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Page 1: The Digital Oilfield and Integrated Operations: Maximizing ...figas.org/v7/wp-content/uploads/...The-Digital-Oilfield-and-integrated-operations-min.pdfThe Digital Oilfield and Integrated
Page 2: The Digital Oilfield and Integrated Operations: Maximizing ...figas.org/v7/wp-content/uploads/...The-Digital-Oilfield-and-integrated-operations-min.pdfThe Digital Oilfield and Integrated

The Digital Oilfield and Integrated Operations: Maximizing Values from Online Data

Jose M. Donoso, Schlumberger – SIS Latin America Business Manager Tajira, Bolivia November 10, 2016

Copyright © 2016 Schlumberger. All rights reserved. *Mark of Schlumberger. Other company, product, and service names are the properties of their respective owners.

Page 3: The Digital Oilfield and Integrated Operations: Maximizing ...figas.org/v7/wp-content/uploads/...The-Digital-Oilfield-and-integrated-operations-min.pdfThe Digital Oilfield and Integrated

SCADA

Measurementandcontrol

Communica4ons

Produc4onEngineering ReservoirEngineering

Opera4ons

Collabora4on

So=ware

Historiansanddatamanagement

DOF-IO: Supports Decision Making A System of Integrated Components

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The Digital Oilfield (DOF) and Integrated Operations (IO) can be defined as a solution that integrates technology, information, people, process, and organization, using online data to efficiently and effectively maximize oil and gas asset performance and value throughout the production life cycle.

What is DOF-IO?

Transformational value proposition: n  Unified living digital asset n  Combined insight of physics with analytics n  Single share cross-disciplinary experience n  Decision cycle compression n  Transparent asset governance

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DOF-IO: From Data to Decisions

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Wellperformance

Integrityandsafety

Fieldopera5ons

Assetmanagement

Flowassurance

Reservoirop5miza5on

Li=ingandpumping

DOF-IO: Domain Themes

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Wellperformance

Integrityandsafety

Fieldopera5ons

Assetmanagement

Flowassurance

Reservoirop5miza5on

Li=ingandpumping

Monitor and diagnose, allocation losses,

rate estimation, and transient analysis

Corrosion, erosion, leak detection, vibration, wear and tear, sand avoidance,

and maintenance Delivery assurance,

forecasting, scheduling, blending, nominations,

well routing, choke optimization, and system

management

Equipment surveillance, field operations,

pigging, ramp up, and virtual flow metering

Hydrates, wax, scale, asphaltenes, cool down,

and inhibitors

Pressure support, reservoir sweep, injection, flooding, water, gas, steam-assisted

gravity drainage, water-alternating gas cycling,

and zonal control

Monitor and optimize ESP, gas lift, progressing cavity pump (PCP), sucker rod

pump (SRP), subsea booster, and other pumps

DOF-IO: Domain Themes

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Integrityandsafety

Fieldopera5ons

Li=ingandpumping

•  Equipment condition monitoring

•  Leak detection

•  Fracture and drilling operations •  Production operations: solids,

pigging, and ramp up • Metering

•  Equipment surveillance •  ESP, gas lift, PCP, SRP •  Subsea booster pumps • Compressors

Fast-Loop Processes Production operations

PRODcast Vx* production testing monitoring software

OLGA* dynamic multiphase flow simulator

StimMAP* hydraulic fracturing mapping service

Li=Watcher*

Condition monitoring

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Medium Loop Workflows

Assetmanagement

Flowassurance

Wellperformance

• Monitor and diagnose •  Allocation and losses • Rate estimation • Optimize stimulation

• Optimize chokes and lift • Condition-based maintenance • Nominations and delivery assurance •  Blending and well routing

•  Transient and thermal analysis •  Look-ahead, cool down, and

inhibitors: hydrates, wax, scale

OLGA* simulator

Slugging and surging

Corrosion

InSitu* measurements

ACTive* live downhole coiled tubing services

FRIEND* Remote Surveillance and Diagnostic System

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Long-Loop Workflows

•  Pressure support •  Sweep: injection, SAGD, water-

alternating-gas zonal control • Candidate selection •  Integrated optimization

Assetmanagement

Simula5on,economics

Reservoirmeasurements

•  Forecasting and planning •  Fluid and geomechanics • CAPEX investment •  FDP and infill drilling •  Scheduling

•  Pressure transient analysis (PTA)

•  Time-lapse and vertical seismic profile (VSP)

• Crosswell and tracers

Drawdown management: Coning and breakthrough

Integrated Asset Modeling*

Geomechanics Gas Condensate Banking

Water-alternating- gas (WAG) PTA

Manara* production and reservoir management system

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Revenue: Deferred production

Revenue: Accelerate production

Revenue: Recovery

OPEX: Efficiency and productivity

Safety: Penalty avoidance

CAPEX: Investment

Operational excellence

§  Exception-based surveillance: detect losses quickly

§  Unplanned downtime §  Problem prediction: hydrate and wax §  Maintenance disruptions

§  Optimize transient operations §  Optimize resource use §  Understand operational constraints

§  EOR, flooding, and thermal §  Pressure support and voidage §  Zonal sweep and drainage §  Extend field economic limit

§  Automation §  Field crew size §  Maintenance cost §  Chemical inventory §  Gas volume

§  Shared experts §  Mobile data solutions §  Power consumption §  Rig time §  Logistics

§  HSE incidents §  Contract penalties

§  Travel §  Personnel

§  Number of wells §  Surface equipment §  Capacity planning

§  Equipment run life §  Loss of capital equipment §  Supply chain

§  Standardized workflows §  Best practices §  Knowledge capture §  Open and interoperable systems

§  Collaborative teams §  Reusable advisories §  Reduced uncertainty

VALUE: CAPEX – OPEX ± Intangibles

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Monitoring and operational surveillance

Processfacili5es

Surfacenetwork

Reservoir

Wells

Mul5disciplinarycollabora5on

Modeling, analysis, and optimization

Distributed Teams for Decision Making: Collaborative Remote Operations

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Organizational Capability: People Skills and Operational Excellence

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LevelofAutoma4on Descrip4onofAutoma4on

1 Offersnoassistance;thehumanmusttakealldecisionsandac5ons

2 Offersacompletesetofdecision/ac5onalterna5ves

3 Narrowstheselec5ondowntoafew

4 Suggestsonealterna5ve

5 Executesthesugges5onifthehumanapproves

6 Allowsthehumanarestricted5metovetobeforeautoma5cexecu5on

7 Executesautoma5cally,theninformsthehumans

8 Informsthehumanonlyifasked

9 Informsthehumanonlyifit,thecomputerdecidesto

10 Decideseverythingandactsautonomously,ignoringthehuman

*Parasuraman, R., Sheridan, T.B., & Wickens, C.D. (2000). “A model for types and levels of human interaction with automation”.

Food for Thought: Automation Stepping Stones to Autonomy

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Gracias !

Copyright © 2016 Schlumberger. All rights reserved. *Mark of Schlumberger. Other company, product, and service names are the properties of their respective owners.