i - Field Alternativas para entenderlo, habilitarlo, y saber que poder esperar.

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i - Field Alternativas para entenderlo, habilitarlo, y saber que poder esperar. Pedro Blondet SIS Production BDM Schlumberger. EL ANALISIS EN “TIEMPO-REAL” ME INDICA AQUE ESTAMOS BIEN…. Definiciones varias. - PowerPoint PPT Presentation

Transcript of i - Field Alternativas para entenderlo, habilitarlo, y saber que poder esperar.

  • i - Field Alternativas para entenderlo, habilitarlo, y saber que poder esperar.Pedro BlondetSIS Production BDM Schlumberger

  • Definiciones variasOfrece un Campo instrumentado y automatizado que usa Tecnologa de Informacin para controlar y monitorear remotamente procesos en un entorno colaborativo para reducir el costo de produccin y maximizar el valor de la vida del campo. Conecta gente, procesos y tecnologa en un proceso operativo como parte de un sistema seguro e integrado, permitiendo capturar, analizar y usar informacin de modo que incremente el valor del negocio cuando el proceso siga aun en progreso.Que esperar de iField?:Transformar el nivel bsico de negocio para mejorar produccin y reducir costos mediante:Optimizacin de procesos mltiples.Integracin a travs del sistema.Alto nivel de procesos automatizadosOperacin en forma remota y acceso a colaboracin global.Balanceando tomas de decisin automtica & manual.

    eField, iField, El Campo Inteligente, El Campo del Futuro, El Campo Digital, etc

  • Donde esperar mejoras

  • Por que son importantes los i -Fields?

  • Donde esta el valor en el negocio?i-Field da Valor en el negocio. $ =

  • Plan de ImplementacinPor tipo de ActivoPrograma de ImplementationTodos ya han empezado

  • Como maduramos este concepto?Modelo de ReservorioPlan de desarrollo del campoImplementacin de CampoOperacin de ProduccinOP(das semanas)Identificacin de objetivo Actualiza Modelo & Plan Ejecucin del planMonitoreo del plan High-rateOR(meses-aosSlow loop Time-lapseOperacin de Reservorio Monitoreo de dataAcelerando los procesos optimizados a nivel de reservorio y de produccin con soluciones hechas a la medida de los requerimientos de nuestros clientes.

  • Enfoque de procesos en un i -FieldNivel 2Anlisis y diseo de Ingeniera de Produccin:Visualizar, analizar, predecir, y recomendarNivel 3Gerenciamiento de Campo:Integrar, modelar, analizar, predecir, disear y optimizarNivel 1Operaciones de Produccin:Recolectar, transmitir, almacenar, visualizar y reportar datos de E&P

  • Procesos en un i -FieldOperaciones de Produccin

    Datos deAlta Frecuencia

    Datos de Operaciones

    Datos deProyectos

    Datos Corporativos Operaciones de Produccin

  • Field Operations ManagerRespuesta rpidas y segura como lo demanda la operacin de campo. Funciones bsicas del DatoRecoleccin. Acondicionamiento. Almacenamiento .Anlisis.Reportes.

  • Procesos en un i -Field Ingeniera de Produccin

    Datos deAlta Frecuencia

    Datos de Operaciones

    Datos deProyectos

    Datos Corporativos Operaciones de Produccin

  • Field Performance AnalyzerEvala rendimiento del campo contra metas ( KPI). Ventajas:Dato en su contextoAcceso eficiente.Herramientas de anlisisRendimiento del CampoRendimiento del pozo

  • Well and Surface ModelerUtiliza modelos de completamiento de pozo y tuberas de superficie para diagnsticos y diseo. Ventajas:Simulacin de flujo.Anlisis y diseo Well modelingAnlisis NodalArtificial liftPipeline & process

  • Procesos en un i -Field Gerenciamiento del ActivoProduction Data Management

    High Frequency Data

    Operational Data

    Project Data

    Datos CorporativosProduction Data ManagementOperaciones de Produccin

    Production Data Management

  • Integrated Asset ModelerPlan para el futuro con mas opciones para el Activo.

    VentajasModelos totalmente acoplados.Escenarios de optimizacin. Decisiones de riesgo controlado.

  • Ofrecimiento de i -Field fragmentado segn Procesos habilitados por SchlumbergerProduction Data Management

    High Frequency Data

    Operational Data

    Project Data

    Datos CorporativosProduction Data ManagementOperaciones de Produccin

    Production Data Management

  • i -Field MoOperaciones de CampoemRecol.DatosModelosMetas deProduccinKPIEdicin de DatosVizual.deDatosAnlisis&ReportesfrecuenciatiempoNoSiDBActivoOperacin de CampoIngenieradeProduccinGerenciamientodelActivoAccionesDiagnosticoLimitesRetroalimentacin

  • Consultora por DominioDominio del NegocioEstrategia y organizacin. Experiencia en Operaciones. Implementacin de tecnologa.

    Dominio de la ProduccinExperiencia en procesosServicio de Especialistas

  • ResumenLas condiciones econmicas han cambiado el valor en los portafolios. Enfoque en incremento del factor de recuperacin Enfoque en optimizacin de produccin.Enfoque en costos. Los casos de negocio son reales y ya se ve accin.La tecnologa tiene que combinarse con procesos, gente y reorganizacin corporativa.Existen productos, servicios y experiencia disponibles. Schlumberger Information Solutions (SIS) esta posicionando la familia de productos Avocet como la alternativa de aplicaciones para produccin construida en base a los requerimientos de nuestros clientes.

  • Gracias.

    The Production Solutions software offering enables optimisation through 4 key workflows:1. The first workflow is Data Management. We begin by focusing on real-time, high frequency data followed by operational data, corporate data and finally project data. Through data screening and filtering, only required data is promoted upward as necessary. This data management workflow supports the next three key workflows. SIS Production Data Management is pertinent in every phase of data management, both for collection, storage, and presentation of all key data in the E&P lifecycle.2. The second workflow is Production Operations. We utilize real time data to make real-time optimisation and production management decisions through analysis from our best-in-class engineering analysis tools. This workflow utilizes field data used in a short-term life cycle.SIS Integrated Production Surveillance which truly makes real-time data accessible and usable, presenting it to our customers through the desktop and efficiently coupling this information with rigorous engineering tools.3. The third workflow is Production Engineering. Through analysis of acquired data, we determine work over and remediation candidates. Flow assurance problems are identified and alleviated before causing damage to production systems. In addition, operators are able to determine optimum compression, choke, separation, and general process settings for optimum production. This workflow utilizes field data used in a medium-term life cycle.SIS Production Engineers Desktop enables our customers to efficiently work in these situations, mitigating production decline and enhancing existing production.4. The fourth workflow is either Facilities Engineering or Front-End Engineering & Design. Facilities Engineers work to manage the entire production system and determine how to further develop a field. During Front-end Engineering, we plan on how a field will be developed, what infrastructure will be necessary, and what the lifetime production forecast for the field should be.SIS Integrated Asset Model solution addresses these workflows. Schlumberger Information Solutions has developed the industrys only fully comprehensive production system modelling system. We utilize our best in class 3-D reservoir simulation (ECLIPSE) dynamically coupled to the industrys leading well bore and surface modelling package (PIPESIM). In addition, this multiphase flow-modelling package is dynamically linked with a best-in-class process-system model (HYSYS). This coupled model enables us to take a full-field approach to production management. Utilizing data and decisions made in the above short-term and medium-term workflows, we determine the best development strategy for your field. This fourth workflow utilizes field data used in a long-term life cycle.

    The Production Solutions software offering enables optimisation through 4 key workflows:1. The first workflow is Data Management. We begin by focusing on real-time, high frequency data followed by operational data, corporate data and finally project data. Through data screening and filtering, only required data is promoted upward as necessary. This data management workflow supports the next three key workflows. SIS Production Data Management is pertinent in every phase of data management, both for collection, storage, and presentation of all key data in the E&P lifecycle.2. The second workflow is Production Operations. We utilize real time data to make real-time optimisation and production management decisions through analysis from our best-in-class engineering analysis tools. This workflow utilizes field data used in a short-term life cycle.SIS Integrated Production Surveillance which truly makes real-time data accessible and usable, presenting it to our customers through the desktop and efficiently coupling this information with rigorous engineering tools.3. The third workflow is Production Engineering. Through analysis of acquired data, we determine work over and remediation candidates. Flow assurance problems are identified and alleviated before causing damage to production systems. In addition, operators are able to determine optimum compression, choke, separation, and general process settings for optimum production. This workflow utilizes field data used in a medium-term life cycle.SIS Production Engineers Desktop enables our customers to efficiently work in these situations, mitigating production decline and enhancing existing production.4. The fourth workflow is either Facilities Engineering or Front-End Engineering & Design. Facilities Engineers work to manage the entire production system and determine how to further develop a field. During Front-end Engineering, we plan on how a field will be developed, what infrastructure will be necessary, and what the lifetime production forecast for the field should be.SIS Integrated Asset Model solution addresses these workflows. Schlumberger Information Solutions has developed the industrys only fully comprehensive production system modelling system. We utilize our best in class 3-D reservoir simulation (ECLIPSE) dynamically coupled to the industrys leading well bore and surface modelling package (PIPESIM). In addition, this multiphase flow-modelling package is dynamically linked with a best-in-class process-system model (HYSYS). This coupled model enables us to take a full-field approach to production management. Utilizing data and decisions made in the above short-term and medium-term workflows, we determine the best development strategy for your field. This fourth workflow utilizes field data used in a long-term life cycle.

    The Production Solutions software offering enables optimisation through 4 key workflows:1. The first workflow is Data Management. We begin by focusing on real-time, high frequency data followed by operational data, corporate data and finally project data. Through data screening and filtering, only required data is promoted upward as necessary. This data management workflow supports the next three key workflows. SIS Production Data Management is pertinent in every phase of data management, both for collection, storage, and presentation of all key data in the E&P lifecycle.2. The second workflow is Production Operations. We utilize real time data to make real-time optimisation and production management decisions through analysis from our best-in-class engineering analysis tools. This workflow utilizes field data used in a short-term life cycle.SIS Integrated Production Surveillance which truly makes real-time data accessible and usable, presenting it to our customers through the desktop and efficiently coupling this information with rigorous engineering tools.3. The third workflow is Production Engineering. Through analysis of acquired data, we determine work over and remediation candidates. Flow assurance problems are identified and alleviated before causing damage to production systems. In addition, operators are able to determine optimum compression, choke, separation, and general process settings for optimum production. This workflow utilizes field data used in a medium-term life cycle.SIS Production Engineers Desktop enables our customers to efficiently work in these situations, mitigating production decline and enhancing existing production.4. The fourth workflow is either Facilities Engineering or Front-End Engineering & Design. Facilities Engineers work to manage the entire production system and determine how to further develop a field. During Front-end Engineering, we plan on how a field will be developed, what infrastructure will be necessary, and what the lifetime production forecast for the field should be.SIS Integrated Asset Model solution addresses these workflows. Schlumberger Information Solutions has developed the industrys only fully comprehensive production system modelling system. We utilize our best in class 3-D reservoir simulation (ECLIPSE) dynamically coupled to the industrys leading well bore and surface modelling package (PIPESIM). In addition, this multiphase flow-modelling package is dynamically linked with a best-in-class process-system model (HYSYS). This coupled model enables us to take a full-field approach to production management. Utilizing data and decisions made in the above short-term and medium-term workflows, we determine the best development strategy for your field. This fourth workflow utilizes field data used in a long-term life cycle.

    SIS has organized their Production products and services into 4 key workflow solutions supported by a solid foundation in production data Information Management and Infrastructure Services:1. The first workflow solution is Field Operations Manager. Real time data is collected and processed along with other disparate data which allows Field operations personnel to respond to operational demands quickly and with confidence. Everyone has immediate access to the same information which reduces the time to make decisions on key operational activities.

    2. The second workflow solution is Field Performance Analyzer. Data is transformed to information and actionable decisions by Production engineers through rapid analysis of field performance indicators. Underperforming regions in a field are identified and highlighted for detailed diagnosis to determine work over and remediation candidates.

    3. The third workflow solution is Well and Surface Modeler. Detailed diagnostics are performed by Production and Surface Facility engineers to evaluate the source of problems identified at the Field level. Rigorous model-based simulations are compared to actual production and operational data to identify performance gaps at the reservoir, well, and surface facility level. Solutions are then designed and evaluating based on economic criteria defined for that activity.

    4. The fourth workflow solution is Integrated Asset Modeler. Detailed reservoir, well, and surface facility models can be integrated to model complex system behaviour over the entire producing system. Entire asset teams can then work together to lower the cycle time of evaluating different field development planning scenarios. Fully coupled models may provide new options or solutions to emerge as the different domain experts work in parallel to evaluate different production optimization schemes.