Making Our Mature Fields Smarter—An Industrywide Position Paper From the 2005 
SPE Forum

Murray, Roger K.; Edwards, Clement; Gibbons, Kathryn; Jakeman, Simon Victor John; Jonge, Gert de; Kimminau, Stephen; Ormerod, L. David; Roy, C.; Vachon, Guy

doi:10.2523/100024-ms

Cited by 2 publications

(1 citation statement)

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“…The importance of people and process in the digital oil field has been widely acknowledged 8,9,10,11 . Given the global industry workforce challenges and the increasing flow of data available to employees, it is critical that employees have the means to work collaboratively, to share and draw on all available expertise and experience to enable appropriate decision making.…”

Section: Introduction and Contextmentioning

confidence: 99%

Real-Time Collaboration—Efficient Problem Solving and Extending Resources

2008

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To meet the challenges to the industry of increasing hydrocarbon demand, increasing well complexity, reduced employee experience levels and the large physical distances between operational centers, advances in digital technologies are being increasingly leveraged by both operator initiatives and service company initiatives such as Halliburton's Digital Asset. Terms such as "smart wells" and "real time" have become more commonplace. Data is being generated faster than ever. The ability to interpret this data, model the data and implement optimized solutions in real time is critical to operational success. The demands placed on operating in a cost efficient manner, with greater returns on investment are ever present.The use of a Knowledge Management collaboration tool, a key component of the Digital Asset, helps to meet these challenges by providing a real time collaborative environment which spans global operations, supports and develops synergies between multiple disciplines and transcends geographical and language barriers. Through its use an intentional shift in focus has taken place from centrally located sources of expertise to virtual ones. Virtual centers of collaboration empower users to collaborate, problem solve and share knowledge on demand. Any user, i.e. employee, can rapidly access the global expertise needed to put well challenges, potential solutions and increasing volumes of data and information in appropriate context. Through access to these extended resources employees can solve problems more efficiently and offer better solutions. Technical experts can cover more ground. Collaboration is facilitated by dedicated personnel who maintain a vital link with local, regional, and global technology leaders.Examples from Canada, where the use of this approach contributed to an HTHP well being saved, along with an estimated cost of $15 million, from China where urgent advice was delivered to a rig experiencing an underground blowout and from Brazil where global experts collaboratively contributed to solving a wellbore stability problem will demonstrate how real time collaborative solutions are developed and moved from the virtual to real world environment to improve operational service delivery to external clients in the global market place. Lessons learned, best practices and strategies employed to engage users in the use of this collaborative environment are outlined.

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Section: Introduction and Contextmentioning

confidence: 99%

Real-Time Collaboration—Efficient Problem Solving and Extending Resources

2008

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A Bayesian Optimization Workflow for Integrated Asset Management Under Uncertainty

Taha,

Abdallah,

Shabani

et al. 2024

Day 2 Tue, February 13, 2024

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To improve production under existing facility operating constraints, while minimizing emissions and energy consumption, operators today are looking for workflows that integrate surface and subsurface models as a foundational pillar of the digitalization of oilfield operations. In this work, we investigate the investment and operational planning of a multi-field asset development under uncertainty. Our solution is an integrated workflow for scheduling, forecasting, and optimizing the multi-field asset across the entire value chain, from the subsurface reservoirs to delivery to market. Our integrated operation and optimization workflow example consists of one gas condensate and two oil reservoirs models, coupled to a common production surface network model, itself connected to a processing facility model, together with an economic model. Consistent PVT properties have been used throughout the system. The thermo-hydraulic performance of the production network is modelled using a drift flux based mechanistic approach. Operational constraints are honoured on wells, surface network, and processing facility. Our proposed solution is built in a commercial integrated asset management platform that connects the models and orchestrates their execution and optimization. We have successfully integrated the subsurface, gathering systems, and surface facility models. This integration has allowed us to better understand the behaviour of the field and optimize its operation. By combining data and workflows across multiple disciplines, we can make informed decisions more efficiently and more reliably and mitigate risk with confidence. Bayesian optimization offers an alternative solution to traditional ensemble methods by using probabilistic surrogate models that can capture and propagate uncertainties from multiple disciplines without the need for large ensembles. The solution is equipped with unified analytical and diagnostics dashboards for the multidisciplinary technical asset team including management for decision making under uncertainty. This is a truly part of a digital twin of the oilfield with improved asset management under uncertainty in the era of digital transformation.

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Making Our Mature Fields Smarter—An Industrywide Position Paper From the 2005 SPE Forum

Abstract: TX 75083-3836, U.S.A., fax 01-972-952-9435. Abstract This paper summarizes the findings of the SPE Forum held in September 2005 on "Making our Mature Fields Smarter".

Cited by 2 publications

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Real-Time Collaboration—Efficient Problem Solving and Extending Resources

Real-Time Collaboration—Efficient Problem Solving and Extending Resources

A Bayesian Optimization Workflow for Integrated Asset Management Under Uncertainty

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