Participation in DSA-R Challenges

If you wish to participate in one of the challenge teams,

send the following information to either of the e-mail

addresses below:

Drilling

Systems

Automation

Roadmap

DSA-R

Foundation.

Development.

Implementation.

dsaroadmap@spemail.org

dsaroadmap@iadc.org

http://connect.spe.org/DSARoadmap

Challenge Development Teams The DSA-R committee identified eight technology / business

challenges that define the scope of DSA development required to

achieve the vision for drilling systems automation. These chal-

lenges are all interdependent with multiple interfaces. In February

2014, the committee launched teams to define the way ahead for

each challenge. The challenges are:

Systems Architecture — John de Wardt

defines integration and physical interoperability of the drilling

system, including prime sub-systems, and includes the hierarchy

of workflows, interfaces, definition of states, and other aspects

that enable system functionality.

Communications — Moray Laing

addresses links among the downhole, surface, remote operating

centers, and distributed experts, in addition to standards for

common protocols and interoperability, deterministic systems for

hardware control, and secure data transport at all levels.

Instrumentation & Measurement Systems — John Macpher-

son

defines the requirements for delivering comprehensive, reliable,

quality measurements of the downhole, and surface operations in

a timely manner for DSA.

Drilling Machines and Equipment — Robin Macmillan

includes a wide range of surface and downhole drilling equipment

and robotics that are highly mechanized and semi-autonomous.

Control Systems — Jens Ingvald Ornaes

focusses on downhole, surface, and remote systems directed at

creating the wellbore and delivering various levels of automation

from monitoring through advisory control to autonomous sys-

tems.

Simulation Systems and Modelling — Blaine Dow

covers planning, real-time, offline, remote and post-well model-

ing, and simulation tools and systems.

Human Systems Integration — Amanda DiFiore

addresses the interaction of automation systems with humans

and mode issues including human displays, human machine

interfaces, role competencies, training, and distributed and de-

centralized control.

Industry Standards and Certification — Mark Anderson

identifies available and required standards and regulations that

define the operations of automation as well as current and future

impacts that can define the ultimate future of DSA.

A cross industry initiative to guide

the development of drilling

systems automation

Copyright © DSA Roadmap Initiative, Jan 2015

The Vision stretches the imagination In 2025, well plans are uploaded into an interoperable drilling

system that automatically delivers a quality well bore into the

best geological location, installs the casing and zonal isolation

according to plan, installs the completion system according to

program and updates remote operators and experts in real time

to changes in the situation identifying potential paths for suc-

cessful control input from the experts.

Deep, complex wells will rely more heavily on centers of excel-

lence onsite and remote to provide real time and near real time

updates. Routine multiple wells will rely on remote operations

A strong active committee Leadership — This initiative is led by Program Manager: John de

Wardt (DE WARDT AND COMPANY), with support from Deputy

Program Manager Ed Tovar (InTechSys).

Committee — The committee covers the spectrum of expertise

envisaged in the roadmapping initiative including key players

from brand name companies. Members: Mark Andersen (Shell),

Eric Cayeux (IRIS), Amanda DiFiore (QinetiQ), Blaine Dow

(Schlumberger), Clay Flannigan (SWRI), Slim Hbaieb

(Schlumberger), Calvin Inabinett (Aerospace Rocketdyne), Moray

Laing (SAS / SPE DSATS), Terry Loftis (Transocean / IADC ART),

Robin Macmillan (NOV), John Macpherson (Baker Hughes / SPE

DSATS), Chris Mailey (AUVSI), Bob Moran (Halliburton), Randy

Mutch (Ensign), Lindsay Voss (AUVSI), Mario Zamora (MI Swaco).

Advisors — significant standing and history in automation sys-

tems transformations. John Berra — Past Chairman Emerson

Process Management; Eric Nettleton — formerly Rio Tinto.

Affiliates — Multiple institutions are joined this endeavor though

affiliation creating a broad footprint of connectivity. Currently

affiliated to SPE [DSATS], IADC [ART] and AUVSI.

Challenge Development Teams — Committee members are lead-

ing these teams, they include a larger cross section of expertise

bringing immense fire power to this process. The teams provide

direct input to develop the roadmap challenges. Information to

join is included on back page.

Needs have been identified The oil and gas industry is fragmented in structure creating a

difficult environment in which to adopt industrial automation.

There is a degree of fear over the application of automation

including a lack of understanding of what it is, a lack of definition

on how it will function, minimal rewards for implementation and

the threat to employment of individuals leading to lost revenues.

Furthermore, the managers who control the investment in new

DSA technology and business processes have no clear description

of what it is and how it can deliver value to them.

This roadmap will support a consensus on a set of needs leading

to the developments required to satisfy those needs; it will pro-

vide a mechanism to help forecast how these developments will

progress and provide a framework to coordinate between dispar-

ate players. It will enable non-oil and gas industry players with

applicable expertise to envision how they can contribute to the

implementation of drilling systems automation.

Scope of Drilling Systems Automation Full cycle from spud to well on stream – rig up of rig and services

through rig down. Offshore starts with establish well head through

to rig release.

System inputs include well planning and risk assessment; earth

model & pore / frac gradient management: interaction with deci-

sion making onsite and remote.

Instrumented system that enables the application of human cen-

tered automation to advanced processing of data (prediction,

modeling, analytics, anomaly detection,…) enabling improved deci-

sion making with human integration.