Optimized Decision Making Through Real Time Access to Drilling and Geological Data from Remote Wellsites

John, Zachariah; Ahsan, Abul; Reid, Ian R.

doi:10.2523/77855-ms

Cited by 3 publications

(3 citation statements)

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“…Фахівцями проаналізовано основні підходи до автоматизації процесу буріння свердловин на нафту і газ з метою виділення контекстів задач підтримки прийняття рішень щодо вибору відповідних релевантних значень контрольованих параметрів [1][2][3][4][5]. Питання побудови таких систем поєднує проблеми комп'ютербазованого контролю для отримання інтелектуальної системи з контрольованими параметрами, що відповідає гірничо-геологічним та техніко-технологічним особливостям спорудження свердловини, що дає змогу ефективно поєднувати можливості операторів-буровиків та віддалених центрів корпоративного рівня [6][7][8][9][10]. Варіативність умов буріння робить надскладною задачу оптимізації бурових операцій для досягнення максимальної ефективності процесу [11][12][13].…”

Section: аналіз сучасних закордонних і вітчизняних досліджень і публіunclassified

Case-Based Reasonings and Constraints-Based Specifications for the Drilling's Parameters Control Systems

Chesanovskyy¹

2018

RRNGR

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The means of really applicable methodologies of well control are outlined in the form of the interaction of the technological process expert with the means of the adaptation and modification process in order to obtain the necessary knowledge for the use, in fact, correct adaptation in the key substitutions modification form of the initialized parameter’s values. Since the response time for the correction action in the wellbore in the case of emergency is a key factor in the effective control of the well in general, the use of intelligent drilling systems is a high-priority task to prevent possible extraordinary situations on the whole and an important factor in improving quality, efficiency and safety of drilling rigs operations.

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Section: аналіз сучасних закордонних і вітчизняних досліджень і публіunclassified

Case-Based Reasonings and Constraints-Based Specifications for the Drilling's Parameters Control Systems

Chesanovskyy¹

2018

RRNGR

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“…The value of using real-time data handling and visualization has been well-documented in literature [2][3][4][7][8][9] . Here, we provide some examples of products, services, and work processes that have added particular value (characterized using the abovementioned KPI's) to our operations:…”

Section: Examples Of Value Addedmentioning

confidence: 99%

Evolution of Real-Time Operations Monitoring: From Concept to Global Implementation

Oort

Rosso

Cabello³

2005

SPE Annual Technical Conference and Exhibition

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TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractThe unique challenges posed by deepwater wells of everincreasing complexity continue to force operators and service companies to explore new and innovative well delivery solutions. In early 2002, Shell Exploration and Production Americas took an important step towards well performance optimization with the initiation of a pilot study into real-time, remote monitoring of exploration and production wells in the Gulf of Mexico (GoM). Starting with a small-scale "war room" concept with limited scope, the pilot quickly grew into the current New Orleans-based "Real-Time Operations Center" (RTOC), which monitors all offshore wells in the GoM as well as major exploration wells globally. Main objectives of this multidisciplinary collaboration center are to enable more pro-active well planning and improve well execution by reducing non-productive time (NPT) and invisible lost time (ILT). The success of the RTOC, as well as that of other independent well visualization and monitoring pilots in the Shell Group, has meanwhile led to significant steps towards global expansion and coverage.In a follow-up to earlier papers 1,2 , we describe the current state-of-the-art in real-time operations monitoring technology deployment in the RTOC, and how it has evolved from the original pilot phase. We discuss the center's various activities, demonstrate how they add value and how this value is being measured. Key hurdles and success factors for implementation of an operations center are summarized. Moreover, the preliminary learnings from global deployment are shared.The information may serve as a blueprint for the planning, design and operation of a real-time operations center both locally, regionally and globally. The expansion of real time engineering and monitoring services across the globe is a challenging and pioneering undertaking. Consequently, we hope that this paper will help to lead the way in expanding this capability in the oil and gas industry in general. Historical EvolutionThe progression in utilization of operations center technology in Shell E&P Americas can be succinctly captured by the following three phases: to members of Shell's Operations Center CIN (

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“…John et al [63] introduced a web-based data delivery system which provided encrypted and high data transmission (as high as 10-20 times that of conventional FTP transfer rates) in real-time. They mentioned that a paradigm shift in the way the asset team and contractors utilize data for early decisions was created.…”

Section: Real-time Drilling Optimization Studiesmentioning

confidence: 99%

Real Time Optimization of Drilling Parameters During Drilling Operations

Eren

Özbayoğlu

2010

SPE Oil and Gas India Conference and Exhibition

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Approval of the thesis:iii I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not original to this work. Real-time optimization of drilling parameters during drilling operations aims to optimize weight on bit, bit rotation speed for obtaining maximum drilling rate as well as minimizing the drilling cost. The process is considered to be formation specific. A statistical method such as multiple linear regression technique has been used for the drilling optimization. An extensive literature survey on drilling optimization was conducted for this research study. A model is developed for this purpose using actual field data collected through modern well monitoring and data recording systems, which predicts the rate of drilling penetration as a function of available parameters.The rate of penetration general equation is optimized for effective functions at each data point. In order to optimize the parameters in the field, a computer network is required to be developed. The computer network will keep the piped data directly from the data source, and continuously be collecting the new data to be fed. A database present at the central computer will be continuously calculating the developed model parameters by means of multiple regression technique and inform the team at the field. The field engineer will transmit the current drilling parameters back to the central computer, and the headquarters will determine the new model parameters and optimum drilling parameters by including the recently received information. Therefore, there will be a real-time-optimization process. It is considered that this technique is going to be widely used in future drilling activities v since it could reduce drilling costs and minimize probability of encountering problems due to working with optimized parameters.It has been found that drilling rate of penetration could be modelled in real-time environment as a function of independent drilling variables such as weight on bit, rotation speed of the string, drilling fluid weight, and formation characteristics. The ability to have the drilling rate of penetration with respect to depth characteristically with certain parameters for specific formations on real-time basis could bring new insights to the nature of drilling optimization studies. Any significant departure of the actual rate of penetration from the predicted rate of penetration trend could have important indications which could be detected beforehand in real-time. The study has also achieved one of its objectives, giving the optimized independent drilling parameters found following statistical synthesis.

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Optimized Decision Making Through Real Time Access to Drilling and Geological Data from Remote Wellsites

Cited by 3 publications

References 0 publications

Case-Based Reasonings and Constraints-Based Specifications for the Drilling's Parameters Control Systems

Case-Based Reasonings and Constraints-Based Specifications for the Drilling's Parameters Control Systems

Evolution of Real-Time Operations Monitoring: From Concept to Global Implementation

Real Time Optimization of Drilling Parameters During Drilling Operations

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