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Introductory lecture CAD 5/09/2016 Nikolay A. Eremin, professor, Contacts: ermn@list. ru Eremin. ipng. ru Introductory lecture CAD 5/09/2016 Nikolay A. Eremin, professor, Contacts: ermn@list. ru Eremin. ipng. ru http: //www. gubkin. ru/personal_sites/eremin/

Introduction Oil and gas fields are being transformed by smart workflow technology that integrates Introduction Oil and gas fields are being transformed by smart workflow technology that integrates asset simulations to accomplish systemwide tasks. This development not only produces better economic outcomes but also is changing the structure of the organizations that use it. Successful employment of this new technology is illustrated by a variety of examples ranging from revitalization of fields in the decline phase in Mexico and India, to advanced control of new assets in the North Sea. Source: [4], [8]

IT - architecture CPM – corporate performance management; BI – business intelligence; BSC – IT - architecture CPM – corporate performance management; BI – business intelligence; BSC – balanced scorecard; EKC – Enterprise Knowledge Cloud; DW – Data Warehouse; EAM – Enterprise Asset Management; PM, PIMS, DPO, DCS – Data Collection/Control System, Manufacturing Execution System (MES); SCADA, OIS, DOF – Digital Oil Field; ERP – Enterprise Resource Planning

Synergy of development of The World Ocean resources and The Space exploration The scientific Synergy of development of The World Ocean resources and The Space exploration The scientific revolution - is the formation of a new paradigm, by Thomas Samuel Kuhn The scientific - technological revolution - is a leap transition to a new level of knowledge. Paradigm (from the ancient Greek. Παράδειγμα, «model» ) universal method of decisionmaking evolutionary Source: EC-ESA workshop on innovation and technology within space exploration, 2008 Thomas Samuel Kuhn , 1922 — 1996

The old and paradigms of the field development n The old paradigm of the The old and paradigms of the field development n The old paradigm of the petroleum production, prevailed over the past century, based on maximizing the complete extraction of resources and minimize costs of their production processes The new paradigm n The new paradigm of the petroleum production - a new concept of values and technical solutions aimed at increasing capitalization (the value of assets) of the company (field) in real time 24/7. Дмитриевский А. Н. , Еремин Н. А. 9 -я международная энергетическая неделя, 10 -11 декабря 2014 г

The life cycle of oil and gas assets n Asset Integrity means the ability The life cycle of oil and gas assets n Asset Integrity means the ability of the Asset to perform its required function effectively and efficiently whilst safeguarding life and the environment throughout its life cycle. Дмитриевский А. Н. , Еремин Н. А. 9 -я международная энергетическая неделя, 10 -11 декабря 2014 г

Well management Еремин Н. А. Управление разработкой интеллектуальных месторождений, М. , Недра, 2011 г. Well management Еремин Н. А. Управление разработкой интеллектуальных месторождений, М. , Недра, 2011 г.

Basic Elements of Asset Integrity: n n n 1. Design Integrity 2. Operational Integrity Basic Elements of Asset Integrity: n n n 1. Design Integrity 2. Operational Integrity 3. Technical Integrity 4. Asset Security Assurance On every step we assess risk for each element.

Integrated Asset Management in a real time Typical oilfield workflow. A system of automated Integrated Asset Management in a real time Typical oilfield workflow. A system of automated routines and subroutines acquires, conditions and analyzes field data in time for asset managers to respond to changing operational conditions.

Integrated Asset Management in a real time Workflows for asset management. Separate workflows for Integrated Asset Management in a real time Workflows for asset management. Separate workflows for data conditioning, well performance and reservoir performance show the interactions between various processes, in which output from one workflow serves as input for those that follow. Source: [2]

Where Have We Found Value? Acceleration by Commingled Production 59% Acceleration by Optimized Sequential Where Have We Found Value? Acceleration by Commingled Production 59% Acceleration by Optimized Sequential Production 7% Intelligent Production of Oil Rims 7% Increasing Reserves per Well (Intelligent Multilaterals) 6% Fluid Transfer for Sweep or Pressurization 6% Reducing Intervention Costs 5% Intelligent Infill Drilling 4% Improving Drive Processes (Waterflood and Gas Drives) 4% Intelligent Appraisals 2%

Subject of Discussion …where the combination of hardware and systems; data and standards, people Subject of Discussion …where the combination of hardware and systems; data and standards, people and skills enables the organization to access and improve difficult oil fields (Guldemond, 2011) • Enhance decision-making; • Reduce Cycle time; • Increase Productivity; • Rapidly deliver Enterprise Intelligence 13

IT GOVERNANCE Specifies a framework for management accountabilities and responsibilities regarding ITrelated decisions Titre IT GOVERNANCE Specifies a framework for management accountabilities and responsibilities regarding ITrelated decisions Titre de la Présentation – Lieu et Pays – Date Jour Mois Année 14

STATOIL SUBSEA FACTORY June 2012, the Underwater Technology Conference in Bergen • The processing STATOIL SUBSEA FACTORY June 2012, the Underwater Technology Conference in Bergen • The processing element - treated to be safely transported in flowlines to a downstream host. • Pressure boosting, separation, sand removal and heat exchange. • A “subsea hub” - co-mingled, and potentially tied into the subsea hub • Brown field factory • Green field Subsea-Factory to host • Subsea Factory to market Titre de la Présentation – Lieu et Pays – Date Jour Mois Année 15

The intellectual resource-innovative development of the oil and gas industry, Sources: IPNG RAS, ITPS The intellectual resource-innovative development of the oil and gas industry, Sources: IPNG RAS, ITPS Active management (active) : Reactive control (reactive): q The increase in oil production – 1% q Increase in oil reserves - 1 billion tons (~5%) q Increase of oil recovery ratio– 1% q Specific costs for automation– $0, 1/т q Reduced specific costs of oil– 2% q Labour productivity growth– 12% q The increase in oil production – 4% q Increase in oil reserves - 2 billion tons(~10%) q Increase of oil recovery ratio– 5% q Specific costs for igitalization $0, 2/т q Reduced specific costs of oil – 5% q Labour productivity growth– 5% Proactive management on the basis of potential theory (proactive): q The increase in oil production– 10% q Increase in oil reserves - 3 billion tons (~15%) q Increase of oil recovery ratio– 10% q Specific costs intellectualization $0, 3/т q Reduced specific costs of oil– 15% q Labour productivity growth– 10% Oil and Gas Industry Traditional, automated Digital Intellectual 16

Industrial Io. T (Internet of Things): results of implementation Industrial Io. T (Internet of Things): results of implementation

New Challenges and Tasks New Challenges and Tasks

Convergence and Virtualization Convergence and Virtualization

Convergence and Virtualization Convergence and Virtualization

Traditional Computing Model Traditional Computing Model

Traditional Computing Model Traditional Computing Model

FOG computing FOG computing

Optimization of personnel Optimization of personnel

Conclusion The amount of work in smart wells will increase drastically soon, so different Conclusion The amount of work in smart wells will increase drastically soon, so different companies understand this situation and develop new technologies for better control of developing and production. Nowadays Future(Trends) Partial intervention and decisionmaking by human in communication systems Partial intervention and decisionmaking by human in information systems Onshore mining due to weak communication and information systems Only pressure drop could help to detect leakage on the seabed All decisions and processes are controlled by artificial intelligence Subsea mining Fiber optic system helps to detect leakage more easily

Referencies Garichev S. N. , Eremin N. A. Technology of management in real time. Referencies Garichev S. N. , Eremin N. A. Technology of management in real time. The Moscow Institute of Physics and Technology (State University), Part 1, 2013, ISBN 978 -5 -7417 -0501 -8; ISBN 978 -5 -7417 -0503 -2, 228 p. Garichev S. N. , Eremin N. A. Technology of management in real time. The Moscow Institute of Physics and Technology (State University), Part 2, 2013, ISBN 978 -5 -7417 -0501 -8; ISBN 978 -5 -7417 -0505 -6, 167 p

Referencies Еремин Н. А. Управление разработкой интеллектуальных месторождений: Учеб. пособие для вузов: В 2 Referencies Еремин Н. А. Управление разработкой интеллектуальных месторождений: Учеб. пособие для вузов: В 2 кн. – Кн. 1. М. : РГУ нефти и газа имени И. М. Губкина, 2011. – 200 с. : ил. ISBN 978 -5 -91961 -019 -9 Еремин Н. А. , Еремин А. Н. Управление разработкой интеллектуальных месторождений: Учеб. пособие для вузов: В 2 кн. – Кн. 2. Учеб. пособие для вузов: М. : РГУ нефти и газа имени И. М. Губкина, 2012. – 165 с. : ил. ISBN 978 -5 -91961 -329 -7.

Referencies Еремин Н. А. Современная разработка месторождений нефти и газа. Умная скважина. Интеллектуальный промысел. Referencies Еремин Н. А. Современная разработка месторождений нефти и газа. Умная скважина. Интеллектуальный промысел. Виртуальная компания: Учеб. пособие для вузов. //М. : ООО «Недра. Бизнесцентр» , 2008. – 244 с. : ил. ISBN 978 -58365 -0311 -6 A 1 exander N. Eremin, Anton N. Eremin, Nikolai A. Eremin Smart Fields and Wells, Publishing Center of Kazakh-British Technical University (KBTU) JSC, 2013, 320 p. , Almaty, ISBN 978 -601 -269 -053 -8

Referencies Пономарева И. А, Еремин Н. А. , Богаткина Ю. Г. Экономико-методическое моделирование разработки Referencies Пономарева И. А, Еремин Н. А. , Богаткина Ю. Г. Экономико-методическое моделирование разработки нефтегазовых месторождений// М. - Наука, 2010 г. -112 стр. ISBN: 978 -5 -02 -036975 -7 Еремин Н. А. Моделирование месторождений углеводородов методами нечеткой логики. // М. -Наука, 1994 г, 462 с. ISBN 5 -02 -001846 -5

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