Abstract: A system and method for improving driver situation awareness prediction using human visual sensory and memory mechanism that includes receiving data associated with a driving scene of a vehicle and an eye gaze of a driver of the vehicle. The system and method also include analyzing the data and extracting features associated with objects located within the driving scene and determining a situational awareness score that is associated with a situational awareness of the driver with respect to each of the objects located within the driving scene. The system and method further include communicating control signals to electronically control at least one system of the vehicle based on the situational awareness score that is associated with each of the objects located within the driving scene.

Abstract: The present invention relates to the use of a CD91 polypeptide for detection and quantification of a hemopexin:heme complex in a biological sample, to the use of a CD91 polypeptide for separation of a hemopexin:heme complex from a biological sample and to the monitoring of a hemolysis treatment using a CD91 polypeptide.

Abstract: A method of determining wettability may include: measuring an electrical property of a drilling fluid; and correlating the electrical property to wettability.

Abstract: Compositions and methods of using of such compositions to, for example, inhibit shale are provided. In one embodiment, the methods include introducing an additive including a cationic clay stabilizer and an anionic clay stabilizer into a treatment fluid; and introducing the treatment fluid into a wellbore penetrating at least a portion of a subterranean formation. In some embodiments, the methods include introducing an additive including a cationic shale inhibitor and an anionic shale inhibitor into a treatment fluid; and introducing the treatment fluid into a wellbore penetrating at least a portion of a subterranean formation.

Abstract: The present disclosure provides methods, compositions, and systems directed to filter cake removal embodying a delayed breaker fluid for oil-based drill-in fluids. A wellbore treatment method comprising: introducing a delayed breaker fluid into a wellbore, wherein the delayed breaker fluid comprises an aqueous base fluid, an acid precursor, and a carbodiimide; and contacting a filter cake in the wellbore with the delayed breaker fluid such that the filter cake is at least partially degraded by acid released from the acid precursor.

Abstract: Provided are compositions and methods that use a true crystallization temperature reduction additive in the aqueous internal phase. An example method may comprise providing an oil-based treatment fluid in the form of an invert emulsion comprising an aqueous internal phase and an oil external phase. The aqueous internal phase may include a bromide brine and a true crystallization temperature reduction additive, wherein the bromide brine has a density of about 14.2 lbs/gal or greater. The method may further include placing the oil-based treatment fluid into a wellbore.

Abstract: Provided are compositions and methods that use a true crystallization temperature reduction additive in the aqueous internal phase. An example method may comprise providing an oil-based treatment fluid in the form of an invert emulsion comprising an aqueous internal phase and an oil external phase. The aqueous internal phase may include a bromide brine and a true crystallization temperature reduction additive, wherein the bromide brine has a density of about 14.2 lbs/gal or greater. The method may further include placing the oil-based treatment fluid into a wellbore.

Abstract: A method may include: performing a treatment operation on at least a portion of a subterranean formation using an oil-in-water emulsion treatment fluid that comprises an oleaginous phase and an aqueous phase; recovering at least a portion of the oil-in-water emulsion treatment fluid from the portion of the subterranean formation; introducing a quaternary ammonium compound into the recovered portion of the oil-in-water emulsion treatment fluid at a well site; and mechanically separating at least a portion of the recovered portion of the oil-in-water emulsion treatment fluid into an oleaginous fluid and an aqueous fluid

Abstract: A method of drilling in a subterranean formation. A method may include providing a direct emulsion drilling fluid comprising an aqueous fluid, an oil, and a polysorbate emulsifier; circulating the direct emulsion drilling fluid from a surface, through a wellbore, and back to the surface; and extending the wellbore in the subterranean formation while circulating the direct emulsion drilling fluid.

Abstract: Quaternary ammonium compounds and methods of using such compounds to, for example, break oil-in-water emulsion treatment fluids are provided. In some embodiments, such methods include introducing a quaternary ammonium compound into an oil-in-water emulsion treatment fluid that comprises an oleaginous phase and an aqueous phase; and centrifuging at least the portion of the oil-in-water emulsion treatment fluid to separate at least a portion of the oil-in-water emulsion treatment fluid into an oleaginous fluid and an aqueous fluid.

Abstract: The present disclosure provides a method and system to operationalize driver eye movement data analysis based on moving objects of interest. Correlation and/or regression analyses between indirect (e.g., eye-tracking) and/or direct measures of driver awareness may identify variables that feature spatial and/or temporal aspects of driver eye glance behavior relative to objects of interest. The proposed systems and methods may be further combined with computer-vision techniques such as object recognition to (e.g., fully) automate eye movement data processing as well as machine learning approaches to improve the accuracy of driver awareness estimation.

Abstract: A system and method for improving driver situation awareness prediction using human visual sensory and memory mechanism that includes receiving data associated with a driving scene of a vehicle and an eye gaze of a driver of the vehicle. The system and method also include analyzing the data and extracting features associated with objects located within the driving scene and determining a situational awareness score that is associated a situational awareness of the driver with respect to each of the objects located within the driving scene. The system and method further include communicating control signals to electronically control at least one system of the vehicle based on the situational awareness score that is associated with each of the objects located within the driving scene.

Abstract: Determining object importance in vehicle control systems can include obtaining, for a vehicle in operation, an image of a dynamic scene, identifying an object type associated with one or more objects in the image, determining, based on the object type and a goal associated with the vehicle, an importance metric associated with the one or more objects, and controlling the vehicle based at least in part on the importance metric associated with the one or more objects.

Abstract: The present disclosure provides methods, compositions, and systems directed to filter cake removal embodying a delayed breaker fluid for oil-based drill-in fluids. A wellbore treatment method comprising: introducing a delayed breaker fluid into a wellbore, wherein the delayed breaker fluid comprises an aqueous base fluid, an acid precursor, and a carbodiimide; and contacting a filter cake in the wellbore with the delayed breaker fluid such that the filter cake is at least partially degraded by acid released from the acid precursor.

Abstract: The present disclosure provides methods, compositions, and systems directed to filter cake removal embodying a delayed breaker fluid for oil-based drill-in fluids. A wellbore treatment method comprising: introducing a delayed breaker fluid into a wellbore, wherein the delayed breaker fluid comprises an aqueous base fluid, an acid precursor, and a carbodiimide; and contacting a filter cake in the wellbore with the delayed breaker fluid such that the filter cake is at least partially degraded by acid released from the acid precursor.

Abstract: A system and method for outputting vehicle dynamic controls using deep neural networks that include receiving environmental sensor data from at least one sensor of a vehicle of a surrounding environment of the vehicle. The system and method also include inputting the environmental sensor data to a primary deep neural network structure and inputting intermediate representation, at least one applicable traffic rule, and at least one applicable vehicle maneuver to a secondary deep neural network structure. The system and method further include outputting vehicle dynamic controls to autonomously control the vehicle to navigate within the surrounding environment of the vehicle based on the at least one applicable traffic rule and the at least one applicable vehicle maneuver.

Abstract: A system and method for providing context aware road user importance estimation that include receiving at least one image of a vicinity of an ego vehicle. The system and method also include analyzing the at least one image to determine a local context associated with at least one road user located within the vicinity of the ego vehicle. The system and method additionally include determining a global context associated with the ego vehicle. The system and method further include fusing the local context and the global context to classify at least one highly important road user that is to be accounted for with respect to operating the ego vehicle.

Abstract: Systems and techniques for autonomous vehicle decision making may include training an autonomous vehicle decision making database by capturing an image including a first training object and a second training object during a training phase. The first training object may be classified as a first class and the second training object may be classified as a second class based on a driver gaze location associated with a driver of the vehicle. The database may be built based on classification of the first training object and the second training object. The autonomous vehicle decision making database may be utilized to classify a first object as a first class and a second object as a second class during an operation phase. A processor may perform a first computation associated with the first object based on the classification of the first object and the classification of the second object.

Abstract: The present disclosure provides a method and system to operationalize driver eye movement data analysis based on moving objects of interest. Correlation and/or regression analyses between indirect (e.g., eye-tracking) and/or direct measures of driver awareness may identify variables that feature spatial and/or temporal aspects of driver eye glance behavior relative to objects of interest. The proposed systems and methods may be further combined with computer-vision techniques such as object recognition to (e.g., fully) automate eye movement data processing as well as machine learning approaches to improve the accuracy of driver awareness estimation.

Abstract: In some examples, a dynamic system, including a vehicle, may be represented using a graph-based representation. One or more nodes in the graph-based representation may correspond to one or more agents in the dynamic system, and one or more edges between the nodes in the graph-based representation may correspond to one or more interactions between the agents in the dynamic system. The interactions may be defined based on human domain knowledge of the dynamic system. The dynamic system may be modeled using a respective machine learning model that includes a reward decoder that operates on the graph-based representation and evaluates one or more reward functions for the dynamic system. The one or more reward functions may be defined based on the human domain knowledge of the dynamic system. Autonomous operation of the vehicle may be controlled based on the modeling of the dynamic system.