Halliburton Energy Services, Inc.

Jason Daniel Dykstra

Michael Linley Fripp

Yuzhen Xue

Xingyong Song

Zhijie Sun

Orlando Dejesus

Yiming Zhao

John C Gano

Luke William Holderman

Xiaoqing Ge

Venkata Madhukanth Vadali

Justin Borgstadt

Fanping Bu

Syed Hamid

Qiuying Gu

Jean-Marc Lopez

Liang Zhao

Mehdi Sebdani Mazrooee

Donald Kyle

Floyd Randolph Simonds

Sanja Natali

John Charles Gano

Burkay Donderici

Michael Thomas Pelletier

Hsu-Hsiang Wu

Cyrus A Irani

Kenneth L Schwendemann

Tommy Frank Grigsby

Daniel Viassolo

Frederic Nicolas Felten

Imiya Manjula Wickramasinghe

Luke W Holderman

A system includes different types of downhole sensing tools deployed in a borehole, wherein the different types of downhole sensing tools are optimized to identify a downhole condition based on a predetermined downhole evaluation plan that accounts for sensing tool availability and performance constraints. The system also includes at least one processing unit configured to analyze measurements collected by the different types of downhole sensing tools, wherein the collected measurements are analyzed together to identify the downhole condition. The system also includes at least one device that performs an operation in response to the identified downhole condition.

Methods and systems to optimize downhole condition identification and response using different types of downhole sensing tools

Two control strategies may be implemented to optimize mud circulation in a drilling mud circulation system. In a networked control strategy, the mud circulation system does not involve any centralized controller yet all the local controllers can exchange information in real-time via a central data storage. The master-slave control strategy involves a centralized optimizer, and the subsystems are treated as slave systems and are driven by a visual master control system.

Coordinated control for mud circulation optimization

A drilling assembly control system is designed to control drill bit orientation such that a well path is followed that minimizes oscillations and deviations. When a deviation from the intended well path is detected, a predictive module models the deviated path. Using the modeled path, an optimization module utilizes a cost function and various constraints to analyze alternative correction paths in order to determine which correction path provides the most non-tortuous return to the intended well path.

Optimal control of a drill path using path smoothing

A system that includes a drillstring with a bottomhole assembly (BHA). The system also includes at least one stabilizer or reamer integrated with the BHA, wherein each of the at least one stabilizer or reamer includes a position adjustment assembly. The system also includes a processing unit that provides control signals to each position adjustment assembly, wherein the control signals are based on a cost function.

Bottomhole assembly (BHA) stabilizer or reamer position adjustment methods and systems employing a cost function

A stochastic control method includes determining a property of a solid present in a drilling fluid circulating within a mud circulation system and identifying a mud circulation model that dictates operation of the mud circulation system. The mud circulation model is based on one or more models of one or more uncertainties encountered during a wellbore drilling operation. The method further includes determining an accuracy of the mud circulation model based on a difference between the determined property of the solid present in the drilling fluid and a solid property of the drilling fluid as provided by the mud circulation model, and programming a controller of the mud circulation system based on the mud circulation model to modify operation of the mud circulation system.

Stochastic control method for mud circulation system

Methods and systems for enhancing workflow performance in the oil and gas industry may estimate the properties of drilling muds (e.g., density and/or viscosity) located downhole with methods that utilize real-time data, estimated drilling mud properties, and mathematical models. Further, the methods described herein may optionally account for the uncertainties induced by sensor readings and dynamic modeling. For example, a method may include circulating a drilling mud through a mud circulation system; performing a plurality of measurements from various sensors in a mud circulation system; modeling in real-time drilling mud flow dynamics in the drilling mud using a mathematical dynamics model; predicting physical states of the drilling mud with the mathematical dynamics model, thereby producing model physical state predictions; inputting the measurements into the mathematical dynamics model; and adjusting discrepancies between the model physical state predictions and the measurements using the mathematical dynamics model.

Real-time downhole drilling mud viscosity and density estimations

A method of estimating a state of a rotary steerable drilling system comprising applying a control input to a rotary steerable drilling system, sensing an actual output of the rotary steerable drilling system, inputting the control input into a mathematical model of the rotary steerable drilling system, receiving an estimated output of the rotary steerable drilling system from the mathematical model, generating an error compensation signal based on a difference between the actual output and the estimated output, and applying the error compensation signal to the mathematical model.

Systems and methods for sensorless state estimation, disturbance estimation, and model adaption for rotary steerable drilling systems

Vibrational behavior of a wellbore operation can be characterized as a vibrational map relating a modeled or sensed vibration level of the operation's equipment to operational parameters of the wellbore operation. The operational parameters can be controllable by settings of the equipment. The map can include multiple contour lines, each representing a set of adjacent coordinates of operational parameters that have the same vibrational level. Tracing a contour line can include determining vibration at a pre-tracing coordinate, adjusting the operational parameters until the vibration level to be mapped is reached at a tracing origin coordinate, then varying the operational parameters while keeping the vibration level constant until the tracing origin or a bound of the operational parameters is reached. Vibration levels having multiple, non-intersecting contour lines can be found by repeating tracing from a different pre-tracing coordinate.

Downhole vibration characterization

A method includes generating a torsional wave that propagates in a drill string having a drill bit coupled at a first end of the drill string and a top drive coupled at a second end of the drill string, and determining first and second components of the torsional wave. The first component propagates from the drill bit to the top drive and the second component propagates from the top drive to the drill bit. The method further includes calculating a first control signal to mitigate the first component, calculating a second control signal to regulate the second component, and generating a torque command based on the first and second control signals to control the top drive to dampen the torsional wave.

Mitigating vibrations in a drilling system

A method includes generating k, (k+1), . . . , (k)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), . . . , k, actuating the flow control devices during the kstep using the kcontrol input, measuring a position of a fluid front and a dynamic state of the well system during the kstep; predicting a dynamic state of the well system at each step (k+1), . . . , kusing a state predictor, updating the (k+1), . . . , (k)control inputs based on the predicted dynamic states, optimizing the (k+1), . . . , (k)control inputs using a desired cost function, actuating the flow control devices during the (k+1)step using the optimized value for the (k+1)step, and measuring the position of the fluid front and a dynamic state of the well system during the (k+1)step.

Real-time water flood optimal control with remote sensing

A method of evaluating a subterranean formation includes conveying a tool along a borehole. The tool includes a transmitter that transmits a drive pulse and a receiver that receives at least one formation response to the drive pulse. The method further includes calculating a signal-to-noise ratio of the at least one formation response and comparing the signal-to-noise ratio to a programmable threshold. The method further includes determining, based on the comparing, an adjusted drive pulse to transmit and transmitting the adjusted drive pulse. The method further includes and receiving at least one formation response to the adjusted drive pulse and deriving formation data from the at least one formation response to the adjusted drive pulse. The method further includes displaying a representation of the formation based on the formation data.

Using an adjusted drive pulse in formation evaluation

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.

Structure for fluid flowback control decision making and optimization

In some aspects, the present invention comprises a system and method for optimizing the control scheme used for drilling operations based on the complex and large data sets available in realtime during operation of a wellsite and based on existing model data available at the wellsite for past similar drilling operations. Such optimizations typically require downtime to quantify how the realtime values will factor into the control model, but the present invention allows for such optimization in realtime in a closed-loop system that will reduce the non-productive time associated with reservoir operations.

Method to optimize oilfield operations based on large and complex data sets

A method for controlling drilling fluid properties, in some embodiments, comprises determining a predictive model for a fluid circulation system that routes drilling fluid downhole to a drill bit to remove debris from said drill bit; determining a cost function associated with the fluid circulation system; using the predictive model and the cost function to determine a set of input values for the predictive model; operating a controlled device according to at least some of the set of input values, said controlled device changes properties of the drilling fluid in the fluid circulation system; and obtaining measurements of the properties.

Real-time control of drilling fluid properties using predictive models

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.

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Carrollton, TX, United States of America

Jason Daniel Dykstra