Chevron U.s.a. Inc.

Albemarle Corporation

Ketjen Limited Liability Company

Min Li

Andrew J Loebl

Sandra Gavalda

Eswaramoorthi Iyyamperumal

Amir Sabahi

Andrea Marcinkova

Chaoshun Hu

Baosheng Liang

Julie Francis

Julie A Francis

A method is described for predicting permeability including receiving a 3-D earth model including a volume of interest; generating 2-D property images; receiving 2-D fracture images; training a physics-guided neural network using the 2-D fracture images; and predicting permeability using the physics-guided neural network applied to the 2-D property images. The method is executed by a computer system.

Artificial learning fracture system and method for predicting permeability of hydrocarbon reservoirs

Process for the preparation of a catalyst and a catalyst comprising more than one silica is provided herein. Thus, in one embodiment, the invention provides a particulate FCC catalyst comprising about 5 to about 60 wt % one or more zeolites, about 10 to about 45 wt % quasicrystalline boehmite (QCB), about 0 to about 35 wt % microcrystalline boehmite (MCB), greater than about 0 to about 15 wt % silica from sodium stabilized colloidal silica, greater than about 0 to about 30 wt % silica from ammonia stabilized or lower sodium colloidal silica, and the balance clay and the process for making the same. This process results in attrition resistant catalysts with good performance.

FCC catalyst prepared by a process involving more than one silica material

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Houston, TX, United States of America

Min Li