SPE Distinguished Lecturer Program

Primary funding is provided by

The SPE Foundation through member donations and a contribution from Offshore Europe

The Society is grateful to those companies that allow their professionals to serve as lecturers

Additional support provided by AIME Society of Petroleum Engineers Distinguished Lecturer Program www.spe.org/dl

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Putting the Focus on Data For Better Decisions, Higher

Productivity and Greater Insight

Jim Crompton Chevron Global Upstream

Society of Petroleum Engineers Distinguished Lecturer Program www.spe.org/dl

IM Moment: Lake Peigneur •  History: The lake was a 3 meter deep freshwater lake, popular with sportsmen until

an unusual man-made disaster on November 20, 1980 changed everything.

•  Where: located in Louisiana, 9 miles west of New Iberia, near the northernmost tip of Vermillion Bay

•  What Happened: The Diamond Crystal Salt Co. operated the Jefferson Island salt mine under the lake. A Texaco rig drilled from the lake but a miscalculation of the drill path, the 14 inch well bore entered the third level of the mine, starting a chain of events which turned the freshwater lake into a salt water lake with a deep hole.

•  The lake drained into the hole, expanding the size of the hole filling the caverns left by the removal of the salt. The resulting whirlpool sucked in the drilling rig, eleven barges and 65 acres of the surrounding terrain. So much water drained into the caverns that the flow of the Delcambre Canal was reversed making the canal a temporary inlet. The backflow created the tallest waterfall ever in the state of Louisiana at 50m as the lake refilled with salt water from Vermillion Bay. Air escaping from the mine created 120 m high geysers up through the mineshafts.

•  There were no injuries and no human lives lost. All 55 employees of the mine were able to escape as well as the drilling crew and one local fisherman who was able to drive his small boat to shore before it was caught in the whirlpool.

Outline

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•  Situation Overview

•  Challenges/Opportunities

•  Information Management

•  Information Pipeline, Architecture

•  Processes and Frameworks

•  The Return to Sanity

•  Why? and Why Now?

•  Conclusion/ Key Takeaways

The Opportunity •  Time: Need to incorporate relevant time

data •  Productivity: Significant time is spent

looking for data •  Trust : Lack of consistent definitions •  Impact: Need to share data with others •  Perspective: Broad look at asset

performance (wells, reservoir & facilities) 6

Business Challenges

30 to 60% of time Looking for data Verifying data accuracy Formatting data for use

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Real-time Calculator

IFM

FPSO

PrivatePublic

Matrikon WPM

Citrix

NetAppApp Server

Cluster (temp space)

Energy Components

EnergyComponentsApplication

Enterprise 1

PCReserves

CommercialData

FRADE Upstream EnvironmentProposed Diagram

19 July 2007

SOR for volumes, downtime, field values, allocated production, etc.

RAPID_____________________

RMIS

DCS Siemens Historian

SCADA Subset,Tagged Data

Identify as Frade data

Raw well test data, Cleaned field measurements,

equipment state, etc.

View ofAllocated & Theoretical Production

Volumes

Production allocation staff

Seismens Historian

Offshore

OPC

WellViewAccess db

(Rig)

Spotfire

PI HistorianOnshore

Downhole pressurevs. time

Rig

PEAK

Cleansed data,Validatedwell tests,production

CVS File (back-up/QC)

Web service

Oracle Database

Legend

GIL/Windows

UNIX/Linux

MBAL

GAP

PROSPER

IWM/CAC

RMIS

CDR

OpenWorksWorking Projects

WellMaster

WellMaster

Dynamic link

Well master

ReservoirName

ManualWell logs

(Chevron connect)May not have

Well , well bore, Completion Master Info

Well status

Completion Dialog,Completion UWI

Future: come fromWellView

ComparisonLink (QC)

doesn’t exist

DSS

FutureWell master

UWI

Well Logs (Chevron connect)

ManualWell , well bore,

Master Info

Well Logs (Paradigm & Chevron connect) GeoConnect

CHEARS

Frontsim

/CHAP

ManualLoad through flat files

OpenWorks

GOCAD

StratWorks

EasyCopy

PNS

Plot serverVoxelgeo

Strata

EDM

Real Time Data

Wellview

Real Time Data

GOCAD models

Interface link

Compass

manual

Doesn’t exist

WITSMLWell Information Transfer

Standard Markup Language

Corelab RAPID team

SAMSimultaneous

Activity Monitor

Interact(Rig)

MWD

Access

SyncHost

Nightly 2 Way SynchNon Real Time

Data

interface

Stress Check

Well Plan

Wellview

Casing Seat

Manual export

Wellview

Real-timeLWD, MWD

Real-timeDrilling data

Well costs

view

Canvas, etc.

GeologSOR for raw recorded archival log data

OpenWorksMasterFinal

Picks,Curves

Openwire

Citrix(redundancy)

Wellview Web

WellCAT

Redbook

Pore pressure

TecplotRS

FantoftSubSea

Simulator

sync

DecisionSpace

SCADA Subset,Tagged Data

Training

HMI

Training

HMI

GIL PC

Metered rates, pressures,

temperatures

GIL PCGIL PC

GIL PC

DrillingEngineer on Rig

LogMart

Chevron Toolkit

/VEND

/UTIL

Out of ETC Scope

SORs for non-operationWell data

SOR for final reserves data (located in San Ramon, CA)

Digital lab report

SOR for AFEs, contracts, financial (located in Houston)

SOR for cores and rock properties

SOR for production & injection profiles, allocations, predictions;

injection & fluid profiles

ResolutionAlerts & EventsMetadata

Well mode, production events

Well , well bore, Completion Master Info

Saphire

TopazeProduction Transient Analysis

Resolution data modelProcessMonitor

ProcessNet

ProcessGuard

Desktop Historian

Welltest, daily allocations, target rates

Well Rates, ValidatedWell test

“Cleaned” Data

“Cleaned” DataValidated well

tests

EC Test

Upgrades

SOR for well master data, master picks, log curvesRead-only

SOR for UWI,

interface

ManualImport/export

models

GraphicalField life

SageGraphical

Input – files

Support

SeisWorks

Drilling planning, probabilistic estimation

Near real-time data transfer tool

Editing Utility

RMISinterface

interface

SOR for drilling, operations, surface equipment

Paradigm Name Server

Tracks project location & access

GeoProbe

Firewall

manual

ManualExport

Productiondata

Seismic inversion

Integrated seismic interpretation & analysis

Collect & mgn well bore data

view

ManualWell Master

ComparisonLink (QC)

ManualWell Master

ComparisonLink (QC)

doesn’t exist

ComparisonLink (QC)

doesn’t exist

ComparisonLink (QC)

doesn’t exist

Edge, FV, Surfop

manual

SOR for subset of Scada tags, both raw and cleasned

SOR for working project data, picks, log curves

Graphical operations for maps, curves, logs, zones, and wellbores

Data analysis

Diamant

Material Balance, production profiles

Well performance, design & optimaztion

Model reservoir & production systems

Pressure Transient Ahalysis

Operator real-time Scada data

Near real-time Scada data

on Rig data entry of drilling information

Schlumberger provided real-time well site data

Near real-time well site info

3D Volume Interpretation

Rio Office

Off location

Frade Project Implementation Team: Jessica Hines, David Percifield, Don Hagan, Barbara Eymard, Carl Bailey, Jason Voss, David Honeycutt

Technical Challenges •  Information explosion • Process failures • Hidden solutions

• Many masters of data • Ongoing support costs • Communication

How did we end up here?

•  Downsizing and merger activity •  Consequences of ‘Best of Breed’

technology •  Powerful desktop tools •  Legacy solutions never die, until the user

leaves •  Data explosion •  Absence of a widely deployed standards

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We Need to See the Bigger Picture

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A City Plan is to Enterprise Architecture…

•  Zoning •  Utilities •  Roads •  Services

As a Blueprint is to Solution Architecture •  Foundation •  Framing, sheeting •  Plumbing, Wiring

Make Decisions

Collect Data Gather & Analyze

The Information Pipeline

Oil Field Automation

Information Overload

Capability for Modeling & Simulations

•  Real time data collection

•  Fully Instrumented Facilities

•  Data Access, formatting, quality control

•  Lack of consistent master data

•  Lack of information exchange standards

•  More detailed models (earth, reservoir, facilities, economic, full asset simulation) for simulation, modeling & visualization

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Information Architecture

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•  Information has an identified System of Record

•  The information model supports sharing and integration

•  Adequate data quality •  Information delivered

through Service Oriented Architecture

How Information Flows

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Return to Sanity • Start with key decisions,

understand the work process

• Establish information quality assurance and standard systems of record

• Establish data governance • Use data integration and

information visualization framework

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Process and Framework

• Planning • Quality improvements •  Identify opportunities to increase

value • Establishing standards for quality,

ownership, and exchange • Demonstrate the information value

chain for KEY information 15

Model of a Workflow

Data Governance Requires organization, process and technology changes that span both IT and business in the management of data.

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• Clear delineation of responsibility for producers and consumers (people, app)

• Documented processes and cross-functional (line of business) authority

Data governance

and stewardship

model

• Can’t govern what you can’t see – need measures

• Measures are consistent, quantitative, and not arbitrary

Data quality controls

framework

• Control measures properly stored and easily accessible

•  Analysis is multi-dimensional

Metadata repository

Information Quality Management

Agent of Change • Breaks down “data fortresses” • Removes data as an impediment to change and innovation • Independent of any specific software application

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The Prize: Increasing the Value of Information

•  Making data easier to find •  Providing better analysis tools •  Integrating data into standard workflows

Making data more available for decision-

making

•  Clearly identified systems of record •  Improved accuracy, increased trust Improved data quality

•  Data is stored once and re-used •  Minimize re-entry of data

Integration / Interoperability

•  Quickly respond to customer requests •  User-friendly systems

Effective operations of data management

systems 19

Why? Being good at information management may be one of last competitive advantages left •  Recognizing an exploration opportunity

•  Increasing recovery from existing reservoirs

• Meeting requirements from regulatory agencies

and partners

• Making the best decisions requires good data

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Why Now? They are Waiting for an Answer

IT Consumerization

I love Wikipedia. I want something similar here where I can find reliable information quickly.

As a new employee, I need better onboarding tools to quickly get up to speed.

As a manager, I worry that my employees use tools outside the company to discuss internal business.

I have 35 years of experience. Why don’t we create a venue where I can share my knowledge and contribute after I retire?

I want a system that will enable me to better communicate with my project team and stakeholders.

I am overwhelmed by email. We could use a better way to communicate.

IT Consumerization

Information Overload Millennials Entering the Workforce

Crew Change

Global Workforce

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Takeaways

• Our ability to collect data is growing, but our capability to use this data is constrained

• Must begin by understanding your business

processes and key decisions • Apply the principles of information architecture

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IF WE CAN TAME THE DATA MONSTER WE CAN GET BACK TO

BUSINESS

If we can survive the data deluge, we can get back to business

Conclusion

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