Digital oilfields - The purpose of the digital oilfield is to maximize oilfield recovery, eliminate non- productive time, and increase profitability through the design and deployment of integrated workflows. Digital oilfield workflows combine business process management with advanced information technology and engineering expertise to streamline and, in many cases, automate the execution of tasks performed by cross- functional teams. All of them attempt to describe various uses of advanced software and data analysis techniques to improve the profitability of oil & gas production operations. Frequently recurring digital oilfield themes include. To achieve this, digital oilfields must either subsume or accelerate many of the tasks and processes traditionally performed by engineers, geoscientists, field technicians, financial analysts, and even managers. The industry has come to refer to ordered, related collections of such tasks as workflows, and industry professionals increasingly think in terms of workflow design. Analysts estimate that North American oil companies are losing nearly $2 billion a week at current prices. Oil Prices, Technology. From Smart to Intelligent. Oil was first discovered within. The language of oil & gas production has changed to reflect the adoption of their techniques. Traditional segmentations of responsibilities among functional lines (e. Digital oilfields, in one sense, comprise sets of workflows that allow fast, collaborative execution of interrelated tasks among distributed (virtual) teams, with an end result that is optimal, efficient, and more profitable. However, one of the earliest targets for workflow orchestration was the integrated modeling of flow through a pressure- connected network of reservoirs, wells, and surface production facilities. Stay up-to-date on the newest technology news and future technology from the editors at Pop Sci Magazine. This type of integrated modeling was first introduced in 1. Engineers working in different disciplines began to be able to foresee potential effects of their decisions on other parts of the production network (e. ![]() ![]() In general, whether deterministic or stochastic, the ability to automate the execution of multiple scenarios was immediately seen as a key advantage of integrated asset modeling, one that continues to influence the design of new workflows. In this way, digital oilfields began to be used more and more for decision support, and there was a coincident drive to obtain workflow results faster in order to maximize the potential cost savings. Therefore, digital oilfields also had to address data management problems . Digital oilfield providers began to speak of . ![]() Data sources had to be developed to load, store, clean, process, and validate data coming from a diverse array of sources, from legacy software file formats, to relational databases, to email, to PDF, and more. All of this data had to be quickly accessible for use in any workflow without regard to its point of origin. BPM gave corporations the ability to enforce best practices, first through the design of workflows by subject matter experts, and then through the subsequent execution of those workflows by all personnel in conjunction with a system of flowchart- based process diagrams, automated email notifications, and mandatory review- and- approve steps. As such, BPM continues to be an important part of any successful digital oilfield deployment. As corporations grew more confident in their use of digital oilfields, they began to desire greater standardization of their systems across assets and regions. Web- based visualization environments became important ways to lower IT costs and to provide widely dispersed teams with a shared vision of models and data. Software as a Service (Saa. Other speakers at Tuesday's Emerging Technology Forum boosted their companies' approach to. Oil patch startups speed date investors.S) became a valuable way for digital oilfield providers to enable precisely the functionality needed by a customer, in a way that was simple for IT administrators to deploy globally, and at any scale . Many of the lessons learned were hard ones, and today some of the greatest difficulties are on the people side of the business: management of change, personnel skill development, design of business processes, and communication of the value proposition to be gained . For instance, whereas at the turn of the century a challenge was instrumenting wells and facilities in order to obtain usable production data, today's challenge is developing simulation and optimization workflows that can consume the massive rate of incoming data, filter it, process it, execute models, perform analysis, and recommend actions to decision- makers. Clearly, attention to health, safety, and the environment will be top of mind issues for operators who lead this transformation of the industry. New technology allows workers to control oil wells with their smartphones Add. Although most oil patch companies can detect large. The Globe and Mail Newspaper. The petroleum industry includes the global processes of exploration, extraction, refining, transporting (often by oil tankers and pipelines), and marketing petroleum. For the past 20 years the Petroleum Technology Transfer Council (PTTC) has provided the oil and gas industry with access to the latest research and technology. Truck driving is the most common job in the oil patch, an area about the size of West Virginia where advances in drilling and extraction technology have made it. Digital oilfield workflows combine business process management with advanced information technology and. The language of oil & gas. As such, digital oilfields will become increasingly concerned with operational efficiency and the optimization of processes that are not directly related to the core petroleum engineering activities for which they are currently used. Digital oilfields will become digital companies, with all information pertaining to the acquisition, development, production, and disposition of oil & gas assets being managed in a centrally- administered system with BPM processes, orchestrated workflows, and notifications. Changes to a production plan in one asset will, through the design of increasingly more sophisticated workflows that include economic analysis, roll up to a revised portfolio optimization plan maintained by the Finance Department, with changes in expected Net Present Value being made immediately available to executive decision- makers. Financial metrics will, at that point, influence the objective functions used to optimize technical operations. At that point, digital oilfields will be indistinguishable from the most advanced factory operations; lean, streamlined, efficient. Computer Combines Offshore Facilities and Reservoir Forecasts. Petroleum Engineer, May: 6. M., and Van Nispen, D. MS. A., Bravo C., Moricca, G., Cramer R., Nikolaou, M., Lopez, C., Mochizuki S. Choices, Changes and Challenges: Lessons for the Future Development of the Digital Oilfield. Society of Petroleum Engineers. Assessing the Maturity of Digital Oilfield Developments. Society of Petroleum Engineers. Digital Oilfield Implementation: Learning From the Ghostbusters. Society of Petroleum Engineers. Z., Williams, J., & Liddle, J. Continuous Improvement of Assets Through Existing and New Digital Oilfield Technology. Society of Petroleum Engineers. Holistic Field Evaluations Improve Prospect Opportunities, Society of Petroleum Engineers, http: //dx. MSBoisvert, I., Strobel, M. A Novel Tubing Movement Workflow Increases Efficiency and Planning for Deepwater Frac. Pack Operations, Society of Petroleum Engineers, http: //dx. MSMachado, L., Costa, M., Correa, S., Regina, E., and Herdeiro, M. Enhance Platform Integrity by a Real- Time Equipment Availability Monitoring Workflow, Society of Petroleum Engineers, http: //dx. MSDusterhoft, R., Strobel, M., and Szatny, M. An Automated Software Workflow To Optimize Gulf of Mexico Lower Tertiary Wilcox Sand Reservoirs, Society of Petroleum Engineers, http: //dx. MSBravo, C. E., Saputelli, L., Rivas, F., Perez, A. G., Nickolaou, M., Zangl, G., De Guzman, N., Mohaghegh, S., and Nunez, G. State of the Art of Artificial Intelligence and Predictive Analytics in the E& P Industry: A Technology Survey, Society of Petroleum Engineers, http: //dx. PAPickering, J., Shields, J., Gidh, Y., Johnson, D., Shehry, M., Khudiri, M., Farnan, M., and Schey, J. WITSML: Laying the Foundation for Increasing Efficiency of Intelligent Wellsite Communications, Society of Petroleum Engineers, http: //dx. MSStrathman, M. Intelligent Energy and Other Industries - Lessons Learned, Society of Petroleum Engineers, http: //dx. MSLochmann, M. The Future of Surveillance, Society of Petroleum Engineers, http: //dx. MSDavidson, J., and Lochmann, M. Well Productivity Index Degradation: Applied Modeling Workflow, Society of Petroleum Engineers, http: //dx. MSGarcia, A., Rebeschini, J., Martins, D., Vieira, C., Nunes, F., Da Silva, E., and Herdeiro, M. Enhanced Reservoir Scenarios Management Workflow, Society of Petroleum Engineers, http: //dx. MSTeotico, D., Schauerte, L., Griffith, J., Schottle, G., and Mehl, R. Simulations of Field- Development Planning Help Improve Economics of Heavy- Oil Project, Society of Petroleum Engineers, http: //dx. PAPaulo, A., Taylor, D., Isichei, O., King, M., and Singh, G. Transforming Operations with Real Time Production Optimization and Reservoir Management: Case History Offshore Angola, Society of Petroleum Engineers, http: //dx. MSSaputelli, L., Ramirez, K., Chegin, J., and Cullick, S. Waterflood Recovery Optimization Using Intelligent Wells and Decision Analysis, Society of Petroleum Engineers, http: //dx. MSAdeyemi, O., Shryock, S., Sankaran, S., and Hostad, O. Society of Petroleum Engineers, 2. Sept. Society of Petroleum Engineers, https: //webevents. Industry Groups and Associations. SPE Intelligent Energy International: http: //www. SPE Digital Energy Study Group: http: //www. Center for Integrated Operations in the Petroleum Industry: http: //www. Articles of Interest. Hart Energy - Integrating the Intelligent OIlfield: http: //www. EP- Magazine/archive/Integrating- Intelligent- Oilfield.
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