Chevron U.s.a. Inc.

University of Pittsburgh

Triad National Security, LLC

Karim Shafik Zaki

Margaretha Catharina Maria Rijken

Yan Li

Russell Thomas Ewy

Velimir V Vesselinov

Oya Aysen Karazincir

Rajesh S Nair

Ruiting Wu

Andrew Paul Bunger

Yunhui Tan

Wade H Williams

Amr Said El-Fayoumi

Qiao Lu

Jose I Adachi

A computer implemented method for prediction of geomechanical performance including productivity index decline and completion integrity for a well or a hydrocarbon reservoir using a geomechanics informed machine intelligence (GIMI) algorithm. The method includes running a geomechanical reservoir simulator to generate training datasets for the hydrocarbon reservoir and incorporating physical models and identified variables into the GIMI algorithm. The method further includes training a neural network of the GIMI algorithm by using correlated training datasets that correlate to the physical models to produce a resulting prediction model and performing sensitivity analysis on the resulting prediction model. Additionally, the method includes identifying dominant variables for damage mechanisms through design of experiment statistics and performing history matching and blind test on the resulting prediction model. Lastly, the method includes updating the identified variables and models incorporated into the GIMI algorithm.

Geomechanics informed machine intelligence

A dissipation equilibrium value for a well operation may be determined based on a height of a fracture within a layer and a limit on the change of the height of the fracture (fracture height change limit). A pressure limit for the well operation may be determined based on the dissipation equilibrium value, stress in the layer, and stress in a bounding layer. The pressure limit may be used to control the pressure of the well during the well operation, and prevent growth of the fracture beyond the fracture height change limit.

Control of fracture growth during well operation

In some embodiments, a system includes a housing having a cavity defined therein for holding a test sample, a first inlet in fluid communication with the cavity to deliver fluid to the test sample, a second inlet in fluid communication with the cavity to deliver fluid to the test sample, the first inlet configured to deliver fluid to the test sample in a direction substantially perpendicular to a direction that the second inlet is configured to deliver fluid to the test sample, an outlet in fluid communication with the cavity to receive fluid from the test sample, and a force applicator configured to apply compressive force to the test sample within the cavity. The force applicator forms a seal with the housing while applying compressive force to the test sample. The system also comprises at least one sensor configured to, while fluid flows from at least one of the inlets through the test sample to the outlet, determine a fluid characteristic, a test sample characteristic, or any combination thereof.

Systems and methods for fracture face formation permeability measurements

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Houston, TX, United States of America

Karim Shafik Zaki