Honeywell International Inc.

Jeffrey G Renfro

Joseph Z Lu

Ravi Nath

Sanjay Kumar Sharma

Jerome J Stanek

A method includes obtaining a model associated with production of natural gas from a well, where the well has a choke valve that controls flow of material including natural gas from the well. The method also includes identifying, using the model, a solution that increases an amount of natural gas obtained from the well over a specified time horizon. In addition, the method includes adjusting operation of the choke valve based on the identified solution. The model could be generated using geological data associated with the well and/or historical data associated with natural gas production from the well. A natural gas reservoir can be modeled as a continuous stirred bed with a rock or shale void fraction using mass or volumetric unit balances. Gas content versus pressure for the well can be plotted, and Langmuir adsorption parameters for the well can be identified using the plotted gas content versus pressure.

Apparatus and method for increasing the ultimate recovery of natural gas contained in shale and other tight gas reservoirs

A method includes obtaining a nonlinear process model modeling a nonlinear process to be controlled. The method also includes obtaining an objective function defining how the process is controlled. The method further includes obtaining a control model defining a dynamic feasible region associated with a controlled variable, where the controlled variable is associated with the process. In addition, the method includes controlling the nonlinear process by solving a control problem that includes the process model, control model, and objective function. The dynamic feasible region defined by the control model could represent a funnel region. The objective function could include terms for minimizing and optimizing adjustments to one or more manipulated variables associated with the process. Controlling the nonlinear process could include performing simultaneous control and optimization, where adjustments to the one or more manipulated variables are chosen to meet the control objectives and possibly to optimize and minimize the adjustments.

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Deer Park, TX, United States of America

Jeffrey G Renfro