According to examples, system control may include accessing a plurality of procedures to control an operation of a system to prevent an occurrence of a fault in the system and/or a reduction of an output of the system. A highest ranked procedure may be learned from the plurality of procedures to control the operation of the system to prevent the occurrence of the fault in the system and/or the reduction of the output of the system. Real-time data associated with the system may be accessed. Further, the operation of the system may be controlled by applying the highest ranked procedure to prevent the occurrence of the fault in the system and/or the reduction of the output of the system.

A method of managing oilfield activity with a control system is provided having a plurality of virtual sensors and integrating the virtual sensors into a virtual sensor network. The method includes determining interdependencies among the virtual sensors, obtaining operational information from the virtual sensors, and providing virtual sensor output to the control system based on the determined interdependencies and the operational information.

System and methods of simulating fluid production in a multi-reservoir system with a common surface network are presented. An equation of state (EOS) characterization of fluids is matched with a delumped EOS model representing different components of the fluids for each reservoir within the multi-reservoir system. Fluid production in the multi-reservoir system is simulated for at least one simulation point in the common surface network, based in part on the delumped EOS model for each reservoir. If the fluids produced during the simulation at the simulation point are mixed fluids from different reservoirs, one or more interpolation tables representing the mixed fluids are generated and properties of the mixed fluids are calculated based on the generated interpolation tables. Otherwise, the properties of the fluids are calculated using the delumped EOS model corresponding to the reservoir from which the fluids are produced.

System and methods of simulating fluid production in a multi-reservoir system with a common surface network are presented. An equation of state (EOS) characterization of fluids is matched with a delumped EOS model representing different components of the fluids for each reservoir within the multi-reservoir system. Fluid production in the multi-reservoir system is simulated for at least one simulation point in the common surface network, based in part on the delumped EOS model for each reservoir. If the fluids produced during the simulation at the simulation point are mixed fluids from different reservoirs, one or more interpolation tables representing the mixed fluids are generated and properties of the mixed fluids are calculated based on the generated interpolation tables. Otherwise, the properties of the fluids are calculated using the delumped EOS model corresponding to the reservoir from which the fluids are produced.

A method includes providing an injection well extending from a surface into a formation and alternatingly pumping a foam injectant and a gel injectant into the injection well, wherein the foam injectant includes a liquid phase with a surfactant and water and a gas phase and the gel injectant includes a water-soluble polymer and a crosslinker. The foam injectant and the gel injectant are injected at separate times and sequentially.

Disclosed are methods, systems, and computer-readable medium to perform operations including: identifying historical production data related to a plurality of previously-drilled wells; determining, based on the historical production data, a correlation between productivity index and estimated ultimate recovery (EUR); calculating a first productivity index for a current well; and determining, based on the productivity index of the current well and the correlation, a first EUR of the current well.

A system and method for machine learning with physics-based models to predict multilateral well performance are provided. An exemplary method enables obtaining data associated with well completion, data associated with inflow control valves, and reservoir attributes of multilateral wells. Production scenarios are generated based on the data associated with well completion, the data associated with inflow control valves, and the reservoir attributes of the multilateral wells. The production scenarios are input into a physics-based model of the multilateral wells, and simulation data associated with the multilateral wells output from the physics-based model is obtained. A neural network based machine learning model is trained using the simulation data associated with the multilateral wells and target parameters associated with the multilateral wells, wherein the trained machine learning model is configured to predict multilateral well production parameters.

Methods and systems for gasifying coal are disclosed herein. In some embodiments, a representative coal gasification system can comprise (i) an injection well extending from a ground surface to an underground coal gasification (UCG) reaction region of a coal seam; (ii) a production well spaced apart from the injection well and extending from the ground surface to the UCG reaction region, and (iii) conduits each extending from the ground surface to areas of the coal seam. End portions of the conduits within the coal can be laterally peripheral to the UCG reaction region. The conduits are configured to deliver a primary fluid from the ground surface to the primary region, the injection well is configured to deliver an oxidant gas to the UCG reaction region, and the production well is configured to deliver the product gas from the UCG reaction region to the ground surface.

The invention is a method for exploitation of a sedimentary basin containing hydrocarbons, including optimized scaling of the geological model. Based on categorical property measurements, a first meshed representation of a formation is constructed reflecting the categorical property measurements. At least one second meshed representation having a lower resolution is constructed by assigning a categorical property value to each mesh of the second representation corresponding to a group of meshes of the first representation and storing parameters for changing from the second representation to the first representation with those change parameters enabling reconstitution of the first representation.

In some embodiments, an apparatus and a system, as well as a method and article of manufacture, may operate to determine a value of strain, such as an equivalent plastic strain, in a perforated portion of a well by applying a set of draw-down pressures to the surface of at least one perforation tunnel in the perforated portion. The perforated portion, in turn, is modeled using stress components provided by a global field model that includes the location of the well, to set boundary conditions at the surface of the well. A well drilling process and a tunnel perforating process are modeled with element removal and pressure addition for the perforated portion. Additional activity may include operating a controlled device based on the value of strain that is determined. Additional apparatus, systems, and methods are disclosed.