Real-time water flood optimal control with remote sensing

    公开(公告)号:US10968728B2

    公开(公告)日:2021-04-06

    申请号:US16074762

    申请日:2016-05-27

    Abstract: A method includes generating kth, (k+1)th, . . . , (kfinal)th control inputs for actuating flow control devices of a production well and/or an injection well of a well system during corresponding sampling steps k, (k+1), . . . , kfinal, actuating the flow control devices during the kth step using the kth control input, measuring a position of a fluid front and a dynamic state of the well system during the kth step; predicting a dynamic state of the well system at each step (k+1), . . . , kfinal using a state predictor, updating the (k+1)th, . . . , (kfinal)th control inputs based on the predicted dynamic states, optimizing the (k+1)th, . . . , (kfinal)th control inputs using a desired cost function, actuating the flow control devices during the (k+1)th step using the optimized value for the (k+1)th step, and measuring the position of the fluid front and a dynamic state of the well system during the (k+1)th step.

    Structure for fluid flowback control decision making and optimization

    公开(公告)号:US10941642B2

    公开(公告)日:2021-03-09

    申请号:US15577380

    申请日:2015-07-17

    Abstract: Methods and systems are presented in this disclosure for evaluating whether to apply fluid flowback during a fracture closure stage of a hydraulic fracturing operation of a reservoir formation. Information collected prior to the fracture closure stage of the hydraulic fracturing operation can be first gathered. Based on the collected information, it can be determined whether to perform fluid flowback during the fracture closure stage following a treatment stage of the fracturing operation. Based on the determination, a rate of the fluid flowback can be adjusted and optimized in real-time during the fracture closure stage.

    Downhole positioning control system with force compensation

    公开(公告)号:US10883340B2

    公开(公告)日:2021-01-05

    申请号:US16330293

    申请日:2016-09-22

    Abstract: Methods and systems for controlling the downhole position and velocity of a work string using a downhole position and velocity controller may be configured or otherwise programmed to account for force compensation. For example, the work string may undergo significant length changes like thermal expansion and elongation or contraction due to inertial forces, self-weight, and wellbore pressure. Also, the downhole conditions (e.g., temperature, internal forces, self-weight, and wellbore pressure) can cause the work string to be overloaded and become damaged if fast or sudden manipulations occur. The dynamic model implemented with the downhole position and velocity controller may be configured to account for the downhole forces experienced by the work string due to downhole conditions to provide the position and velocity movements that should occur at the surface to achieve the desired position and velocity movements downhole.

    Method and system for smart resource allocation

    公开(公告)号:US10563497B2

    公开(公告)日:2020-02-18

    申请号:US15576077

    申请日:2016-02-18

    Abstract: A system including a plurality of subsystems having a controller coupled with a sensor, an actuator, and a processor; and a resource allocation processor coupled with each of the plurality of subsystems, the resource allocation processor comprising a memory storing instructions which cause the resource allocation processor to determine a drilling system model, receive the measurement from each of the plurality of subsystems, generate a subsystem interaction model based at least in part on the dynamic subsystem model of each of the plurality of subsystems, run a risk evaluation based at least in part on the subsystem interaction module and a risk threshold, generate a resource allocation model, and transmit the resource allocation model to each of the plurality of subsystems; and wherein the subsystem controller in each of the plurality of subsystems activates the actuator to adjust a subsystem parameter to meet the resource allocation model.

    Reducing microseismic monitoring uncertainty

    公开(公告)号:US10429528B2

    公开(公告)日:2019-10-01

    申请号:US15518572

    申请日:2014-11-19

    Abstract: Uncertainty of microseismic monitoring results can be reduced to improve hydraulic fracture modeling. A computing device can use a fracture model to determine a predicted geometry of a hydraulic fracture in a subterranean formation based on properties of a fracturing fluid that is introduced into the subterranean formation. An uncertainty index of the predicted geometry of the hydraulic fracture can be determined based on an uncertainty value of the predicted geometry and a trend of uncertainty values. When the injection flow rate of the fracturing fluid is less than a maximum flow rate, it can be increased from an initial injection flow rate to an increased injection flow rate in response to determining the uncertainty index exceeds a pre-set maximum.

    DIRECTIONAL DRILLING WITH STOCHASTIC PATH OPTIMIZATION OF OPERATING PARAMETERS

    公开(公告)号:US20190284921A1

    公开(公告)日:2019-09-19

    申请号:US15550467

    申请日:2016-12-09

    Abstract: A disclosed drilling method includes: obtaining a formation model representing formation properties to be encountered by a drilling assembly being steered towards a target; identifying at least one path-dependent drilling dynamics model for predicting the drilling assembly's response to one or more operating parameters; characterizing uncertainties associated with said formation model and said at least one drilling dynamics model, said characterizing yielding a probability density function for each uncertainty; representing an acceptable range for each of said one or more operating parameters as a probability density function; employing the probability density functions to determine random samples of said uncertainties and of said one or more operating parameters; applying a cost function to the random samples to determine an expected cost as a function said one or more operating parameters; and displaying the randomly sampled operating parameters having a minimum expected cost as optimized operating parameters.

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