A completion section includes a base pipe defining a central flow passage, an injection port, and a production port. A fracturing assembly includes a frac sleeve positioned within the central flow passage adjacent the injection port, a sensor that detects a wireless signal, a first frac actuator actuatable in response to the wireless signal to move the frac sleeve and expose the injection port, and a second frac actuator actuatable based on the wireless signal to move the frac sleeve to occlude the injection port. A production assembly is axially offset from the fracturing assembly and includes a production sleeve positioned within the central flow passage adjacent the production port, a filtration device arranged about the base pipe, and a production actuator actuatable based on the wireless signal or an additional wireless signal to move the production sleeve to an open position where the production ports are exposed.

Implementations provide a computer-implemented method that includes: accessing a first pool of input data encoding a plurality of petrophysical properties of a first set wells of a reservoir; performing one or more petro-rock type (PRT) labeling at least in part based on the first pool of input data; at least in part based on the one or more petro-rock type (PRT) labeling, training one or more models for the reservoir using one or more machine learning algorithms; accessing a second pool of input data encoding the plurality of petrophysical properties of a second set of wells of the reservoir, and applying the one or more models to a second pool of input data to determine a characteristic of the reservoir, wherein the second set of wells are different from the first set of wells.

Methods of controlling surface systems described herein include acquiring data during operation of a surface system that handles fluid using sub-systems; generating a parameter value for one of the sub-systems using at least a portion of the data and a model that models the sub-system using historical data that include operational adjustment data for operational adjustments responsive to conditions; and automatically controlling the one of the sub-systems using the parameter value.

A three-level grid multi-scale finite element method for simulating groundwater flow in heterogeneous aquifers is proposed in present disclosure. The three-level grid refers to dividing the study region into coarse grid elements, then dividing each coarse grid element into medium grid elements, and finally dividing each medium grid element into fine grid elements, thereby improving the coarse-scale basis function construction method of the multi-scale finite element method. The new method of constructing a coarse-scale basis function by using the multi-scale finite element method itself instead of the finite element method is provided, constructing medium-scale basis functions on local medium grid elements, and using the medium-scale basis functions to construct a coarse-scale basis function in each coarse element, which can significantly improve the construction efficiency of the coarse-scale basis function.

Provided are compositions and methods of using a liquid suspension of hollow particles comprising a plurality of hollow particles, water, a suspending aid, and a stabilizer selected from the group consisting of a non-ionic surfactant, a latex, an oleaginous fluid, porous silica, and combinations thereof. The liquid suspension is homogenous. An example method includes statically storing the liquid suspension in a container for at least one week; wherein the liquid suspension maintains a difference in density from the top of the container to the bottom of the container of less than one pound per gallon while stored. The method further includes adding the liquid suspension to a treatment fluid; wherein the liquid suspension reduces the density of the treatment fluid; and introducing the treatment fluid into a wellbore penetrating a subterranean formation.

Provided are compositions and methods of using a liquid suspension of hollow particles comprising a plurality of hollow particles, water, a suspending aid, and a stabilizer selected from the group consisting of a non-ionic surfactant, a latex, an oleaginous fluid, porous silica, and combinations thereof. The liquid suspension is homogenous. An example method includes statically storing the liquid suspension in a container for at least one week; wherein the liquid suspension maintains a difference in density from the top of the container to the bottom of the container of less than one pound per gallon while stored. The method further includes adding the liquid suspension to a treatment fluid; wherein the liquid suspension reduces the density of the treatment fluid; and introducing the treatment fluid into a wellbore penetrating a subterranean formation.

A system for controlling and optimizing hydrocarbon production may include sensors that capture sensor data pertaining to wellhead pressure values in a well. The system may also include a multiphase flow meter that captures production data pertaining to multiphase production flow rates of the well. The system may include an access module to access an estimated parameter value associated with a second time and a parameter that pertains to production. The estimated parameter value is predicted by a data-driven model for describing production fluid dynamics of the well, based on the sensor data and the production data obtained at a first time. The system includes a processor to update the data-driven model using a data assimilation algorithm and the production data received at the second time. The processor generates, using the updated data-driven model, an optimal control setting of a control tool for causing an adjustment to a production system.

An electric submersible pump (ESP) assembly. The ESP assembly comprises an electric motor; a seal section; a fluid intake; a charge pump assembly located downstream of the fluid intake and having an inlet in fluid communication with an outlet of the fluid intake, having a fluid mover coupled to a drive shaft, and having a fluid reservoir located downstream of the fluid mover; a gas separator located downstream of the charge pump assembly and having an inlet in fluid communication with an outlet of the charge pump assembly; an inverted shroud coupled at an upper end to the gas separator or to the charge pump assembly and coupled at a lower end to the ESP assembly below the fluid intake; and a production pump assembly located downstream of the gas separator and having an inlet in fluid communication with a liquid phase discharge port of the gas separator.

A method for determining and implementing a data collection program is disclosed. Data is typically collected in order to develop a subsurface model that can characterize a subsurface to assist in hydrocarbon management. However, it may be difficult to determine how much, or what type of data, to obtain so that the subsurface model is of sufficient certainty. In particular, parameters that define the model and outputs of the model (defined as quantities of interest (QoIs)) are subject to uncertainty. In order to reduce the uncertainty of the QoIs to an acceptable level, data collection programs are iteratively selected based on sequential subsurface uncertainty characterization. In this way, the data collection programs, when implemented, may collect a sufficient amount of data to reduce uncertainty of the subsurface model for subsequent use in hydrocarbon management.

A method for determining and implementing a data collection program is disclosed. Data is typically collected in order to develop a subsurface model that can characterize a subsurface to assist in hydrocarbon management. However, it may be difficult to determine how much, or what type of data, to obtain so that the subsurface model is of sufficient certainty. In particular, parameters that define the model and outputs of the model (defined as quantities of interest (QoIs)) are subject to uncertainty. In order to reduce the uncertainty of the QoIs to an acceptable level, data collection programs are iteratively selected based on sequential subsurface uncertainty characterization. In this way, the data collection programs, when implemented, may collect a sufficient amount of data to reduce uncertainty of the subsurface model for subsequent use in hydrocarbon management.