical reaction occurring therein, optically interacting at least one integrated computational element with the fluid, thereby generating optically interacted light, and producing an output signal based on the optically interacted light that corresponds to a characteristic of the chemical reaction.

Abstract: A sensor assembly includes an optical computing device having an integrated computational element (ICE) configured to optically interact with a fluid stream and detect a first characteristic of a substance within the fluid stream. The optical computing device is configured to generate a first signal corresponding to the first characteristic. The sensor assembly also includes a parameter sensor configured to measure a second characteristic of the fluid stream and generate a second signal corresponding to the second characteristic and a processor communicatively coupled to the optical computing device and the parameter sensor. The processor is configured to receive the first and second signals and determine a mass flow rate of the substance.

Abstract: A sensor assembly includes an optical computing device having an integrated computational element (ICE) configured to optically interact with a fluid stream and detect a first characteristic of a substance within the fluid stream. The optical computing device is configured to generate a first signal corresponding to the first characteristic. The sensor assembly also includes a parameter sensor configured to measure a second characteristic of the fluid stream and generate a second signal corresponding to the second characteristic and a processor communicatively coupled to the optical computing device and the parameter sensor. The processor is configured to receive the first and second signals and determine a mass flow rate of the substance.

Abstract: Disclosed are systems and methods for monitoring chemical reaction processes in or near real-time. One method may include containing a fluid within a flow path, the fluid having a chemical reaction occurring therein, optically interacting at least one integrated computational element with the fluid, thereby generating optically interacted light, and producing an output signal based on the optically interacted light that corresponds to a characteristic of the chemical reaction.

Abstract: Disclosed is a portable handheld characteristic analyzer used to analyze chemical compositions in or near real-time. The analyzer may include a portable housing, at least one optical computing device arranged within the portable housing for monitoring a sample, the at least one optical computing device having at least one integrated computational element configured to optically interact with the sample and thereby generate optically interacted light, at least one detector arranged to receive the optically interacted light and generate an output signal corresponding to a characteristic of the sample, and a signal processor communicably coupled to the at least one detector for receiving the output signal, the signal processor being configured to determine the characteristic of the sample and provide a resulting output signal indicative of the characteristic of the sample.

Abstract: Disclosed is a portable handheld characteristic analyzer used to analyze chemical compositions in or near real-time. One method of using the analyzer to determine a characteristic of a sample includes directing the handheld characteristic analyzer at the sample, the handheld characteristic analyzer having at least one integrated computational element arranged therein, activating the handheld characteristic analyzer, thereby optically interacting the at least one integrated computational element with the sample and generating optically interacted light, receiving the optically interacted light with at least one detector arranged within the handheld characteristic analyzer, generating an output signal corresponding to the characteristic of the sample with the at least one detector, receiving the output signal with a signal processor communicably coupled to the at least one detector, and determining the characteristic of the sample with the signal processor.