Abstract: Systems and methods of the present disclosure provide systems and methods for receiving an indication of criteria for a function to be performed at a commercial process facility. The criteria are used to determine one or more scenarios that meet the criteria. Coupled simulators then generate one or more route maps from the one or more scenarios. A route map is selected from the one or more route maps that causes at least one operation of the route map to be performed.

Abstract: Embodiments presented provide for a method for calculation of an optimal scheme for wellbore cleanup. In embodiments, an emissions measure is used to minimize environmental impact from wellbore cleanup activities while establishing the most efficient steps and techniques to be performed during the cleanup activities.

Abstract: A method includes adding a core logic block to a system design, in which the core logic block is representative of a process for converting excess gas provided by a feed logic block into a product, connecting the core logic block to the feed logic block, identifying an adjustment to the excess gas provided by the feed logic block, the product produced by the core logic block, or both, adding a utility logic block to the system design to implement the adjustment to the excess gas provided by the feed logic block, the product produced by the core logic block, or both, connecting the utility logic block to the feed logic block, the core logic block, or both, determining a power balance for the system design, and outputting the system design in response to determining that the power balance for the system design is within an acceptable range.

Abstract: A system for capturing a target species from an exhaust gas stream generated by at least one engine at a surface of a wellbore utilized in reservoir stimulation for subsurface energy recovery. The system includes a heat exchanging system for cooling the exhaust gas stream to a predetermined temperature. The system includes a water separation unit for separating a liquid from the cooled exhaust gas stream. The system includes a target species capture module for capturing the target species from the cooled exhaust gas stream. The system includes a target species regeneration module to extract the captured target species. The system includes a target species compression module for liquefying the captured target species. The system includes a target species storage module for storing the liquified target species, wherein the system is mounted on a mobile platform for transportation to and from the surface of the wellbore.

Abstract: Systems and methods presented herein generally relate to determining flaring efficiency of a flare based at least in part on radiant or thermal heat generated by the flare that is detected by one or more flare monitors. In particular, in certain embodiments, a control system may be used to determine a flaring efficiency of the combustion of the flare gas at the tip of the flare based at least in part on the radiant or thermal heat detected by the one or more flare monitors.

Abstract: Fluid modeling methods and systems are provided for predicting phase behavior of petroleum fluids using a computational model that employs pseudo-components of varying carbon numbers that represent asphaltenes, asphaltene-like hydrocarbon, and non-asphaltene hydrocarbons. The computational model models the phase equilibria of the mixture of components with mixing rules that employ binary interaction parameters determined from correlations that involve certain properties or parameters associated with respective pseudo-component pairs as input variables. The binary interaction parameters are tuned by adjusting at least one parameter of the respective correlations based on matching at least one measured property of one or more petroleum fluids to a corresponding property predicted by the computational model for the one or more petroleum fluids. The tuned values for the binary interaction parameters can be stored as part of the computational model for subsequent fluid modeling.