Saudi Aramco Intelligent Field Development Approach: Building the Surveillance Layer

Al-Dhubaib, Tofig A.; Issaka, M.B.; Barghouty, Murad; Al-Mubarak, Saeed Mohammed; Dowais, Ali H.; Shenqiti, Mohammad S.; Ansari, Najmul

doi:10.2118/112106-ms

Cited by 25 publications

(7 citation statements)

References 5 publications

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“…Additionally, service level agreements and services such as help desk and I-Field Support were identified and are being implemented. All of these developments form a key component in the development of the I-Field Surveillance Layer (Al-Dhubaib et al, 2008); building the foundation of Saudi Aramco's I-Field architecture.…”

Section: Methodsmentioning

confidence: 99%

“…These two fields served as a pilot and test ground for capturing lessons learned and for re-defining users' and I-Field general requirements. The results of this experience led to the development of several I-Field guidelines and specifications and to the implementation of many components and elements of the surveillance layer (Al-Dhubaib et al, 2008). This paper presents Saudi Aramco's experience and methodology of assessing field-to-desktop data acquisition and delivery infrastructure of the pilot projects' fields.…”

Section: Introductionmentioning

confidence: 99%

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I-Field Data Acquisition and Delivery Infrastructure: Case Study

et al. 2008

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Successful intelligent field (I-Field) implementation relies on a robust real time field to desktop data acquisition and delivery system. Such systems should have the bandwidth and the resilience to meet I-Field data acquisition and delivery requirements including data type, frequency, resolution, security, integrity, quality and reliability. The system must also have a design that safeguards against loss of data.Saudi Aramco's earliest I-Field implementation projects were at Qatif and Haradh. These projects were instrumental in developing Saudi Aramco I-Field data acquisition and delivery requirements for reservoir and production engineers. The projects revealed limitations and challenges in the data acquisition and delivery infrastructure. Composed of several stages of interconnected systems supported by multiple organizations, these systems included surface and subsurface instrumentations, servers (data acquisition, control, database and applications) and various network protocols. System complexities and constraints dictated the need for developing an I-Field data acquisition and delivery infrastructure architecture that would meet Saudi Aramco's I-Field application requirements and overcome existing challenges and limitations. This paper presents Saudi Aramco's experience and methodology of assessing field-to-desktop data acquisition and delivery infrastructure of the pilot project fields. It also highlights examples of some of the inherited challenges and implementation of the newly adopted data acquisition and delivery architecture. The adopted architecture, methodology, and subsequent experience gained in overcoming these challenges now serve as a guide to further intelligent field implementation in other Saudi Aramco fields.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

I-Field Data Acquisition and Delivery Infrastructure: Case Study

et al. 2008

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“…This is achieved by integrating fields' real time data in the reservoir management business processes. The results from this integration are anticipated to increase production rates, identify opportunities for higher hydrocarbon recoveries and reduce operating costs and future capital expenditures (Al-Dhubaib, 2008). It was explained by AbdulKarim, 2010, that in the industry, integration of the various digital surface and subsurface technologies into E&P business processes has been given different names, such as: Smart fields, Intelligent Field (I-Field), Digital Oil Field of the Future (DOFOF), integrated field (I-field) and Integrated Operations (IO).…”

Section: Saudi Aramcomentioning

confidence: 99%

Integrated Operations: Value and Approach in the Oil Industry

Lima¹,

Lima²,

Quelhas³

et al. 2015

Braz. J. of Operations & Production Manag.

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Today's society is increasingly susceptible to global economic crisis. The energy is still extremely dependent on oil, whose extraction scenarios usually have great complexity. The technology in the oil industry has undergone a vertiginous development in recent times. Advances in information, data and telecommunications have been reflected in the connectivity of systems and people with tremendous impacts on improvements of operational and business decisions. In this context, came to light an important movement of Integrated Operations (IO), which has systematized the implementation of this concept in the oil and gas operators and service providers. Each company has created its program, with peculiarities and challenges. This paper, including an intensive literature search, analyzed the objectives, concepts and architectures of Integrated Operations deployments in five major operators. Through a reference framework, the differences and similarities of these models were discussed. There was also an analysis in recent bibliography in order to better understand the value for Integrated Operations.

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“…The concept of the intelligent field, which enables continuous monitoring and optimization of individual wells and overall reservoir performance, has been introduced to enhance oil recovery, improve health, safety and environment (HSE), and reduce operation cost. So far the project construction has been completed and CO 2 will be ready for injection by 2013 (Al-Dhubaib et al, 2008;PME, 2011).…”

Section: • Ccs In Saudi Aramcomentioning

confidence: 99%