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  • 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.

  • SCADA

    Measurement and control

    Communica4ons

    Produc4on Engineering Reservoir Engineering

    Opera4ons

    Collabora4on

    So=ware

    Historians and data management

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

  • 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

  • DOF-IO: From Data to Decisions

  • Well performance

    Integrity and safety

    Field opera5ons

    Asset management

    Flow assurance

    Reservoir op5miza5on

    Li=ing and pumping

    DOF-IO: Domain Themes

  • Well performance

    Integrity and safety

    Field opera5ons

    Asset management

    Flow assurance

    Reservoir op5miza5on

    Li=ing and pumping

    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

  • Integrity and safety

    Field opera5ons

    Li=ing and pumping

    •  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

  • Medium Loop Workflows

    Asset management

    Flow assurance

    Well performance

    • 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

  • Long-Loop Workflows

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

    alternating-gas zonal control • Candidate selection •  Integrated optimization

    Asset management

    Simula5on, economics

    Reservoir measurements

    •  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

  • 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

  • Monitoring and operational surveillance

    Process facili5es

    Surface network

    Reservoir

    Wells

    Mul5disciplinary collabora5on

    Modeling, analysis, and optimization

    Distributed Teams for Decision Making: Collaborative Remote Operations

  • Organizational Capability: People Skills and Operational Excellence

  • Level of Automa4on Descrip4on of Automa4on

    1 Offers no assistance; the human must take all decisions and ac5ons

    2 Offers a complete set of decision/ac5on alterna5ves

    3 Narrows the selec5on down to a few

    4 Suggests one alterna5ve

    5 Executes the sugges5on if the human approves

    6 Allows the human a restricted 5me to veto before automa5c execu5on

    7 Executes automa5cally, then informs the humans

    8 Informs the human only if asked

    9 Informs the human only if it, the computer decides to

    10 Decides everything and acts autonomously, ignoring the human

    *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

  • Gracias !

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