The recovery of oil from subsurface reservoirs often requires the injection of water or gas to
maintain reservoir pressure and to displace the oil from injection to production wells. The …

The most common fallacy in the quest for the optimum stimulation treatment in shale plays
across the country is to treat them all just like the Barnett Shale. There is no doubt that the …

Closed-loop reservoir management is a combination of model-based optimization and data
assimilation (computer-assisted history matching), also referred to as 'real-time reservoir …

Dynamic optimization of waterflooding using optimal control theory has significant potential
to increase ultimate recovery, as has been shown in various studies. However, optimal …

In this paper, we develop an efficient algorithm for production optimization under linear and
nonlinear constraints and an uncertain reservoir description. The linear and nonlinear …

A novel correlation identifying inefficient drilling conditions is presented using experimental
and field data. Historically, Mechanical Specific Energy (MSE) has been used to improve the …

This paper proposes an augmented Lagrangian method for production optimization in which
the cost function to be maximized is defined as an augmented Lagrangian function …

Performing a line search method in the direction given by the simplex gradient is a well-
known method in the mathematical optimization community. For reservoir engineering …

In this study, we investigate the use of deep learning-based and kernel-based proxy models
in nonlinearly constrained production optimization and compare their performances with …

In the process of reservoir development, we always wish to drill wells at optimal locations so
that more hydrocarbons can be extracted at a lower cost. Because well locations in a …