Abstract: An integrated and comprehensive method and system is disclosed for measuring and real-time monitoring of gas flare and using that information to improve and/or optimize oil and gas production and/or flare operations. A first embodiment of the invention comprises a camera or any other visual recognition and recording system coupled with an image and video analytics/machine learning module to measure the flare and identify gas components or flow properties. A second embodiment of the invention is directed towards an intelligent optimization method and system that uses the flare and gas information and suggest a set of optimal production values to optimize flaring and reduce environmental impact of it.

Abstract: A system for reliable preventative maintenance of a device includes a telemetry component health predictor that generates predictive performance statistics for telemetry components performing telemetry collection or telemetry transmission operations for the device. The system further includes a predictive maintenance analytics engine that generates predictive performance statistics for the device based on device telemetry and the predictive performance statistics generated for the telemetry components of the device.

Abstract: An integrated and comprehensive method and system is disclosed for management and optimization of innovation and associated processes under uncertainty. A first embodiment of the invention consists of a data mining and clustering module to compare a new innovation submission with existing internal and external entries and databases, identify similarities and group similar entries together. A second embodiment of the invention is directed towards an intelligent machine learning module to learn from the available data of previous innovation projects and provide estimates of outputs or target values for new innovation submissions or entries. In a third embodiment of the invention, an uncertainty quantification method and system is introduced to handle uncertain inputs of innovation entries and provide probabilistic estimates of outputs by generating a plurality of solutions and scenarios.

Abstract: An integrated and comprehensive method and system is disclosed for management and optimization of innovation and associated processes under uncertainty. A first embodiment of the invention consists of a data mining and clustering module to compare a new innovation submission with existing internal and external entries and databases, identify similarities and group similar entries together. A second embodiment of the invention is directed towards an intelligent machine learning module to learn from the available data of previous innovation projects and provide estimates of outputs or target values for new innovation submissions or entries. In a third embodiment of the invention, an uncertainty quantification method and system is introduced to handle uncertain inputs of innovation entries and provide probabilistic estimates of outputs by generating a plurality of solutions and scenarios.

Abstract: The present invention is directed to systems and methods for mobile applications. A method may include establishing communication between a mobile device and a computing device and receiving input at the mobile device. Further, the method may include conveying data based on at least one simulation performed by the computing device via the mobile device. In addition, the method may include performing at least one operation at the mobile device at least partially based on the conveyed data.

Abstract: The present disclosure describes an efficient process through which knowledge gleaned from prior reservoir simulations may be captured and applied to future simulations with or without user involvement. A plurality of reservoir simulation categories may be defined and stored to a database. In one embodiment, reservoir simulation data may be captured and analyzed in order to identify process steps and/or workflows for each category of stored reservoir simulations. Upon starting a new reservoir simulation, the system may identify the category of the simulation at issue and query the database in order to identify stored process steps and/or workflows applicable thereto. The stored process steps and/or workflows may then be applied to the new reservoir simulation automatically or by providing suggestions and/or recommendation to the user.