Intelligent digital oilfield (iDOF) operations have gained momentum in the past few years, transformed from being merely a vision to real-world projects with quantifiable value. Challenges such as increased energy demand and diminishing new discoveries, coupled with a lack of specialist-domain expertise and trained personnel to efficiently operate assets, have forced operators to rethink the traditional way of asset management to increase productivity and operational efficiency. The amount of information that asset managers now have to make decisions has increased dramatically in the last few years. More data about a problem can lead to improved decisions, but it also increases the complexity of the decision-making process. Asset teams need tools and technologies to help them quickly and efficiently analyze and understand all this data so they make better, faster decisions. To help asset teams meet these challenges, a new generation of petroleum workflow automation integrates real-time data with asset models, helping team members to collaborate so they can better analyze data and more fully understand asset problems. We're calling this new generation of automated, intelligent workflows "smart flows." This approach is cutting-edge, but also more complex. The complexity is addressed with the use of artificial intelligence technology, such as proxy models and neural networks, coupled with a visualization engine to provide an effective visual data mining tool. The objective of this new generation of petroleum workflow automation is to provide integrated solutions to asset opportunities and guide the operations with instructions based on smart analysis and integrated visualization. This paper provides an overview of a workflow automation environment that is being implemented for a major operator.
Although oilfield workflow automation processes have been implemented in the oil and gas industry during the last decade, the full impact and value of these technologies has yet to be realized. Tremendous potential still exists to implement new technology to maximize production, increase operational efficiency, and reduce down time/non-productive time. The Kuwait Integrated Digital Field project (KwIDF) is a novel intelligent digital oilfield operation for Kuwait Oil Company, the operator of the Sabriyah field in North Kuwait. The project has successfully implemented improvements in field's operational efficiency by reducing the down time in artificial lift completion, increasing well productivity, and preventing water production. This paper provides an overview of the project from the perspective of field data acquisition, data analysis, model analysis, diagnostics, and operational optimization conducted in "right time" in the operator's state-of-the-art collaboration center. The automated workflow system orchestrates integrated solutions that not only provide monitoring in real time, but also enable diagnostics and optimization for individual wells. The automated workflow integration and orchestration conducted by the production team within a collaborative work environment covers the following aspects described in this paper: production surveillance (including alarming and alert events), well performance, production losses, artificial lift optimization, and key performance monitoring.
This paper presents transformational steps taken by a national oil company, KOC, and lessons learned to introduce the digital culture within its management and professional organization. The drivers were many, mostly emanating with the concerns for enhancing production of green fields, arresting production decline in mature reservoirs, minimizing workovers, enhancing health and safety issues with oilfield operations and reducing decision-cycle time by effective professional engagement of subject matter experts. Solutions required planning steps to unload the engineering task force from the burden of getting and managing information to deciding on options and consequence analysis presented by interpreted data. The acceptance of transitioning to a digital culture was natural and intuitive among the top brass. They supported step changes for creating appropriate decision space, for developing and cataloguing work processes and for training staff. On the technology side some tasks identified were advanced measurement and telemetry technologies, data handling, access and analysis, information visualization, automatic control and integrated decision making. As a transition, the process started on three pilot projects each providing the training ground to transform the way subject matter expertise can be harvested within the entire organization. Experienced professionals from different assets were selected and trained for utilizing their expertise for team assignments related to multiple critical projects. Accomplishment of this complex task within a national oil company is in principle a lot more complex than perhaps in the IOC's; but the vision communicated within the organization was effective in developing a successful roadmap to the transition.
Although oilfield workflow automation processes have been implemented in the oil and gas industry during the last decade, the full impact and value of these technologies has yet to be realized. Tremendous potential still exists to implement new technology to maximize production, increase operational efficiency, and reduce down time/non-productive time. The Kuwait Integrated Digital Field project (KwIDF) is a novel intelligent digital oilfield operation for Kuwait Oil Company, the operator of the Sabriyah field in North Kuwait. The project has successfully implemented improvements in field's operational efficiency by reducing the down time in artificial lift completion, increasing well productivity, and preventing water production. This paper provides an overview of the project from the perspective of field data acquisition, data analysis, model analysis, diagnostics, and operational optimization conducted in "right time" in the operator’s state-of-the-art collaboration center. The automated workflow system orchestrates integrated solutions that not only provide monitoring in real time, but also enable diagnostics and optimization for individual wells. The automated workflow integration and orchestration conducted by the production team within a collaborative work environment covers the following aspects described in this paper: production surveillance (including alarming and alert events), well performance, production losses, artificial lift optimization, and key performance monitoring.
TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractKuwait Oil Company, in its initial approach to employing knowledge management principles across the enterprise, developed an intranet website for employees to publish details of their expertise and examples of their work. PeopleLink was concieved and created in less than a year, winning a Microsoft award on the way.
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