Abstract: Applying a machine learning model to output predicted melt property values of a polymer extrudate based on an input data set derived from operating parameters of a polymer extruder that produces the polymer extrudate. The machine learning model can also be trained.

Abstract: Aqueous emulsions containing a crosslinking agent, an emulsifying agent, a vegetable oil, and optionally a freeze point depressing agent are provided. Also provided are fluids that include the aqueous emulsion and a crosslinkable organic polymer, and additional fluids that contain the aqueous emulsion, a crosslinkable organic polymer and a proppant. The aqueous emulsions and fluids are useful in a variety of oil field and gas field applications. Furthermore, methods for the recovery of petroleum using the fluids described herein are also provided.

Abstract: Methods are provided that include a method comprising providing a viscosified treatment fluid comprising a base fluid and a gelling agent that comprises a clarified xanthan; and placing the viscosified treatment fluid into at least a portion of a subterranean formation. In some embodiments, the method comprises placing the viscosified treatment fluid into at least a portion of a subterranean formation at a pressure sufficient to create or enhance at least one fracture in the subterranean formation. In some embodiments, the viscosified treatment fluid may also comprise a plurality of particulates. In some embodiments, the viscosified treatment fluids may be placed into at least a portion of a pipeline. Additional methods are also provided.