Abstract: The present disclosure describes various methods, computer-readable media, and apparatuses for supporting customer service automation. The support for automation of customer service may be based on analysis of conversations between customers and customer service agents of a customer service center. The support for automation of customer service may be based on analysis of conversations between customers and customer service agents to identify conversation-level topics and utterance-level topics from the customer service conversations. The support for automation of customer service may be based on use of conversation-level topics and utterance-level topics identified from the customer service conversations to control initiation of customer service automation actions for supporting automation of customer service of the customer service center.

Abstract: The present disclosure describes various methods, computer-readable media, and apparatuses for supporting customer service automation. The support for automation of customer service may be based on analysis of conversations between customers and customer service agents of a customer service center. The support for automation of customer service may be based on analysis of conversations between customers and customer service agents to identify conversation-level topics and utterance-level topics from the customer service conversations. The support for automation of customer service may be based on use of conversation-level topics and utterance-level topics identified from the customer service conversations to control initiation of customer service automation actions for supporting automation of customer service of the customer service center.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system loads into cloud storage items of information for potential delivery to a customer, and receives a customer inquiry that includes text, audio, and/or image data. The system generates input for a natural language processing (NLP) model. The input corresponds to the customer inquiry, and the generating comprises converting a format of the customer inquiry to a text format, using a cloud service. The system also analyzes the input using the NLP model, to predict a set of items of information to be included in a customer solution; the items of information are associated with identifying codes. The system also performs searching, using the identifying codes, the cloud storage to retrieve the predicted items of information, resulting in a customer solution for delivery to equipment of the customer. Other embodiments are disclosed.

Abstract: The present disclosure describes various methods, computer-readable media, and apparatuses for supporting automation of customer service. The automation of customer service may be based on support for automation of conversations between customers and customer service agents. The automation of customer service based on support for automation of conversations between customers and customer service agents may be based on use of images provided by the customers to control the conversations between customers and customer service agents. The support for automation of conversations between customers and customer service agents based on use of images provided by the customers may include processing the images to obtain information for the conversations between the customers and the customer service agents and controlling the conversations between the customers and the customer service agents based on the information for the conversations between the customers and the customer service agents.

Abstract: The present disclosure describes various methods, computer-readable media, and apparatuses for supporting automation of customer service. The automation of customer service may be based on support for automation of conversations between customers and customer service agents. The automation of customer service based on support for automation of conversations between customers and customer service agents may be based on use of images provided by the customers to control the conversations between customers and customer service agents. The support for automation of conversations between customers and customer service agents based on use of images provided by the customers may include processing the images to obtain information for the conversations between the customers and the customer service agents and controlling the conversations between the customers and the customer service agents based on the information for the conversations between the customers and the customer service agents.

Abstract: An example method performed by a processing system includes acquiring a set of troubleshooting notes. The set of troubleshooting notes is generated by a human customer support representative in response to a condition that is reported by a customer. The troubleshooting notes are written in natural language. A plurality of predictions for the set of troubleshooting notes is generated. Each prediction of the plurality of predictions indicates a likelihood that a root cause of the condition is a different one of a plurality of predefined root causes, and each prediction of the plurality of predictions is generated using a different binary classifier of a plurality of binary classifiers. At least two of the plurality of predictions are encoded into a single vector which concatenates a plurality of bits, wherein each bit of the plurality of bits represents one prediction of the at least two of the plurality of predictions.

Abstract: The present disclosure describes various methods, computer-readable media, and apparatuses for supporting customer service automation. The support for automation of customer service may be based on analysis of conversations between customers and customer service agents of a customer service center. The support for automation of customer service may be based on analysis of conversations between customers and customer service agents to identify conversation-level topics and utterance-level topics from the customer service conversations. The support for automation of customer service may be based on use of conversation-level topics and utterance-level topics identified from the customer service conversations to control initiation of customer service automation actions for supporting automation of customer service of the customer service center.

Abstract: The present disclosure describes various methods, computer-readable media, and apparatuses for supporting automation of customer service. The automation of customer service may be based on support for automation of conversations between customers and customer service agents. The automation of customer service based on support for automation of conversations between customers and customer service agents may be based on use of images provided by the customers to control the conversations between customers and customer service agents. The support for automation of conversations between customers and customer service agents based on use of images provided by the customers may include processing the images to obtain information for the conversations between the customers and the customer service agents and controlling the conversations between the customers and the customer service agents based on the information for the conversations between the customers and the customer service agents.

Abstract: A method is described for compensating measurement errors of fiber Bragg grating (FBG) sensors installed in fiber cables in down-hole oil and gas environments due to hydrogen darkening. The method involves loading a fiber of known length and multiple FBG sensors in a hydrogen chamber with control of temperature, hydrogen concentration, pressure, and time and adjusting each of the variables through a test matrix while continuously measuring and recording the fiber transmission loss and FBG spectrum changes, then creating a correlation map of fiber transmission loss vs. Bragg wavelength shift, and using that map for compensating the wavelength shift of downhole installed fiber cables as a function of their hydrogen induced transmission loss through time.

Abstract: Methods are proposed for compensation of distortion in fiber Fabry-Perot interferometric (FFPI) sensors induced by dynamic wavelength dependent attenuation in subsurface wells. The methods involve measurement techniques that correct the reflective spectrum from one or more FFPI sensors utilizing a background low frequency spectrum for normalization.

Abstract: An optical sensor system may include an interrogation system coupled to one or more fiber-optic cables positioned in a wellbore. The interrogation system may interrogate a fiber Fabry-Perot interferometric sensor and one or more fiber Bragg sensors multiplexed in the fiber-optic cables. The optical sensor system may include a processing device to determine whether there is condition that may cause an error in the calculation of the cavity length of the fiber Fabry-Perot interferometric sensor in real-time based on a reference distance between peaks or valleys in the reflected light signal generated by the fiber Fabry-Perot interferometric sensor. The processing device may compare the reference distance to a distance between peaks or valleys detected in the spectrum to identify that an error condition exists and may correct the error prior to calculating the cavity length.

Abstract: A method is described for compensating measurement errors of fiber Bragg grating (FBG) sensors installed in fiber cables in downhole oil and gas environments due to hydrogen darkening. The method involves loading a fiber of known length and multiple FBG sensors in a hydrogen chamber with control of temperature, hydrogen concentration, pressure, and time and adjusting each of the variables through a test matrix while continuously measuring and recording the fiber transmission loss and FBG spectrum changes, then creating a correlation map of fiber transmission loss vs. Bragg wavelength shift, and using that map for compensating the wavelength shift of downhole installed fiber cables as a function of their hydrogen induced transmission loss through time.

Abstract: Methods are proposed for compensation of distortion in fiber Fabry-Perot interferometric (FFPI) sensors induced by dynamic wavelength dependent attenuation in subsurface wells. The methods involve measurement techniques that correct the reflective spectrum from one or more FFPI sensors utilizing a background low frequency spectrum for normalization.

Abstract: An optical sensor system may include an interrogation system coupled to one or more fiber-optic cables positioned in a wellbore. The interrogation system may interrogate a fiber Fabry-Perot interferometric sensor and one or more fiber Bragg sensors multiplexed in the fiber-optic cables. The optical sensor system may include a processing device to determine whether there is condition that may cause an error in the calculation of the cavity length of the fiber Fabry-Perot interferometric sensor in real-time based on a reference distance between peaks or valleys in the reflected light signal generated by the fiber Fabry-Perot interferometric sensor. The processing device may compare the reference distance to a distance between peaks or valleys detected in the spectrum to identify that an error condition exists and may correct the error prior to calculating the cavity length.

Abstract: Various embodiments include apparatus and methods to measure pressure using an optical fiber. The optical fiber can be structured with fiber Bragg gratings arranged along the optical fiber. Optical signals can be transmitted through the optical fiber, where the optical signals have a wavelength of a slow-light peak of a respective one of the fiber Bragg gratings. Signals resulting from the optical signals transmitted through the optical fiber can be detected and a value of pressure from the detected signals can be determined.

Abstract: Various embodiments include apparatus and methods to measure pressure using an optical fiber. The optical fiber can be structured with fiber Bragg gratings arranged along the optical fiber. Optical signals can be transmitted through the optical fiber, where the optical signals have a wavelength of a slow-light peak of a respective one of the fiber Bragg gratings. Signals resulting from the optical signals transmitted through the optical fiber can be detected and a value of pressure from the detected signals can be determined.