Control Systems

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Control Systems Strategic development of control systems which support drilling systems automation

Presenter: Calvin Inabinett

Challenge Team Members • • • • • •

Calvin Inabinett: Aerojet Rocketdyne Terry Loftis: Transocean Ian Russell: KCADeutag Hans-Uwe Brackel: Baker Hughes Jim Rogers: Chevron Benjamin Facker: NOV

IADC ART Workshop Vienna June 2014 Control Systems Presenter: Calvin Inabinett

Control System Functional Description • Devices that control the machines, that collect data from the rig and downhole sensors, and that are used by a human operators as interfaces to control the machines (HMI) and to get information from the drilling process. • Additional Scope: Autonomy of the Drilling Process

IADC ART Workshop Vienna June 2014 Control Systems Presenter: Calvin Inabinett

Controls mapping to DSA-R Vision • “well plans are uploaded into an interoperable drilling system”, • “updates remote operators and experts in real time” • “Routine multiple wells will rely on remote operations centers” IADC ART Workshop Vienna June 2014 Control Systems Presenter: Calvin Inabinett

Systems View – Control System

IADC ART Workshop Vienna June 2014 Control Systems Presenter: Calvin Inabinett

Current Situation - Control Systems • Most Drilling Control Systems today are fully preprogrammed and act repeatedly based on defined input and known states. • Drilling control systems of today are designed around the human operator. • Human is a sensor • Human interprets sensor readouts and deciding actions.

• Automation is primarily through mechanization IADC ART Workshop Vienna June 2014 Control Systems Presenter: Calvin Inabinett

Current State of the Art • Bit/BHA Vibration detection and mitigation • Drilling optimization • Mathematical models or down-hole measurements for downhole conditions • ROP optimization (through improved WOB)

IADC ART Workshop Vienna June 2014 Control Systems Presenter: Calvin Inabinett

Barriers/Challenges

• New Technology is not the main barrier. It is the holistic approach to this which is the challenge. • Validation of the system. • Levels of automation • There is still a challenge to design a control system to manage the drilling process vs. managing drilling equipment. • Orchestration of different capabilities is a challenge. • Hard to implement multi-dimensional aspects of drilling • Algorithm challenge: Solve one-dimensional challenges i.e. Vibration, but still not Vibration + Pressure Management, where there are several existing (and sometimes conflicting) goals at the same time.

• Knowledge of how to determine the health and operating conditions of all system machines and equipment is needed to build control system intelligence. IADC ART Workshop Vienna June 2014 Control System Presenter: Calvin Inabinett

Levels of Automation – Internal to System

Today

Future?

http://www.defenseinnovationmarketplace.mil/resources/UnmannedSystemsInt egratedRoadmapFY2011.pdf

IADC ART Workshop Vienna June 2014 Control Systems Presenter: Calvin Inabinett

Level of Automation – Context Human Interaction

Today

Future?

Levels of Automation (Parasuraman, R., T. B. Sheridan and C. D. Wickens (2000). "A Model for Types and Levels of Human Interaction with Automation." IEEE Transactions on Systems, Man, and Cybernetics 30(3): 286-297.)

IADC ART Workshop Vienna June 2014 Control Systems Presenter: Calvin Inabinett

Well plan integration current versus future FUTURE

Today IADC ART Workshop Vienna June 2014 Control Systems Presenter: Calvin Inabinett

Way Ahead

• Extend Control Systems beyond mechanization into Automation • Autonomy depends on • Control equipment capability • Human interaction perspective

• Use Cases: The level of automation possible to achieve will depend on the understanding of all the nominal and off-nominal scenarios to be understood and factored into the system design • Environmental • Operational • Situational conditions IADC ART Workshop Vienna June 2014 Control System Presenter: Calvin Inabinett

Notional Roadmap 2015

2016

2017

2018

2019

2020

2021

2022

2023

2024

2025+

Stringent Verification and Validation Systems

Technology

Systems Modeling (SySML)

DRAFT

Control System

Use Case Databases

Fault Tolerance

Capability

Robust Decision Making Deterministic Systems

Environmental Conditions Monitoring Operational Conditions Monitoring

IADC ART Workshop Vienna June 2014 Control System Presenter: Calvin Inabinett