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Integrated Operations (IO) Model for Samarang Field Conceptual Study
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Abstract
Integrated Operations (IO) was indentified as part of the redevelopment program in Samarang field. The IO framework defined was focusing on Asset Management Decision Support through increasing levels of monitoring and surveillance; fast, medium and slow loop diagnosis, transformation of operations, and optimization of asset values.
The aim of Samarang IO is to achieve the followings:
Effective and efficient working environment through streamlined and automated workflows Quality information acquisition and dissemination across the organization Collaborative expertise across multiple disciplines and locations Optimum asset value through increased production and reserve recovery
As the first step of project execution process, an IO study team was formed to carry out a conceptual study. The Samarang Integrated Operations (IO) study was conducted within the context of an Integrated Operations Model developed by Schlumberger. This model is used to frame, plan, and execute the IO Conceptual Study for Samarang.
The methodology, scope of work, and project deliverables for the conceptual study, is based on the general description of the IO model. In general the IO model describes how asset decisions will be supported by new measurements and equipment proposed for installation on existing and new platforms. It also describes how decision process will be enabled by software applications and how collaborative decision making can be improved.
An innovative parallel design approach was used to fast track the design process by integrating IO solution conceptual design in parallel to EPC FEED design for instrumentation with interface management as the main quality controller.
Upon completion of the conceptual study, a total of 2010 man-hours were logged from interviews, workshops, peer reviews and offshore survey involved interaction with different stakeholders. The extensive time invested in the data gathering has enabled the team to complete the project deliverability inclusive of some additional scope.
Title: Integrated Operations (IO) Model for Samarang Field Conceptual Study
Description:
Abstract
Integrated Operations (IO) was indentified as part of the redevelopment program in Samarang field.
The IO framework defined was focusing on Asset Management Decision Support through increasing levels of monitoring and surveillance; fast, medium and slow loop diagnosis, transformation of operations, and optimization of asset values.
The aim of Samarang IO is to achieve the followings:
Effective and efficient working environment through streamlined and automated workflows Quality information acquisition and dissemination across the organization Collaborative expertise across multiple disciplines and locations Optimum asset value through increased production and reserve recovery
As the first step of project execution process, an IO study team was formed to carry out a conceptual study.
The Samarang Integrated Operations (IO) study was conducted within the context of an Integrated Operations Model developed by Schlumberger.
This model is used to frame, plan, and execute the IO Conceptual Study for Samarang.
The methodology, scope of work, and project deliverables for the conceptual study, is based on the general description of the IO model.
In general the IO model describes how asset decisions will be supported by new measurements and equipment proposed for installation on existing and new platforms.
It also describes how decision process will be enabled by software applications and how collaborative decision making can be improved.
An innovative parallel design approach was used to fast track the design process by integrating IO solution conceptual design in parallel to EPC FEED design for instrumentation with interface management as the main quality controller.
Upon completion of the conceptual study, a total of 2010 man-hours were logged from interviews, workshops, peer reviews and offshore survey involved interaction with different stakeholders.
The extensive time invested in the data gathering has enabled the team to complete the project deliverability inclusive of some additional scope.
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