Abstract: Systems and methods include a computer-implemented system. Measurement tools provide real-time measurements for wells and reservoir performance. Control valves are automatically controlled in response to events occurring in the wells. A network provide s communications between the measurement tools, the control valves, and command centers. The command centers provide information to reservoir and production engineers monitoring the group of wells. A technical reservoir and production engineering domain monitors performance indicators for the reservoir and group of wells for events requiring corrective action to be taken.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving, by a computing device, parameters of the fractured well, wherein the fractured well comprises a wellbore and one or more hydraulic fractures extending from the wellbore; generating, by the computing device and based on the parameters of the fractured well, an equivalent complex well that represents the fractured well; and executing, by the computing device and using the equivalent complex well, a simulation that simulates the performance of the fractured well.

Abstract: Techniques for determining one or more hydrocarbon sweet spots include generating a three-dimensional (3D) simulation model of a hydrocarbon reservoir in a subterranean formation; executing a gas winnowing process to the 3D simulation model; applying one or more geomechanical restraints to the 3D simulation model; activating one or more energy simulation parameters with the 3D simulation model; applying a total dynamic productivity index (TDPI) process to the 3D simulation model to generate at least one 3D index that includes one or more hydrocarbon sweet spots; and generating a graphical representation of the generated 3D index for presentation on a graphical user interface (GUI) to a user.

Abstract: Systems and methods include a computer-implemented method for performing an advanced control policy for a group of wells. Choke settings are applied to one or more control elements of each well in a group of wells. Rig control settings are applied to the group of wells. The rig control settings define, for each rule in a set of rules: a rule count limiting a number of times a rule is to be executed in a simulation run and a rule frequency identifying a time frequency by which the rule is to be executed during the simulation run. Settings are received for targets and constraints for the group of wells. The simulation run is executed for the group of wells using the choking settings, the rig control settings, and the settings for of the targets and constraints for the group of wells.

Abstract: Disclosed are methods, systems, and computer-readable medium to perform operations including: receiving, by a computing device, parameters of the fractured well, wherein the fractured well comprises a wellbore and one or more hydraulic fractures extending from the wellbore; generating, by the computing device and based on the parameters of the fractured well, an equivalent complex well that represents the fractured well; and executing, by the computing device and using the equivalent complex well, a simulation that simulates the performance of the fractured well.

Abstract: Simulation model cells of a reservoir having gas condensate production from layers of a subsurface hydrocarbon reservoir are determined by the Total Dynamic Productivity Index (TDPI) method. The determinations are based on rock and fluid physics, including non-Darcy flow and pseudo-pressure integral, which are responsible for pressure drop near wellbores in the gas condensate wells. A three-dimensional (3D) grid matrix is linked with a well placement optimization algorithm to target high gas energy spots and increase productivity, efficiency and recovery from the gas condensate wells.

Abstract: Systems and methods include a computer-implemented method for performing an advanced control policy for a group of wells. Choke settings are applied to one or more control elements of each well in a group of wells. Rig control settings are applied to the group of wells. The rig control settings define, for each rule in a set of rules: a rule count limiting a number of times a rule is to be executed in a simulation run and a rule frequency identifying a time frequency by which the rule is to be executed during the simulation run. Settings are received for targets and constraints for the group of wells. The simulation run is executed for the group of wells using the choking settings, the rig control settings, and the settings for of the targets and constraints for the group of wells.

Abstract: Techniques for determining one or more hydrocarbon sweet spots include generating a three-dimensional (3D) simulation model of a hydrocarbon reservoir in a subterranean formation; executing a gas winnowing process to the 3D simulation model; applying one or more geomechanical restraints to the 3D simulation model; activating one or more energy simulation parameters with the 3D simulation model; applying a total dynamic productivity index (TDPI) process to the 3D simulation model to generate at least one 3D index that includes one or more hydrocarbon sweet spots; and generating a graphical representation of the generated 3D index for presentation on a graphical user interface (GUI) to a user.

Abstract: Simulation model cells of a reservoir having gas condensate production from layers of a subsurface hydrocarbon reservoir are determined by the Total Dynamic Productivity Index (TDPI) method. The determinations are based on rock and fluid physics, including non-Darcy flow and pseudo-pressure integral, which are responsible for pressure drop near wellbores in the gas condensate wells. A three-dimensional (3D) grid matrix is linked with a well placement optimization algorithm to target high gas energy spots and increase productivity, efficiency and recovery from the gas condensate wells.

Abstract: Embodiments of the invention include systems, methods, and computer-readable mediums for optimizing the placement of wells in a reservoir. Embodiments include, for example, determining for a reservoir a layer productivity index for coordinates of a reservoir using reservoir metrics and specified well spacings associated with the reservoir, determining a total dynamic productivity index for the coordinates based on the layer productivity index, and determining placement of one or more wells responsive to the total dynamic productivity index and defined spacing between the one or more wells. Embodiments further include, for example, generating a production analysis report for the reservoir that includes an assessment of well placement and generating a wells placement map using one or more total dynamic productivity index indicators.