Best Practices and Lessons Learned After 10 Years of Digital Oilfield (DOF) Implementations

Saputelli, Luigi; Bravo, César; Nikolaou, Michael; López, Carlos M.; Cramer, Ronald; Mochizuki, Seibu; Moricca, Giuseppe

doi:10.2118/167269-ms

Cited by 37 publications

(7 citation statements)

References 34 publications

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“…Reports and publications the last decade have shown numerous lessons learned from successful implementations and challenges with implementation of Integrated Operations [3,11,12,13,14,15,16,17,18,19,20,21,22,23,24]. In general, recent reports focusing on value, conclude that the technology is mature, and IO is delivering as expected within each function, but there is still some way to go to reap the benefits from cross functional integration.…”

Section: Unlocking the Potential -Changing How Work Gets Donementioning

confidence: 99%

Analysis and Planning Framework for Nuclear Plant Transformation

Thomas

Remer

Primer

et al. 2020

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Commercial nuclear power in the U.S. has been an unqualified success by any measure, providing safe, low-cost, carbon-free baseload electricity for decades. Today, the industry is at the peak of its historical performance in terms of generation output, reliable operations, and demonstrated nuclear safety. However, with the emergence of subsidized renewables and shale-gas generation, it is no longer among the lowest-cost electric generation sources. The business model that served the operating nuclear fleet so well over its initial lifespan is now a drag on cost performance, due to its reliance on a large, highly skilled labor force. In contrast, digital technology and innovation are enabling dramatic efficiencies in energy production, resulting in fierce competition for commodities such as electricity. The nuclear power industry responded to this challenge with many initiatives to improve efficiency and modernize plant equipment, especially in areas where reliability and obsolescence issues are pressing. However, it would be a missed opportunity to merely modernize the plant components and work processes of an outdated business model formulated to manage the technology of the 1960s. Rather, the greater opportunity is to transform that business model into one that fully exploits the capabilities of modern digital technology, resulting in substantially lower production costs and sustainable market viability. A successful example of one such transformation is the concept of integrated operations (IO), introduced into the North Sea oil and gas (O&G) industry a couple decades ago when the profitability of operating these fields was severely threatened by low global petroleum prices and the high overhead of operating offshore O&G platforms. This effort resulted in significant changes to how these oil fields were operated, enabling the industry to continue operating the platforms profitably. This example has remarkable parallels to the U.S. commercial nuclear industry. This report provides an analysis and planning framework for transforming the current nuclear power plant (NPP) operating model via transferable learnings from the North Sea O&G industry. This framework is termed "Integrated Operations for Nuclear" (ION). This report describes the key principles and methods of IO and how they are being applied via collaboration between the Department of Energy (DOE) Light Water Reactor Sustainability (LWRS) Program and Xcel Energy in an initiative to transform the NPP operating model in order to foster performance improvement and long-term sustainability. It describes a method for bringing the operating costs of a nuclear fleet in line with market-based pricing and transforming work functions to reduce costs via technological innovations. This initiative will continue over the next several years in the form of detailed development of transformative concepts for NPPs-the results of which will be published as a follow-up to this initial report on ION.

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Section: Unlocking the Potential -Changing How Work Gets Donementioning

confidence: 99%

Analysis and Planning Framework for Nuclear Plant Transformation

Thomas

Remer

Primer

et al. 2020

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“…Some of the solutions applied for the implementation of analytics are business intelligent platforms, process modelling tools, statistical and stochastic applications (Luigi et al, 2013). Some of the solutions applied for the implementation of analytics are business intelligent platforms, process modelling tools, statistical and stochastic applications (Luigi et al, 2013).…”

Section: Predictive Analytics and Artificial Intelligencementioning

confidence: 99%

“…Therefore appropriate practices for data management form an essential component in DOF (Luigi et al, 2013). Before data analysis, the data first needs to be corrected and validated to remove inconsistencies and errors.…”

Section: Data Integration Validation and Managementmentioning

confidence: 99%

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Emerging Technologies and Workflows in Digital Oil Field

Chanana

Soni

Bhakne

2016

Day 2 Wed, March 23, 2016

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The need for the petroleum industry to understand more about subsurface and surface operations has driven it to gather greater data volumes of various types at high frequency. However, searching relevant information from this data is quite complex and time consuming, complicating the decision making process.With emerging technologies, business processes are improving and the industry experts are able to design more intelligent, advanced and automated workflows. These advanced workflows are required to bridge the gap between various inter-linking operations and to reduce time lag. This results in reducing the time involved in decision making and improving the quality of decision. In the same way, managing data has advanced to a great extent with evolving technology. Data management, which includes data gathering from various sources, data cleansing, validating and analyzing, is required to manage huge amounts of data and take quick actions for better business benefits. The need for integration of data management and improved business processes in the oil and gas industry has given rise to several Digital Oil Field (DOF) implementations over the decade.Digital Oil Field, an evolving technology, has transformed from a reactive approach to a proactive approach. In the past decade, DOF involved installing devices such as sensors on the field to gather data. Now, it has moved to visualizing data on dashboards, monitoring, and making operations effective. Soon we will have smarter solutions where systems will make decisions and indicate potential means to overcome issues with the help of best practices and predictive analysis.This paper aims to review the work done in the sphere of DOF over the decade. Basic DOF architecture and data flow in business processes from data capturing to visualization are also explained briefly in this paper. The benefits of DOF technologies to the petroleum industry, the success factors of DOF and its future direction are also discussed.

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“…The leading line in this trend is the introduction of "digital field" (or "smart fields") technologies [3][4][5]. Philosophy of the digital field is the principle of "measure-model-decidefulfill-and-control".…”

Section: Introductionmentioning

confidence: 99%